{"meta":{"query_hash":"f5f2b9dab558","filters":{"venue":"Journal of Theoretical Biology"},"cohort_total":582,"direct_labels_cover":0,"predictions_cover":582,"exported":582,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/f5f2b9dab558","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Theoretical+Biology"},"results":[{"id":"W1011083557","doi":"10.1016/j.jtbi.2015.06.001","title":"Multidimensional models for predicting muscle structure and fascicle pennation","year":2015,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aponeurosis; Fascicle; Anatomy; Contraction (grammar); Muscle contraction; Constant (computer programming); Ankle; Mathematics; Computer science; Biology","score_opus":0.0148069736521928,"score_gpt":0.24540405467044082,"score_spread":0.23059708101824802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1011083557","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31753632,0.00093973166,0.6779193,0.0006544137,0.0000810139,0.00006553846,0.00052501494,0.00045104383,0.0018275484],"genre_scores_gemma":[0.9496474,0.00044995287,0.046537112,0.00007214215,0.000053779506,0.00021024307,0.00032842648,0.00006504925,0.0026358205],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997905,0.000087977096,0.000016360398,0.000051092153,0.00003275953,0.00002131943],"domain_scores_gemma":[0.99797565,0.0015027067,0.00020101795,0.00011548114,0.00014394932,0.00006121972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009997574,0.00065514137,0.0007129102,0.0007346128,0.00044024855,0.00097343576,0.00090872607,0.001631698,0.0013927872],"category_scores_gemma":[0.0046146093,0.00072032196,0.0009484428,0.0006694793,0.00052862323,0.0011963858,0.00075242016,0.0011515904,0.0004227113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000195007,0.000028492987,0.0012209256,0.000012627611,0.000027130282,0.000015134113,0.000019870738,0.99189174,0.00032104875,0.0011282304,0.00015621558,0.005159089],"study_design_scores_gemma":[0.0000014272414,0.000004635486,0.0002360795,0.0000015253562,0.000002221663,0.0000033574404,0.0000020007587,0.9991091,0.000030789586,0.0005795021,0.000027045297,0.0000023354191],"about_ca_topic_score_codex":0.0066406666,"about_ca_topic_score_gemma":0.006075126,"teacher_disagreement_score":0.0066406666,"about_ca_system_score_codex":0.00065057434,"about_ca_system_score_gemma":0.00043294812,"threshold_uncertainty_score":0.013204038},"labels":[],"label_agreement":null},{"id":"W1096788051","doi":"10.1016/j.jtbi.2015.07.029","title":"The evolutionary advantage of haploid versus diploid microbes in nutrient-poor environments","year":2015,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of British Columbia","funders":"Japan Society for the Promotion of Science","keywords":"Ploidy; Biology; Nutrient; Population; Growth rate; Ecology; Botany; Genetics; Mathematics; Gene; Demography","score_opus":0.00781833782994954,"score_gpt":0.2652822984500567,"score_spread":0.2574639606201071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1096788051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960141,0.00037568045,0.00088630454,0.000491347,0.000012779823,0.0000016371376,0.00003395068,0.000004733832,0.0021794182],"genre_scores_gemma":[0.9991598,0.00020574481,0.00038132153,0.0000532658,0.000007752113,0.0000017445805,0.000016081374,0.0000028580505,0.00017155787],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997615,0.000098200464,0.000008696632,0.00004871574,0.000031705287,0.00005114318],"domain_scores_gemma":[0.9990594,0.0005186264,0.00010830019,0.00005656362,0.000050865838,0.00020629898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000815387,0.00022114486,0.00043517773,0.0005088159,0.00065174815,0.0011052444,0.0004074933,0.0008614493,0.0020515556],"category_scores_gemma":[0.002664177,0.00013829667,0.00022062339,0.00040565577,0.00081513094,0.0013346035,0.0011231722,0.0005677011,0.00014645],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0043663126,0.0003293718,0.22076245,0.0009764457,0.00064500293,0.003830671,0.0033215475,0.056544226,0.372744,0.23016529,0.0023923777,0.10392235],"study_design_scores_gemma":[0.00048722283,0.0015992951,0.48151788,0.00012925679,0.00045947824,0.0059247473,0.010361797,0.092650935,0.017011141,0.38011932,0.009404267,0.0003346322],"about_ca_topic_score_codex":0.00053765625,"about_ca_topic_score_gemma":0.00089680345,"teacher_disagreement_score":0.0020515556,"about_ca_system_score_codex":0.00047825807,"about_ca_system_score_gemma":0.00026220607,"threshold_uncertainty_score":0.006863177},"labels":[],"label_agreement":null},{"id":"W1135810700","doi":"10.1016/j.jtbi.2015.07.039","title":"The dynamics of temperature and light on the growth of phytoplankton","year":2015,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":85,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Phytoplankton; Bloom; Dynamics (music); Environmental science; Population; Oceanography; Algal bloom; Nutrient; Ecology; Biology; Physics; Geology","score_opus":0.0058424571593437905,"score_gpt":0.2162490269608791,"score_spread":0.21040656980153533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1135810700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992753,0.00017474341,0.0024472568,0.000666361,0.00002885039,0.00000396273,0.0001594844,0.000014001707,0.0037522812],"genre_scores_gemma":[0.99844044,0.00016342304,0.00017418321,0.00003128528,0.000018355362,0.0000024544522,0.00004177619,0.000014731502,0.0011134146],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985456,0.0000622346,0.000004748021,0.000020630641,0.000017401197,0.000040435385],"domain_scores_gemma":[0.9963174,0.0028720023,0.00022191221,0.000089310655,0.00023278854,0.00026658457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065594446,0.00028760332,0.00034923147,0.00035252483,0.0004407575,0.0010270415,0.00045064493,0.00062805694,0.003158112],"category_scores_gemma":[0.0052942354,0.0004308223,0.0004798472,0.00028411378,0.0012312745,0.0012649063,0.0006273023,0.0008847509,0.00041441803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036826374,0.00068113586,0.20410112,0.00037850192,0.00043150428,0.0013942247,0.002104546,0.4656391,0.17647739,0.08853708,0.0063518155,0.050220978],"study_design_scores_gemma":[0.0001271182,0.00019428368,0.2997288,0.000058293772,0.00014531593,0.00029614227,0.0007689177,0.66122067,0.0076628174,0.027959304,0.0016811006,0.00015719277],"about_ca_topic_score_codex":0.008636507,"about_ca_topic_score_gemma":0.0080858935,"teacher_disagreement_score":0.008636507,"about_ca_system_score_codex":0.0010874154,"about_ca_system_score_gemma":0.00043688755,"threshold_uncertainty_score":0.017172456},"labels":[],"label_agreement":null},{"id":"W1155846412","doi":"10.1016/j.jtbi.2015.07.032","title":"Continuum model of T-cell avidity: Understanding autoreactive and regulatory T-cell responses in type 1 diabetes","year":2015,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Avidity; Effector; Immunology; Autoimmunity; CD8; Cytotoxic T cell; T cell; Biology; Medicine; Immune system; Antigen; In vitro; Genetics","score_opus":0.02146686538449797,"score_gpt":0.25486437171477305,"score_spread":0.2333975063302751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1155846412","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38054827,0.0022669476,0.54587954,0.008668375,0.0007051231,0.00008831729,0.00023148712,0.00058981864,0.06102213],"genre_scores_gemma":[0.9699896,0.0005207935,0.01509725,0.00076389714,0.000295146,0.00008616986,0.000041469062,0.00006724677,0.013138426],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99958795,0.00013327626,0.000011547962,0.000057048837,0.00011068026,0.000099437166],"domain_scores_gemma":[0.99902105,0.000514584,0.00008010992,0.00006726819,0.00011244147,0.00020455419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009790396,0.00051130034,0.0011026447,0.00081409625,0.0005964158,0.001272221,0.0035209667,0.0021198138,0.006652523],"category_scores_gemma":[0.0017171156,0.00041032993,0.0009286374,0.0003935495,0.0014534399,0.0031914439,0.0012341834,0.002164713,0.0008724457],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015693261,0.00020559836,0.0012767075,0.000085935324,0.000033018503,0.0004480069,0.00022361723,0.15158758,0.010522762,0.82739735,0.0015378825,0.0065246783],"study_design_scores_gemma":[0.000053050946,0.00006469832,0.00040429435,0.00001018308,0.000013979148,0.00015171857,0.00005170483,0.6244239,0.00037245837,0.3737823,0.0006534463,0.0000181752],"about_ca_topic_score_codex":0.001727217,"about_ca_topic_score_gemma":0.0007554934,"teacher_disagreement_score":0.006652523,"about_ca_system_score_codex":0.0011932708,"about_ca_system_score_gemma":0.0006402926,"threshold_uncertainty_score":0.022254944},"labels":[],"label_agreement":null},{"id":"W1239088256","doi":"10.1016/j.jtbi.2015.08.015","title":"Neutrophil dynamics during concurrent chemotherapy and G-CSF administration: Mathematical modelling guides dose optimisation to minimise neutropenia","year":2015,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Neutropenia and Cancer Infections","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Novartis; Pfizer","keywords":"Neutropenia; Chemotherapy; Medicine; Granulocyte colony-stimulating factor; Dosing; Pharmacokinetics; Regimen; Absolute neutrophil count; Granulocyte; Pharmacodynamics; Pharmacology; Bone marrow; Intensive care medicine; Oncology; Internal medicine","score_opus":0.03352253901922578,"score_gpt":0.32768887506187383,"score_spread":0.2941663360426481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1239088256","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12060311,0.0019057266,0.85218203,0.002915015,0.00016778143,0.00019364954,0.0003205671,0.00033838378,0.021373754],"genre_scores_gemma":[0.94736826,0.0009283628,0.04161837,0.00027775235,0.000055661356,0.00020514226,0.00014054785,0.00016098793,0.00924482],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999796,0.0000743538,0.000010600141,0.000033223343,0.000051148694,0.000034785506],"domain_scores_gemma":[0.99887866,0.0007549662,0.00016354716,0.000031667714,0.00012851087,0.000042719406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000669891,0.00058375817,0.00079590356,0.0002606055,0.00030653286,0.0011643864,0.0009012814,0.0018773254,0.0020946006],"category_scores_gemma":[0.0038639286,0.0006140873,0.00065629306,0.0003090441,0.0005202199,0.0011806318,0.00066259544,0.0011750074,0.00040102715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021116179,0.000007629008,0.00024594762,0.000024987921,0.0000041119633,0.000020987187,0.000021387226,0.9952501,0.00077437185,0.0016255021,0.00016737895,0.0018364505],"study_design_scores_gemma":[0.0000053807225,0.000012360783,0.00009982721,0.0000070448223,0.000003853829,0.00001096619,0.000006540285,0.9984151,0.00025268513,0.00082482747,0.00035743244,0.000004060994],"about_ca_topic_score_codex":0.010602954,"about_ca_topic_score_gemma":0.006994572,"teacher_disagreement_score":0.010602954,"about_ca_system_score_codex":0.0011653323,"about_ca_system_score_gemma":0.0019720776,"threshold_uncertainty_score":0.02108246},"labels":[],"label_agreement":null},{"id":"W1545735097","doi":"10.1016/j.jtbi.2015.06.029","title":"Fixation probabilities on superstars, revisited and revised","year":2015,"lang":"en","type":"preprint","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fixation (population genetics); Robustness (evolution); Population; Statistical physics; Mathematics; Physics; Biology; Genetics","score_opus":0.012930955511691765,"score_gpt":0.28247815377575386,"score_spread":0.2695471982640621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1545735097","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24819344,0.018871378,0.6070367,0.035556853,0.002936157,0.0001069443,0.0014706729,0.00064164505,0.08518621],"genre_scores_gemma":[0.9270734,0.008167727,0.03556082,0.0026598952,0.0052194446,0.00020391868,0.00042877818,0.0005907412,0.020095252],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9957575,0.0017518644,0.00027938824,0.0011807123,0.0006445843,0.00038586275],"domain_scores_gemma":[0.93946785,0.04730608,0.003401216,0.004858927,0.003530807,0.0014350653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013233796,0.0018204214,0.0037074483,0.0035181937,0.0018759721,0.0060412367,0.009626394,0.0046623913,0.018309854],"category_scores_gemma":[0.07953235,0.0018110668,0.002350663,0.0031228245,0.009000395,0.018988542,0.003547127,0.008019266,0.0014703801],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005133745,0.0000126999685,0.0006304235,0.00022133144,0.000058215188,0.00015197416,0.0002786075,0.01351779,0.00033347317,0.97436905,0.0031950139,0.0071802237],"study_design_scores_gemma":[0.000026835267,0.000016465792,0.0006384179,0.000063314255,0.000036966892,0.00019228857,0.000062691615,0.042810954,0.000115545285,0.95429903,0.0016843003,0.000053253145],"about_ca_topic_score_codex":0.004140896,"about_ca_topic_score_gemma":0.0031736316,"teacher_disagreement_score":0.018309854,"about_ca_system_score_codex":0.0035742312,"about_ca_system_score_gemma":0.0010900364,"threshold_uncertainty_score":0.06998783},"labels":[],"label_agreement":null},{"id":"W1702470663","doi":"10.1016/j.jtbi.2005.12.007","title":"Self-other organization:","year":2006,"lang":"en","type":"review","venue":"Journal of Theoretical Biology","topic":"Origins and Evolution of Life","field":"Physics and Astronomy","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Protocell; Context (archaeology); Natural selection; Set (abstract data type); Novelty; Selection (genetic algorithm); Process (computing); Replication (statistics); Computer science; Natural (archaeology); Transformation (genetics); Living systems; Self-organization; Biology; Artificial intelligence; Genetics; Psychology","score_opus":0.011131426017741364,"score_gpt":0.30477708544747845,"score_spread":0.2936456594297371,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1702470663","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00035874342,0.9896869,0.0017488878,0.001746706,0.001048075,0.000008458504,0.000011453364,0.000015644968,0.0053750253],"genre_scores_gemma":[0.00630505,0.98781407,0.0009628005,0.0010109678,0.0011800017,0.000021129194,0.000027449807,0.0000053263125,0.0026733251],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99980325,0.000046876183,0.000016616568,0.000038074246,0.00007253308,0.000022723814],"domain_scores_gemma":[0.99955183,0.0002143691,0.000047884336,0.000032242002,0.000108573164,0.0000450461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007294967,0.00081044564,0.0015928282,0.0014723114,0.0006461226,0.0027485057,0.0020201423,0.0022781184,0.0027151767],"category_scores_gemma":[0.0008353672,0.00035954893,0.00030282815,0.0023065775,0.0043191584,0.00466136,0.0014218749,0.0024608558,0.0012302118],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049118506,0.0000878553,0.00035445686,0.0071255565,0.00008928854,0.00027202768,0.00044108584,0.0009075065,0.0012486345,0.20721272,0.055961575,0.7262501],"study_design_scores_gemma":[0.000013394392,0.000026522439,0.00050909823,0.0019772563,0.000030439925,0.0011704443,0.00019691252,0.00038886562,0.00030170268,0.0918799,0.90348256,0.000022928602],"about_ca_topic_score_codex":0.0010083296,"about_ca_topic_score_gemma":0.0016089558,"teacher_disagreement_score":0.0027485057,"about_ca_system_score_codex":0.001163664,"about_ca_system_score_gemma":0.001351756,"threshold_uncertainty_score":0.009083152},"labels":[],"label_agreement":null},{"id":"W1790933236","doi":"10.1016/j.jtbi.2015.09.031","title":"How direct competition shapes coexistence and vaccine effects in multi-strain pathogen systems","year":2015,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Pneumonia and Respiratory Infections","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Society for Vascular Surgery","keywords":"Pathogen; Biology; Pairwise comparison; Competition (biology); Colonization; Strain (injury); Microbiology; Vaccine efficacy; Pneumococcal conjugate vaccine; Transmission (telecommunications); Genetics; Virology; Vaccination; Streptococcus pneumoniae; Bacteria; Ecology; Computer science; Mathematics; Statistics","score_opus":0.0295796614563098,"score_gpt":0.30369772705245407,"score_spread":0.27411806559614427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1790933236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9554287,0.00033974598,0.021366084,0.0012382637,0.000091469825,0.000028981121,0.0000573841,0.00005620988,0.021393072],"genre_scores_gemma":[0.9983255,0.000057952744,0.00072814786,0.000068274996,0.000013752137,0.000010483348,0.00000845356,0.000008217762,0.00077921205],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929893,0.0003355833,0.000017403274,0.00010741265,0.00007679973,0.00016386504],"domain_scores_gemma":[0.9961765,0.002441128,0.00032851959,0.00026084503,0.00020329593,0.000589809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013117285,0.00032025095,0.0006010297,0.0004344982,0.00089437957,0.0018399511,0.00094715145,0.0012753238,0.00901258],"category_scores_gemma":[0.007541575,0.00032095457,0.00048014658,0.0001881288,0.001564406,0.0024546492,0.0017137048,0.00095797866,0.00043640222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010020505,0.0006570339,0.03822933,0.0005876202,0.00051430345,0.0017380419,0.0015363082,0.20725828,0.09523052,0.6081284,0.0055057546,0.03961234],"study_design_scores_gemma":[0.00023425756,0.0007703174,0.020148244,0.000039877043,0.0002129419,0.00066463964,0.0017331789,0.51688766,0.005575299,0.4504255,0.0031779958,0.00013000637],"about_ca_topic_score_codex":0.0008738256,"about_ca_topic_score_gemma":0.001304083,"teacher_disagreement_score":0.00901258,"about_ca_system_score_codex":0.00066352787,"about_ca_system_score_gemma":0.0005844329,"threshold_uncertainty_score":0.030150056},"labels":[],"label_agreement":null},{"id":"W1806649701","doi":"10.1016/j.jtbi.2015.10.009","title":"Individual-based models for adaptive diversification in high-dimensional phenotype spaces","year":2015,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Diversification (marketing strategy); Phenotype; Evolutionary biology; Biology; Computational biology; Genetics; Gene; Business","score_opus":0.023799429844905493,"score_gpt":0.27297759952638123,"score_spread":0.24917816968147574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1806649701","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2574041,0.0011700977,0.71946883,0.0035699038,0.00013212046,0.00004777758,0.00028163745,0.00025961525,0.017665809],"genre_scores_gemma":[0.9559166,0.00074873515,0.03265449,0.00031292817,0.00012579611,0.00013471508,0.00018075416,0.00011183834,0.009814205],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992324,0.00041857763,0.000032000244,0.000105141524,0.00010164441,0.00011021049],"domain_scores_gemma":[0.9957105,0.002959088,0.00037896232,0.0002786104,0.00025104833,0.0004217102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026714227,0.0008146523,0.0018934464,0.0014381442,0.0010347363,0.002735494,0.0037806556,0.0034473406,0.005044445],"category_scores_gemma":[0.009205934,0.00081042014,0.0019288751,0.0013484206,0.0035244985,0.003967558,0.0027010683,0.0028509058,0.0005031056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026866406,0.00002578774,0.0010506418,0.000041902604,0.00006953062,0.00011497504,0.00015523726,0.6868264,0.00035025147,0.30837202,0.0005817118,0.0023846533],"study_design_scores_gemma":[0.00001358059,0.000008640444,0.00020369924,0.0000046869127,0.000009811732,0.000031613872,0.000018371418,0.87994313,0.000021555274,0.119555034,0.0001796666,0.000010205273],"about_ca_topic_score_codex":0.005044653,"about_ca_topic_score_gemma":0.0037393724,"teacher_disagreement_score":0.005044653,"about_ca_system_score_codex":0.0020825644,"about_ca_system_score_gemma":0.00081881165,"threshold_uncertainty_score":0.016875327},"labels":[],"label_agreement":null},{"id":"W1829332217","doi":"10.1016/j.jtbi.2015.09.019","title":"Effect of walking speed on the gait of king penguins: An accelerometric approach","year":2015,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Society for Experimental Biology; Polar Knowledge Canada","keywords":"Accelerometer; Quadrupedalism; Treadmill; Kinematics; Trunk; Acceleration; Gait; Cadence; STRIDE; Preferred walking speed; Power walking; Physical medicine and rehabilitation; Amplitude; Energy expenditure; Mathematics; Simulation; Computer science; Biology; Physics; Anatomy; Physical therapy; Medicine; Ecology","score_opus":0.046955205422669885,"score_gpt":0.34281462774115956,"score_spread":0.29585942231848966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1829332217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99939036,0.000042761305,0.00028366555,0.000007857341,0.0000019639176,0.0000033472038,0.00012316648,0.0000034850518,0.00014342715],"genre_scores_gemma":[0.9995499,0.000032034233,0.00014049059,0.0000052626447,0.000002311602,0.0000063086845,0.00008499929,0.0000027921803,0.00017605173],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991536,0.000035742847,0.000006649012,0.000016921655,0.0000104608025,0.000014774117],"domain_scores_gemma":[0.9994941,0.0003029263,0.000066216984,0.00003565267,0.000045095167,0.00005609145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018542135,0.00022871724,0.00028558544,0.0005418055,0.00014399613,0.00024715345,0.00011906308,0.00027896746,0.0019138047],"category_scores_gemma":[0.0011308312,0.00021171207,0.00041743054,0.0003514971,0.00020055582,0.00012757718,0.00015732535,0.00019850135,0.00019903638],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010932763,0.00056664465,0.6663651,0.0002476988,0.0012251642,0.00068054383,0.00040452692,0.010926467,0.2708376,0.00019020846,0.00027131248,0.037352],"study_design_scores_gemma":[0.000015068528,0.0005556854,0.99519956,0.000002420322,0.000076378186,0.000066242115,0.00005786055,0.002592822,0.0013526988,0.000025955036,0.00004885007,0.00000638534],"about_ca_topic_score_codex":0.0056210654,"about_ca_topic_score_gemma":0.0048403563,"teacher_disagreement_score":0.0056210654,"about_ca_system_score_codex":0.0001425381,"about_ca_system_score_gemma":0.000096992684,"threshold_uncertainty_score":0.011176705},"labels":[],"label_agreement":null},{"id":"W1925728856","doi":"10.1016/j.jtbi.2015.09.026","title":"Modelling the impact of vaccination on curtailing Haemophilus influenzae serotype ‘a’","year":2015,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Pneumonia and Respiratory Infections","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Herd immunity; Vaccination; Immunity; Haemophilus influenzae; Immunology; Population; Pathogen; Transmission (telecommunications); Disease Eradication; Medicine; Virology; Biology; Environmental health; Disease; Immune system; Microbiology; Antibiotics; Computer science","score_opus":0.047756503030089124,"score_gpt":0.36587241692743994,"score_spread":0.31811591389735083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1925728856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9508526,0.00047500833,0.017903363,0.0032904705,0.00026994786,0.00006104474,0.00091592834,0.00010784561,0.026123762],"genre_scores_gemma":[0.99383175,0.0000954964,0.0011055007,0.00011223225,0.000021377024,0.000024303823,0.00013262281,0.000016589724,0.0046600075],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999607,0.00014871231,0.000010328569,0.00005458516,0.000024697541,0.00015466673],"domain_scores_gemma":[0.9954204,0.0037531334,0.00024560385,0.00007236437,0.00023622625,0.0002721687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009679833,0.0008698044,0.0010371157,0.0004866623,0.0004575891,0.0012114911,0.0016070633,0.00398185,0.009301278],"category_scores_gemma":[0.007335386,0.00070455094,0.0010874124,0.00044136905,0.0012928094,0.0012796061,0.00083950796,0.001914366,0.00043212285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005872876,0.00003947061,0.0006281487,0.000016464095,0.00001359311,0.00003797068,0.00001106863,0.99630606,0.0001841086,0.0019811557,0.0002473316,0.00047584952],"study_design_scores_gemma":[0.000043872507,0.00006409074,0.00049145566,0.000004145101,0.000014531488,0.000007311192,0.000029630977,0.9970489,0.00010406278,0.0020266313,0.00015812603,0.0000072294606],"about_ca_topic_score_codex":0.06341841,"about_ca_topic_score_gemma":0.02340376,"teacher_disagreement_score":0.06341841,"about_ca_system_score_codex":0.0018252062,"about_ca_system_score_gemma":0.00202337,"threshold_uncertainty_score":0.12609857},"labels":[],"label_agreement":null},{"id":"W1965004987","doi":"10.1016/j.jtbi.2004.08.001","title":"A simple cellular automaton model for influenza A viral infections","year":2004,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":187,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Mitacs","keywords":"Cellular automaton; Simple (philosophy); Biological system; Viral infection; Statistical physics; Ordinary differential equation; Homogeneous; Virology; Biology; Coronavirus disease 2019 (COVID-19); Computer science; Mathematics; Physics; Differential equation; Virus; Algorithm; Medicine; Mathematical analysis","score_opus":0.027351340772780296,"score_gpt":0.3380129695743657,"score_spread":0.31066162880158543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965004987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7490112,0.0014469828,0.21350068,0.005312282,0.0006461588,0.00019428832,0.0016592793,0.0005145078,0.02771461],"genre_scores_gemma":[0.98764056,0.00037178473,0.0051023727,0.00012957759,0.000077892495,0.00008047229,0.00015674045,0.000025811603,0.0064147767],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956375,0.00016079828,0.000026936725,0.0001006658,0.000062566,0.00008527221],"domain_scores_gemma":[0.9984566,0.00083411863,0.00019188826,0.00010630256,0.00021552738,0.0001955043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056778634,0.00068434223,0.001742214,0.00097075495,0.0012984737,0.0021032759,0.0018033775,0.002715742,0.004669418],"category_scores_gemma":[0.0029031013,0.00059226324,0.0011462125,0.0008160426,0.0014973141,0.0015402312,0.0012923453,0.00095797045,0.0005823047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002517851,0.00012828517,0.0037581346,0.00015772515,0.00013936569,0.0012900669,0.0005806918,0.748054,0.007398114,0.23081717,0.0024178482,0.005006874],"study_design_scores_gemma":[0.00005336564,0.00004289563,0.00038984107,0.000008003384,0.000035757304,0.00011009277,0.00005255562,0.964839,0.00013839314,0.03369991,0.00060356886,0.000026661795],"about_ca_topic_score_codex":0.014930807,"about_ca_topic_score_gemma":0.008509947,"teacher_disagreement_score":0.014930807,"about_ca_system_score_codex":0.0014450351,"about_ca_system_score_gemma":0.0014181844,"threshold_uncertainty_score":0.029687822},"labels":[],"label_agreement":null},{"id":"W1965576617","doi":"10.1016/j.jtbi.2012.07.024","title":"Richards model revisited: Validation by and application to infection dynamics","year":2012,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":182,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Outbreak; Basic reproduction number; Epidemic model; Meaning (existential); Mathematics; Function (biology); Computer science; Mathematical economics; Applied mathematics; Econometrics; Calculus (dental); Statistics; Biology; Demography; Epistemology; Philosophy","score_opus":0.011967498859319352,"score_gpt":0.31681221263779424,"score_spread":0.3048447137784749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965576617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56196684,0.0023804384,0.4163109,0.005744294,0.00039490967,0.00008812693,0.0005229905,0.0007758303,0.011815627],"genre_scores_gemma":[0.97358364,0.00069962494,0.02256629,0.000317132,0.00012867466,0.000041177045,0.00019657963,0.00018915301,0.002277712],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99803704,0.0012844651,0.00007227428,0.00028595803,0.00020787012,0.00011248605],"domain_scores_gemma":[0.9749145,0.019082261,0.001200304,0.0024992044,0.0017898914,0.0005138141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007734389,0.0007580525,0.0018318623,0.0014571804,0.0010982126,0.0024363548,0.0037755193,0.0025308945,0.0028663068],"category_scores_gemma":[0.05832669,0.00048828585,0.0014916486,0.0011126683,0.0017647545,0.0035602178,0.0020501981,0.0022989693,0.0005420408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049234094,0.00021575221,0.022494355,0.00032938248,0.0003808335,0.00090091676,0.0010353845,0.6454612,0.0040793014,0.278089,0.0076229307,0.038898695],"study_design_scores_gemma":[0.000037635786,0.000038719463,0.0011194967,0.000019385976,0.00006642271,0.0001329408,0.00008493981,0.94784623,0.00039692462,0.04950206,0.00072230527,0.000032936456],"about_ca_topic_score_codex":0.01372629,"about_ca_topic_score_gemma":0.004419511,"teacher_disagreement_score":0.01372629,"about_ca_system_score_codex":0.0012854738,"about_ca_system_score_gemma":0.0020267535,"threshold_uncertainty_score":0.040903866},"labels":[],"label_agreement":null},{"id":"W1967402314","doi":"10.1016/j.jtbi.2014.02.002","title":"Inclusive fitness maximization: An axiomatic approach","year":2014,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Vanderbilt University","keywords":"Inclusive fitness; Maximization; Axiom; Fitness function; Kin selection; Selection (genetic algorithm); Computer science; Mathematical economics; Social evolution; Utility maximization; Function (biology); Management science; Mathematical optimization; Mathematics; Artificial intelligence; Ecology; Economics; Evolutionary biology; Biology; Genetic algorithm","score_opus":0.010016115433862521,"score_gpt":0.30759608254696563,"score_spread":0.2975799671131031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967402314","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013643423,0.0010757826,0.86474717,0.009457538,0.00027817138,0.0000691952,0.0002226753,0.000081454535,0.11042466],"genre_scores_gemma":[0.6702089,0.0023099082,0.30563596,0.0020814436,0.0008112509,0.0005522366,0.00026173377,0.00007947533,0.018059067],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998409,0.00086567766,0.00009163792,0.00021684564,0.00032323005,0.00009365703],"domain_scores_gemma":[0.9968348,0.0021181463,0.00015251314,0.00035654742,0.0004396628,0.00009837152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00327999,0.0008212063,0.00087204674,0.0012568347,0.0014347853,0.0033398184,0.0027759522,0.002356783,0.0065853936],"category_scores_gemma":[0.00602335,0.000610126,0.0014410156,0.0015929018,0.005241862,0.0058729085,0.0031537514,0.0043296227,0.0008428732],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015467515,0.0000061606343,0.000037881106,0.000014255506,0.0000046370715,0.000012413886,0.000028020835,0.0010882607,0.000039661558,0.99701846,0.00039493106,0.0013538224],"study_design_scores_gemma":[0.00000424498,0.0000027226695,0.000037243717,0.000007689378,0.0000060388534,0.000032267093,0.000014766415,0.006332036,0.000022170081,0.9924077,0.001129983,0.000003204233],"about_ca_topic_score_codex":0.0009485951,"about_ca_topic_score_gemma":0.0011254986,"teacher_disagreement_score":0.0065853936,"about_ca_system_score_codex":0.0016602775,"about_ca_system_score_gemma":0.0014546599,"threshold_uncertainty_score":0.022030294},"labels":[],"label_agreement":null},{"id":"W1967781798","doi":"10.1006/jtbi.2000.2020","title":"Modeling Size-dependent Photosynthesis: Light Absorption and the Allometric Rule","year":2000,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":88,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Allometry; Photosynthesis; Scaling; Biological system; Phytoplankton; Cell size; Biology; Ecology; Botany; Nutrient; Mathematics","score_opus":0.005596973327043924,"score_gpt":0.19371855074593197,"score_spread":0.18812157741888805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967781798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6479273,0.0014205069,0.33685738,0.0021798406,0.00010756034,0.000021305104,0.00019999956,0.0002179649,0.011068127],"genre_scores_gemma":[0.9869251,0.0004520409,0.009855062,0.00010687691,0.000072258284,0.000025733447,0.00005043104,0.00009231668,0.0024202445],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99974054,0.00010366409,0.000010157217,0.0000668493,0.000035193592,0.000043689874],"domain_scores_gemma":[0.99833554,0.0011219647,0.0001960461,0.0001442324,0.000094130446,0.000108194785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010970561,0.0004922321,0.00072526315,0.00045406373,0.00046701523,0.0010936732,0.0020941733,0.002025207,0.00090175],"category_scores_gemma":[0.005223217,0.0005547981,0.0009556031,0.00074101775,0.0010900036,0.0027038583,0.0010972192,0.0012495808,0.00020059406],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023545435,0.00002825571,0.0019474291,0.000026109168,0.000029658331,0.000044125136,0.000046768568,0.9645045,0.0014790045,0.026898578,0.000333704,0.0046383003],"study_design_scores_gemma":[0.0000034627888,0.000003096827,0.00036439602,0.0000012368189,0.000004877971,0.000009366861,0.0000056100575,0.9867416,0.00008391649,0.012644119,0.000133445,0.0000048849315],"about_ca_topic_score_codex":0.009157538,"about_ca_topic_score_gemma":0.0048860107,"teacher_disagreement_score":0.009157538,"about_ca_system_score_codex":0.0012552053,"about_ca_system_score_gemma":0.0006509539,"threshold_uncertainty_score":0.018208444},"labels":[],"label_agreement":null},{"id":"W1967885456","doi":"10.1016/j.jtbi.2004.05.008","title":"Modeling genetic networks from clonal analysis","year":2004,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto; University of New Brunswick","funders":"National Center for Research Resources; National Institute on Aging; National Institutes of Health; Badan Riset dan Inovasi Nasional","keywords":"Mutual information; Binary number; Equivalence (formal languages); Computer science; Bayesian network; Perturbation (astronomy); Correlation; Mathematics; Theoretical computer science; Data mining; Algorithm; Artificial intelligence; Discrete mathematics; Physics","score_opus":0.005203434046949611,"score_gpt":0.2370746050497131,"score_spread":0.23187117100276347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967885456","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20957816,0.0003808131,0.7812389,0.00092105416,0.000052509746,0.00005149318,0.00010712887,0.00026638765,0.0074036387],"genre_scores_gemma":[0.9458006,0.0002989313,0.05053957,0.00011161866,0.00005814085,0.00010037152,0.000070534705,0.00009599363,0.0029242933],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967194,0.00019146263,0.000009572656,0.00004114144,0.000057495512,0.000028553313],"domain_scores_gemma":[0.99477947,0.004444961,0.00030576615,0.00014176226,0.00018861183,0.00013950629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013336386,0.0005547331,0.00062574673,0.0009778547,0.0005334477,0.0008894776,0.0012813275,0.0015266533,0.0018008933],"category_scores_gemma":[0.009454729,0.00054662285,0.00083966716,0.00081001676,0.0012664354,0.0015756636,0.0011627438,0.0011084989,0.00015702922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009997704,0.000012953064,0.0003191907,0.000011038096,0.000012574216,0.000037647227,0.000027609285,0.94723433,0.00044554964,0.04951619,0.0001398819,0.0022329753],"study_design_scores_gemma":[0.0000023745185,0.0000018459855,0.000027402639,8.1176313e-7,0.0000019284457,0.000004254142,0.000001908478,0.98202676,0.000045163975,0.01783288,0.000053397864,0.0000012497986],"about_ca_topic_score_codex":0.0066640433,"about_ca_topic_score_gemma":0.004985708,"teacher_disagreement_score":0.0066640433,"about_ca_system_score_codex":0.0013425229,"about_ca_system_score_gemma":0.0006399363,"threshold_uncertainty_score":0.01325047},"labels":[],"label_agreement":null},{"id":"W1968414492","doi":"10.1016/j.jtbi.2010.07.034","title":"Considerations for using integral feedback control to construct a perfectly adapting synthetic gene network","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":106,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Toronto","funders":"","keywords":"Synthetic biology; Gene regulatory network; Realization (probability); Computer science; Control theory (sociology); Adaptation (eye); Controller (irrigation); Construct (python library); Harmonic oscillator; Feedback control; Control (management); Control engineering; Topology (electrical circuits); Mathematics; Physics; Biology; Gene; Engineering; Computational biology; Genetics; Artificial intelligence; Computer network","score_opus":0.010231692237071566,"score_gpt":0.2642738300045511,"score_spread":0.2540421377674796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968414492","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03671435,0.00009220286,0.95468163,0.00084959687,0.000063803804,0.00006548195,0.000018195738,0.0004187695,0.0070960484],"genre_scores_gemma":[0.6987146,0.00013078003,0.29859027,0.00020761222,0.00003068153,0.00020186609,0.000029899682,0.0001680194,0.0019262168],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992489,0.00026659598,0.000036278503,0.00013902452,0.00024221253,0.000066886365],"domain_scores_gemma":[0.99672383,0.0020223104,0.00013401847,0.0007164792,0.00026631463,0.00013713267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027335705,0.0006383069,0.0005773927,0.00033829355,0.00064450415,0.0012559389,0.0015071335,0.0010542204,0.0029398731],"category_scores_gemma":[0.009387033,0.00036716525,0.00051720074,0.00027402403,0.0022546635,0.0026321644,0.0011515236,0.0015595239,0.00030934508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016927914,0.00011916898,0.00066307257,0.00009797049,0.00003188177,0.00013620016,0.00011321862,0.31104225,0.02417359,0.6356153,0.00048770825,0.027350295],"study_design_scores_gemma":[0.000055263157,0.00017130024,0.00017322016,0.000021631975,0.000021661866,0.00010168435,0.000038549337,0.7504145,0.014836025,0.23136488,0.0027736288,0.000027676057],"about_ca_topic_score_codex":0.0009950546,"about_ca_topic_score_gemma":0.0011195616,"teacher_disagreement_score":0.0029398731,"about_ca_system_score_codex":0.0011633354,"about_ca_system_score_gemma":0.00074475893,"threshold_uncertainty_score":0.014456689},"labels":[],"label_agreement":null},{"id":"W1968560499","doi":"10.1016/j.jtbi.2004.04.020","title":"Chromosomal speciation: a reply","year":2004,"lang":"en","type":"letter","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Biology; Meiosis; Genetics; Reproductive isolation; Chromosome; Sterility; Evolutionary biology; Genetic algorithm; Gene; Population","score_opus":0.005033480231996119,"score_gpt":0.24625874541047083,"score_spread":0.2412252651784747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968560499","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012705474,0.00065559964,0.00008639595,0.9882041,0.010437683,0.0000022817742,0.00000934682,0.000008827567,0.00046866303],"genre_scores_gemma":[0.00253952,0.00036787632,0.00010955393,0.9806707,0.014015289,0.000011131953,0.00000792829,0.000012718377,0.0022652694],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99668545,0.00096496206,0.0002923465,0.0007396529,0.00080993894,0.00050763483],"domain_scores_gemma":[0.9849207,0.009009129,0.00071850023,0.0008908854,0.0022666354,0.0021942474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065391446,0.0009293008,0.0018019695,0.0008889045,0.006296874,0.0053606313,0.0028952223,0.072583884,0.007127392],"category_scores_gemma":[0.032071162,0.001003188,0.0013612489,0.00081898295,0.0095774615,0.0071610864,0.0047963387,0.0669996,0.0048315534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003737978,0.000017069297,0.00031885886,0.000032546253,0.000022025151,0.00047972085,0.00026229888,0.00004698869,0.00014039889,0.0070660114,0.98737955,0.0041972226],"study_design_scores_gemma":[0.00024236167,0.000053569205,0.0012906148,0.0002723919,0.000072245464,0.0014067389,0.001585183,0.0003899773,0.00055406237,0.0614964,0.93252707,0.00010931724],"about_ca_topic_score_codex":0.0028097497,"about_ca_topic_score_gemma":0.003940038,"teacher_disagreement_score":0.072583884,"about_ca_system_score_codex":0.0037052492,"about_ca_system_score_gemma":0.0035768661,"threshold_uncertainty_score":0.034582734},"labels":[],"label_agreement":null},{"id":"W1968677039","doi":"10.1016/j.jtbi.2008.09.044","title":"Simulating the formation of keratin filament networks by a piecewise-deterministic Markov process","year":2008,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Skin and Cellular Biology Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft","keywords":"Protein filament; Biological system; Keratin; Computer science; Markov chain; Network formation; Biological network; Materials science; Biology; Bioinformatics","score_opus":0.009786160991995757,"score_gpt":0.28710867339944085,"score_spread":0.2773225124074451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968677039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86222386,0.00015347188,0.13041262,0.00084066024,0.000062453764,0.00005755075,0.00028491303,0.0003279645,0.0056364276],"genre_scores_gemma":[0.9902192,0.00008418558,0.0074634817,0.000039361228,0.000011453962,0.000038743303,0.000098218974,0.000022723378,0.0020226182],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997061,0.00008828846,0.000011443242,0.000052219362,0.00004645558,0.000095425814],"domain_scores_gemma":[0.9959584,0.0030087053,0.00029864232,0.00017587446,0.00015923231,0.00039922819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087346387,0.0004669039,0.00076630956,0.0007323844,0.0008213472,0.0011031412,0.0017437539,0.0021041357,0.00463591],"category_scores_gemma":[0.004238819,0.000842046,0.0010900788,0.00064828305,0.0016356029,0.001452311,0.0011563816,0.0013769652,0.00025778316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065083375,0.000020508418,0.00084967504,0.000011226364,0.000011210967,0.00007379501,0.000043975506,0.9909402,0.00044341065,0.007004965,0.00007185657,0.00046414338],"study_design_scores_gemma":[0.000022427566,0.0000096211525,0.00010169684,0.0000017225348,0.0000053234994,0.000007362547,0.000009820845,0.9979704,0.00010634081,0.0017251414,0.00003590466,0.0000042401734],"about_ca_topic_score_codex":0.027318347,"about_ca_topic_score_gemma":0.013432494,"teacher_disagreement_score":0.027318347,"about_ca_system_score_codex":0.0019188484,"about_ca_system_score_gemma":0.0014016851,"threshold_uncertainty_score":0.054318666},"labels":[],"label_agreement":null},{"id":"W1968741329","doi":"10.1016/j.jtbi.2014.05.012","title":"An isotope dilution model for partitioning phenylalanine and tyrosine uptake by the mammary gland of lactating dairy cows","year":2014,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Diet, Metabolism, and Disease","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Canada Research Chairs; European Commission; Department for Environment, Food and Rural Affairs, UK Government","keywords":"Phenylalanine; Tyrosine; Isotope dilution; Mammary gland; Amino acid; Chemistry; Internal medicine; Endocrinology; Biochemistry; Metabolism; Biology; Chromatography; Medicine; Mass spectrometry","score_opus":0.012696512038321364,"score_gpt":0.2873804202817083,"score_spread":0.27468390824338695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968741329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6234427,0.0024024304,0.35903046,0.002312791,0.00014113392,0.0001349261,0.000952707,0.00021508554,0.011367771],"genre_scores_gemma":[0.96763325,0.0010898191,0.017880661,0.00021431874,0.000038929822,0.00021691498,0.0004030797,0.000068299734,0.012454889],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985754,0.000049790768,0.000005958961,0.000040325063,0.000019045994,0.000027278667],"domain_scores_gemma":[0.99967563,0.00020392697,0.000032007112,0.000016120022,0.00004120194,0.000031034724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077606854,0.00065604417,0.0009478529,0.00036146803,0.0003903409,0.0010025601,0.0018026754,0.0017134047,0.0015806465],"category_scores_gemma":[0.0013309435,0.0005721377,0.0008948568,0.0005288379,0.00062592956,0.0009752213,0.00054663065,0.0006509232,0.00038567718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008462341,0.00013600622,0.00365418,0.00017729067,0.0001933783,0.00036353004,0.0001879266,0.8996951,0.043501638,0.04242991,0.0006290894,0.008185682],"study_design_scores_gemma":[0.00006588348,0.000053809366,0.0008777154,0.000005920439,0.000040320036,0.000042911208,0.000018622177,0.9927214,0.0011831694,0.0045152446,0.00045356495,0.000021412297],"about_ca_topic_score_codex":0.016388407,"about_ca_topic_score_gemma":0.005415808,"teacher_disagreement_score":0.016388407,"about_ca_system_score_codex":0.001361964,"about_ca_system_score_gemma":0.0008092896,"threshold_uncertainty_score":0.032586038},"labels":[],"label_agreement":null},{"id":"W1969333141","doi":"10.1016/j.jtbi.2012.11.032","title":"A modeling approach to energy savings of flying Canada geese using computational fluid dynamics","year":2012,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Biomimetic flight and propulsion mechanisms","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Flapping; Wing; Goose; Wake; Mechanics; Aerodynamics; Computational fluid dynamics; Aerospace engineering; Spiral (railway); Drag; Branta; Vortex; Physics; Engineering; Mechanical engineering; Biology; Ecology","score_opus":0.012139365808236548,"score_gpt":0.22192541120217468,"score_spread":0.20978604539393814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969333141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7057692,0.0012705843,0.24336816,0.002284903,0.00015516121,0.00015178908,0.0007431302,0.00019165479,0.04606546],"genre_scores_gemma":[0.98409283,0.0002960828,0.010375046,0.000077064986,0.000020853466,0.000059894195,0.0000932129,0.000036865134,0.0049479892],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999248,0.00001902676,0.0000027477176,0.000012363297,0.000020356085,0.000020698348],"domain_scores_gemma":[0.999826,0.000084852254,0.000017253698,0.000007834424,0.00004450553,0.000019633439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022463409,0.0005135723,0.0004693515,0.0005520365,0.0009867803,0.0010925474,0.0011382977,0.0010247641,0.0019462485],"category_scores_gemma":[0.0008701423,0.00037826016,0.0006226977,0.00060064084,0.00043377723,0.0006689554,0.00053325575,0.0005418778,0.000109959365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008396488,0.000010611514,0.0003655927,0.000006312299,0.000008344314,0.000022874576,0.000013105495,0.9954171,0.00025039676,0.0026696213,0.00010844335,0.0011191571],"study_design_scores_gemma":[0.0000021058534,0.000003889336,0.00010993806,0.0000014062967,0.000003619515,0.0000030335452,0.000011689121,0.9991836,0.00005995835,0.00047626795,0.00014215933,0.0000023077644],"about_ca_topic_score_codex":0.29551002,"about_ca_topic_score_gemma":0.20563257,"teacher_disagreement_score":0.29551002,"about_ca_system_score_codex":0.0020171509,"about_ca_system_score_gemma":0.0029987907,"threshold_uncertainty_score":0.58757997},"labels":[],"label_agreement":null},{"id":"W1969588976","doi":"10.1016/j.jtbi.2008.05.004","title":"A 3-D model used to explore how cell adhesion and stiffness affect cell sorting and movement in multicellular systems","year":2008,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dictyostelium discoideum; Multicellular organism; Cell sorting; Chemotaxis; Adhesion; Stiffness; Cell adhesion; Cell biology; Sorting; Cell; Extracellular matrix; Cell type; Dictyostelium; Biophysics; Biology; Biological system; Chemistry; Physics; Computer science; Receptor; Genetics","score_opus":0.0323843016126482,"score_gpt":0.271390198076578,"score_spread":0.23900589646392978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969588976","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37562522,0.0011958686,0.50903636,0.0038175886,0.0006211419,0.00037785422,0.0070663528,0.0018515962,0.100408055],"genre_scores_gemma":[0.92032564,0.0008502926,0.05775207,0.00031492498,0.000053033575,0.00051991374,0.001018333,0.00018897885,0.01897691],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998933,0.000026046757,0.000006579619,0.000024091172,0.000026764536,0.000023168985],"domain_scores_gemma":[0.9997278,0.0001253864,0.000031078343,0.000030810625,0.000043295204,0.00004167047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001322615,0.00067908625,0.00070266775,0.0005446388,0.0011638846,0.001121966,0.0012631334,0.0033332917,0.010313165],"category_scores_gemma":[0.0005583639,0.0006554761,0.0011684863,0.00074215484,0.0008581149,0.0006144895,0.000964924,0.0010004991,0.0012753784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033875745,0.000038634334,0.00042979346,0.00004797613,0.000020002877,0.00023841055,0.00006546175,0.9839954,0.0046864436,0.008416301,0.00051439053,0.0015133435],"study_design_scores_gemma":[0.000029905244,0.00002380564,0.0003435256,0.0000074716995,0.000011685291,0.000058036774,0.000021756901,0.9951443,0.0007591842,0.0019483677,0.0016323498,0.000019632098],"about_ca_topic_score_codex":0.023185287,"about_ca_topic_score_gemma":0.011224963,"teacher_disagreement_score":0.023185287,"about_ca_system_score_codex":0.00088387757,"about_ca_system_score_gemma":0.0010197258,"threshold_uncertainty_score":0.046100676},"labels":[],"label_agreement":null},{"id":"W1969622801","doi":"10.1016/j.jtbi.2012.03.001","title":"Do calcium fluxes within cortical bone affect osteocyte mechanosensitivity?","year":2012,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Osteocyte; Calcium; Bone canaliculus; Chemistry; Shear stress; Cortical bone; Bone cell; Calcium metabolism; Biophysics; Osteoblast; Materials science; Anatomy; Cell biology; Biochemistry; Biology; Composite material","score_opus":0.03359278220391591,"score_gpt":0.37352755388174913,"score_spread":0.3399347716778332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969622801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99117625,0.001225921,0.003961994,0.001341012,0.000077051656,0.000028201193,0.00014291432,0.00005028629,0.001996339],"genre_scores_gemma":[0.99864286,0.00044167734,0.00040261538,0.00015146143,0.000017827118,0.000009192468,0.00002741178,0.000012222161,0.0002947747],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999595,0.00008881106,0.000026107044,0.000073633135,0.000067190944,0.00014927563],"domain_scores_gemma":[0.99890316,0.00064701814,0.0001322693,0.00008831697,0.00012245656,0.0001068079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006874144,0.00038221976,0.000949783,0.00036798173,0.0005219959,0.0016685694,0.0009042339,0.0021860912,0.003196499],"category_scores_gemma":[0.0029481677,0.000655014,0.00044000102,0.0002943262,0.0011529531,0.0025443595,0.00061828544,0.00084981474,0.00046914796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017689213,0.00010781323,0.006080357,0.0002343423,0.00005893396,0.0005597335,0.00022735578,0.001162907,0.98140657,0.0021977734,0.00016892071,0.006026398],"study_design_scores_gemma":[0.0009330214,0.001500796,0.19876733,0.00007436733,0.00036280352,0.0025539466,0.004123935,0.02430003,0.74280167,0.020912848,0.003480626,0.00018864426],"about_ca_topic_score_codex":0.0016026496,"about_ca_topic_score_gemma":0.0016056027,"teacher_disagreement_score":0.003196499,"about_ca_system_score_codex":0.0005149311,"about_ca_system_score_gemma":0.00048039635,"threshold_uncertainty_score":0.010693371},"labels":[],"label_agreement":null},{"id":"W1969870671","doi":"10.1016/j.jtbi.2005.10.009","title":"Estimating conductances of dual-recorded neurons within a network of coupled cells","year":2005,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"University of Ottawa","keywords":"Conductance; Gap junction; Intracellular; Biological system; Electrophysiology; Coupling (piping); Dual (grammatical number); Postsynaptic potential; Biophysics; Computer science; Chemistry; Neuroscience; Physics; Biology; Materials science; Cell biology; Receptor","score_opus":0.01884831186450959,"score_gpt":0.2746905139548175,"score_spread":0.2558422020903079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969870671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8936356,0.00010919613,0.10553002,0.00009789397,0.000021712462,0.000017830826,0.00007393689,0.00010136051,0.00041243568],"genre_scores_gemma":[0.98435694,0.000032490618,0.015364779,0.000012657344,0.000007903131,0.0000075721146,0.000036299036,0.000010020187,0.00017132664],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996966,0.00006319436,0.000019777544,0.000118714845,0.000053202755,0.000048577396],"domain_scores_gemma":[0.9991246,0.00048163353,0.00009083191,0.000083555155,0.000114416864,0.00010492195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004906513,0.00052040984,0.000670494,0.00043558324,0.0002751487,0.00065748446,0.00093127205,0.0014655978,0.0005537009],"category_scores_gemma":[0.003852281,0.0005217944,0.00053743337,0.00032502375,0.0006679912,0.0012680269,0.0010690398,0.0008746331,0.00011624201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025779838,0.00033385123,0.04092052,0.00034909914,0.00045938662,0.001015613,0.00048409324,0.21482599,0.679507,0.0063427463,0.000279065,0.052904613],"study_design_scores_gemma":[0.000043788037,0.00015164315,0.008226478,0.000011397481,0.0000898581,0.00039060638,0.000064856504,0.9587421,0.028935716,0.00321059,0.00011025353,0.000022695887],"about_ca_topic_score_codex":0.0016945502,"about_ca_topic_score_gemma":0.0029031273,"teacher_disagreement_score":0.0016945502,"about_ca_system_score_codex":0.0005534263,"about_ca_system_score_gemma":0.0003225472,"threshold_uncertainty_score":0.0040154457},"labels":[],"label_agreement":null},{"id":"W1970107560","doi":"10.1016/j.jtbi.2013.10.007","title":"A bioinformatics approach to the determination of genes involved in endophytic behavior in Burkholderia spp.","year":2013,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Plant Pathogenic Bacteria Studies","field":"Agricultural and Biological Sciences","cited_by":147,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Higher Education Commission, Pakistan","keywords":"Biology; Burkholderia; Microbiology; Endophyte; Enterobacter; Enterobacter cloacae; Gene; Genome; Serratia; Bacteria; Plant use of endophytic fungi in defense; Botany; Pseudomonas; Genetics; Klebsiella pneumoniae; Escherichia coli","score_opus":0.021402446922667063,"score_gpt":0.23047846428321903,"score_spread":0.20907601736055195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970107560","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54196197,0.0026276163,0.4117807,0.0024684686,0.00017106305,0.0009767985,0.026480507,0.009287118,0.004245749],"genre_scores_gemma":[0.50839305,0.0007658283,0.45983684,0.00064793427,0.0000669998,0.0006609778,0.027591078,0.0003160146,0.0017213143],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99931896,0.00018705447,0.00006158057,0.00023534225,0.00012945978,0.00006757339],"domain_scores_gemma":[0.9990671,0.000510744,0.00009645702,0.000039212176,0.00018702928,0.000099522316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010312982,0.0007157599,0.000930469,0.0020854373,0.001159544,0.0013107699,0.00064932404,0.0005702594,0.001453332],"category_scores_gemma":[0.0018325121,0.00029520638,0.0017659335,0.0015775709,0.00038923504,0.00033565977,0.00069000013,0.0010740979,0.0007578113],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031814547,0.0021141963,0.06920051,0.002473557,0.0010912241,0.0019477184,0.0009858224,0.0711016,0.5353401,0.005740876,0.009587103,0.29723588],"study_design_scores_gemma":[0.000494779,0.0021043762,0.08885204,0.00019080211,0.0010233899,0.0016506242,0.0018001796,0.78027076,0.08429288,0.015987677,0.02319146,0.0001411526],"about_ca_topic_score_codex":0.0040610344,"about_ca_topic_score_gemma":0.007830854,"teacher_disagreement_score":0.0040610344,"about_ca_system_score_codex":0.0007020817,"about_ca_system_score_gemma":0.0022009884,"threshold_uncertainty_score":0.00807482},"labels":[],"label_agreement":null},{"id":"W1970813805","doi":"10.1016/j.jtbi.2010.10.017","title":"Neuraminidase inhibitors for treatment of human and avian strain influenza: A comparative modeling study","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neuraminidase; Titer; Virology; Virus; Influenza A virus subtype H5N1; Viral shedding; Viral load; Biology; Influenza A virus; Strain (injury); Immunology; Medicine; Internal medicine","score_opus":0.1393102423935986,"score_gpt":0.4705063558294376,"score_spread":0.331196113435839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970813805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9764488,0.0021470697,0.0107322885,0.0010180952,0.000032270716,0.00007495735,0.00059282634,0.00008586644,0.008867988],"genre_scores_gemma":[0.99434245,0.00096585846,0.0024584485,0.000108345186,0.00001712389,0.00007306544,0.00018280486,0.000021465352,0.0018304292],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977297,0.00014084461,0.0000086408545,0.000018919007,0.000023086423,0.000035410878],"domain_scores_gemma":[0.99622154,0.0033958966,0.00018759968,0.000030670428,0.00009873513,0.000065491426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010027852,0.00088778674,0.0017662159,0.00078240095,0.00046731334,0.0008662158,0.0015457482,0.001182856,0.0042764074],"category_scores_gemma":[0.0026201648,0.00053241145,0.0018983335,0.00072581664,0.00044524667,0.00067092606,0.00029796557,0.0008585553,0.00018514469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007717334,0.00025096387,0.0015662835,0.000089964895,0.00020941277,0.00012530059,0.000026525817,0.9913645,0.00053460815,0.0014166214,0.0003224515,0.0033216777],"study_design_scores_gemma":[0.00026953305,0.0007237019,0.0011885933,0.0000147143555,0.00027844828,0.00008255599,0.000060533966,0.9956067,0.00033244028,0.00111443,0.00030946647,0.000018823035],"about_ca_topic_score_codex":0.035881776,"about_ca_topic_score_gemma":0.019118907,"teacher_disagreement_score":0.035881776,"about_ca_system_score_codex":0.001658992,"about_ca_system_score_gemma":0.0013598042,"threshold_uncertainty_score":0.071345866},"labels":[],"label_agreement":null},{"id":"W1971778021","doi":"10.1016/j.jtbi.2004.04.021","title":"Quantitative and theoretical analyses of the relation between older brothers and homosexuality in men","year":2004,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":188,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Addiction and Mental Health","funders":"","keywords":"Birth order; Fetus; Placenta; Homosexuality; Sexual orientation; Immune system; Psychology; Demography; Developmental psychology; Pregnancy; Biology; Physiology; Immunology; Population; Social psychology; Genetics","score_opus":0.05923605677387922,"score_gpt":0.4554778774896241,"score_spread":0.3962418207157449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971778021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941855,0.00047140758,0.00071590627,0.0009868057,0.0000080000655,0.000012091333,0.00009045757,0.0000025827933,0.0035271158],"genre_scores_gemma":[0.9992943,0.00011961421,0.00021976327,0.000031373074,0.0000100608195,0.000008644141,0.000042094343,9.76327e-7,0.00027327478],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973568,0.0020331515,0.00006631034,0.00014728762,0.00019417173,0.0002023531],"domain_scores_gemma":[0.93534946,0.0578841,0.0037682413,0.00092746736,0.0009990245,0.001071641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052776625,0.000284372,0.00027443087,0.0020246299,0.0013624947,0.001528903,0.00094550644,0.00069394597,0.0110459495],"category_scores_gemma":[0.031046186,0.00031377075,0.00060487766,0.0017310814,0.002969499,0.0012527836,0.0011535013,0.0016150761,0.00016985118],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005010725,0.00086664053,0.8623219,0.00015161028,0.0002862192,0.0002995841,0.011127763,0.0019154629,0.0006146925,0.10219698,0.0005188294,0.0191993],"study_design_scores_gemma":[0.000052808216,0.0003307477,0.9229411,0.00010495549,0.00024398624,0.0004901293,0.034557648,0.0073484033,0.0005128068,0.03219427,0.0011978569,0.000025344712],"about_ca_topic_score_codex":0.013633155,"about_ca_topic_score_gemma":0.011888991,"teacher_disagreement_score":0.013633155,"about_ca_system_score_codex":0.0016282914,"about_ca_system_score_gemma":0.001661072,"threshold_uncertainty_score":0.036952436},"labels":[],"label_agreement":null},{"id":"W1971910701","doi":"10.1016/j.jtbi.2010.04.007","title":"Predicting the buoyancy, equilibrium and potential swimming ability of giraffes by computational analysis","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Tyrrell Museum","funders":"","keywords":"Buoyancy; Neutral buoyancy; Biology; Anatomy; Equus; Mechanics; Physics; Ecology; Fishery","score_opus":0.0026456734742496524,"score_gpt":0.22117504068545588,"score_spread":0.21852936721120622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971910701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889832,0.000025241117,0.010258036,0.0000708987,0.00000727989,0.0000048298134,0.00005173375,0.000055779525,0.000542965],"genre_scores_gemma":[0.9978807,0.000012346688,0.0018313861,0.000009493113,0.0000038926382,0.000005891182,0.000048778755,0.0000063132916,0.00020124203],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99996984,0.000009415231,0.0000019102517,0.0000068132035,0.000004460748,0.000007666284],"domain_scores_gemma":[0.9995473,0.00032482852,0.00003220028,0.000021295065,0.000037344435,0.00003708072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019883321,0.00026593372,0.00031887935,0.00032713552,0.00029452634,0.0004202642,0.00037434176,0.00051528384,0.0007025757],"category_scores_gemma":[0.001600149,0.00032321148,0.00031243407,0.00020198378,0.00040048256,0.000457368,0.00039883857,0.00027590423,0.00012245918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057689376,0.000022085185,0.015511103,0.000009759437,0.000019766883,0.00002766689,0.000025431676,0.9798305,0.0006862324,0.0004744722,0.00013884675,0.0031964064],"study_design_scores_gemma":[0.0000023747773,0.0000045387415,0.0016866332,5.066633e-7,0.0000019062264,0.0000031617935,0.0000054657266,0.99789315,0.000049659877,0.00033941044,0.000011407533,0.0000016999662],"about_ca_topic_score_codex":0.019662673,"about_ca_topic_score_gemma":0.01276472,"teacher_disagreement_score":0.019662673,"about_ca_system_score_codex":0.00031980305,"about_ca_system_score_gemma":0.0004639547,"threshold_uncertainty_score":0.039096475},"labels":[],"label_agreement":null},{"id":"W1972317298","doi":"10.1016/j.jtbi.2012.11.019","title":"A rational quantitative approach to determine the best dosing regimen for a target therapeutic effect: A unified formalism for antibiotic evaluation","year":2012,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Antibiotics Pharmacokinetics and Efficacy","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dosing; Formalism (music); Regimen; Antibiotics; Medicine; Intensive care medicine; Pharmacology; Applied mathematics; Mathematics; Internal medicine; Biology; Microbiology","score_opus":0.06302026408066567,"score_gpt":0.38993646696390194,"score_spread":0.32691620288323625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972317298","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021871366,0.00032713244,0.9898638,0.0011937979,0.00008588077,0.000059418304,0.00009554742,0.00007563767,0.006111537],"genre_scores_gemma":[0.32046455,0.001775673,0.66529006,0.0015283439,0.0005156643,0.00072466803,0.00022026408,0.0003330757,0.009147712],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979663,0.00085869356,0.00014557008,0.00021560302,0.00068250747,0.00013136394],"domain_scores_gemma":[0.99721426,0.0017300829,0.0002297593,0.00027478745,0.0004470755,0.00010401495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049859514,0.0015255306,0.0024853284,0.0014154265,0.0011497556,0.003844682,0.0032862597,0.0022220237,0.0044461247],"category_scores_gemma":[0.010674519,0.0011253807,0.0019444756,0.0010321116,0.0033168574,0.004857339,0.0018751374,0.003540358,0.00082427124],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021538384,0.000052754676,0.00016615985,0.00013629044,0.000054038795,0.00008342605,0.00009945798,0.23872343,0.002006177,0.74744076,0.0017275,0.009488519],"study_design_scores_gemma":[0.000017618813,0.000031047388,0.00006143398,0.00002915923,0.000025902647,0.000031427026,0.000020387488,0.58105266,0.0003733953,0.4164887,0.0018428428,0.000025398109],"about_ca_topic_score_codex":0.0036566518,"about_ca_topic_score_gemma":0.002723213,"teacher_disagreement_score":0.0049859514,"about_ca_system_score_codex":0.0030598757,"about_ca_system_score_gemma":0.0032528527,"threshold_uncertainty_score":0.026368558},"labels":[],"label_agreement":null},{"id":"W1972843792","doi":"10.1016/j.jtbi.2010.03.045","title":"Energetics of breath-hold hunting: Modeling the effects of aging on foraging success in the Weddell seal","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Energetics; Foraging; Seal (emblem); Ecology; Biology; Environmental science; Zoology; Geography","score_opus":0.008549317945810386,"score_gpt":0.25623937759556464,"score_spread":0.24769005964975427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972843792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983632,0.00012623933,0.0009740597,0.00011153455,0.000009246508,0.0000030660406,0.000093205985,0.0000053775602,0.0003139621],"genre_scores_gemma":[0.9988852,0.000081983424,0.00037328686,0.000023043673,0.00000862895,0.000009269775,0.000087842964,0.000007809038,0.0005229687],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999236,0.000024626208,0.0000041331436,0.00002006491,0.0000046267965,0.000022840817],"domain_scores_gemma":[0.99953055,0.00025116163,0.00005904787,0.00002575665,0.000034105688,0.000099396384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075347634,0.0005432169,0.00067224517,0.0002837862,0.0005515027,0.00074700004,0.0008948808,0.0012388823,0.001557536],"category_scores_gemma":[0.0016087114,0.00046199808,0.00090680027,0.00024216033,0.00062054,0.0007159809,0.0005630235,0.00051996263,0.0001829724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003632862,0.00017004367,0.064754404,0.00004368878,0.00016386723,0.00020179749,0.00018995955,0.9276628,0.0015733048,0.001579299,0.00044225718,0.0028552637],"study_design_scores_gemma":[0.000042849453,0.00022109438,0.045826133,0.000013964455,0.00012061102,0.00007191087,0.00022901421,0.95156664,0.0001832208,0.0014956064,0.00020073743,0.000028240442],"about_ca_topic_score_codex":0.03906114,"about_ca_topic_score_gemma":0.028343664,"teacher_disagreement_score":0.03906114,"about_ca_system_score_codex":0.00074693846,"about_ca_system_score_gemma":0.00063947844,"threshold_uncertainty_score":0.077667534},"labels":[],"label_agreement":null},{"id":"W1974182997","doi":"10.1016/j.jtbi.2005.09.017","title":"Spatial mosaic formation through frequency-dependent selection in Müllerian mimicry complexes","year":2005,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":81,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Innovation Trust","keywords":"Müllerian mimicry; Mimicry; Biological dispersal; Biology; Predation; Evolutionary biology; Frequency-dependent selection; Ecology; Selection (genetic algorithm); Biological system; Population","score_opus":0.015158915431896833,"score_gpt":0.30419498749395607,"score_spread":0.2890360720620592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974182997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9868722,0.000041347444,0.011359477,0.000047743677,0.0000052609153,0.000006779422,0.0000054557836,0.000026237485,0.0016355378],"genre_scores_gemma":[0.9987148,0.000009972864,0.0010021703,0.00000477352,0.0000014691412,0.000003666909,0.000003249203,0.0000041580142,0.00025573265],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971324,0.00009481824,0.000012137175,0.000062239924,0.000058055335,0.000059540373],"domain_scores_gemma":[0.997965,0.0009436965,0.00035337085,0.00025508407,0.00016048677,0.0003224525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005405183,0.00013932459,0.00035663744,0.00050522893,0.00053720135,0.0010048279,0.00057516043,0.0005013243,0.001001047],"category_scores_gemma":[0.003971232,0.0003421856,0.00025318246,0.00021771167,0.00077222503,0.0007390305,0.0008424244,0.00031520092,0.000115734016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006057683,0.00014485784,0.023770684,0.00013611277,0.00015562601,0.0011631205,0.0018924266,0.07868564,0.5328246,0.32621175,0.0008839942,0.033525445],"study_design_scores_gemma":[0.00013455581,0.0003194422,0.023546875,0.00001364702,0.00007302108,0.0013763385,0.0005515362,0.8199482,0.032866873,0.11982669,0.0012537376,0.000089114335],"about_ca_topic_score_codex":0.0007156896,"about_ca_topic_score_gemma":0.0007248455,"teacher_disagreement_score":0.0010048279,"about_ca_system_score_codex":0.00044024186,"about_ca_system_score_gemma":0.0003116579,"threshold_uncertainty_score":0.003348887},"labels":[],"label_agreement":null},{"id":"W1975154158","doi":"10.1016/j.jtbi.2005.06.020","title":"Modelling the evolution of genetic regulatory networks","year":2005,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Evolvability; Gene regulatory network; Degree distribution; Computer science; Network topology; Redundancy (engineering); Biological network; Gene; Complex network; Computational biology; Biology; Genetics; Gene expression","score_opus":0.005096151102467836,"score_gpt":0.22185937429158034,"score_spread":0.2167632231891125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975154158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6154607,0.0007103313,0.36372945,0.0024792834,0.00010232357,0.0000543039,0.00029127512,0.00027401646,0.016898278],"genre_scores_gemma":[0.9725716,0.00036641787,0.023827322,0.00006311646,0.000030066569,0.00006347586,0.00009174863,0.00005311164,0.0029332752],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995548,0.0002778421,0.000012421396,0.000060263235,0.000046964666,0.00004769142],"domain_scores_gemma":[0.9945589,0.004702531,0.00028573239,0.00014394353,0.00013316613,0.00017579657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012420464,0.00060814666,0.00070319197,0.0008856138,0.0006033318,0.0013701649,0.0014210525,0.0019039451,0.0026159713],"category_scores_gemma":[0.009481484,0.00064376596,0.00079484325,0.0009107661,0.0017404675,0.0018630045,0.0008117093,0.0013159197,0.00021333275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021234711,0.00001551616,0.0006512406,0.000015281914,0.0000135367145,0.000038483486,0.000038617567,0.95810765,0.00039150976,0.03904621,0.000116214724,0.0015444125],"study_design_scores_gemma":[0.00000805176,0.0000047662447,0.00008744369,0.0000019355007,0.000004871964,0.0000076447595,0.000008440209,0.9730771,0.00007329314,0.026567774,0.0001556909,0.0000029652033],"about_ca_topic_score_codex":0.008476699,"about_ca_topic_score_gemma":0.006922888,"teacher_disagreement_score":0.008476699,"about_ca_system_score_codex":0.0018631021,"about_ca_system_score_gemma":0.0010035196,"threshold_uncertainty_score":0.016854703},"labels":[],"label_agreement":null},{"id":"W1975252309","doi":"10.1016/j.jtbi.2013.05.035","title":"A comment on “Towards a rigorous framework for studying 2-player continuous games” by Shade T. Shutters, Journal of Theoretical Biology 321, 40–43, 2013","year":2013,"lang":"en","type":"letter","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mathematical economics; Theoretical physics; Computer science; Mathematics education; Physics; Mathematics","score_opus":0.01995192144487686,"score_gpt":0.31804681440627863,"score_spread":0.2980948929614018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975252309","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009986622,0.00050269027,0.00021981267,0.98771125,0.010718293,0.000007026449,0.000053912638,0.000025292116,0.0006618356],"genre_scores_gemma":[0.0011552816,0.0002278949,0.0001882732,0.9853403,0.011690708,0.00003120295,0.000012280771,0.000017026669,0.0013369439],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99042284,0.002612201,0.0010395633,0.0017529839,0.0030955935,0.001076819],"domain_scores_gemma":[0.95851105,0.031253744,0.001809156,0.0011495008,0.0052833785,0.0019931113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01248413,0.0016415641,0.0028331263,0.0009916424,0.0074021835,0.005130401,0.0064712386,0.09867134,0.0074635143],"category_scores_gemma":[0.07957891,0.0015807548,0.0029820167,0.0013997803,0.009512915,0.008357703,0.003684125,0.100712195,0.0077437484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028720191,0.000013770062,0.00011141593,0.000029577574,0.000009108376,0.0002091794,0.000091554866,0.000047435973,0.000056124678,0.0059514814,0.9917908,0.0016609486],"study_design_scores_gemma":[0.0003813487,0.0000955252,0.0014373474,0.00053491833,0.00007771538,0.00083424157,0.0005368225,0.0015819434,0.00063143455,0.08278598,0.91088414,0.00021853094],"about_ca_topic_score_codex":0.014602005,"about_ca_topic_score_gemma":0.01957623,"teacher_disagreement_score":0.09867134,"about_ca_system_score_codex":0.0067552454,"about_ca_system_score_gemma":0.0067671803,"threshold_uncertainty_score":0.06602317},"labels":[],"label_agreement":null},{"id":"W1975470944","doi":"10.1016/j.jtbi.2015.04.019","title":"The impact of environmental toxins on predator–prey dynamics","year":2015,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":73,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Canada Research Chairs","keywords":"Predation; Trophic level; Biology; Predator; Ecology; Trophic cascade; Population; Food web; Apex predator; Food chain; Abundance (ecology)","score_opus":0.02075368030785237,"score_gpt":0.3201815714158355,"score_spread":0.2994278911079831,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975470944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96029884,0.0010739825,0.016558882,0.0041441284,0.000103285114,0.000018655355,0.0001579847,0.000047981994,0.017596276],"genre_scores_gemma":[0.9975364,0.0004350188,0.00029468347,0.00012175883,0.000024495781,0.000002831296,0.000017758219,0.000005288059,0.0015618525],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917185,0.0003577035,0.000027008668,0.00006458573,0.00011296386,0.00026587286],"domain_scores_gemma":[0.9880112,0.009186683,0.0011739216,0.0003376979,0.00058957184,0.0007009793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020935086,0.0005348425,0.0007005662,0.0009255401,0.0007106849,0.0025071786,0.00064782356,0.001876941,0.005591158],"category_scores_gemma":[0.01894542,0.00031810053,0.0005694252,0.00050272257,0.0022750685,0.0023170013,0.0018167305,0.0013053643,0.00034189897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010374028,0.00076639367,0.09602038,0.00041240445,0.0004504964,0.003566399,0.0010600897,0.48956224,0.013382826,0.3424039,0.0038037288,0.047533706],"study_design_scores_gemma":[0.0001258234,0.0006612646,0.07499969,0.00008400427,0.00030412685,0.0012406204,0.0012210241,0.5037804,0.0023102246,0.41247946,0.0026867655,0.00010652567],"about_ca_topic_score_codex":0.0031208135,"about_ca_topic_score_gemma":0.0021782191,"teacher_disagreement_score":0.005591158,"about_ca_system_score_codex":0.0013701696,"about_ca_system_score_gemma":0.0008490988,"threshold_uncertainty_score":0.018704295},"labels":[],"label_agreement":null},{"id":"W1976325460","doi":"10.1006/jtbi.2002.3041","title":"Frequency-dependent Selection in Sexual Family-structured Populations","year":2002,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Stochastic game; Selection (genetic algorithm); Locus (genetics); Population; Evolutionarily stable strategy; Normal-form game; Allele; Matrix (chemical analysis); Biology; Mathematics; Mathematical economics; Mathematical optimization; Evolutionary biology; Genetics; Game theory; Computer science; Repeated game; Artificial intelligence; Gene; Demography","score_opus":0.03273985048684475,"score_gpt":0.31707388854679347,"score_spread":0.2843340380599487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976325460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931988,0.000051190127,0.005834177,0.00008199255,0.0000035312391,0.000004203825,0.000013336523,0.000011466383,0.0008012979],"genre_scores_gemma":[0.99906963,0.000031917745,0.00058339926,0.00001405397,0.000003815934,0.000003658468,0.000010084077,0.00000293305,0.00028054995],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99950707,0.00027187038,0.000017576514,0.00008438504,0.00004978276,0.000069236456],"domain_scores_gemma":[0.9902774,0.007308535,0.00087592826,0.0006362788,0.00045714687,0.0004448293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018266365,0.00014599379,0.0005472174,0.0008257838,0.00050380646,0.0009273695,0.00088492036,0.00076574966,0.0016477848],"category_scores_gemma":[0.013005057,0.00033855747,0.00031332564,0.00044927734,0.0011039302,0.00081776635,0.00056782906,0.0005134683,0.00013612652],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086931215,0.0006140501,0.32309034,0.00038549743,0.0011255422,0.0028908316,0.005212511,0.20732366,0.07109612,0.2913591,0.0032706591,0.09276238],"study_design_scores_gemma":[0.00015797355,0.00033087976,0.28815436,0.000025075387,0.0002596758,0.0023024275,0.0012473335,0.5185807,0.001815971,0.18628609,0.0007130759,0.0001264296],"about_ca_topic_score_codex":0.0012088779,"about_ca_topic_score_gemma":0.0019777901,"teacher_disagreement_score":0.0018266365,"about_ca_system_score_codex":0.0005177672,"about_ca_system_score_gemma":0.00025055007,"threshold_uncertainty_score":0.009660244},"labels":[],"label_agreement":null},{"id":"W1976581235","doi":"10.1016/j.jtbi.2014.04.035","title":"An in-silico study of the regulation of CHO cells glycolysis","year":2014,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Viral Infectious Diseases and Gene Expression in Insects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Glycolysis; Bioenergetics; Metabolic pathway; Pentose phosphate pathway; Anaerobic glycolysis; Biochemistry; Cell biology; Flux (metallurgy); Metabolism; Citric acid cycle; Biology; Chemistry; Biophysics; Mitochondrion","score_opus":0.004180171754049324,"score_gpt":0.2629262619320707,"score_spread":0.25874609017802136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976581235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9782007,0.00028970715,0.01562926,0.00017492175,0.000033613134,0.000023282053,0.0010428582,0.00034659193,0.004259114],"genre_scores_gemma":[0.99486583,0.000121680125,0.0038897295,0.000024253959,0.00000494125,0.000017256776,0.0005041592,0.000022285547,0.0005498051],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991333,0.000029900824,0.000004150936,0.000023453718,0.000013675738,0.0000154364],"domain_scores_gemma":[0.9996069,0.0003098736,0.000016180707,0.000016742028,0.000036883197,0.000013312934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002251281,0.00049201277,0.00063978264,0.00026220956,0.00031023347,0.00064447866,0.00054280675,0.00047965147,0.0026246493],"category_scores_gemma":[0.00054536137,0.00027832374,0.0009179097,0.00032237626,0.00017100936,0.0002613951,0.00016256086,0.00029877343,0.00027077278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065022125,0.00024547108,0.010143246,0.00037124462,0.00022484851,0.000281781,0.000058681024,0.9392508,0.04001571,0.0022902351,0.00043683336,0.006030951],"study_design_scores_gemma":[0.00004520527,0.00011070514,0.0023014466,0.0000036283557,0.00008891889,0.00003534673,0.000025181358,0.98677546,0.0096862195,0.0004403851,0.00047793184,0.000009589319],"about_ca_topic_score_codex":0.009521613,"about_ca_topic_score_gemma":0.0059181536,"teacher_disagreement_score":0.009521613,"about_ca_system_score_codex":0.0006453189,"about_ca_system_score_gemma":0.0008744706,"threshold_uncertainty_score":0.018932343},"labels":[],"label_agreement":null},{"id":"W1976983784","doi":"10.1016/j.jtbi.2014.03.003","title":"The relationship between ecology and the optimal helping strategy in cooperative breeders","year":2014,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Western University","funders":"","keywords":"Breeder (animal); Ecology; Scope (computer science); Reproduction; Population; Cooperative breeding; Value (mathematics); Biology; Computer science; Sociology; Political science; Demography","score_opus":0.011048709582186936,"score_gpt":0.2809866411845896,"score_spread":0.26993793160240265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976983784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969453,0.000096688906,0.0011447623,0.0002656518,0.0000023125285,0.0000013937309,0.0000067687215,0.000002444593,0.0015347396],"genre_scores_gemma":[0.99945086,0.00003556379,0.00029455888,0.000019248653,0.0000030522347,0.000001551371,0.0000036991967,0.0000014032951,0.000190072],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99978536,0.00011195963,0.000007506595,0.00003086178,0.00001895124,0.00004531903],"domain_scores_gemma":[0.99561834,0.0031146586,0.0005612725,0.000107051026,0.00023308578,0.00036565372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008235376,0.00013262294,0.00024661675,0.00047391752,0.0005048691,0.00093423505,0.00037111345,0.0008185999,0.0024057182],"category_scores_gemma":[0.006646387,0.0002631209,0.000116652736,0.0003051624,0.0010766997,0.000824743,0.00059356785,0.0005309135,0.00017657013],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008544901,0.0007017407,0.66683686,0.00028396575,0.0003871531,0.0014144136,0.0026019376,0.059850104,0.052522153,0.12985294,0.0018150382,0.082879215],"study_design_scores_gemma":[0.000110165085,0.00039655686,0.6890019,0.000033457953,0.0001193996,0.0015925551,0.002511929,0.12233931,0.002511129,0.18032242,0.0009838033,0.000077294826],"about_ca_topic_score_codex":0.0010975752,"about_ca_topic_score_gemma":0.0021402307,"teacher_disagreement_score":0.0024057182,"about_ca_system_score_codex":0.0004000613,"about_ca_system_score_gemma":0.00041955212,"threshold_uncertainty_score":0.008047998},"labels":[],"label_agreement":null},{"id":"W1977036681","doi":"10.1006/jtbi.2000.1098","title":"Evolutionarily Stable Strategy in a Sex- and Frequency-Dependent Selection Model","year":2000,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Allele; Biology; Evolutionarily stable strategy; Locus (genetics); Genetics; Frequency-dependent selection; Selection (genetic algorithm); Genotype; Allele frequency; Evolutionary biology; Mathematical economics; Mathematics; Game theory; Computer science; Gene","score_opus":0.0055325455354584534,"score_gpt":0.24882366703675612,"score_spread":0.24329112150129767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977036681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79437864,0.0005784164,0.16509168,0.0047388882,0.00012533121,0.00009042546,0.00041610387,0.00022434175,0.03435625],"genre_scores_gemma":[0.9788755,0.00026889835,0.0067217737,0.00026411493,0.00006826694,0.000057547088,0.00007157126,0.00003497965,0.013637266],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995615,0.00020419284,0.000015597328,0.000072753406,0.00005894679,0.00008695859],"domain_scores_gemma":[0.9981236,0.0009715263,0.0002680436,0.0001598743,0.00016970783,0.00030719832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011759917,0.0007076845,0.0015534653,0.00096268853,0.0009211439,0.0021084484,0.0023805844,0.0031672043,0.004731545],"category_scores_gemma":[0.0036738059,0.0004299038,0.00092116103,0.00068384316,0.001477309,0.0018525143,0.0012830531,0.0010827787,0.0008663966],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030623874,0.00021313502,0.0042281104,0.00013595133,0.00028182456,0.0014366056,0.0003492813,0.4076859,0.0080428915,0.56566805,0.0027149008,0.008937062],"study_design_scores_gemma":[0.00012836765,0.00007450863,0.0010905481,0.0000083347995,0.00005100321,0.00027892485,0.000051696188,0.9079059,0.000119343655,0.08983043,0.00042138633,0.00003957697],"about_ca_topic_score_codex":0.0032158345,"about_ca_topic_score_gemma":0.0019151343,"teacher_disagreement_score":0.004731545,"about_ca_system_score_codex":0.0011965955,"about_ca_system_score_gemma":0.0007582252,"threshold_uncertainty_score":0.01582855},"labels":[],"label_agreement":null},{"id":"W1978341501","doi":"10.1016/j.jtbi.2012.08.040","title":"The impact and interplay of long and short branches on phylogenetic information content","year":2012,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Allan Wilson Centre","keywords":"Phylogenetic tree; Tree (set theory); Sequence (biology); Taxon; Molecular clock; Divergence (linguistics); Biology; Evolutionary biology; Inference; Event (particle physics); Substitution (logic); Equivalence (formal languages); Simple (philosophy); Genetic algorithm; Paleontology; Combinatorics; Computer science; Mathematics; Artificial intelligence; Discrete mathematics; Physics; Genetics; Astrophysics","score_opus":0.017606621271173115,"score_gpt":0.2774292549145073,"score_spread":0.2598226336433342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978341501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9639585,0.0022700233,0.016921869,0.004047275,0.000089797686,0.000018109527,0.000549376,0.00016318203,0.011981952],"genre_scores_gemma":[0.99756753,0.00028367335,0.00135385,0.00012858857,0.00008912287,0.000007684054,0.00011082322,0.00008786801,0.00037089988],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99322456,0.0037128546,0.0004062433,0.0009824833,0.0010327983,0.0006410112],"domain_scores_gemma":[0.5456176,0.42728084,0.0075538964,0.0075166933,0.005747611,0.006283344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015321635,0.0004528983,0.0010116118,0.00364447,0.0017359342,0.0065811803,0.0011725198,0.0023712611,0.007830472],"category_scores_gemma":[0.17166172,0.00071613415,0.00073702674,0.0029518886,0.0045835027,0.010588773,0.0033109982,0.00303076,0.000981235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029562688,0.0004384942,0.5517342,0.00087731675,0.0013237187,0.0016636517,0.00467202,0.07151361,0.035205048,0.1448668,0.004697557,0.18005142],"study_design_scores_gemma":[0.00019909102,0.0006625206,0.33531603,0.00034791566,0.0013791408,0.0013355298,0.002781119,0.20378387,0.013748263,0.4363668,0.0037783126,0.00030141536],"about_ca_topic_score_codex":0.0013461373,"about_ca_topic_score_gemma":0.002058244,"teacher_disagreement_score":0.015321635,"about_ca_system_score_codex":0.0013411867,"about_ca_system_score_gemma":0.0009190575,"threshold_uncertainty_score":0.081029475},"labels":[],"label_agreement":null},{"id":"W1978422884","doi":"10.1016/j.jtbi.2005.02.018","title":"Lattice geometry, gap formation and scale invariance in forests","year":2005,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geometry; Scaling; Criticality; Scale invariance; Hexagonal lattice; Square lattice; Lattice (music); Universality (dynamical systems); Physics; Exponent; Statistical physics; Self-organized criticality; Mathematics; Condensed matter physics; Quantum mechanics","score_opus":0.02779654603075034,"score_gpt":0.23953881164660915,"score_spread":0.2117422656158588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978422884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8553766,0.0011123476,0.122694716,0.0015614016,0.00019730223,0.00003107917,0.00015944001,0.00022281132,0.018644337],"genre_scores_gemma":[0.9915671,0.00019364546,0.0062464173,0.00006226074,0.00008643182,0.000016211756,0.000055845416,0.000029297804,0.0017427587],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956936,0.000118160875,0.000020586556,0.000080610465,0.00008941488,0.000121915305],"domain_scores_gemma":[0.99656206,0.0016763045,0.00065843406,0.00034066796,0.00021310204,0.0005494551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010738735,0.00023346973,0.0008185796,0.0011373244,0.0012789981,0.0027871497,0.0011558754,0.0009929423,0.002634221],"category_scores_gemma":[0.004596638,0.00038965457,0.0005043905,0.0006043936,0.0032309361,0.0032511468,0.0014545685,0.0011801629,0.0002130577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087753,0.0000383585,0.0014463975,0.000040183917,0.000015034331,0.00008033928,0.00013956941,0.014463458,0.0021269582,0.9736848,0.0009303674,0.006946861],"study_design_scores_gemma":[0.00003423668,0.000014635705,0.00087399373,0.0000037061793,0.000004024938,0.0000768296,0.00007988275,0.029066876,0.0003396458,0.96908104,0.00041427513,0.000010794615],"about_ca_topic_score_codex":0.0017216401,"about_ca_topic_score_gemma":0.0011418832,"teacher_disagreement_score":0.0027871497,"about_ca_system_score_codex":0.00065756246,"about_ca_system_score_gemma":0.00058971276,"threshold_uncertainty_score":0.008812368},"labels":[],"label_agreement":null},{"id":"W1979063562","doi":"10.1016/j.jtbi.2010.02.043","title":"It takes grouping and cooperation to get sociality","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Sociality; Computer science; Biology; Communication; Psychology; Evolutionary biology","score_opus":0.013395415710454016,"score_gpt":0.33401706816340404,"score_spread":0.32062165245295005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979063562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4470739,0.0006348049,0.15962052,0.031367917,0.0011132115,0.00017781561,0.00010035992,0.00036987028,0.35954165],"genre_scores_gemma":[0.9783337,0.00011446728,0.009349821,0.0010503432,0.000088256194,0.000055990873,0.000026326517,0.000055533004,0.010925492],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998481,0.0006211085,0.000045797475,0.0002667658,0.00031363431,0.00027174855],"domain_scores_gemma":[0.9940499,0.0016891876,0.00062368717,0.0014327775,0.00061948155,0.0015850035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002144661,0.00037836566,0.00061001995,0.00050986896,0.0029649877,0.0029075479,0.0008143371,0.0022573823,0.009108346],"category_scores_gemma":[0.00853695,0.00028963544,0.0006805375,0.000413831,0.0065004686,0.004643816,0.0033609378,0.0024367638,0.0012499113],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000113099406,0.00017264095,0.0056743026,0.000144551,0.00014488402,0.0005008758,0.005314809,0.0040621525,0.0070052254,0.9270076,0.0054943673,0.04436547],"study_design_scores_gemma":[0.000030678184,0.000223766,0.0042259833,0.000044693614,0.00005476838,0.0003537505,0.002950613,0.0035165267,0.0007950027,0.9713722,0.016388332,0.00004372241],"about_ca_topic_score_codex":0.0010910648,"about_ca_topic_score_gemma":0.0011320998,"teacher_disagreement_score":0.009108346,"about_ca_system_score_codex":0.00082857365,"about_ca_system_score_gemma":0.0011952918,"threshold_uncertainty_score":0.03047043},"labels":[],"label_agreement":null},{"id":"W1979082792","doi":"10.1016/j.jtbi.2010.12.034","title":"Antagonistic control of microbial pathogens under iron limitations by siderophore producing bacteria in a chemostat setup","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Siderophore; Chemostat; Bacteria; Microbiology; Biology; Population; Probiotic; Microorganism","score_opus":0.006677201127890548,"score_gpt":0.23638611849080796,"score_spread":0.2297089173629174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979082792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981627,0.00006836275,0.0010074092,0.00007880408,0.000014849808,0.000008688705,0.00004665604,0.000016431035,0.00059615256],"genre_scores_gemma":[0.9980147,0.00007123059,0.0012651767,0.00002344527,0.000007451953,0.000011727626,0.000035195415,0.000006782098,0.0005643358],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978465,0.00004042616,0.000009560898,0.000051519295,0.00005324495,0.000060630504],"domain_scores_gemma":[0.9996456,0.000119955155,0.00006854173,0.00001777616,0.00002767736,0.000120453595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021403136,0.00042693087,0.00055137184,0.00028995372,0.00039125435,0.0007266894,0.0006065117,0.00048630967,0.001210521],"category_scores_gemma":[0.00034311402,0.00032952632,0.0002166713,0.00014490673,0.0005280743,0.00032287947,0.00083755,0.0005112179,0.0001455501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031619857,0.000057661626,0.00048008692,0.000033106826,0.000007164826,0.00007863256,0.00002013344,0.002292225,0.99565035,0.00058938784,0.000048778275,0.00042635642],"study_design_scores_gemma":[0.0006512912,0.0027804303,0.012729538,0.000021084736,0.000062365274,0.00039681804,0.00027679873,0.25842962,0.72167903,0.0017058436,0.0011685647,0.00009861679],"about_ca_topic_score_codex":0.0015532271,"about_ca_topic_score_gemma":0.0017446124,"teacher_disagreement_score":0.0015532271,"about_ca_system_score_codex":0.0004363841,"about_ca_system_score_gemma":0.0005572548,"threshold_uncertainty_score":0.0040495396},"labels":[],"label_agreement":null},{"id":"W1979241625","doi":"10.1016/j.jtbi.2014.05.003","title":"Unraveling the contribution of pancreatic beta-cell suicide in autoimmune type 1 diabetes","year":2014,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Natural Sciences and Engineering Research Council of Canada; University of Michigan","keywords":"Endoplasmic reticulum; Unfolded protein response; Beta cell; Cell biology; BETA (programming language); Apoptosis; Biology; Immunology; Insulin; Endocrinology; Islet; Biochemistry","score_opus":0.009327046470179753,"score_gpt":0.26126223298637846,"score_spread":0.25193518651619873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979241625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82128584,0.047146183,0.08387582,0.022714872,0.0014538532,0.000039923714,0.00006657726,0.00011359854,0.023303317],"genre_scores_gemma":[0.98391706,0.008183757,0.00495925,0.0006976453,0.00042813932,0.000017576609,0.000018893437,0.000016400021,0.001761382],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998301,0.000062181876,0.0000066743773,0.000023546296,0.00003608358,0.000041292733],"domain_scores_gemma":[0.99966824,0.00019407386,0.000031196843,0.000037601556,0.000030691397,0.00003807063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007965007,0.0003295471,0.0005612163,0.000277837,0.0003576516,0.0010991347,0.0007051183,0.0007534282,0.0014234362],"category_scores_gemma":[0.0010171778,0.00012967175,0.0003832125,0.00012453052,0.0017695348,0.0019742872,0.0010856179,0.0017595266,0.00017074395],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006837004,0.00038835406,0.00833909,0.0008948177,0.00012565171,0.0010523804,0.00095053844,0.0214581,0.09666971,0.7534579,0.0028983469,0.113081284],"study_design_scores_gemma":[0.00007502952,0.0003420757,0.002337292,0.00010914015,0.00006712961,0.0009839274,0.00076110987,0.07539574,0.013639469,0.8964553,0.0097960085,0.000037839964],"about_ca_topic_score_codex":0.00028194886,"about_ca_topic_score_gemma":0.00024820265,"teacher_disagreement_score":0.0014234362,"about_ca_system_score_codex":0.0004353128,"about_ca_system_score_gemma":0.0004967466,"threshold_uncertainty_score":0.0047619343},"labels":[],"label_agreement":null},{"id":"W1979528657","doi":"10.1016/j.jtbi.2014.05.010","title":"Dynamics and control of foot-and-mouth disease in endemic countries: A pair approximation model","year":2014,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Vaccination; Outbreak; Foot-and-mouth disease; Culling; Disease; Transmission (telecommunications); Immunity; Medicine; Immunology; Demography; Biology; Veterinary medicine; Virology; Immune system; Internal medicine","score_opus":0.009528465045462358,"score_gpt":0.23044471501271932,"score_spread":0.22091624996725695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979528657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82100797,0.0012775152,0.14922716,0.0042811893,0.00020083171,0.00012820736,0.0011042911,0.00022847722,0.022544324],"genre_scores_gemma":[0.97806007,0.0005191537,0.0034624925,0.00015313378,0.00006562564,0.00006694157,0.00021925822,0.000034593366,0.01741866],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989998,0.00047691588,0.000031062318,0.00016360599,0.000064391534,0.00026417],"domain_scores_gemma":[0.99649835,0.002114337,0.0005967038,0.00011509848,0.00023685671,0.0004386478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016261177,0.0012758669,0.0028656528,0.0011613629,0.0010419452,0.0027346641,0.003720853,0.0041102534,0.0073225563],"category_scores_gemma":[0.006944588,0.0009858068,0.0012422156,0.0012756347,0.0022739042,0.0032123849,0.0028624798,0.0022649555,0.0009309172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025991918,0.00024647833,0.007932862,0.00009329379,0.00018858413,0.0007114957,0.00036441727,0.92403656,0.0005444481,0.059233,0.0025415604,0.0038473643],"study_design_scores_gemma":[0.00008706297,0.00009147068,0.0010202322,0.000011458041,0.000051780098,0.00009490842,0.00015627427,0.98843914,0.0000381144,0.009658844,0.0003240988,0.000026634749],"about_ca_topic_score_codex":0.025607325,"about_ca_topic_score_gemma":0.008827052,"teacher_disagreement_score":0.025607325,"about_ca_system_score_codex":0.0015203651,"about_ca_system_score_gemma":0.00097357755,"threshold_uncertainty_score":0.050916553},"labels":[],"label_agreement":null},{"id":"W1979570488","doi":"10.1016/j.jtbi.2013.06.022","title":"Lateral cascade of indirect effects in food webs with different types of adaptive behavior","year":2013,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Office of International Science and Engineering; Natural Sciences and Engineering Research Council of Canada; Kennesaw State University; National Science Foundation","keywords":"Food web; Adaptive behavior; Biological system; Ecology; Trophic level; Biology; Psychology; Social psychology","score_opus":0.01712863057681552,"score_gpt":0.20920024568748666,"score_spread":0.19207161511067114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979570488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870107,0.00004460411,0.008915338,0.00005922173,0.0000067499795,0.000014015537,0.000031132393,0.000045694756,0.0038725568],"genre_scores_gemma":[0.99798125,0.000023299668,0.0010097537,0.000011066904,0.000006291562,0.000012951089,0.000020699494,0.0000068810796,0.0009277727],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983597,0.000039158796,0.000008559771,0.000036038706,0.00004158272,0.000038684317],"domain_scores_gemma":[0.99827266,0.0008764116,0.00023997424,0.00016151938,0.00017575687,0.00027366274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005302381,0.00021374118,0.0003169934,0.00070868636,0.00041538154,0.0007708339,0.00048705417,0.00050122803,0.0039764717],"category_scores_gemma":[0.0021522667,0.00028890016,0.00061209674,0.00020624562,0.0006403963,0.0009962906,0.0007599682,0.00042267528,0.00025221918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016419037,0.0008240635,0.19428755,0.00044208352,0.0008023778,0.0041189957,0.0022645514,0.11858237,0.24370013,0.3645578,0.0024446193,0.066333495],"study_design_scores_gemma":[0.00018951086,0.0004842621,0.34225067,0.000034499102,0.0003759791,0.0013118598,0.0008910996,0.49329448,0.007978119,0.1523534,0.00064834626,0.00018771643],"about_ca_topic_score_codex":0.000651569,"about_ca_topic_score_gemma":0.0010218789,"teacher_disagreement_score":0.0039764717,"about_ca_system_score_codex":0.00037833373,"about_ca_system_score_gemma":0.00020209706,"threshold_uncertainty_score":0.013302624},"labels":[],"label_agreement":null},{"id":"W1980262635","doi":"10.1016/j.jtbi.2004.10.002","title":"Forecasting spatially structured populations: the role of dispersal and scale","year":2004,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Conservation Association","keywords":"Biological dispersal; Population; Ecology; Spatial ecology; Scale (ratio); Biology; Geography; Cartography; Demography","score_opus":0.005209877819645219,"score_gpt":0.22056030934781468,"score_spread":0.21535043152816946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980262635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93414694,0.00041764142,0.063150406,0.0012100044,0.000035355253,0.000016406571,0.00022786623,0.00006826878,0.0007270783],"genre_scores_gemma":[0.99484164,0.00010879561,0.0047593764,0.000024449419,0.000021435735,0.000009290463,0.00008834205,0.0000071269687,0.00013962801],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997396,0.000113771,0.000020485742,0.00007974723,0.000023261611,0.000023135904],"domain_scores_gemma":[0.9883314,0.009574417,0.0010305495,0.00048281217,0.0002905476,0.0002903269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019739687,0.00031966862,0.0004748409,0.00077277527,0.000293588,0.000945596,0.00083377515,0.0013636898,0.00080910645],"category_scores_gemma":[0.019693486,0.000396571,0.0003403234,0.00062530703,0.0004958542,0.0028898185,0.00071108027,0.00076946634,0.000105686755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006123824,0.00003354868,0.075828575,0.000028877419,0.00007416868,0.00007396568,0.00009485994,0.9039937,0.0003531299,0.0039279154,0.0005585233,0.014971403],"study_design_scores_gemma":[0.000008467202,0.000011668315,0.0044420073,0.0000051508873,0.00000824883,0.000014267783,0.000035811026,0.99036646,0.000052357133,0.004982841,0.00006846525,0.0000043153336],"about_ca_topic_score_codex":0.0087243365,"about_ca_topic_score_gemma":0.010576235,"teacher_disagreement_score":0.0087243365,"about_ca_system_score_codex":0.0006737669,"about_ca_system_score_gemma":0.00036793895,"threshold_uncertainty_score":0.017347097},"labels":[],"label_agreement":null},{"id":"W1980306822","doi":"10.1016/j.jtbi.2011.06.010","title":"Evolutionary games in deme structured, finite populations","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":71,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Evolutionary dynamics; Pairwise comparison; Population; Prisoner's dilemma; Selection (genetic algorithm); Evolutionary game theory; Evolutionarily stable strategy; Simple (philosophy); Type (biology); Mutation; Limit (mathematics); Range (aeronautics); Evolutionary biology; Mathematical economics; Mathematics; Biology; Game theory; Computer science; Statistics; Ecology; Genetics; Demography; Artificial intelligence","score_opus":0.040806851684134754,"score_gpt":0.3195016127621439,"score_spread":0.27869476107800917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980306822","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38158345,0.00076439517,0.5870945,0.0036286928,0.00011888089,0.00016375659,0.00030405656,0.00013051668,0.02621181],"genre_scores_gemma":[0.96651757,0.00035076804,0.026128443,0.00020380566,0.000059028964,0.00015428473,0.000100584366,0.000019365403,0.0064662225],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99842024,0.0009528558,0.00007334837,0.0001893859,0.00018356419,0.00018062783],"domain_scores_gemma":[0.9900051,0.007907058,0.0007054935,0.00044656926,0.0003971941,0.0005385477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026504805,0.0005071205,0.0015983483,0.0008850553,0.00095748686,0.0026720988,0.0018403112,0.00239342,0.0028825635],"category_scores_gemma":[0.016325265,0.0006956142,0.00092709827,0.00071316573,0.0034788193,0.004077617,0.0018059252,0.0019351249,0.00024996884],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038240658,0.000037692407,0.00059981254,0.000049571066,0.00004728048,0.00020108494,0.00028684814,0.1235341,0.00051367277,0.8710788,0.00078251347,0.002830435],"study_design_scores_gemma":[0.00004898329,0.000025229976,0.00032117852,0.00001235177,0.000014176454,0.000070709095,0.00011866473,0.32545686,0.00008913219,0.67317045,0.00065735815,0.000014906967],"about_ca_topic_score_codex":0.0027957908,"about_ca_topic_score_gemma":0.0023740602,"teacher_disagreement_score":0.0028825635,"about_ca_system_score_codex":0.0016972028,"about_ca_system_score_gemma":0.0009696467,"threshold_uncertainty_score":0.014017284},"labels":[],"label_agreement":null},{"id":"W1980469407","doi":"10.1016/j.jtbi.2008.07.025","title":"Evolutionary game dynamics in a finite asymmetric two-deme population and emergence of cooperation","year":2008,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Population; Panmixia; Pairwise comparison; Evolutionarily stable strategy; Evolutionary dynamics; Biology; Selection (genetic algorithm); Mathematical economics; Evolutionary biology; Mathematics; Game theory; Computer science; Statistics; Genetic structure; Demography","score_opus":0.013514612677812054,"score_gpt":0.30023709783327557,"score_spread":0.2867224851554635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980469407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8743766,0.00020364653,0.100119516,0.0018846345,0.0000395559,0.00006721503,0.000114241775,0.000052238294,0.023142414],"genre_scores_gemma":[0.9914655,0.00007213319,0.0056617013,0.000057246056,0.000010669314,0.000032656662,0.00002252198,0.000007190114,0.0026704837],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994691,0.0002561289,0.000020948688,0.00008503944,0.00007309754,0.00009561843],"domain_scores_gemma":[0.99637944,0.0024108207,0.0003413271,0.00019714204,0.00024293999,0.00042838597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013872656,0.0003078088,0.0012238538,0.0006095849,0.0011782668,0.0020314385,0.0014195917,0.001972607,0.0041024494],"category_scores_gemma":[0.008282694,0.00040948763,0.0005823716,0.00043701037,0.0021669515,0.002673095,0.0015277927,0.0014275224,0.0002687415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014120348,0.00012468889,0.0038941689,0.0000779028,0.00007135522,0.0011852286,0.0011240654,0.15970033,0.004915811,0.8205046,0.0017441489,0.0065164454],"study_design_scores_gemma":[0.000091546535,0.00006762782,0.0018981867,0.000014769817,0.000023464412,0.0005102312,0.00046117534,0.73802847,0.0002627054,0.25773138,0.000871413,0.00003910674],"about_ca_topic_score_codex":0.0031475557,"about_ca_topic_score_gemma":0.001794916,"teacher_disagreement_score":0.0041024494,"about_ca_system_score_codex":0.0010833023,"about_ca_system_score_gemma":0.0007257617,"threshold_uncertainty_score":0.013724029},"labels":[],"label_agreement":null},{"id":"W1980780893","doi":"10.1016/j.jtbi.2010.02.045","title":"Prey persistence and abundance in systems with intraguild predation and type-2 functional responses","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Intraguild predation; Predation; Biology; Ecology; Abundance (ecology); Predator; Population; Functional response; Population cycle; Persistence (discontinuity)","score_opus":0.023022524769067628,"score_gpt":0.27980838819813697,"score_spread":0.25678586342906934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980780893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99847585,0.00003405589,0.0011668354,0.0000918545,0.0000024080628,0.0000028130376,0.000039279814,0.000007616142,0.00017937971],"genre_scores_gemma":[0.9996189,0.000011052879,0.00017568165,0.000009021707,0.0000037274856,0.0000039791194,0.000026251424,0.0000020477733,0.00014936594],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999433,0.00021464533,0.00003317089,0.00014222792,0.000029318415,0.00014768433],"domain_scores_gemma":[0.9889331,0.007458634,0.0016931109,0.00074946025,0.00041370638,0.00075203093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023516617,0.00044306598,0.00095165893,0.00069201353,0.00072501745,0.0016461209,0.00090481096,0.0014651736,0.002913196],"category_scores_gemma":[0.013309246,0.00056490273,0.000706337,0.00043088844,0.0016509199,0.001919399,0.0010742326,0.00075989426,0.00020932111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030133855,0.0006503154,0.7950534,0.00025853963,0.0010358237,0.002041457,0.0016738891,0.13940537,0.01331432,0.026379777,0.001182717,0.01599094],"study_design_scores_gemma":[0.00019649128,0.0005517873,0.36608827,0.000022820192,0.00031499617,0.0018462336,0.0017824444,0.57915294,0.001269428,0.048403554,0.00023360123,0.00013732407],"about_ca_topic_score_codex":0.0029861634,"about_ca_topic_score_gemma":0.0033289066,"teacher_disagreement_score":0.0029861634,"about_ca_system_score_codex":0.0009608622,"about_ca_system_score_gemma":0.00047218153,"threshold_uncertainty_score":0.012436926},"labels":[],"label_agreement":null},{"id":"W1981308766","doi":"10.1016/j.jtbi.2004.08.030","title":"Effect of an exponentially decaying threshold on the firing statistics of a stochastic integrate-and-fire neuron","year":2004,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"stochastic dynamics and bifurcation","field":"Physics and Astronomy","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Threshold limit value; Interval (graph theory); Statistics; Mathematics; Threshold model; Noise (video); Exponential growth; Exponential decay; Constant (computer programming); Statistical physics; Variance (accounting); White noise; Physics; Intensity (physics); Mathematical analysis; Quantum mechanics; Combinatorics; Computer science","score_opus":0.005732032118106922,"score_gpt":0.2640428238785281,"score_spread":0.2583107917604212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981308766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861157,0.000113247,0.011939444,0.00030132313,0.00007226509,0.000010375793,0.000059772323,0.00015681951,0.0012310402],"genre_scores_gemma":[0.9991093,0.000033880122,0.0006089461,0.00004560273,0.0000062600775,0.0000025027193,0.000021691114,0.000027432276,0.00014425062],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994862,0.00009470707,0.000053694603,0.000080613296,0.00011618802,0.0001685966],"domain_scores_gemma":[0.9842428,0.012328109,0.0007029012,0.0005712405,0.00085300265,0.0013018763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016815163,0.0003540139,0.0005564937,0.0004421466,0.00045279533,0.0009775516,0.000678536,0.0014017853,0.0016068913],"category_scores_gemma":[0.025011403,0.00038863719,0.00039001874,0.00026394,0.0008527881,0.0009577889,0.00085255207,0.0015154688,0.0001799434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007583957,0.0010254799,0.02570752,0.000351041,0.0002584931,0.0029381989,0.0006587825,0.21918091,0.69625187,0.015905581,0.0010183504,0.02911991],"study_design_scores_gemma":[0.00024407514,0.0012519079,0.02840758,0.000087560475,0.00036163037,0.0011025597,0.00021906733,0.8475775,0.11201712,0.008162024,0.0003896839,0.00017924365],"about_ca_topic_score_codex":0.0017249705,"about_ca_topic_score_gemma":0.0012181544,"teacher_disagreement_score":0.0017249705,"about_ca_system_score_codex":0.00080542674,"about_ca_system_score_gemma":0.00086482905,"threshold_uncertainty_score":0.008892834},"labels":[],"label_agreement":null},{"id":"W1982518990","doi":"10.1016/j.jtbi.2015.01.007","title":"The effect of bottom roughness on scalar transport in aquatic ecosystems: Implications for reproduction and recruitment in the benthos","year":2015,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Benthos; Reproduction; Ecosystem; Ecology; Scalar (mathematics); Environmental science; Top-down and bottom-up design; Biology; Oceanography; Benthic zone; Geology; Mathematics; Computer science; Geometry","score_opus":0.024957491433823507,"score_gpt":0.29956643335836874,"score_spread":0.2746089419245452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982518990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99874014,0.00011394661,0.0003937221,0.000099666,0.000009659061,0.0000030528872,0.000051237457,0.0000062658023,0.00058247347],"genre_scores_gemma":[0.99973375,0.000042101492,0.00007629043,0.000013412142,0.0000055878886,0.0000013002773,0.0000151608165,0.0000030084605,0.000109433575],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99958545,0.00017621522,0.000028413073,0.000059823702,0.000047280195,0.000102851816],"domain_scores_gemma":[0.9958556,0.0027509488,0.00033426384,0.00030356165,0.00030142834,0.00045413602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078081863,0.00032170294,0.00039197842,0.00059206435,0.0005467719,0.0013920466,0.000419877,0.0011620639,0.0024699487],"category_scores_gemma":[0.005066314,0.00035859266,0.00077990995,0.0003463921,0.0011467842,0.0009521963,0.0010532722,0.0006772401,0.00024050022],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026762115,0.00083961815,0.8208513,0.00035069187,0.00073913677,0.0011284514,0.00070716965,0.049696382,0.08625305,0.0024560734,0.0007653853,0.03353652],"study_design_scores_gemma":[0.000029749595,0.00036346941,0.9771502,0.000010131738,0.00011344838,0.00010853004,0.00031994446,0.020019514,0.00088266656,0.00086357084,0.0001058963,0.000032777967],"about_ca_topic_score_codex":0.008048039,"about_ca_topic_score_gemma":0.007590365,"teacher_disagreement_score":0.008048039,"about_ca_system_score_codex":0.0004989968,"about_ca_system_score_gemma":0.0004265125,"threshold_uncertainty_score":0.016002357},"labels":[],"label_agreement":null},{"id":"W1982781457","doi":"10.1016/j.jtbi.2011.06.019","title":"Holotestoid: A computational model for testing hypotheses about echinoid skeleton form and growth","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Marine Biology and Environmental Chemistry","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"RADIUS; Process (computing); Computer science; Geometry; Mathematics","score_opus":0.021474621209412223,"score_gpt":0.21410275797365047,"score_spread":0.19262813676423823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982781457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6932089,0.00023942528,0.28979513,0.0012250678,0.00011985103,0.000093504634,0.0027770337,0.0014779057,0.011063229],"genre_scores_gemma":[0.9243307,0.00008733085,0.0719587,0.00011834189,0.000022984104,0.00015232833,0.0009920199,0.00012271226,0.00221475],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990237,0.000034596087,0.0000059498416,0.000028212897,0.000016442662,0.0000123898135],"domain_scores_gemma":[0.99889237,0.0008611892,0.000055160643,0.00006922715,0.00005123901,0.00007095741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004780131,0.00045325875,0.0005572623,0.000371306,0.00056947104,0.00084480614,0.0018626038,0.0014008711,0.0056613144],"category_scores_gemma":[0.002959743,0.0003964206,0.00077635027,0.00030257218,0.000715214,0.0011216919,0.0009890355,0.0007372111,0.0003614696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001455235,0.00004365897,0.0025220362,0.000040280214,0.000035892896,0.00009228353,0.000044869153,0.9756925,0.00046492973,0.015878972,0.0007092869,0.0043297987],"study_design_scores_gemma":[0.000023618331,0.00000744538,0.00014560072,0.0000017977743,0.000006820657,0.0000086090295,0.00000617637,0.9953615,0.00010990926,0.0041272026,0.000198769,0.0000025516604],"about_ca_topic_score_codex":0.012968414,"about_ca_topic_score_gemma":0.014138402,"teacher_disagreement_score":0.012968414,"about_ca_system_score_codex":0.0008006007,"about_ca_system_score_gemma":0.0012222083,"threshold_uncertainty_score":0.025785863},"labels":[],"label_agreement":null},{"id":"W1983555709","doi":"10.1016/j.jtbi.2007.05.032","title":"One-hit stochastic decline in a mechanochemical model of cytoskeleton-induced neuron death II: Transition state metastability","year":2007,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neurodegeneration; Cytoskeleton; Programmed cell death; Neuron; Neuroscience; Biology; Cell biology; Population; Metastability; Cell; Biophysics; Chemistry; Apoptosis; Genetics; Medicine","score_opus":0.019397452929861326,"score_gpt":0.2884263665338206,"score_spread":0.26902891360395925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983555709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8783936,0.00050859747,0.10518088,0.0032334975,0.00011965726,0.00006662745,0.0003631681,0.00040193254,0.011731929],"genre_scores_gemma":[0.99407625,0.00013479921,0.0014743776,0.00011749472,0.00003617327,0.000036412435,0.00006928805,0.000037287595,0.004017965],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996339,0.00010691051,0.000014509139,0.000060957496,0.00006217459,0.00012147275],"domain_scores_gemma":[0.9972384,0.0014429645,0.00041084012,0.00013149704,0.00025737062,0.00051891786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014357973,0.00065100787,0.0020590217,0.0012669729,0.0011115103,0.0019906785,0.0021766205,0.0023500535,0.0033556023],"category_scores_gemma":[0.00487037,0.0005491768,0.0014199141,0.00067574304,0.002319975,0.0022741887,0.0016567862,0.0016320444,0.00022710876],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029884212,0.00019440948,0.0045860168,0.00017164029,0.00015386053,0.0013364927,0.000337376,0.47986716,0.008871795,0.4981829,0.0029291054,0.003070325],"study_design_scores_gemma":[0.000043254448,0.000042562246,0.00097346085,0.000007008296,0.000024772417,0.00011493462,0.00004905561,0.9362237,0.00020269887,0.062170874,0.00011614126,0.000031661777],"about_ca_topic_score_codex":0.007080447,"about_ca_topic_score_gemma":0.003938418,"teacher_disagreement_score":0.007080447,"about_ca_system_score_codex":0.0021602528,"about_ca_system_score_gemma":0.0012698753,"threshold_uncertainty_score":0.015673816},"labels":[],"label_agreement":null},{"id":"W1983952686","doi":"10.1016/j.jtbi.2009.09.019","title":"CSS, NIS and dynamic stability for two-species behavioral models with continuous trait spaces","year":2009,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Trait; Stability (learning theory); Convergence (economics); Monomorphism; Mathematics; Applied mathematics; Replicator equation; Control theory (sociology); Computer science; Pure mathematics; Artificial intelligence; Control (management); Demography; Economics","score_opus":0.010217714904453709,"score_gpt":0.279854372267743,"score_spread":0.2696366573632893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983952686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5060993,0.00071425183,0.47641015,0.0018234015,0.00008857921,0.00007372876,0.0003287757,0.00034163045,0.014120149],"genre_scores_gemma":[0.987563,0.00028273364,0.007538486,0.000059976912,0.00005309627,0.0000965308,0.00008820736,0.000047682875,0.004270356],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931407,0.00026916942,0.000034171706,0.00013481856,0.00011857134,0.0001291914],"domain_scores_gemma":[0.9919065,0.005576494,0.0009728394,0.0003756959,0.00051591016,0.00065254426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026681405,0.001123604,0.002024651,0.0016213084,0.0012255826,0.0021811954,0.0019720222,0.0016062205,0.003530162],"category_scores_gemma":[0.010256567,0.000584794,0.0015178943,0.0009758682,0.0037160763,0.0027490137,0.002130567,0.0015522357,0.00029834817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013148012,0.000050445025,0.0020479308,0.000067746485,0.00010859941,0.00013586362,0.00019656638,0.28443053,0.0019203792,0.7060583,0.0007075284,0.0041446937],"study_design_scores_gemma":[0.000022887616,0.000029048859,0.0006023623,0.000009201028,0.00002246467,0.00006297141,0.00005386035,0.7160889,0.00009927469,0.28274256,0.00023943494,0.000027055114],"about_ca_topic_score_codex":0.005697589,"about_ca_topic_score_gemma":0.0029564197,"teacher_disagreement_score":0.005697589,"about_ca_system_score_codex":0.0018839345,"about_ca_system_score_gemma":0.0014833807,"threshold_uncertainty_score":0.014110625},"labels":[],"label_agreement":null},{"id":"W1984934625","doi":"10.1016/j.jtbi.2006.01.001","title":"Resource holding potential, subjective resource value, and game theoretical models of aggressiveness signalling","year":2006,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":127,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Resource (disambiguation); Signalling; Value (mathematics); Computer science; Microeconomics; Economics; Computer network","score_opus":0.014927237491656958,"score_gpt":0.29895377762043324,"score_spread":0.28402654012877626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984934625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79180783,0.0009781413,0.15438516,0.0058566732,0.000085103355,0.00006035462,0.00018720052,0.000054547396,0.046584934],"genre_scores_gemma":[0.9950282,0.00014597745,0.0024610427,0.00008279849,0.000028311384,0.000022298795,0.000020814954,0.000006959076,0.002203655],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990313,0.0006543108,0.000022126509,0.00007371931,0.00009794073,0.000120607554],"domain_scores_gemma":[0.9895279,0.008623928,0.0007093575,0.00034907027,0.00033141975,0.00045835745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032257484,0.00061883166,0.00084494625,0.00086784334,0.0007904789,0.0043486124,0.0018109736,0.0022781065,0.0060107647],"category_scores_gemma":[0.012296835,0.00063177943,0.0005581612,0.00088028575,0.00258418,0.004062593,0.0011061566,0.0019793655,0.0003590346],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013255839,0.00014158661,0.0028775423,0.000052044004,0.000048955666,0.00014477113,0.0005345405,0.10453351,0.0009645714,0.88574606,0.0007404658,0.004083329],"study_design_scores_gemma":[0.00003705957,0.000039064988,0.0015587196,0.000011569282,0.000021899516,0.00006797006,0.00023093559,0.3836061,0.000060080405,0.6140678,0.00027100963,0.000027820734],"about_ca_topic_score_codex":0.0036604323,"about_ca_topic_score_gemma":0.003083704,"teacher_disagreement_score":0.0060107647,"about_ca_system_score_codex":0.0018957035,"about_ca_system_score_gemma":0.00071906886,"threshold_uncertainty_score":0.020108044},"labels":[],"label_agreement":null},{"id":"W1985081748","doi":"10.1016/j.jtbi.2005.01.010","title":"Architectural mutation and leaf form, for the palmate series","year":2005,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Plant Diversity and Evolution","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CARE Canada","funders":"","keywords":"Biology; Taxon; Clade; Botany; Evolutionary biology; Phylogenetics; Genetics; Gene","score_opus":0.01045664955214105,"score_gpt":0.21156913360620633,"score_spread":0.2011124840540653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985081748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99358636,0.00008726348,0.0035907233,0.00008095042,0.000007292767,0.0000028909144,0.000074077005,0.000026910962,0.00254343],"genre_scores_gemma":[0.99766386,0.00004512563,0.00091415405,0.00000579042,0.0000043224836,0.0000014438699,0.00004129823,0.000011633846,0.0013123575],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99992704,0.000014672169,0.000004852244,0.000025801415,0.000013557158,0.000014050265],"domain_scores_gemma":[0.99951136,0.00018193435,0.00011166794,0.00005842787,0.00005485625,0.000081799204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027515736,0.00020677528,0.00024368108,0.0005610551,0.00071586046,0.00082409725,0.0003104089,0.00023031341,0.004011055],"category_scores_gemma":[0.0016736167,0.000084953586,0.00023646271,0.00044459794,0.00080952025,0.0006592762,0.00041063965,0.00030864452,0.00022794437],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019396237,0.00017226128,0.18455288,0.000261345,0.00015053085,0.0019655507,0.0014143884,0.062354214,0.31992108,0.3207704,0.0015478813,0.10494985],"study_design_scores_gemma":[0.00016983402,0.0006465588,0.41452938,0.000032502914,0.00031325518,0.0071194055,0.0022204889,0.1774438,0.04746995,0.33860457,0.011244572,0.00020572449],"about_ca_topic_score_codex":0.0012307673,"about_ca_topic_score_gemma":0.0023703126,"teacher_disagreement_score":0.004011055,"about_ca_system_score_codex":0.0004922635,"about_ca_system_score_gemma":0.00024794744,"threshold_uncertainty_score":0.013418376},"labels":[],"label_agreement":null},{"id":"W1985607197","doi":"10.1016/j.jtbi.2009.07.005","title":"A model of sequential branching in hierarchical cell fate determination","year":2009,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Cell fate determination; Gene regulatory network; Cellular differentiation; Ode; Modular design; Computer science; Biology; Biological system; Mathematics; Applied mathematics; Genetics; Gene; Gene expression; Transcription factor","score_opus":0.008674432232334649,"score_gpt":0.2626497590494801,"score_spread":0.25397532681714546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985607197","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24671692,0.00040854962,0.72065043,0.0019011474,0.00006942982,0.0000528794,0.0003376005,0.00041605107,0.029446967],"genre_scores_gemma":[0.9331335,0.00031395222,0.053996783,0.00016202818,0.000045491513,0.00009299751,0.00013732558,0.00006521848,0.012052788],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997564,0.000084923086,0.000008468842,0.00005093221,0.000051688166,0.0000475943],"domain_scores_gemma":[0.9989114,0.0007323774,0.0000852755,0.000075878736,0.00008242404,0.00011270008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063089246,0.00040616014,0.0006784413,0.00063026533,0.00073144585,0.0011778151,0.0014114953,0.0014260814,0.0051018195],"category_scores_gemma":[0.0022838393,0.00042153796,0.00078596396,0.00082990906,0.0011563804,0.0014769975,0.0007864232,0.0010083368,0.00045124892],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086145126,0.00003917351,0.00054984516,0.00004639599,0.00001956927,0.00017766161,0.00011550953,0.41793093,0.0038801683,0.5701627,0.00093542517,0.0060564387],"study_design_scores_gemma":[0.000024449766,0.00001141875,0.00013358219,0.0000034404097,0.0000075169687,0.00003716582,0.000012205679,0.8103338,0.0002540489,0.18881762,0.00035686913,0.000007940297],"about_ca_topic_score_codex":0.0051522614,"about_ca_topic_score_gemma":0.0035612718,"teacher_disagreement_score":0.0051522614,"about_ca_system_score_codex":0.0013340781,"about_ca_system_score_gemma":0.0010395715,"threshold_uncertainty_score":0.017067313},"labels":[],"label_agreement":null},{"id":"W1986472186","doi":"10.1016/j.jtbi.2008.11.008","title":"Critical slowing down as an indicator of transitions in two-species models","year":2008,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Santa Fe Institute; National Science Foundation","keywords":"Predation; Alternative stable state; Hopf bifurcation; Predator; Statistical physics; Competition (biology); Ecology; Bifurcation; Ecosystem; Physics; Environmental science; Mathematics; Biology; Nonlinear system","score_opus":0.009525871568772912,"score_gpt":0.27248646142625427,"score_spread":0.26296058985748133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986472186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9593323,0.00026009543,0.037247293,0.0005007651,0.000048624835,0.00002890192,0.000111678055,0.0002533998,0.0022168567],"genre_scores_gemma":[0.9984516,0.000042016713,0.0013014701,0.000016305878,0.000009827567,0.000015062836,0.00003926901,0.0000150233545,0.00010939082],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999236,0.00035177963,0.00003901512,0.00011884213,0.000078049925,0.00017635315],"domain_scores_gemma":[0.9674058,0.022088367,0.004113635,0.0026815725,0.0007748458,0.0029357946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050730985,0.0006620551,0.0011073289,0.0028673466,0.0012691747,0.0017666884,0.0012517023,0.0014745783,0.0021672947],"category_scores_gemma":[0.030890651,0.00042652735,0.0007598461,0.0008536641,0.0030094148,0.0032289082,0.0028060526,0.0030763377,0.00010254197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012282351,0.00027996252,0.05224282,0.00027055285,0.00030862854,0.00076184265,0.0014080158,0.72380203,0.009567763,0.19611491,0.0023075277,0.011707742],"study_design_scores_gemma":[0.000042300595,0.00017695194,0.008234384,0.0000296249,0.00005529094,0.00012852943,0.00017600691,0.89390993,0.0013236562,0.09555341,0.00031753237,0.000052350162],"about_ca_topic_score_codex":0.0022252284,"about_ca_topic_score_gemma":0.0008718021,"teacher_disagreement_score":0.0050730985,"about_ca_system_score_codex":0.0014508015,"about_ca_system_score_gemma":0.00066262676,"threshold_uncertainty_score":0.026829422},"labels":[],"label_agreement":null},{"id":"W1986710032","doi":"10.1016/j.jtbi.2013.04.024","title":"Cortical geometry may influence placement of interface between Par protein domains in early Caenorhabditis elegans embryos","year":2013,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Ohio State University","keywords":"Caenorhabditis elegans; Geometry; Domain (mathematical analysis); Cell polarity; Interface (matter); Cell division; Biological system; Biology; Physics; Computer science; Cell; Mathematics; Mathematical analysis; Genetics; Mechanics","score_opus":0.005299687894357666,"score_gpt":0.24609084378480228,"score_spread":0.2407911558904446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986710032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927228,0.00006009344,0.0050229323,0.00006936404,0.00001292188,0.0000035509795,0.00005058469,0.00006523143,0.0019924939],"genre_scores_gemma":[0.99849117,0.000044663157,0.00089117675,0.000013017531,0.0000023953282,0.0000040834716,0.00003543185,0.000026003436,0.00049203914],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985707,0.000017179233,0.0000068039944,0.000030821484,0.000043265838,0.000044908975],"domain_scores_gemma":[0.99955326,0.000103890794,0.000099210556,0.000036473375,0.00007551796,0.00013155589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013911749,0.00030187948,0.00026283207,0.0002760863,0.0006190313,0.0013066708,0.0005652453,0.0004405317,0.0027145685],"category_scores_gemma":[0.0009832474,0.00054108014,0.00018640787,0.00012420783,0.0004733769,0.00064824073,0.00075169024,0.00065114663,0.0006711071],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001940878,0.000032757594,0.0034768071,0.000034999477,0.0000082930865,0.00036936492,0.000078241814,0.003947691,0.98449486,0.0035713634,0.00020289059,0.0035886697],"study_design_scores_gemma":[0.0001495404,0.0003206963,0.15839143,0.000030932184,0.0000658408,0.00092159136,0.00092974777,0.1156185,0.71523124,0.0053786384,0.0028429858,0.00011886501],"about_ca_topic_score_codex":0.0018658112,"about_ca_topic_score_gemma":0.0042248117,"teacher_disagreement_score":0.0027145685,"about_ca_system_score_codex":0.00060678256,"about_ca_system_score_gemma":0.00050315424,"threshold_uncertainty_score":0.009081185},"labels":[],"label_agreement":null},{"id":"W1987109029","doi":"10.1016/j.jtbi.2011.01.020","title":"Molecular distributions in gene regulatory dynamics","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Komitet Badań Naukowych","keywords":"Bursting; Statistical physics; Stationary distribution; Stochastic dynamics; Noise (video); Stochastic modelling; Context (archaeology); Stochastic process; Dimensionless quantity; Stationary state; Biological system; Mathematics; Computer science; Physics; Biology; Statistics; Mechanics; Artificial intelligence","score_opus":0.005989977224988442,"score_gpt":0.2294081427101428,"score_spread":0.22341816548515434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987109029","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31257468,0.00079310214,0.66710764,0.0030994772,0.00008214002,0.000045605153,0.00014980375,0.0003154926,0.015832053],"genre_scores_gemma":[0.96804005,0.00070538186,0.02654257,0.00012996532,0.00012662144,0.000108846805,0.00006177766,0.0001038066,0.0041809157],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994875,0.00024272273,0.000014440895,0.00010031485,0.00010446893,0.00005046534],"domain_scores_gemma":[0.9923394,0.006438332,0.0002959649,0.00029948022,0.00033239057,0.00029441292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020751592,0.00041185593,0.00069277437,0.0016852234,0.0006660069,0.0015385564,0.0014761251,0.00086688704,0.004931277],"category_scores_gemma":[0.013444372,0.0006579809,0.00046320478,0.0011001754,0.0024043645,0.0046296804,0.0012549716,0.0014999735,0.00034220325],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029075212,0.000025913996,0.0007189585,0.000033411023,0.000009680786,0.000038352606,0.00009233599,0.060469326,0.0014803334,0.9311508,0.00036186585,0.0055899494],"study_design_scores_gemma":[0.00001555089,0.000010270377,0.0006157239,0.00000913522,0.000007888838,0.00004768303,0.000037524725,0.4753871,0.0006199616,0.5225597,0.0006797452,0.000009726264],"about_ca_topic_score_codex":0.0011220622,"about_ca_topic_score_gemma":0.000740198,"teacher_disagreement_score":0.004931277,"about_ca_system_score_codex":0.0016800618,"about_ca_system_score_gemma":0.0004984812,"threshold_uncertainty_score":0.016496718},"labels":[],"label_agreement":null},{"id":"W1988261552","doi":"10.1016/s0022-5193(03)00265-0","title":"Equilibrium competition binding assay: inhibition mechanism from a single dose response","year":2003,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's Health Research Institute","funders":"","keywords":"Mechanism (biology); Competition (biology); Chemistry; Biophysics; Biology; Physics; Ecology","score_opus":0.011340706623628271,"score_gpt":0.24837579998875017,"score_spread":0.2370350933651219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988261552","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23268981,0.0032313974,0.721543,0.0017100204,0.0013686465,0.0039917366,0.0026378462,0.006191081,0.026636492],"genre_scores_gemma":[0.5591893,0.0021657806,0.38033983,0.002785172,0.00039705713,0.0062907324,0.006412267,0.0014482323,0.040971734],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98054415,0.006130367,0.0009812114,0.004484978,0.005545151,0.0023141687],"domain_scores_gemma":[0.988289,0.0056772903,0.00054967357,0.0024043561,0.0023791539,0.0007004753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009566241,0.005263433,0.006166753,0.002967763,0.0021825451,0.0018824072,0.011327032,0.005285286,0.009120034],"category_scores_gemma":[0.008535731,0.0038685035,0.0027442141,0.0027992295,0.0020806973,0.0023362648,0.002152105,0.008805739,0.006668385],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028180906,0.0025921194,0.0013013079,0.0009722204,0.0003780622,0.0001757678,0.00033613815,0.0019920939,0.9588594,0.00720414,0.0038268962,0.019543871],"study_design_scores_gemma":[0.0004435498,0.0020410668,0.0051532625,0.000075112395,0.00037400256,0.0006807615,0.00008666608,0.04761498,0.9338187,0.0029792374,0.0064006695,0.0003320302],"about_ca_topic_score_codex":0.0060583376,"about_ca_topic_score_gemma":0.008015163,"teacher_disagreement_score":0.011327032,"about_ca_system_score_codex":0.004482346,"about_ca_system_score_gemma":0.0039679916,"threshold_uncertainty_score":0.050591767},"labels":[],"label_agreement":null},{"id":"W1988735523","doi":"10.1006/jtbi.2002.3052","title":"Skeletal Biology, Functional Asymmetry and the Origins of “Handedness”","year":2002,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Hemispheric Asymmetry in Neuroscience","field":"Neuroscience","cited_by":69,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Argument (complex analysis); Extant taxon; Laterality; Lateralization of brain function; Hand preference; Evolutionary biology; Asymmetry; Biology; Preference; Realm; Human evolution; Psychology; Cognitive psychology; Neuroscience; Geography; Archaeology","score_opus":0.0250832531272472,"score_gpt":0.27483452008191545,"score_spread":0.24975126695466826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988735523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76210994,0.006833932,0.09266764,0.008169732,0.0005546024,0.000024706005,0.00020519352,0.00023010014,0.12920417],"genre_scores_gemma":[0.99439174,0.00046540235,0.0025844076,0.00016753918,0.000093069066,0.000006296512,0.000029910856,0.000011567393,0.0022500958],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998323,0.0000437981,0.000009465131,0.00003237471,0.000041482872,0.000040638486],"domain_scores_gemma":[0.9996051,0.00012787605,0.000070172,0.00007843647,0.00006156772,0.00005676381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047767715,0.0002631081,0.00027495885,0.00042414828,0.00049604656,0.0007434598,0.00039858453,0.00067216833,0.0038859881],"category_scores_gemma":[0.0013952798,0.00012734371,0.00022842476,0.00022253132,0.0027832321,0.0011182043,0.0005087856,0.00059840694,0.00040463576],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014954671,0.000015532767,0.004433203,0.00008093896,0.000019231986,0.0008069325,0.00043171312,0.0018101868,0.080493405,0.8488935,0.0011244997,0.061741345],"study_design_scores_gemma":[0.00004845382,0.000114271876,0.02813597,0.000031697793,0.000027207776,0.0028893573,0.00028312625,0.006112178,0.011774931,0.9397635,0.010776849,0.00004245616],"about_ca_topic_score_codex":0.0006199462,"about_ca_topic_score_gemma":0.00055083394,"teacher_disagreement_score":0.0038859881,"about_ca_system_score_codex":0.0003670069,"about_ca_system_score_gemma":0.00029839,"threshold_uncertainty_score":0.012999892},"labels":[],"label_agreement":null},{"id":"W1988987428","doi":"10.1016/j.jtbi.2013.01.014","title":"Mathematical modelling of glioma growth: The use of Diffusion Tensor Imaging (DTI) data to predict the anisotropic pathways of cancer invasion","year":2013,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":159,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Diffusion MRI; Anisotropy; Fractional anisotropy; White matter; Biological system; Spheroid; Neuroscience; Tensor (intrinsic definition); Glioma; Computer science; Biology; Physics; Statistical physics; Mathematics; Magnetic resonance imaging; Optics; Geometry; Medicine; Radiology","score_opus":0.13464212577417367,"score_gpt":0.3146246590683219,"score_spread":0.1799825332941482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988987428","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34225467,0.0016268791,0.64814675,0.002800677,0.00008687349,0.00006500662,0.00042650788,0.0003085327,0.0042841244],"genre_scores_gemma":[0.96996886,0.0010746757,0.027075123,0.000063040665,0.000040599378,0.000044029963,0.00011553406,0.00005848792,0.0015595969],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992085,0.000030268753,0.000006319114,0.000015529424,0.00001757695,0.000009565393],"domain_scores_gemma":[0.9992386,0.0003951925,0.00018832869,0.00004021805,0.00008460433,0.000053072337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045472776,0.00064984686,0.00040021582,0.0006405578,0.0002616796,0.0012431081,0.0006036783,0.0010983747,0.00038905215],"category_scores_gemma":[0.0029657434,0.00040521938,0.00047814273,0.00045009024,0.00065903965,0.0009745734,0.0004193282,0.0007770856,0.00013098671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002566242,0.000013043948,0.0012254522,0.00003196168,0.000013449206,0.00005520462,0.000025124173,0.9844481,0.0035190545,0.0069796233,0.0002219063,0.003441436],"study_design_scores_gemma":[0.0000015792016,0.000005022149,0.0001446441,0.0000018079166,0.0000023407988,0.000018402416,0.0000022958257,0.9977081,0.00031959888,0.0017031477,0.000088849076,0.0000041573103],"about_ca_topic_score_codex":0.01088795,"about_ca_topic_score_gemma":0.00637489,"teacher_disagreement_score":0.01088795,"about_ca_system_score_codex":0.0007826236,"about_ca_system_score_gemma":0.0009223726,"threshold_uncertainty_score":0.021649122},"labels":[],"label_agreement":null},{"id":"W1990347422","doi":"10.1016/j.jtbi.2014.02.040","title":"Evaluation of the SF6 tracer technique for estimating methane emission rates with reference to dairy cows using a mechanistic model","year":2014,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Rumen; Hindgut; TRACER; Methane; Animal science; Ruminant; Chemistry; Volumetric flow rate; Exhalation; Soil science; Environmental science; Biology; Agronomy; Ecology; Biochemistry; Thermodynamics; Physics; Pasture","score_opus":0.05078640606636232,"score_gpt":0.3481253776492475,"score_spread":0.2973389715828852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990347422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8354904,0.00033245378,0.16239318,0.00009382755,0.000017402444,0.000054883683,0.00025105628,0.00034149236,0.0010252077],"genre_scores_gemma":[0.9563415,0.00018724182,0.04290516,0.000011485472,0.0000036894069,0.000029092977,0.00013846088,0.000028123677,0.00035521563],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968314,0.000120185134,0.000015839561,0.0000705818,0.0000873228,0.000022922712],"domain_scores_gemma":[0.9990441,0.000628191,0.00007122788,0.00007001013,0.00017084889,0.000015576803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018479747,0.00056214357,0.00058398105,0.00037753928,0.00038856547,0.00053673866,0.0009563878,0.001150728,0.0003332133],"category_scores_gemma":[0.0024869188,0.0003493127,0.0005210305,0.00043779286,0.00023172353,0.0005863246,0.0004023968,0.00039319627,0.000105336716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026045048,0.00046142403,0.033663522,0.00042909238,0.00025376858,0.00028142793,0.00031534446,0.3914191,0.4739266,0.002376883,0.00017881092,0.09408944],"study_design_scores_gemma":[0.000067590765,0.00069209444,0.008347914,0.000013758244,0.00009371206,0.00007176675,0.000061071434,0.84673595,0.14294069,0.00028306205,0.0006535393,0.000038878607],"about_ca_topic_score_codex":0.014612387,"about_ca_topic_score_gemma":0.00828356,"teacher_disagreement_score":0.014612387,"about_ca_system_score_codex":0.00058089563,"about_ca_system_score_gemma":0.0008400892,"threshold_uncertainty_score":0.029054642},"labels":[],"label_agreement":null},{"id":"W1990537896","doi":"10.1016/j.jtbi.2014.03.014","title":"Ordering dynamics in collectively swimming Surf Scoters","year":2014,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Polarization (electrochemistry); Statistical physics; Propulsion; Computer science; Biological system; Perturbation (astronomy); Physics; Biology; Chemistry","score_opus":0.005942084648341201,"score_gpt":0.23673275232836988,"score_spread":0.23079066768002868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990537896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9800229,0.000077604076,0.01122817,0.00034937888,0.000025776695,0.00001159311,0.00007296592,0.00005704615,0.00815454],"genre_scores_gemma":[0.99257374,0.000066670014,0.0014214739,0.000031854037,0.000010108109,0.000010910257,0.00006920602,0.000020828858,0.005795298],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.999918,0.00001260696,0.0000033089318,0.000017891549,0.000014399234,0.000033712662],"domain_scores_gemma":[0.99934477,0.00016432656,0.00012758355,0.00004132188,0.00006808779,0.0002538764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020086029,0.00020813418,0.00054970576,0.00084394886,0.0012703617,0.0013478615,0.00068453886,0.0009974755,0.0064547895],"category_scores_gemma":[0.0016863998,0.00032882995,0.00037716626,0.000495048,0.0012854408,0.0010754962,0.0013257741,0.00055982964,0.00051883084],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006610658,0.0002191197,0.039523415,0.00015547585,0.00011829073,0.0018998029,0.0033843515,0.5175064,0.02700066,0.37359378,0.0070729502,0.028864654],"study_design_scores_gemma":[0.00006550491,0.00016082679,0.0147857815,0.000027640433,0.00003016197,0.00016029057,0.0019096369,0.8320939,0.00081889686,0.14781098,0.0020807276,0.000055712604],"about_ca_topic_score_codex":0.019996282,"about_ca_topic_score_gemma":0.016925612,"teacher_disagreement_score":0.019996282,"about_ca_system_score_codex":0.0007449967,"about_ca_system_score_gemma":0.0005857437,"threshold_uncertainty_score":0.039759815},"labels":[],"label_agreement":null},{"id":"W1991070630","doi":"10.1016/j.jtbi.2013.07.031","title":"Allee threshold and stochasticity in biological invasions: Colonization time at low propagule pressure","year":2013,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Allee effect; Propagule pressure; Propagule; Colonization; Population; Immigration; Biology; Ecology; Biological dispersal; Geography; Demography","score_opus":0.01731555915954836,"score_gpt":0.2356817318980819,"score_spread":0.21836617273853354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991070630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948468,0.00007120039,0.00437299,0.00012565994,0.0000032535163,0.0000021092378,0.000013802616,0.000022466696,0.0005416858],"genre_scores_gemma":[0.9996449,0.000012318826,0.00023261548,0.0000085080965,0.000003798193,0.0000017212931,0.000006569696,0.000004585355,0.00008500338],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996197,0.00014558963,0.000024698516,0.0000845552,0.000040704195,0.00008470127],"domain_scores_gemma":[0.9724194,0.022399068,0.0021722876,0.0009957715,0.00045178866,0.0015617524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029134704,0.00015495888,0.00044311624,0.0009996226,0.0004204227,0.0015399298,0.0006157688,0.0011974747,0.0021028747],"category_scores_gemma":[0.021786084,0.00035474854,0.0003441876,0.00040235306,0.0016920704,0.0017912434,0.0009831298,0.0013641462,0.0001390382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025492918,0.0011086839,0.53882843,0.0002927418,0.00046052708,0.001140351,0.0034652106,0.122677885,0.08761371,0.18916751,0.0016083813,0.0510873],"study_design_scores_gemma":[0.00013591956,0.00039435955,0.5051395,0.000033355853,0.00020250794,0.0010741815,0.0011641154,0.3456904,0.0037364052,0.14192697,0.00034965752,0.00015247912],"about_ca_topic_score_codex":0.0011575657,"about_ca_topic_score_gemma":0.0012823885,"teacher_disagreement_score":0.0029134704,"about_ca_system_score_codex":0.0004864028,"about_ca_system_score_gemma":0.00033409346,"threshold_uncertainty_score":0.015408099},"labels":[],"label_agreement":null},{"id":"W1992242147","doi":"10.1006/jtbi.2001.2348","title":"Describing the Pumping Heart as a Pressure Source","year":2001,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Elasticity and Material Modeling","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Ventricle; Human heart; Cardiology; Internal medicine; Afterload; Elastance; Mechanics; Medicine; Physics; Respiratory system","score_opus":0.020628241945395094,"score_gpt":0.23172576450358975,"score_spread":0.21109752255819467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992242147","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047545638,0.0020234997,0.88509256,0.0052985423,0.0010148771,0.00010514351,0.00040727606,0.00050864037,0.058003902],"genre_scores_gemma":[0.80162346,0.0037951253,0.12453482,0.0013192765,0.0011679668,0.00027159328,0.00026284243,0.0004767847,0.06654816],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998337,0.000054556895,0.000011741116,0.00003227765,0.000044999888,0.00002264049],"domain_scores_gemma":[0.9997228,0.00012578856,0.000028221444,0.000036060406,0.000045928482,0.000041220548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049181934,0.0006681806,0.0007414925,0.00074303267,0.00077940914,0.0018909753,0.002115029,0.0037863692,0.0064131822],"category_scores_gemma":[0.0010787094,0.00081303035,0.000991495,0.00075965753,0.002007839,0.00219445,0.0017855784,0.0016352899,0.0011628036],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005174495,0.00005073676,0.00054866186,0.00016033485,0.00004225798,0.0007498804,0.0003432831,0.4785734,0.009002183,0.49821717,0.0028985736,0.009361833],"study_design_scores_gemma":[0.000027695838,0.000022142474,0.0001614927,0.000014694679,0.000023856026,0.00018587131,0.00005240781,0.8936586,0.0004902776,0.1011104,0.004228971,0.000023702092],"about_ca_topic_score_codex":0.0022195354,"about_ca_topic_score_gemma":0.0012739095,"teacher_disagreement_score":0.0064131822,"about_ca_system_score_codex":0.00042593677,"about_ca_system_score_gemma":0.00073469925,"threshold_uncertainty_score":0.021454275},"labels":[],"label_agreement":null},{"id":"W1992306248","doi":"10.1006/jtbi.2000.2234","title":"Complementarity of Ecological Goal Functions","year":2001,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Sustainability and Ecological Systems Analysis","field":"Environmental Science","cited_by":257,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Maximum power principle; Maxima and minima; Maximum flow problem; Complementarity (molecular biology); Computer science; Dissipation; Synergetics (Haken); Emergy; Ecology; Mathematical optimization; Exergy; Mathematics; Environmental science; Physics; Biology; Sustainable development; Thermodynamics","score_opus":0.010800634847573185,"score_gpt":0.2598648769347385,"score_spread":0.2490642420871653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992306248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3809346,0.0009215574,0.34915733,0.0027206242,0.00008485968,0.00012547514,0.00036728726,0.0002758836,0.2654123],"genre_scores_gemma":[0.9858686,0.00013073867,0.009356929,0.0001173756,0.000024117408,0.00005808425,0.00008789434,0.000038028695,0.004318207],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99583423,0.0017621347,0.00014623065,0.00061978505,0.0008557476,0.00078177516],"domain_scores_gemma":[0.9857685,0.010004276,0.0008777397,0.0013272853,0.0013034404,0.00071882864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032980791,0.000742117,0.001429497,0.0022143712,0.0012610218,0.004297704,0.0011446521,0.0020537914,0.0120281],"category_scores_gemma":[0.02327265,0.0010009912,0.0014878213,0.0015981292,0.0024994193,0.0052608773,0.0037540477,0.0022026508,0.0008448344],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015011324,0.000088146764,0.0039428137,0.0001108412,0.00010957798,0.00016536946,0.00061149633,0.011138052,0.0017221348,0.9525869,0.0013472661,0.02802742],"study_design_scores_gemma":[0.00002856954,0.00005398787,0.0041625802,0.00003092588,0.00008370861,0.00020025574,0.00040513638,0.026999203,0.0005459203,0.9653696,0.0021025436,0.00001760753],"about_ca_topic_score_codex":0.0023254072,"about_ca_topic_score_gemma":0.0027182435,"teacher_disagreement_score":0.0120281,"about_ca_system_score_codex":0.0018100266,"about_ca_system_score_gemma":0.0013712771,"threshold_uncertainty_score":0.040238023},"labels":[],"label_agreement":null},{"id":"W1992438887","doi":"10.1016/j.jtbi.2013.12.028","title":"Revising ecological assumptions about Human papillomavirus interactions and type replacement","year":2014,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Guelph","funders":"Canadian Institutes of Health Research","keywords":"Biology; Ecology; Independence (probability theory); Facilitation; Fallacy; Competition (biology); Vaccination; Type (biology); Evolutionary biology; Immunology; Virology; Neuroscience; Epistemology; Mathematics","score_opus":0.036878719990515806,"score_gpt":0.4148294482730771,"score_spread":0.3779507282825613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992438887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5600218,0.0011153315,0.25406477,0.03201897,0.00034137024,0.00009418556,0.00052832585,0.00013379754,0.15168141],"genre_scores_gemma":[0.989773,0.00025598405,0.006341415,0.0006468706,0.00010752656,0.000029586645,0.000054786793,0.00002600533,0.0027648942],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965687,0.0021292125,0.00010800557,0.00039391711,0.00043558137,0.00036449794],"domain_scores_gemma":[0.96325046,0.030621031,0.0017466854,0.0025370677,0.0011038438,0.000740991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008884954,0.00042315037,0.0008972085,0.0010404612,0.0015830623,0.002690506,0.0028469665,0.0021651047,0.012686272],"category_scores_gemma":[0.043551173,0.0005989878,0.00093693746,0.0011180579,0.0046821134,0.0072562625,0.002507892,0.002778702,0.0005053125],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055035707,0.00004771609,0.004748032,0.000052906278,0.000032066244,0.00015484124,0.00086336536,0.012285083,0.000101802085,0.9744635,0.00089644425,0.0062990924],"study_design_scores_gemma":[0.0000139551785,0.00001681243,0.0011609991,0.0000139629,0.000014277454,0.00011340218,0.0005389941,0.026062287,0.00004954184,0.9707402,0.001267508,0.000007978113],"about_ca_topic_score_codex":0.005485254,"about_ca_topic_score_gemma":0.0043553337,"teacher_disagreement_score":0.012686272,"about_ca_system_score_codex":0.0018576088,"about_ca_system_score_gemma":0.0013307319,"threshold_uncertainty_score":0.046988666},"labels":[],"label_agreement":null},{"id":"W1993006785","doi":"10.1016/j.jtbi.2011.07.014","title":"Hamilton's rule in multi-level selection models","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Term (time); Population; Selection (genetic algorithm); Inclusive fitness; Evolutionary dynamics; Group selection; Mathematics; Mathematical economics; Simple (philosophy); Computer science; Artificial intelligence; Ecology; Physics","score_opus":0.0958807150794702,"score_gpt":0.33405704510393097,"score_spread":0.23817633002446076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993006785","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11659814,0.0017227151,0.8129147,0.004296811,0.00039340826,0.00011595284,0.00048720528,0.00026204766,0.06320897],"genre_scores_gemma":[0.9124325,0.0011005473,0.05656496,0.00041538972,0.0002489742,0.00015348922,0.0001948526,0.000101913116,0.028787395],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988851,0.00055460137,0.000048934417,0.00015188311,0.00021808977,0.00014132069],"domain_scores_gemma":[0.99632794,0.0026327157,0.00021123863,0.0003272327,0.00027667722,0.00022421993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002076387,0.00051146065,0.0022259154,0.000660366,0.0008135934,0.0024083,0.0027036862,0.002395248,0.004634592],"category_scores_gemma":[0.008051241,0.00058632065,0.0010384831,0.00094554387,0.0017670651,0.0025884446,0.0011921874,0.0020402449,0.00085345877],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032649958,0.000039067865,0.0009676387,0.00006511141,0.00007955386,0.00022952024,0.00009689726,0.14877623,0.0004014476,0.83898,0.003015669,0.007316174],"study_design_scores_gemma":[0.00005051761,0.000013363909,0.00039126532,0.000008799961,0.00002401174,0.000068891466,0.000020257203,0.37174106,0.00006368376,0.62651676,0.001081035,0.000020317566],"about_ca_topic_score_codex":0.007189961,"about_ca_topic_score_gemma":0.0055822222,"teacher_disagreement_score":0.007189961,"about_ca_system_score_codex":0.0014104183,"about_ca_system_score_gemma":0.0013686077,"threshold_uncertainty_score":0.015504241},"labels":[],"label_agreement":null},{"id":"W1993332991","doi":"10.1016/j.jtbi.2014.04.031","title":"Mathematical model of macrophage-facilitated breast cancer cells invasion","year":2014,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":111,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada; Pacific Institute for the Mathematical Sciences","keywords":"Autocrine signalling; Secretion; Chemotaxis; Cancer cell; Cell biology; Biology; Cell; Epidermal growth factor; Signalling; Receptor; Biophysics; Chemistry; Cancer; Biochemistry; Genetics","score_opus":0.023914892327352746,"score_gpt":0.30011466332397546,"score_spread":0.27619977099662274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993332991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49183565,0.0046138465,0.36767146,0.010990035,0.00069878,0.0001870233,0.0014691938,0.0003448413,0.12218918],"genre_scores_gemma":[0.9543777,0.001008063,0.007101391,0.00024058278,0.00013484433,0.00011298461,0.00014084729,0.000033015855,0.036850702],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997662,0.00007303814,0.000010280347,0.00003856022,0.000055654167,0.000056320187],"domain_scores_gemma":[0.99953914,0.00016448788,0.000100057085,0.000020976026,0.00010185631,0.00007345943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040433055,0.0007762641,0.0009343414,0.00090782257,0.00063346827,0.0013354251,0.0019028625,0.0027283693,0.0037649632],"category_scores_gemma":[0.0013744143,0.00036247342,0.0008967457,0.00056362856,0.0009841458,0.0012200943,0.0013453177,0.0010574048,0.0005571497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009800412,0.00009997293,0.0013924713,0.00021761007,0.000055159875,0.000846446,0.0002611307,0.55108464,0.011114372,0.42871416,0.0032598127,0.0028562786],"study_design_scores_gemma":[0.000030106123,0.000027028758,0.00027358203,0.000008580899,0.000018442262,0.0001322294,0.000036297948,0.9779498,0.0003311375,0.020345025,0.0008295292,0.000018224468],"about_ca_topic_score_codex":0.008590325,"about_ca_topic_score_gemma":0.0037570072,"teacher_disagreement_score":0.008590325,"about_ca_system_score_codex":0.0013645842,"about_ca_system_score_gemma":0.0011138339,"threshold_uncertainty_score":0.017080605},"labels":[],"label_agreement":null},{"id":"W1994540622","doi":"10.1016/j.jtbi.2006.10.027","title":"Robustness and evolvability in genetic regulatory networks","year":2006,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":281,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Institute of General Medical Sciences; Consejo Nacional de Ciencia y Tecnología; National Institutes of Health; National Science Foundation","keywords":"Evolvability; Robustness (evolution); Gene regulatory network; Organism; Biology; Gene; Attractor; Biological network; Computer science; Genetics; Computational biology; Mathematics; Gene expression","score_opus":0.0029198431140574645,"score_gpt":0.2149901533059086,"score_spread":0.21207031019185113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994540622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69964033,0.00053697557,0.2931739,0.0009709129,0.00003058263,0.000031778043,0.000093636314,0.00026320852,0.0052586934],"genre_scores_gemma":[0.9926537,0.00016364138,0.006551164,0.000030140842,0.00002753961,0.000027041042,0.00003604171,0.00003838926,0.00047231125],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987196,0.0006374707,0.000065259934,0.00022125799,0.00023186089,0.00012473864],"domain_scores_gemma":[0.96898055,0.026235828,0.002059541,0.0014613249,0.0005492438,0.00071348547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032749432,0.0005723016,0.0008383332,0.0019645276,0.0006251822,0.0020715513,0.001354988,0.0011082529,0.0013124164],"category_scores_gemma":[0.028175188,0.0005844914,0.0011112579,0.00078202237,0.003792187,0.0035860722,0.0016920327,0.0018407151,0.00010966763],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004017927,0.00007182981,0.009920563,0.0001635886,0.00023196501,0.00043922002,0.00053231016,0.53947353,0.0092130955,0.41827986,0.0003001896,0.020972067],"study_design_scores_gemma":[0.000025426742,0.000057623474,0.0018497405,0.000016292586,0.000035971232,0.00013417896,0.000051886775,0.5654636,0.0011544815,0.43098807,0.0002004095,0.000022358765],"about_ca_topic_score_codex":0.00045758736,"about_ca_topic_score_gemma":0.0003042737,"teacher_disagreement_score":0.0032749432,"about_ca_system_score_codex":0.00082111434,"about_ca_system_score_gemma":0.0003369862,"threshold_uncertainty_score":0.017319798},"labels":[],"label_agreement":null},{"id":"W1994967864","doi":"10.1006/jtbi.2002.3059","title":"Darwinian Selection Leads to Gaia","year":2002,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Earth Systems and Cosmic Evolution","field":"Earth and Planetary Sciences","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Darwinism; Convergence (economics); Selection (genetic algorithm); Outcome (game theory); Simple (philosophy); Natural selection; Biota; Evolutionary dynamics; Ecology; Population; Mathematical economics; Biology; Economics; Evolutionary biology; Computer science; Epistemology; Artificial intelligence; Philosophy; Sociology","score_opus":0.012414356293426293,"score_gpt":0.22571323658209774,"score_spread":0.21329888028867144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994967864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8031042,0.00057434384,0.056393202,0.0035611098,0.0003176626,0.00007206156,0.00023718293,0.0010265115,0.13471375],"genre_scores_gemma":[0.9893462,0.000100195175,0.0034633395,0.00024971884,0.000030055255,0.00002076014,0.00003730633,0.00009267846,0.006659642],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99968374,0.00009774082,0.000008099139,0.00006954532,0.000034246084,0.00010663824],"domain_scores_gemma":[0.9977107,0.0010192449,0.00014589187,0.00041177683,0.00033370912,0.000378636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068989355,0.00023416574,0.00069121836,0.0006748636,0.0013366452,0.001279252,0.00056239567,0.00092697196,0.011056132],"category_scores_gemma":[0.0053326883,0.00027715677,0.0006084736,0.0004395095,0.001722226,0.00089103595,0.0013045346,0.0013603094,0.00089072436],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001658349,0.00004217081,0.006066921,0.00008848899,0.00009300863,0.0005743415,0.00044586026,0.007478531,0.008794141,0.94579345,0.005552399,0.024904924],"study_design_scores_gemma":[0.00009856808,0.00007532903,0.011814985,0.000021433749,0.00007296769,0.0007720898,0.0003607166,0.032760847,0.0026079526,0.9437015,0.00767593,0.00003763649],"about_ca_topic_score_codex":0.0014949357,"about_ca_topic_score_gemma":0.001596346,"teacher_disagreement_score":0.011056132,"about_ca_system_score_codex":0.00080616964,"about_ca_system_score_gemma":0.0009986194,"threshold_uncertainty_score":0.03698641},"labels":[],"label_agreement":null},{"id":"W1995245306","doi":"10.1016/s0022-5193(03)00073-0","title":"Optimal diving under the risk of predation","year":2003,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":89,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Mote Marine Laboratory and Aquarium; National Science Foundation","keywords":"Predation; Foraging; Ecology; Environmental science; Habitat; Fish <Actinopterygii>; Optimal foraging theory; Energy expenditure; Interval (graph theory); Biology; Fishery; Mathematics","score_opus":0.005865824022468564,"score_gpt":0.22847092850934986,"score_spread":0.22260510448688128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995245306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98508483,0.00010744215,0.009734052,0.00037544116,0.000017171147,0.000012426388,0.00004329962,0.000024443436,0.0046009473],"genre_scores_gemma":[0.9982576,0.000036430265,0.0011733563,0.000013565512,0.0000071924787,0.00000397239,0.000014009294,0.000005723024,0.00048819944],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99983907,0.00005047433,0.000009786799,0.000027718117,0.000013475445,0.000059444716],"domain_scores_gemma":[0.99880254,0.0005560408,0.00021659168,0.00008097207,0.00012531993,0.00021847183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005428264,0.0002886744,0.00042047258,0.000307069,0.0003445635,0.0008692188,0.0003429562,0.0007788876,0.0023943891],"category_scores_gemma":[0.0031554548,0.00028914018,0.00015818398,0.00015162896,0.00056218106,0.00082271127,0.00051057123,0.00039528284,0.00019110796],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030057523,0.00091399526,0.062486947,0.0003766703,0.0003514821,0.0006322935,0.00069257314,0.7033275,0.038169786,0.087026194,0.005033688,0.09798313],"study_design_scores_gemma":[0.0002255445,0.00094093377,0.09978173,0.000059854603,0.000090058726,0.00035002545,0.0010766706,0.75077945,0.0019957386,0.1436957,0.0009542258,0.00005003291],"about_ca_topic_score_codex":0.0015370409,"about_ca_topic_score_gemma":0.0019102041,"teacher_disagreement_score":0.0023943891,"about_ca_system_score_codex":0.00036447484,"about_ca_system_score_gemma":0.00044542408,"threshold_uncertainty_score":0.00800997},"labels":[],"label_agreement":null},{"id":"W1995478512","doi":"10.1006/jtbi.2001.2367","title":"Fractal Dimensions and Multifractility in Vascular Branching","year":2001,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":111,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Multifractal system; Exponent; Mathematics; Fractal dimension; Fractal; Branching (polymer chemistry); Hausdorff dimension; Statistical physics; Limit (mathematics); Power law; Mathematical analysis; Physics; Statistics; Materials science","score_opus":0.015103811763521473,"score_gpt":0.23731598865100006,"score_spread":0.2222121768874786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995478512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96243894,0.0011614986,0.031626087,0.00059287436,0.000024384535,0.000008561662,0.00005685254,0.000044778735,0.00404596],"genre_scores_gemma":[0.99776745,0.00017236124,0.001694034,0.00001923462,0.000039406517,0.0000048721686,0.000018290097,0.0000066580615,0.00027767452],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996978,0.000101606056,0.000015104898,0.00005399201,0.000056449793,0.000075015334],"domain_scores_gemma":[0.9905071,0.006190317,0.0013667009,0.00050320657,0.00044554455,0.0009870938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013642455,0.00021760292,0.0006869795,0.0027613726,0.00078406354,0.0023801893,0.0006314053,0.0009892507,0.0016402409],"category_scores_gemma":[0.008883144,0.00043447164,0.0004959714,0.0010132765,0.0018850206,0.0023760747,0.0011081917,0.00089246506,0.00010371101],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001333789,0.000046072233,0.018650264,0.00006576729,0.00006215082,0.00039685285,0.0007374613,0.044646557,0.0070049735,0.9137141,0.0008943034,0.013648163],"study_design_scores_gemma":[0.000031623273,0.000040038514,0.021449389,0.000019883244,0.00004426056,0.0006783041,0.00023584718,0.18397771,0.0006540579,0.7918402,0.0009777015,0.000050917457],"about_ca_topic_score_codex":0.00090418785,"about_ca_topic_score_gemma":0.0007863202,"teacher_disagreement_score":0.0027613726,"about_ca_system_score_codex":0.0010161541,"about_ca_system_score_gemma":0.00028793857,"threshold_uncertainty_score":0.007372737},"labels":[],"label_agreement":null},{"id":"W1996127492","doi":"10.1016/j.jtbi.2009.07.026","title":"Adaptive changes in prey vulnerability shape the response of predator populations to mortality","year":2009,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Toronto Zoo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Predator; Predation; Functional response; Biology; Population; Ecology; Vulnerability (computing); Demography","score_opus":0.07410536098785883,"score_gpt":0.38350456635769925,"score_spread":0.30939920536984045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996127492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988753,0.0000150672595,0.0007380709,0.000068618036,0.0000030611666,0.0000015279705,0.000019967178,0.000009209623,0.00026908048],"genre_scores_gemma":[0.99976915,0.000009930615,0.00012156511,0.000017103835,0.0000022277723,0.000001279208,0.0000108279755,0.0000028896707,0.00006496153],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997744,0.00007366819,0.000013974947,0.00005954169,0.000022529171,0.000055904],"domain_scores_gemma":[0.9980952,0.00093923847,0.0004540284,0.00021241237,0.00009582068,0.00020337499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006743428,0.00018603161,0.00026649158,0.00047342858,0.00018053803,0.0008816049,0.00036851497,0.0008032986,0.0017306356],"category_scores_gemma":[0.0059949486,0.00035712158,0.0002947969,0.00018402726,0.00062102807,0.00044895022,0.00065854745,0.00064622174,0.00021098583],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014449783,0.0004882356,0.685566,0.0001403514,0.0006965091,0.0010053993,0.001505941,0.065260254,0.19939896,0.008141596,0.0012050366,0.035146713],"study_design_scores_gemma":[0.00005547438,0.00030058238,0.879749,0.000011816787,0.00010564035,0.00089932716,0.0006426618,0.10166233,0.004757381,0.01154002,0.0002235707,0.00005214676],"about_ca_topic_score_codex":0.0006281805,"about_ca_topic_score_gemma":0.00067887915,"teacher_disagreement_score":0.0017306356,"about_ca_system_score_codex":0.000299925,"about_ca_system_score_gemma":0.00014074049,"threshold_uncertainty_score":0.0057895184},"labels":[],"label_agreement":null},{"id":"W1997416490","doi":"10.1016/j.jtbi.2011.05.003","title":"A model of the physiological basis of a multivariate phenotype that is mediated by Ca2+ signaling and controlled by ryanodine receptor composition","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Ion channel regulation and function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; University of Guelph","keywords":"Ryanodine receptor; RYR1; Ryanodine receptor 2; Skeletal muscle; Biology; Calcium; Cardiac muscle; Calcium signaling; Receptor; Phenotype; Multivariate statistics; Cell biology; Voltage-dependent calcium channel; Myocyte; Internal medicine; Biophysics; Endocrinology; Signal transduction; Gene; Biochemistry; Computer science","score_opus":0.02257277543737169,"score_gpt":0.24241103078946327,"score_spread":0.2198382553520916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997416490","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38920864,0.00037293162,0.5681079,0.004001551,0.0003029002,0.00005709234,0.0005550537,0.0010287157,0.036365237],"genre_scores_gemma":[0.96306366,0.0002029401,0.02769424,0.0002164111,0.00006399339,0.0000714188,0.00012057803,0.00012219953,0.008444641],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99991155,0.000014471842,0.0000042716883,0.00002651923,0.000022964427,0.000020131254],"domain_scores_gemma":[0.9998006,0.000052588945,0.000028578128,0.000028908105,0.000027209382,0.00006211266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017053618,0.00041026244,0.0004864937,0.00035346893,0.00039324313,0.0006416995,0.0008172877,0.00081338326,0.0038459313],"category_scores_gemma":[0.00048037048,0.00015614618,0.0005447309,0.00020793463,0.0006964769,0.00078206,0.0005221676,0.00076227647,0.00053980446],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014893271,0.00006250095,0.0008744625,0.00007386004,0.000030115589,0.0009651935,0.00009911486,0.046747133,0.3390114,0.60402983,0.0014930865,0.0064644483],"study_design_scores_gemma":[0.00013699055,0.0001643805,0.0030767794,0.00001110885,0.000038168273,0.0013497763,0.00006609102,0.6326583,0.014131014,0.34427366,0.00401442,0.00007928284],"about_ca_topic_score_codex":0.0008259152,"about_ca_topic_score_gemma":0.00045658633,"teacher_disagreement_score":0.0038459313,"about_ca_system_score_codex":0.00037358238,"about_ca_system_score_gemma":0.0005387402,"threshold_uncertainty_score":0.012865901},"labels":[],"label_agreement":null},{"id":"W1997463030","doi":"10.1016/j.jtbi.2015.02.008","title":"The evolution of group dispersal with leaders and followers","year":2015,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute for Mathematical and Biological Synthesis; National Science Foundation","keywords":"Biological dispersal; Inclusive fitness; Kin selection; Incentive; Group selection; Context (archaeology); Cooperative breeding; Phenomenon; Ecology; Altruism (biology); Group (periodic table); Microeconomics; Social psychology; Economics; Biology; Selection (genetic algorithm); Psychology; Population; Computer science; Sociology; Demography; Epistemology","score_opus":0.01418853444467605,"score_gpt":0.290401651179405,"score_spread":0.2762131167347289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997463030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9843083,0.00016449667,0.008785744,0.0012140733,0.000023838938,0.000012448226,0.000041517957,0.000019338933,0.005430161],"genre_scores_gemma":[0.997285,0.000049890044,0.0013851688,0.000037401816,0.000007674878,0.0000062688578,0.00001630633,0.000004844632,0.0012073991],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99937767,0.00037329,0.00001740677,0.000101035774,0.000047373986,0.00008324779],"domain_scores_gemma":[0.9943082,0.0039421846,0.0005570793,0.000348417,0.00032493557,0.00051925296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002480813,0.00014987255,0.00029049357,0.0005456775,0.0008911824,0.0015866334,0.0007728063,0.0018007966,0.004538824],"category_scores_gemma":[0.015591177,0.00023671334,0.00030714716,0.00031384648,0.001328615,0.0019252902,0.0010038534,0.00085632724,0.00044802422],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010193497,0.0005506231,0.16677001,0.00027228578,0.00044355384,0.0019789124,0.006045218,0.14292344,0.022042155,0.55337566,0.00811156,0.096467316],"study_design_scores_gemma":[0.00040663825,0.0005258462,0.13747212,0.000079138124,0.00022744459,0.001901907,0.0049212202,0.46442634,0.0018833037,0.38132772,0.006675644,0.00015268783],"about_ca_topic_score_codex":0.0018560295,"about_ca_topic_score_gemma":0.002011014,"teacher_disagreement_score":0.004538824,"about_ca_system_score_codex":0.0007298656,"about_ca_system_score_gemma":0.00035558402,"threshold_uncertainty_score":0.015183926},"labels":[],"label_agreement":null},{"id":"W2000776663","doi":"10.1016/j.jtbi.2010.06.036","title":"Continuously stable strategies as evolutionary branching points","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Evolutionary dynamics; Evolutionarily stable strategy; Branching (polymer chemistry); Fitness landscape; Diversification (marketing strategy); Equilibrium point; Fitness function; Mathematics; Evolutionary biology; Biology; Mathematical optimization; Mathematical economics; Game theory; Genetic algorithm; Mathematical analysis; Population","score_opus":0.002783485004946848,"score_gpt":0.25689459689852034,"score_spread":0.2541111118935735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000776663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48914364,0.0024496196,0.43314555,0.003595485,0.0002383294,0.00010841211,0.00016585858,0.00039636198,0.070756756],"genre_scores_gemma":[0.9653229,0.0009559977,0.022909967,0.00019543844,0.00017038218,0.00013056744,0.00007502614,0.00010424138,0.01013552],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992084,0.00030032374,0.000031434884,0.00010924347,0.00021043899,0.00014015692],"domain_scores_gemma":[0.98975706,0.007954411,0.0005496893,0.00040923973,0.00048696154,0.000842619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021689155,0.0007954441,0.0009307217,0.0024268425,0.000995994,0.003505147,0.0018832011,0.0025283608,0.0062300814],"category_scores_gemma":[0.014698862,0.00073983165,0.0007986169,0.0014712029,0.0035450293,0.0051276633,0.002400937,0.0033916202,0.0005300097],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016547752,0.00001231653,0.0002788184,0.000023852093,0.000011646086,0.00009438149,0.0001740085,0.01026384,0.00066731765,0.9849229,0.00029067585,0.0032436927],"study_design_scores_gemma":[0.000018000337,0.000014078793,0.00017717204,0.000009100621,0.0000073405035,0.00008601898,0.000044559292,0.051545393,0.00019906579,0.94735396,0.00053498166,0.000010193388],"about_ca_topic_score_codex":0.00054576277,"about_ca_topic_score_gemma":0.0003878466,"teacher_disagreement_score":0.0062300814,"about_ca_system_score_codex":0.0016106747,"about_ca_system_score_gemma":0.00054608204,"threshold_uncertainty_score":0.020841718},"labels":[],"label_agreement":null},{"id":"W2000910321","doi":"10.1016/j.jtbi.2008.09.043","title":"Mathematical model for G-CSF administration after chemotherapy","year":2008,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Neutropenia and Cancer Infections","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Filgrastim; Pegfilgrastim; Neutropenia; Granulocyte colony-stimulating factor; Chemotherapy; Granulocyte; Medicine; Absolute neutrophil count; Oncology; Internal medicine","score_opus":0.02359525844398821,"score_gpt":0.3309621677059397,"score_spread":0.30736690926195154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000910321","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12085638,0.0040128306,0.74346423,0.02840061,0.00084257696,0.00029464532,0.002795072,0.00048495442,0.09884867],"genre_scores_gemma":[0.851562,0.003059221,0.031694267,0.0019109204,0.0006300104,0.0005814304,0.00084950443,0.00022898472,0.10948368],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919444,0.0002724975,0.000037096943,0.00012817838,0.00016716224,0.00020069457],"domain_scores_gemma":[0.9974253,0.0014769279,0.00046532182,0.00007675618,0.00035743567,0.00019832724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014422293,0.0012703388,0.0020086954,0.0013664673,0.0008677428,0.0025814949,0.0031222547,0.0050513106,0.010251427],"category_scores_gemma":[0.0065537225,0.00075027824,0.0014068111,0.0012362389,0.0016735268,0.002508405,0.0018490964,0.0031878839,0.0014524028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083375526,0.00009414461,0.000858207,0.00016509063,0.000056280092,0.00044888785,0.00019180734,0.50004315,0.0014313473,0.4863514,0.0052406364,0.0050357603],"study_design_scores_gemma":[0.000056175406,0.000045019082,0.0002574014,0.00002378807,0.000033160817,0.00017487018,0.000044565644,0.91869164,0.00014176633,0.07859323,0.0019085935,0.000029749128],"about_ca_topic_score_codex":0.0147658875,"about_ca_topic_score_gemma":0.0065178075,"teacher_disagreement_score":0.0147658875,"about_ca_system_score_codex":0.0037470807,"about_ca_system_score_gemma":0.0029305054,"threshold_uncertainty_score":0.034294486},"labels":[],"label_agreement":null},{"id":"W2000938663","doi":"10.1016/j.jtbi.2006.10.029","title":"Sustained oscillations via coherence resonance in SIR","year":2006,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"stochastic dynamics and bifurcation","field":"Physics and Astronomy","cited_by":119,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Alfred P. Sloan Foundation","keywords":"Coherence (philosophical gambling strategy); Amplitude; Spectral density; Statistical physics; Resonance (particle physics); Stochastic resonance; Scale (ratio); Physics; Stochastic process; Mathematics; Dynamics (music); Computer science; Quantum mechanics; Noise (video); Statistics","score_opus":0.0039056113859321337,"score_gpt":0.24369427161280122,"score_spread":0.2397886602268691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000938663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8018325,0.00040721396,0.17615916,0.00069553143,0.00013539189,0.00004085162,0.000076652475,0.0003184264,0.020334337],"genre_scores_gemma":[0.9950523,0.00006846541,0.0030197972,0.000059458995,0.000034024968,0.000013204537,0.000016650158,0.000026003421,0.0017100951],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990237,0.000026664171,0.000005439171,0.000019313167,0.000023846009,0.000022271674],"domain_scores_gemma":[0.99935883,0.00030870433,0.00009736962,0.00006414929,0.00006670777,0.00010431144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036883095,0.00020726203,0.00038485465,0.000496008,0.0003371469,0.00073649455,0.00047972528,0.0007160096,0.002153336],"category_scores_gemma":[0.0017466465,0.00025647794,0.00026051534,0.00021372325,0.0006959567,0.0008533664,0.0007857049,0.0005722095,0.00024068831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027612282,0.000090329755,0.002962549,0.00013589204,0.00007304391,0.00076383795,0.00054356485,0.06315672,0.11284621,0.80115414,0.0020031792,0.015994374],"study_design_scores_gemma":[0.000060305218,0.00010865462,0.00233007,0.000012140394,0.000031699376,0.0003291106,0.00013320248,0.7716703,0.0039593494,0.22004102,0.0012816563,0.000042480875],"about_ca_topic_score_codex":0.00025820232,"about_ca_topic_score_gemma":0.000280692,"teacher_disagreement_score":0.002153336,"about_ca_system_score_codex":0.00028903628,"about_ca_system_score_gemma":0.00018340189,"threshold_uncertainty_score":0.0072036386},"labels":[],"label_agreement":null},{"id":"W2002062638","doi":"10.1006/jtbi.2000.2150","title":"A Model of β -Cell Mass, Insulin, and Glucose Kinetics: Pathways to Diabetes","year":2000,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":334,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Alberta; Simon Fraser University","funders":"","keywords":"Internal medicine; Endocrinology; Insulin; Beta cell; BETA (programming language); Diabetes mellitus; Blood sugar regulation; Chemistry; Biology; Medicine; Islet; Computer science","score_opus":0.012881272998321256,"score_gpt":0.23771095933853895,"score_spread":0.2248296863402177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002062638","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25219315,0.0031543155,0.5916024,0.025051339,0.00090225565,0.00007502012,0.0010439075,0.00043441445,0.12554322],"genre_scores_gemma":[0.9402638,0.0015288717,0.0218331,0.0009615966,0.00032787674,0.00013468463,0.00018180716,0.000064365166,0.034703903],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987495,0.000055551456,0.000004174584,0.000022333425,0.00002011104,0.00002282344],"domain_scores_gemma":[0.9995183,0.0002328859,0.000038321454,0.000040569776,0.00007358642,0.000096271884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041630297,0.00055363786,0.0006723,0.00039091974,0.000561665,0.0015561293,0.001658647,0.0018732,0.006313144],"category_scores_gemma":[0.0013987249,0.00023799694,0.0007502078,0.000503691,0.0010309721,0.0016840566,0.00087142875,0.0010782748,0.0007051445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017351989,0.000091802474,0.000740325,0.00007500993,0.000032034037,0.0002737363,0.00016533227,0.21683007,0.0026257802,0.7708151,0.00306591,0.0051114634],"study_design_scores_gemma":[0.00010307855,0.00007023851,0.000291673,0.000017989865,0.000020740437,0.00012975353,0.00005089432,0.58937925,0.0002285903,0.40671664,0.0029694138,0.000021731234],"about_ca_topic_score_codex":0.0032550802,"about_ca_topic_score_gemma":0.0012695501,"teacher_disagreement_score":0.006313144,"about_ca_system_score_codex":0.0008627993,"about_ca_system_score_gemma":0.0008497973,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2002822900","doi":"10.1016/j.jtbi.2009.05.008","title":"The impact of host-cell dynamics on the fixation probability for lytic viruses","year":2009,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Lytic cycle; Biology; Fixation (population genetics); Population; Lysis; Host (biology); Virus; Genetics; Immunology; Gene","score_opus":0.009678306391475936,"score_gpt":0.299858305753865,"score_spread":0.2901799993623891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002822900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96021926,0.0015807485,0.026662104,0.0021208504,0.00013135758,0.000020412137,0.00013147965,0.00013505765,0.008998767],"genre_scores_gemma":[0.99791855,0.00045496697,0.0006336287,0.00004692321,0.0000434974,0.000009030684,0.000032380987,0.000040780193,0.0008200863],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995426,0.000172169,0.000013303852,0.000072391456,0.00006189968,0.00013765352],"domain_scores_gemma":[0.9746363,0.022144174,0.000883341,0.00058329036,0.0006572394,0.0010956285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026517033,0.000611797,0.0013472718,0.0012527865,0.0014054043,0.001929707,0.0016007692,0.0021538362,0.0050475067],"category_scores_gemma":[0.025333041,0.00065755774,0.00070241705,0.00057461084,0.0021245396,0.0033096941,0.0013077348,0.0016885592,0.00038875316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062098325,0.00018447115,0.015123909,0.0003606244,0.00018568497,0.001063592,0.00046502092,0.5873476,0.03224169,0.34477597,0.003425331,0.014205125],"study_design_scores_gemma":[0.00006514215,0.00008547909,0.005731971,0.000022242417,0.000065776396,0.00023509897,0.000120435776,0.9042076,0.0020436745,0.08700052,0.00032600318,0.000096150085],"about_ca_topic_score_codex":0.0038865712,"about_ca_topic_score_gemma":0.0022731717,"teacher_disagreement_score":0.0050475067,"about_ca_system_score_codex":0.001800003,"about_ca_system_score_gemma":0.000703626,"threshold_uncertainty_score":0.016885579},"labels":[],"label_agreement":null},{"id":"W2003337337","doi":"10.1016/j.jtbi.2012.12.024","title":"Enhanced surveillance on food-borne disease outbreaks: Dynamics of cross-contamination in biocidal wash procedure","year":2013,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Listeria monocytogenes in Food Safety","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Fields Institute for Research in Mathematical Sciences; National Aeronautics and Space Administration","keywords":"Contamination; Outbreak; Chlorine; Environmental science; Contaminated food; Food chain; Contamination control; Computer science; Biology; Toxicology; Chemistry; Microbiology; Ecology; Virology","score_opus":0.014049468196925353,"score_gpt":0.3076885872801912,"score_spread":0.29363911908326584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003337337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99819475,0.000047108315,0.0012161119,0.000018432052,0.0000013024958,0.000006231806,0.0000331863,0.000011213902,0.00047168217],"genre_scores_gemma":[0.9994248,0.000022752763,0.0003790457,0.0000050659605,9.700575e-7,0.0000034345576,0.000032459968,0.0000015763799,0.00012990167],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995888,0.00009300926,0.000022656302,0.00009726987,0.00011695673,0.00008130101],"domain_scores_gemma":[0.9962494,0.0015334701,0.0010169545,0.00030099417,0.00074979017,0.00014943951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007737609,0.00015912934,0.00017701635,0.00053986855,0.00021129969,0.0006437908,0.0003098037,0.00050241954,0.0013124351],"category_scores_gemma":[0.0050690086,0.00012522117,0.00014775842,0.00034577414,0.00022942096,0.00063142634,0.0005775129,0.0002596165,0.00020950762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013625681,0.0007351822,0.66374594,0.0001400625,0.0000994756,0.00037826327,0.00082166446,0.014745578,0.24763352,0.0014687408,0.00035461018,0.068514355],"study_design_scores_gemma":[0.000020904394,0.0012769939,0.8339198,0.00004259862,0.000109949404,0.00041569525,0.0013710005,0.08971167,0.070914425,0.0013126663,0.00086633454,0.000037888178],"about_ca_topic_score_codex":0.0019195899,"about_ca_topic_score_gemma":0.001371204,"teacher_disagreement_score":0.0019195899,"about_ca_system_score_codex":0.00037226878,"about_ca_system_score_gemma":0.00035492392,"threshold_uncertainty_score":0.0043905377},"labels":[],"label_agreement":null},{"id":"W2004376725","doi":"10.1016/j.jtbi.2011.01.036","title":"A three-species model explaining cyclic dominance of Pacific salmon","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Dominance (genetics); Biology; Fishery; Ecology; Genetics","score_opus":0.05837839185448077,"score_gpt":0.29598611351872006,"score_spread":0.2376077216642393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004376725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7586207,0.0009479588,0.16648929,0.006336756,0.00024533406,0.00009530254,0.0014354077,0.00038333703,0.06544594],"genre_scores_gemma":[0.98386616,0.00024730567,0.0050101946,0.00017352219,0.000050297607,0.00007367761,0.00016423708,0.000033947515,0.010380632],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997322,0.00010580987,0.000014575112,0.00005723343,0.000029455512,0.00006080387],"domain_scores_gemma":[0.99900997,0.00040597474,0.00016716677,0.000060850987,0.00014493233,0.00021106846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008563465,0.0005449618,0.0007419434,0.0006745504,0.0009824984,0.0013405706,0.0021114333,0.0022828192,0.0071042273],"category_scores_gemma":[0.0027373885,0.0004195799,0.0009597258,0.0006923935,0.0012579251,0.0016286217,0.0010875397,0.0010633625,0.0007110684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017314393,0.00008814925,0.0038299386,0.00009215129,0.000117198964,0.0011183603,0.00044763903,0.80382395,0.002240257,0.18001752,0.003178856,0.0048728767],"study_design_scores_gemma":[0.000053768304,0.000027529422,0.0006997775,0.00000896919,0.000016734584,0.00008719479,0.00006247216,0.96441513,0.000031390064,0.03397114,0.0006063073,0.000019649564],"about_ca_topic_score_codex":0.017422212,"about_ca_topic_score_gemma":0.009322203,"teacher_disagreement_score":0.017422212,"about_ca_system_score_codex":0.0014416869,"about_ca_system_score_gemma":0.00093944283,"threshold_uncertainty_score":0.034641564},"labels":[],"label_agreement":null},{"id":"W2004681084","doi":"10.1016/j.jtbi.2007.06.004","title":"Ability of the planar spring–mass model to predict mechanical parameters in running humans","year":2007,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Lower Extremity Biomechanics and Pathologies","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Impulse (physics); Mechanics; Mathematics; Approximation error; STRIDE; Simulation; Geodesy; Statistics; Physics; Geology; Computer science; Classical mechanics","score_opus":0.016810692686506985,"score_gpt":0.2531419941615413,"score_spread":0.23633130147503434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004681084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8854293,0.00022387957,0.11104965,0.00029023798,0.000038761005,0.000026201531,0.00016877282,0.00027896426,0.002494207],"genre_scores_gemma":[0.99744415,0.000039769526,0.0020443173,0.000014691786,0.0000048320135,0.000009502743,0.00005921326,0.000011906397,0.00037159587],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999291,0.0000279221,0.0000043211408,0.000017390665,0.000011781653,0.000009554276],"domain_scores_gemma":[0.99954,0.00031499867,0.000033441265,0.000044963595,0.00004879323,0.000017904771],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038247087,0.00031826252,0.00029429953,0.0002795455,0.00020610585,0.0003133621,0.00036775728,0.0007068568,0.0009321118],"category_scores_gemma":[0.002595001,0.00026355978,0.00031367387,0.00015465656,0.00021292022,0.00024317767,0.00025410164,0.0002490933,0.00036164955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026156296,0.00007487633,0.014716588,0.0000287344,0.00007900344,0.00007076179,0.00005236665,0.95343995,0.0044800458,0.0006402963,0.0003223071,0.025833404],"study_design_scores_gemma":[0.000010062362,0.00007536322,0.0059536565,0.000003235746,0.000016097085,0.00004957703,0.000013284549,0.99242955,0.00048547512,0.0008570199,0.00009931423,0.0000073912993],"about_ca_topic_score_codex":0.005866195,"about_ca_topic_score_gemma":0.0022770965,"teacher_disagreement_score":0.005866195,"about_ca_system_score_codex":0.00013105279,"about_ca_system_score_gemma":0.00032543956,"threshold_uncertainty_score":0.011664093},"labels":[],"label_agreement":null},{"id":"W2005348305","doi":"10.1016/j.jtbi.2008.10.029","title":"Evolutionary matrix games and optimization theory","year":2008,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Evolutionarily stable strategy; Normal-form game; Stochastic game; Evolutionary game theory; Mathematical optimization; Matrix (chemical analysis); Outcome (game theory); Computer science; Strategy; Game theory; Evolutionary dynamics; Stability (learning theory); Mathematical economics; Process (computing); Sequential game; Mathematics; Machine learning","score_opus":0.010729774043604371,"score_gpt":0.2941573685195813,"score_spread":0.28342759447597693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005348305","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059538938,0.013991704,0.7807193,0.013522734,0.0008909258,0.00007611144,0.00022571087,0.00008607663,0.13094847],"genre_scores_gemma":[0.899735,0.00625918,0.064638935,0.0008744026,0.00078960776,0.0002053839,0.000121462974,0.000045054123,0.027331108],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99921393,0.00049468986,0.000029299466,0.00006759896,0.00013466256,0.000059717808],"domain_scores_gemma":[0.997244,0.0022556977,0.0001580766,0.00008128159,0.00017750789,0.000083415856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013357577,0.0006919219,0.0010102695,0.000869587,0.00067594525,0.0022998292,0.0009440086,0.0017552868,0.006404573],"category_scores_gemma":[0.0053190426,0.00033036462,0.00056593254,0.0013996384,0.0022888375,0.0028922919,0.00091026817,0.0019526893,0.000428285],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006847604,0.000011357089,0.00006916132,0.000035731227,0.000010235236,0.000017836172,0.000042509044,0.011029783,0.00006710245,0.98367184,0.0010312055,0.0040064296],"study_design_scores_gemma":[0.0000067778733,0.000005983489,0.000053864962,0.000008319445,0.0000037144605,0.000014953852,0.00002364765,0.017927201,0.000016289816,0.9799896,0.0019460795,0.0000035414537],"about_ca_topic_score_codex":0.0019158325,"about_ca_topic_score_gemma":0.0013679835,"teacher_disagreement_score":0.006404573,"about_ca_system_score_codex":0.0013240398,"about_ca_system_score_gemma":0.0008466404,"threshold_uncertainty_score":0.021425426},"labels":[],"label_agreement":null},{"id":"W2005362716","doi":"10.1016/j.jtbi.2011.09.004","title":"The roles of spatial heterogeneity and adaptive movement in stabilizing (or destabilizing) simple metacommunities","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Population; Spatial heterogeneity; Stability (learning theory); Movement (music); Biological system; Density dependence; Ecology; Control theory (sociology); Mathematics; Biology; Econometrics; Computer science; Physics; Artificial intelligence; Demography","score_opus":0.07021147485398722,"score_gpt":0.32035794451124006,"score_spread":0.25014646965725285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005362716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98978007,0.000115401686,0.00800401,0.00037793154,0.000011551393,0.0000052238,0.000011788316,0.000019302577,0.0016746174],"genre_scores_gemma":[0.99956495,0.000020281144,0.00029131008,0.000013001328,0.000004623073,0.0000021051208,0.0000025040588,0.0000015245917,0.00009957086],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99973756,0.0000949189,0.000014132068,0.00005387349,0.00003327943,0.0000661477],"domain_scores_gemma":[0.9948337,0.0032554523,0.00079379475,0.0004492554,0.00019759679,0.00047030044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012475401,0.0001971352,0.0003690256,0.0005954996,0.000668538,0.0012039681,0.0007144402,0.0008189638,0.0013379111],"category_scores_gemma":[0.009854318,0.00024901022,0.0003086922,0.0002150191,0.002310639,0.0016906052,0.0010918031,0.0005826556,0.000075089],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010785101,0.00026765928,0.12979884,0.0003577033,0.00042242094,0.0014071389,0.0022202933,0.19020104,0.04140209,0.57313156,0.0017988065,0.057913825],"study_design_scores_gemma":[0.0002045061,0.00039023993,0.08786694,0.000032342385,0.00022536128,0.0006761619,0.0018262945,0.36246312,0.0038159196,0.54143226,0.0009625079,0.000104394036],"about_ca_topic_score_codex":0.0013366988,"about_ca_topic_score_gemma":0.0015024208,"teacher_disagreement_score":0.0013379111,"about_ca_system_score_codex":0.00051539193,"about_ca_system_score_gemma":0.00033431654,"threshold_uncertainty_score":0.0065976977},"labels":[],"label_agreement":null},{"id":"W2005391019","doi":"10.1016/j.jtbi.2005.10.004","title":"Predicting epidemics on directed contact networks","year":2005,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":287,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Centre for Disease Control; University of British Columbia","funders":"University of British Columbia","keywords":"Social contact; Transmission (telecommunications); Contact tracing; Outbreak; Sexual contact; Epidemic model; Susceptible individual; Population; Basic reproduction number; Percolation (cognitive psychology); Infectious disease (medical specialty); Coronavirus disease 2019 (COVID-19); Disease; Medicine; Computer science; Virology; Biology; Environmental health; Human immunodeficiency virus (HIV); Psychology; Social psychology","score_opus":0.10159185503812397,"score_gpt":0.4090488340860865,"score_spread":0.30745697904796254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005391019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88578284,0.00041333656,0.108986996,0.0019701854,0.000051157527,0.000058974903,0.00045483222,0.000162314,0.0021195228],"genre_scores_gemma":[0.99345446,0.00023773096,0.0048403568,0.00006253269,0.000055175537,0.000024755647,0.00022617349,0.000011354225,0.0010875234],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995147,0.00024050528,0.000020923546,0.00010717367,0.000047562244,0.00006911903],"domain_scores_gemma":[0.96525383,0.031201992,0.0015588785,0.0007716758,0.00062078465,0.00059282023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002339234,0.00060441234,0.00086325244,0.0021317117,0.00052964455,0.0015638698,0.0014277779,0.0018234426,0.0025265936],"category_scores_gemma":[0.025483815,0.0006752033,0.00067609834,0.0011552684,0.0010577197,0.00360725,0.0013136112,0.0016643228,0.00025933128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026479425,0.00015952004,0.03915722,0.00008142624,0.00011623816,0.00020573949,0.00025397274,0.89319295,0.0005801768,0.04604868,0.0016089074,0.01833043],"study_design_scores_gemma":[0.000012454483,0.00002056925,0.001053245,0.0000058067612,0.000011019411,0.000023323246,0.000032286975,0.9712712,0.00010050292,0.027375404,0.000090465095,0.0000036889676],"about_ca_topic_score_codex":0.00471194,"about_ca_topic_score_gemma":0.0033785452,"teacher_disagreement_score":0.00471194,"about_ca_system_score_codex":0.0010800847,"about_ca_system_score_gemma":0.0003988555,"threshold_uncertainty_score":0.012371182},"labels":[],"label_agreement":null},{"id":"W2005728531","doi":"10.1016/j.jtbi.2007.12.006","title":"Evolutionarily distinctive species often capture more phylogenetic diversity than expected","year":2007,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":145,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Marsden Fund; Allan Wilson Centre","keywords":"Optimal distinctiveness theory; Phylogenetic tree; Clade; Evolutionary biology; Tree (set theory); Biology; Ultrametric space; Prioritization; Phylogenetic diversity; Ecology; Computer science; Mathematics; Combinatorics","score_opus":0.007168223484973436,"score_gpt":0.2329756818039326,"score_spread":0.22580745831895918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005728531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997086,0.00010849699,0.0017916377,0.00003891358,0.0000053359386,0.0000024387507,0.000032894826,0.0000113278675,0.0009229354],"genre_scores_gemma":[0.99911445,0.00003654526,0.0005085065,0.00006542654,0.00000598296,0.0000027323472,0.000069847665,0.000009052594,0.00018745866],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991468,0.00025919944,0.000034200188,0.00031736796,0.00010655841,0.00013579248],"domain_scores_gemma":[0.9957918,0.0020646704,0.0006772255,0.0009154448,0.00021027419,0.00034062908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011855175,0.0002824649,0.0007676888,0.001356544,0.0009511753,0.0011054297,0.0006547372,0.0010583678,0.0045737666],"category_scores_gemma":[0.00473102,0.00043087284,0.0004296737,0.0011421987,0.00095108553,0.0016167515,0.0015948215,0.0006944001,0.00041267712],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037393556,0.00014623,0.90085405,0.00014994935,0.0013019473,0.000289014,0.0013133667,0.0017277187,0.06235185,0.0028756454,0.0003771774,0.028239101],"study_design_scores_gemma":[0.00002360474,0.00014965252,0.9760932,0.000019323536,0.0002722438,0.0015652289,0.0016138245,0.0047817547,0.0045557907,0.009883484,0.0010105992,0.00003144222],"about_ca_topic_score_codex":0.00051339244,"about_ca_topic_score_gemma":0.0020555826,"teacher_disagreement_score":0.0045737666,"about_ca_system_score_codex":0.00032448597,"about_ca_system_score_gemma":0.00013459112,"threshold_uncertainty_score":0.015300751},"labels":[],"label_agreement":null},{"id":"W2005873737","doi":"10.1016/j.jtbi.2011.08.004","title":"Reaction–diffusion model of nutrient uptake in a biofilm: Theory and experiment","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Slime Mold and Myxomycetes Research","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Aeronautics and Space Administration","keywords":"Biofilm; Nutrient; Diffusion; Competition (biology); Biomass (ecology); Biological system; Chemical physics; Chemistry; Biology; Ecology; Thermodynamics; Physics","score_opus":0.024821913598074043,"score_gpt":0.2705593420885242,"score_spread":0.2457374284904502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005873737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82675064,0.0011296616,0.15300293,0.0030903975,0.00025854303,0.00013547609,0.00045052555,0.00032354146,0.014858373],"genre_scores_gemma":[0.9890409,0.00035122703,0.0074406164,0.000099450765,0.00003777491,0.000064017026,0.000120059514,0.00002176097,0.0028242336],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995572,0.0001446508,0.000024374443,0.00011483608,0.00008761683,0.000071317016],"domain_scores_gemma":[0.99683553,0.0023679987,0.00017341302,0.00014601322,0.0003459696,0.00013124089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015042782,0.00073937105,0.0015305812,0.00059199496,0.0008172729,0.0015036882,0.0024912176,0.0034413012,0.002428368],"category_scores_gemma":[0.0045066727,0.00062242115,0.0011021749,0.00057140144,0.001644834,0.002517781,0.00076095917,0.0013309916,0.00030714806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038485628,0.00035310502,0.001398166,0.0001721791,0.000053554922,0.0001937718,0.00015158279,0.90635693,0.02179869,0.065831274,0.0007577059,0.002548222],"study_design_scores_gemma":[0.000040673534,0.000027039561,0.00015061448,0.0000016318064,0.0000066570556,0.000008043945,0.00000842193,0.9960121,0.0006917422,0.0029807268,0.000058246478,0.000014001837],"about_ca_topic_score_codex":0.012744804,"about_ca_topic_score_gemma":0.0019935975,"teacher_disagreement_score":0.012744804,"about_ca_system_score_codex":0.00154478,"about_ca_system_score_gemma":0.001275342,"threshold_uncertainty_score":0.025341272},"labels":[],"label_agreement":null},{"id":"W2006173608","doi":"10.1016/j.jtbi.2007.09.038","title":"Criteria for dynamic similarity in bouncing gaits","year":2007,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Heritage Foundation for Medical Research; Michael Smith Health Research BC","keywords":"Froude number; Dimensionless quantity; Dynamic similarity; Similarity (geometry); Mathematics; Mechanics; Constant (computer programming); Stiffness; Mathematical analysis; Control theory (sociology); Physics; Computer science; Reynolds number; Flow (mathematics); Thermodynamics; Control (management); Artificial intelligence","score_opus":0.008546242727137145,"score_gpt":0.2919135881904482,"score_spread":0.28336734546331105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006173608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5374874,0.00083032664,0.4300967,0.00062430534,0.00023484898,0.0002631245,0.00048448902,0.0002802768,0.029698633],"genre_scores_gemma":[0.96711826,0.0002123238,0.027758557,0.00009478436,0.00021150087,0.00013623055,0.00055231893,0.000115756164,0.0038002813],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99760747,0.0004490254,0.0003134314,0.00045834278,0.00090813905,0.0002635981],"domain_scores_gemma":[0.98359597,0.00744311,0.0019417115,0.00086477346,0.0036726645,0.0024818045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027953642,0.0006326634,0.0016160004,0.0064220205,0.0018642783,0.004245655,0.0024499646,0.0027214345,0.0047821593],"category_scores_gemma":[0.029164646,0.0005040997,0.0011157399,0.0022730918,0.003516902,0.0050381212,0.0041781133,0.0019834521,0.0005777015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046997427,0.00021100834,0.010500911,0.0002665173,0.000090743866,0.0006545058,0.0010200443,0.024917563,0.01033665,0.902029,0.0020744952,0.04742864],"study_design_scores_gemma":[0.000067999026,0.00052915164,0.012579211,0.00011606019,0.000051799947,0.0014542452,0.0010955168,0.27859876,0.0032123197,0.6976219,0.004522812,0.00015023172],"about_ca_topic_score_codex":0.001065301,"about_ca_topic_score_gemma":0.0007288033,"teacher_disagreement_score":0.0064220205,"about_ca_system_score_codex":0.0009552821,"about_ca_system_score_gemma":0.0006181682,"threshold_uncertainty_score":0.015997946},"labels":[],"label_agreement":null},{"id":"W2006753722","doi":"10.1006/jtbi.2002.3036","title":"Construction of the Simplest Model to Explain Complex Receptor Activation Kinetics","year":2002,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Kinetics; Simple (philosophy); Kinetic energy; Thermodynamics; Ligand (biochemistry); Statistical physics; Applied mathematics; Dimer; Biological system; Mathematics; Chemistry; Physics; Receptor; Classical mechanics; Biology; Biochemistry","score_opus":0.02496987517102433,"score_gpt":0.2613572256731796,"score_spread":0.23638735050215526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006753722","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09870695,0.00048304544,0.86722577,0.0026395365,0.00036945453,0.00011101858,0.00035982303,0.00078101194,0.02932336],"genre_scores_gemma":[0.8632479,0.00046208873,0.12528424,0.0005466419,0.00018015596,0.0003208483,0.00024499363,0.00033032606,0.009382752],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980444,0.00005404491,0.00001063482,0.000030602543,0.000056536635,0.000043877862],"domain_scores_gemma":[0.9993673,0.0002434223,0.00004251026,0.0001476559,0.00010590924,0.000093144685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006240722,0.0006225547,0.0013073294,0.00077438826,0.0008861932,0.0012720707,0.0021690342,0.0023985158,0.00527742],"category_scores_gemma":[0.0021051192,0.0005187559,0.0017487253,0.0004050601,0.000845919,0.0016968577,0.0010053815,0.0015736656,0.0010224141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006573316,0.0000544985,0.00036928427,0.000091992064,0.000034798268,0.00025956327,0.00014893812,0.17663084,0.0056201587,0.80919224,0.0021022651,0.0054296446],"study_design_scores_gemma":[0.000032463828,0.000018437258,0.00009939541,0.000008096043,0.00001203191,0.00010393221,0.000016419765,0.66224766,0.00049364433,0.3354968,0.0014493691,0.000021693344],"about_ca_topic_score_codex":0.0010757006,"about_ca_topic_score_gemma":0.0007720458,"teacher_disagreement_score":0.00527742,"about_ca_system_score_codex":0.00075733155,"about_ca_system_score_gemma":0.0009469593,"threshold_uncertainty_score":0.017654717},"labels":[],"label_agreement":null},{"id":"W2009036884","doi":"10.1016/j.jtbi.2013.04.004","title":"Dynamics of in vitro intermediate filament length distributions","year":2013,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Skin and Cellular Biology Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsches Krebsforschungszentrum","keywords":"Protein filament; Constant (computer programming); Dynamics (music); Biological system; Range (aeronautics); Biophysics; Statistical physics; Chemistry; Physics; Materials science; Biology; Computer science; Biochemistry","score_opus":0.0055672757679399035,"score_gpt":0.26983375073947524,"score_spread":0.2642664749715353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009036884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872175,0.00011469912,0.009640165,0.0001699332,0.000017557668,0.000008016919,0.00020807669,0.00008146076,0.00254254],"genre_scores_gemma":[0.99717784,0.000100250974,0.001309908,0.000023423845,0.0000050999943,0.000012393831,0.00023588623,0.000037407073,0.0010978332],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986684,0.000018992916,0.000005016263,0.0000327363,0.000033045355,0.000043350396],"domain_scores_gemma":[0.9984963,0.0009041499,0.00016268453,0.0001157378,0.00013499065,0.00018613278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033208844,0.00021438247,0.00021437224,0.00036182642,0.0004734556,0.0008258204,0.0005892175,0.0003272107,0.0031945866],"category_scores_gemma":[0.002346703,0.00032747345,0.00026035318,0.0003656587,0.00053017895,0.0009437011,0.0003950666,0.0013057814,0.00040558827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000589989,0.00031916788,0.0072606266,0.00014824445,0.000095594856,0.0005231818,0.001076068,0.14249586,0.7974532,0.035270903,0.0019779222,0.01278926],"study_design_scores_gemma":[0.000038096077,0.00018365058,0.014377033,0.000023787003,0.000033449403,0.00019570488,0.00040872025,0.6223112,0.3527968,0.0074102543,0.0021382817,0.00008309735],"about_ca_topic_score_codex":0.0023513844,"about_ca_topic_score_gemma":0.002123349,"teacher_disagreement_score":0.0031945866,"about_ca_system_score_codex":0.0011823276,"about_ca_system_score_gemma":0.00033169074,"threshold_uncertainty_score":0.010686994},"labels":[],"label_agreement":null},{"id":"W2009171588","doi":"10.1006/jtbi.2001.2320","title":"Adaptive Value of Polymorphism in Intracellular Self/Not-self Discrimination?","year":2001,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"T-cell and B-cell Immunology","field":"Immunology and Microbiology","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Biology; Major histocompatibility complex; Intracellular; Antigen; Antigenicity; Genetics; Pathogen; Intracellular parasite; Immune system","score_opus":0.008808206511969185,"score_gpt":0.23429155768246163,"score_spread":0.22548335117049245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009171588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9403293,0.0005762173,0.020935379,0.011994446,0.00029805955,0.000008601563,0.000045226563,0.00005553871,0.0257573],"genre_scores_gemma":[0.9979278,0.00008963435,0.00089915085,0.00029947064,0.0001324462,0.000004697807,0.0000074508207,0.000009320937,0.00063004595],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995913,0.00017233675,0.000010044277,0.00007739911,0.000068849055,0.000080061756],"domain_scores_gemma":[0.99810815,0.0010224807,0.00017646953,0.00035796053,0.00011757222,0.00021740182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015059607,0.00018585238,0.0003978418,0.00022604888,0.00035017123,0.0010364298,0.00073204737,0.0012089452,0.005292463],"category_scores_gemma":[0.005430344,0.0001303955,0.00016897146,0.00017099518,0.0025709646,0.0031133194,0.0007438379,0.0015485885,0.00024723922],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048744844,0.0001559278,0.013198825,0.00010194126,0.000068877314,0.00053408305,0.0005107086,0.0062742233,0.023382442,0.9157665,0.0017882012,0.037730917],"study_design_scores_gemma":[0.00008449951,0.00012595205,0.008174508,0.000022545228,0.000031715343,0.00053495966,0.00037156834,0.020395441,0.0022637495,0.96590984,0.0020497344,0.00003552773],"about_ca_topic_score_codex":0.00015670194,"about_ca_topic_score_gemma":0.00018387519,"teacher_disagreement_score":0.005292463,"about_ca_system_score_codex":0.00040277038,"about_ca_system_score_gemma":0.00024575062,"threshold_uncertainty_score":0.017705083},"labels":[],"label_agreement":null},{"id":"W2009419750","doi":"10.1016/j.jtbi.2011.07.030","title":"Cooperation and evolutionary dynamics in the public goods game with institutional incentives","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Replicator equation; Incentive; Public goods game; Public good; Evolutionary game theory; Nash equilibrium; Strong reciprocity; Punishment (psychology); Evolutionary dynamics; Economics; Mathematical economics; Microeconomics; Evolutionarily stable strategy; Stability (learning theory); Dynamics (music); Game theory; Repeated game; Computer science; Psychology; Sociology; Social psychology","score_opus":0.019702718031118834,"score_gpt":0.27415975607293835,"score_spread":0.2544570380418195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009419750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73739666,0.0005040993,0.17851211,0.008659053,0.00008591835,0.00011219093,0.00012925554,0.00005686639,0.07454391],"genre_scores_gemma":[0.9913412,0.00015617936,0.00518051,0.00011676964,0.00003203897,0.000057677466,0.00002060409,0.000008906918,0.0030861793],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971476,0.0019480601,0.000079200756,0.0002335977,0.000224438,0.00036713155],"domain_scores_gemma":[0.9824735,0.013911763,0.0015050847,0.00062870287,0.0005776029,0.0009033278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004769773,0.00046581947,0.0010725055,0.00088165986,0.0014086532,0.0033420443,0.0013575365,0.0034470751,0.0058872467],"category_scores_gemma":[0.020317744,0.00045781926,0.00075110124,0.00077103754,0.0041198796,0.0050676693,0.002190287,0.0019226951,0.00033395528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009104348,0.000080618374,0.0016387687,0.00004504212,0.00003160043,0.00020213006,0.0004900573,0.044601563,0.0006485184,0.94706744,0.0007120856,0.00439123],"study_design_scores_gemma":[0.00010458147,0.000052820633,0.0012783239,0.000019644915,0.000021801772,0.0001586593,0.0003763195,0.15807348,0.00013468722,0.83868176,0.0010727878,0.000025202016],"about_ca_topic_score_codex":0.0021670132,"about_ca_topic_score_gemma":0.0014806131,"teacher_disagreement_score":0.0058872467,"about_ca_system_score_codex":0.0019257271,"about_ca_system_score_gemma":0.001548514,"threshold_uncertainty_score":0.025225282},"labels":[],"label_agreement":null},{"id":"W2010079023","doi":"10.1016/j.jtbi.2014.04.003","title":"Impact of visitors and hospital staff on nosocomial transmission and spread to community","year":2014,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Science Council","keywords":"Transmission (telecommunications); Health care; Population; Outbreak; Disease; Health facility; Basic reproduction number; Medicine; Medical emergency; Environmental health; Computer science; Telecommunications; Economics; Virology; Economic growth","score_opus":0.059663355048220866,"score_gpt":0.41878658216494563,"score_spread":0.3591232271167248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010079023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936702,0.0001992805,0.0008154565,0.0006480905,0.000018639836,0.000011175782,0.00012132093,0.0000069794073,0.0045088446],"genre_scores_gemma":[0.9990164,0.0000715209,0.00008050888,0.000015125815,0.000009688168,0.0000050012536,0.000025123492,0.0000020321743,0.0007745189],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9955401,0.0027770302,0.00009563465,0.00021274731,0.00042212,0.00095233327],"domain_scores_gemma":[0.9647825,0.025451351,0.0035220117,0.0011726086,0.001065244,0.004006389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004657185,0.00032849342,0.00062946964,0.0009586553,0.0009045407,0.0026090667,0.0010944981,0.0012474023,0.012938632],"category_scores_gemma":[0.03519125,0.0002994527,0.0008569652,0.0010478012,0.0018161702,0.0015299756,0.0024355252,0.0015570801,0.00036995288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025457044,0.001866193,0.89952147,0.00013596725,0.0005177649,0.0009930795,0.0034690255,0.01821459,0.0010604886,0.037716493,0.0018321704,0.03212701],"study_design_scores_gemma":[0.00018122868,0.0017399255,0.87630963,0.0001177732,0.0006875172,0.0006710461,0.01824012,0.055119608,0.0006184738,0.044667263,0.001553432,0.00009400666],"about_ca_topic_score_codex":0.015560067,"about_ca_topic_score_gemma":0.011165311,"teacher_disagreement_score":0.015560067,"about_ca_system_score_codex":0.0015775835,"about_ca_system_score_gemma":0.002053165,"threshold_uncertainty_score":0.043284},"labels":[],"label_agreement":null},{"id":"W2010162448","doi":"10.1016/j.jtbi.2004.02.011","title":"Proteomic analyser with applications to diagnostics and vaccines","year":2004,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Reagent; Context (archaeology); Matrix (chemical analysis); Analyser; Similarity (geometry); Computational biology; Chemistry; Computer science; Biological system; Chromatography; Biology; Artificial intelligence","score_opus":0.006098112393964651,"score_gpt":0.249493385926459,"score_spread":0.24339527353249435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010162448","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10369356,0.0074935225,0.81612265,0.002749263,0.0009277521,0.00094575086,0.011372488,0.036595568,0.020099472],"genre_scores_gemma":[0.14564084,0.0065195947,0.7626749,0.0041817785,0.0009334155,0.0018681489,0.013902944,0.0034803797,0.060797982],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986532,0.0001987906,0.00010042324,0.00036673908,0.0005948391,0.00008589056],"domain_scores_gemma":[0.99870586,0.0004586884,0.00013604797,0.00017565984,0.00038496172,0.00013873617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020087797,0.0017581133,0.0017002489,0.0032395213,0.001345007,0.0016812963,0.0012984526,0.0019219494,0.012607455],"category_scores_gemma":[0.0020158822,0.0011258567,0.0012369839,0.0015269193,0.00060547347,0.0017819675,0.0013083464,0.0021556972,0.008963965],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025144467,0.00007618623,0.00052819593,0.00017164266,0.00007790864,0.0001773327,0.0000497883,0.00019142425,0.9663367,0.0013429305,0.002580334,0.028216016],"study_design_scores_gemma":[0.00009834496,0.00036200692,0.006415671,0.000049662394,0.00018964677,0.0025835438,0.000063511536,0.014747026,0.9229075,0.0025396235,0.049929015,0.000114363625],"about_ca_topic_score_codex":0.00040198176,"about_ca_topic_score_gemma":0.0006284668,"teacher_disagreement_score":0.012607455,"about_ca_system_score_codex":0.0004488499,"about_ca_system_score_gemma":0.00072174775,"threshold_uncertainty_score":0.042176127},"labels":[],"label_agreement":null},{"id":"W2010620765","doi":"10.1016/j.jtbi.2005.07.019","title":"Modelling the compartmentalization of splicing factors","year":2005,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Mitacs; Alberta Cancer Foundation","keywords":"Compartmentalization (fire protection); Dephosphorylation; RNA splicing; Phosphorylation; Cell biology; Nucleus; Biology; Genetics; Gene; Biochemistry; RNA; Phosphatase","score_opus":0.01725847683888623,"score_gpt":0.30015192575638716,"score_spread":0.28289344891750096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010620765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64302427,0.0011941284,0.316455,0.0026065425,0.00017848653,0.00007031808,0.000726592,0.0004580164,0.03528668],"genre_scores_gemma":[0.96826273,0.0004187338,0.020657687,0.00009321561,0.000027051878,0.0000837185,0.00018679062,0.000115374954,0.010154672],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995677,0.00014498156,0.000020117885,0.000093854476,0.00005528771,0.00011804163],"domain_scores_gemma":[0.99742955,0.0017547876,0.0002137343,0.00018368362,0.00017223485,0.0002458915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010532491,0.00091954053,0.0013471761,0.0008273082,0.0009177991,0.0031272513,0.0027396232,0.0042927796,0.0059424834],"category_scores_gemma":[0.005605205,0.0013793324,0.0015906964,0.001120546,0.0022965665,0.0031530843,0.0015985247,0.0019077174,0.0008128998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008219726,0.00003379377,0.00056998123,0.00003431344,0.000018329427,0.00011608021,0.000078373276,0.9022225,0.001717568,0.09334814,0.000295316,0.0014833483],"study_design_scores_gemma":[0.000021525704,0.000007639858,0.000090672154,0.0000044260532,0.0000075207467,0.00001865111,0.00001762633,0.97933745,0.000262285,0.019846514,0.00037708884,0.00000865626],"about_ca_topic_score_codex":0.016827865,"about_ca_topic_score_gemma":0.0082814805,"teacher_disagreement_score":0.016827865,"about_ca_system_score_codex":0.0033460192,"about_ca_system_score_gemma":0.0018565385,"threshold_uncertainty_score":0.033459783},"labels":[],"label_agreement":null},{"id":"W2011133126","doi":"10.1006/jtbi.2000.2179","title":"Regulation of Competence Development in Haemophilus influenzae","year":2000,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biology; Gene; Competence (human resources); Regulator; Genetics; Regulatory sequence; Computational biology; Regulation of gene expression; Psychology","score_opus":0.006568799111385221,"score_gpt":0.23904309212129532,"score_spread":0.2324742930099101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011133126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832297,0.0033073735,0.0065666577,0.00032894904,0.00005526348,0.000039801715,0.00018837639,0.00015406728,0.006129858],"genre_scores_gemma":[0.9968953,0.00032608098,0.00096022314,0.000042568317,0.000008097882,0.000016923756,0.00014814167,0.00001951799,0.001583092],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997962,0.00003934639,0.000008750094,0.000029341154,0.000050922143,0.00007549923],"domain_scores_gemma":[0.9996455,0.00011226341,0.000048769583,0.000026190928,0.00007729966,0.000089990346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022800939,0.00032407232,0.00037133766,0.0003243202,0.0002992475,0.0007627277,0.0003538236,0.0003810054,0.0007820793],"category_scores_gemma":[0.00046780382,0.00018663693,0.00021530878,0.0000892001,0.00044277066,0.00028024652,0.000642922,0.00059797225,0.0004985128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010037806,0.000011368171,0.00022484211,0.000020385363,0.000002066274,0.00006626838,0.000032149004,0.00013668495,0.99746275,0.0005974425,0.00007600273,0.0012697385],"study_design_scores_gemma":[0.000031118037,0.00026103284,0.023336794,0.00002242199,0.000010029111,0.00027941752,0.0002613021,0.010021105,0.9615098,0.00095213053,0.003288562,0.000026333733],"about_ca_topic_score_codex":0.0031087247,"about_ca_topic_score_gemma":0.0020119185,"teacher_disagreement_score":0.0031087247,"about_ca_system_score_codex":0.0010490698,"about_ca_system_score_gemma":0.00023530087,"threshold_uncertainty_score":0.0076115727},"labels":[],"label_agreement":null},{"id":"W2011274750","doi":"10.1016/j.jtbi.2014.02.038","title":"Transmission potential of the novel avian influenza A(H7N9) infection in mainland China","year":2014,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China; International Development Research Centre","keywords":"Outbreak; Influenza A virus subtype H5N1; Transmission (telecommunications); Basic reproduction number; Virology; Human influenza; Avian influenza virus; Mainland China; Virus; Biology; Highly pathogenic; Influenza A virus; China; Environmental health; Coronavirus disease 2019 (COVID-19); Geography; Medicine; Computer science; Disease; Telecommunications; Population","score_opus":0.02096714425804172,"score_gpt":0.34347066356317674,"score_spread":0.322503519305135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011274750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99972206,0.00004209506,0.000032336433,0.00001984058,0.0000014096092,0.0000019971746,0.000020086864,6.0854416e-7,0.00015949082],"genre_scores_gemma":[0.99983144,0.000028755485,0.000018010638,0.0000046076616,0.0000023250607,0.0000011819286,0.000029849374,1.3331157e-7,0.000083594816],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987197,0.000023225497,0.000008741548,0.000028372904,0.000017884773,0.000049793573],"domain_scores_gemma":[0.99976784,0.000039167633,0.000061154096,0.000014215492,0.000046904886,0.00007065008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030515945,0.00024317512,0.00015330943,0.0005428057,0.00066714024,0.00030728543,0.00037008413,0.00024383518,0.0008141568],"category_scores_gemma":[0.0003207762,0.00017210733,0.00024102934,0.00032333474,0.00030324966,0.00041166556,0.0003837594,0.00019031894,0.000060809103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020954217,0.00007310752,0.9802219,0.00003894727,0.00009412785,0.0010612028,0.0009357682,0.001673921,0.00907679,0.00052942,0.00021388664,0.00587135],"study_design_scores_gemma":[0.0000119207925,0.00013092511,0.9928006,0.0000062389613,0.000047385834,0.0004019623,0.0010398225,0.004783824,0.00032076304,0.0002837616,0.00016253897,0.000010350023],"about_ca_topic_score_codex":0.037012573,"about_ca_topic_score_gemma":0.035831053,"teacher_disagreement_score":0.037012573,"about_ca_system_score_codex":0.001092953,"about_ca_system_score_gemma":0.0008192382,"threshold_uncertainty_score":0.07359427},"labels":[],"label_agreement":null},{"id":"W2011943212","doi":"10.1006/jtbi.2003.3187","title":"Responses of Ca2+-binding Proteins to Localized, Transient Changes in Intracellular [Ca2+]","year":2003,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Ion channel regulation and function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Intracellular; Biophysics; Binding site; Chemistry; Kinetics; Cell biology; Biology; Biochemistry; Physics","score_opus":0.012706973625479397,"score_gpt":0.26605983470436645,"score_spread":0.25335286107888705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011943212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953622,0.0003142291,0.002448511,0.00024033575,0.000043825614,0.000021341388,0.000103577695,0.0001185415,0.0013474628],"genre_scores_gemma":[0.99746394,0.0001452032,0.0007301144,0.00015748048,0.000017101542,0.000024859448,0.00019456854,0.00003856061,0.0012280381],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997739,0.000032587886,0.00000852836,0.000055131666,0.000041542247,0.00008819388],"domain_scores_gemma":[0.99921346,0.00039907475,0.00006057466,0.00006165292,0.00006500361,0.0002001525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004049726,0.00033149883,0.00048132113,0.00026420233,0.00041498867,0.00063117634,0.00062290486,0.0007198327,0.0034733845],"category_scores_gemma":[0.0015663458,0.00035495375,0.00032884846,0.00030846894,0.0007932758,0.00044460894,0.00042684295,0.0009811172,0.0004564297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012886783,0.000091700924,0.00039562304,0.000058651884,0.00001862296,0.000102043414,0.00006756484,0.0009905268,0.9945845,0.0006526507,0.00023167866,0.0015177652],"study_design_scores_gemma":[0.00029877434,0.0005047338,0.018399093,0.000010960065,0.000038912207,0.00036479955,0.00019689652,0.051600117,0.9260147,0.0014342202,0.0010946362,0.000042109335],"about_ca_topic_score_codex":0.0017030531,"about_ca_topic_score_gemma":0.001138412,"teacher_disagreement_score":0.0034733845,"about_ca_system_score_codex":0.0011251518,"about_ca_system_score_gemma":0.00025775807,"threshold_uncertainty_score":0.011619568},"labels":[],"label_agreement":null},{"id":"W2011997823","doi":"10.1016/j.jtbi.2009.05.026","title":"Sub-optimal pit construction in predatory ant lion larvae (Myrmeleon sp.)","year":2009,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Circumference; Foraging; Angle of repose; Competition (biology); Ecology; Optimal foraging theory; Population; Biology; Substrate (aquarium); Mathematics; Geology; Geometry; Geotechnical engineering; Demography","score_opus":0.004602022894216447,"score_gpt":0.24662852923617545,"score_spread":0.24202650634195902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011997823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996606,0.000037907783,0.00013599076,0.0000125317065,0.0000010204477,0.0000011216579,0.000009018496,0.000004635268,0.0001370733],"genre_scores_gemma":[0.9994879,0.00002035542,0.00021573003,0.00001107351,5.522538e-7,0.0000030803446,0.00002383776,0.0000049915843,0.00023232226],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99994123,0.000008571464,0.0000033629842,0.000012452865,0.000010323965,0.000024087274],"domain_scores_gemma":[0.9997712,0.00004356693,0.00006926829,0.000013964964,0.000020084786,0.00008192978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008747538,0.00010337817,0.00016144755,0.00013727033,0.00026307072,0.00033304692,0.00020522965,0.0003305817,0.00086890365],"category_scores_gemma":[0.00033267785,0.00024484695,0.00010392723,0.000048806603,0.00034095926,0.0002555582,0.0004062525,0.00036722966,0.00011271254],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052860595,0.000086446176,0.014185022,0.00005717875,0.00001162998,0.00017588225,0.000110365756,0.0016232117,0.9776989,0.0005816338,0.00016733001,0.0047738655],"study_design_scores_gemma":[0.00011333778,0.0015226611,0.71310085,0.000035854562,0.00005672569,0.0011435696,0.0015129022,0.046964016,0.23104009,0.0032526383,0.001200493,0.00005684928],"about_ca_topic_score_codex":0.0022815848,"about_ca_topic_score_gemma":0.007777264,"teacher_disagreement_score":0.0022815848,"about_ca_system_score_codex":0.0004758754,"about_ca_system_score_gemma":0.00036138037,"threshold_uncertainty_score":0.0045366287},"labels":[],"label_agreement":null},{"id":"W2012940902","doi":"10.1016/j.jtbi.2006.06.009","title":"Additive genetic variation and the distribution of QTN effects among sites","year":2006,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Quantitative trait locus; Genetic variation; Biology; Genetics; Gene","score_opus":0.001969725645659495,"score_gpt":0.2034956479216618,"score_spread":0.2015259222760023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012940902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98690075,0.000116909556,0.011959881,0.00009756204,0.000009971744,0.0000052657306,0.00009253847,0.000035398178,0.0007816919],"genre_scores_gemma":[0.9986299,0.00005241118,0.0009526611,0.000014572961,0.000010523974,0.0000045500306,0.00004986446,0.000011603397,0.0002739968],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972439,0.0015634367,0.00010548091,0.0006420633,0.00022777163,0.00021742663],"domain_scores_gemma":[0.9866955,0.010742434,0.0006614634,0.000889041,0.0006043634,0.00040717918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004783544,0.00038646403,0.0007227296,0.0016391815,0.0005858252,0.001040362,0.0011481526,0.0008755519,0.0031888266],"category_scores_gemma":[0.012495611,0.0006182825,0.0005778816,0.0016350821,0.0022659947,0.0010733554,0.0009264258,0.00092842017,0.00025626042],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032524283,0.00044769727,0.650277,0.0002557301,0.002463089,0.0030251907,0.0038382257,0.08816479,0.10801178,0.082030915,0.00062545075,0.057607763],"study_design_scores_gemma":[0.00025145567,0.00036348696,0.83662957,0.00003043346,0.0007601643,0.0013511867,0.00079200545,0.10295369,0.0026913949,0.05338141,0.00066300045,0.00013214299],"about_ca_topic_score_codex":0.0031569775,"about_ca_topic_score_gemma":0.003901142,"teacher_disagreement_score":0.004783544,"about_ca_system_score_codex":0.0005591689,"about_ca_system_score_gemma":0.00027561263,"threshold_uncertainty_score":0.025298059},"labels":[],"label_agreement":null},{"id":"W2013042017","doi":"10.1016/j.jtbi.2014.09.019","title":"The origin and spread of a cooperative replicase in a prebiotic chemical system","year":2014,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Origins and Evolution of Life","field":"Physics and Astronomy","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Prebiotic; Biology; RNA-dependent RNA polymerase; Evolutionary biology; Abiogenesis; Ecology; Astrobiology; Genetics; RNA","score_opus":0.0061490225424374375,"score_gpt":0.26050077531809945,"score_spread":0.254351752775662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013042017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9571018,0.00055554596,0.03257519,0.0016474465,0.00025142694,0.00005467711,0.000053747757,0.00016096696,0.0075992495],"genre_scores_gemma":[0.9946301,0.000116293886,0.003971849,0.00006728084,0.00003322176,0.000020703303,0.000015723994,0.000018881878,0.0011259746],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962103,0.00010081029,0.000022746599,0.00008238748,0.00009356269,0.00007948222],"domain_scores_gemma":[0.9953609,0.0026386534,0.0002553872,0.0008054937,0.00031849416,0.0006211446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014176611,0.00026869462,0.00087001425,0.0006765569,0.0019791366,0.0020203874,0.0017546513,0.0029519924,0.0028088922],"category_scores_gemma":[0.009926188,0.0006769958,0.00068921305,0.00033308406,0.0034654138,0.0027511287,0.0017996706,0.0021419015,0.0004660968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046473346,0.00036812088,0.010938348,0.00034651844,0.00014298869,0.0036987462,0.004123911,0.09829299,0.13887656,0.7250104,0.0027608818,0.01497583],"study_design_scores_gemma":[0.00040161732,0.00036487656,0.0057062553,0.000052763586,0.000084054474,0.0013339865,0.0011423806,0.5444524,0.017398147,0.4242917,0.0045664106,0.00020543087],"about_ca_topic_score_codex":0.0013069541,"about_ca_topic_score_gemma":0.00070194027,"teacher_disagreement_score":0.0029519924,"about_ca_system_score_codex":0.0010241405,"about_ca_system_score_gemma":0.0009265022,"threshold_uncertainty_score":0.009396732},"labels":[],"label_agreement":null},{"id":"W2013344704","doi":"10.1016/j.jtbi.2013.08.014","title":"Coevolution of risk perception, sexual behaviour, and HIV transmission in an agent-based model","year":2013,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Adolescent Sexual and Reproductive Health","field":"Health Professions","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Population; Demography; Context (archaeology); Transmission (telecommunications); Risk perception; Perception; Human immunodeficiency virus (HIV); Sexual transmission; Coevolution; Men who have sex with men; Social psychology; Psychology; Biology; Immunology; Ecology; Computer science","score_opus":0.05154778243291735,"score_gpt":0.4091400462650035,"score_spread":0.35759226383208614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013344704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9456161,0.00023362318,0.037193626,0.0027005768,0.000038783986,0.00006270379,0.00027467616,0.000059061138,0.013820782],"genre_scores_gemma":[0.9923167,0.00015122438,0.0032674964,0.00012337089,0.00001836825,0.000040733055,0.00005723939,0.000010451102,0.004014351],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990625,0.00060323987,0.000029944755,0.00011811144,0.00006782188,0.00011857213],"domain_scores_gemma":[0.99449474,0.004260344,0.0004904592,0.00017405202,0.00017833986,0.00040206301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002282371,0.0007277726,0.001386557,0.0010070495,0.0011829834,0.003340577,0.0019843453,0.0027613423,0.0076861125],"category_scores_gemma":[0.008308577,0.000767537,0.0007961953,0.00071123877,0.001553068,0.002806677,0.0015844489,0.0015495531,0.0006584674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054978457,0.0009080048,0.046521384,0.00009837842,0.0005533045,0.0011372474,0.0014809838,0.7926898,0.0016418968,0.14483353,0.0012533766,0.008332246],"study_design_scores_gemma":[0.00014222354,0.00015518344,0.0043907147,0.000014539404,0.000097002,0.00016449236,0.00031308,0.9719945,0.000051023828,0.022250503,0.00038468093,0.000041963372],"about_ca_topic_score_codex":0.01753811,"about_ca_topic_score_gemma":0.00957847,"teacher_disagreement_score":0.01753811,"about_ca_system_score_codex":0.0013780594,"about_ca_system_score_gemma":0.0010826023,"threshold_uncertainty_score":0.034872055},"labels":[],"label_agreement":null},{"id":"W2014344069","doi":"10.1016/j.jtbi.2009.08.007","title":"Epidemics with general generation interval distributions","year":2009,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; BC Centre for Disease Control","funders":"Canadian Institutes of Health Research","keywords":"Interval (graph theory); Statistics; Mathematics; Combinatorics","score_opus":0.14441874136440092,"score_gpt":0.42864571562600573,"score_spread":0.2842269742616048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014344069","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3020297,0.0027829278,0.66121024,0.005456574,0.00027563615,0.00012423136,0.00049132394,0.0003550269,0.027274368],"genre_scores_gemma":[0.9661261,0.002205098,0.01980907,0.00032486196,0.00046399346,0.000112437614,0.00027047523,0.0000738958,0.010614091],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99795085,0.0010648736,0.00010584358,0.00028285853,0.0003198465,0.00027570705],"domain_scores_gemma":[0.9625669,0.030918565,0.002665972,0.0017690852,0.0012982154,0.00078127265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006083041,0.0008651134,0.001515458,0.0026320345,0.0008000074,0.0034538615,0.00253941,0.00261618,0.006274536],"category_scores_gemma":[0.040947396,0.00087327324,0.0015857492,0.0020349321,0.0025529359,0.009240278,0.0023992234,0.0031737837,0.0006064166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054422133,0.000038132814,0.0012419468,0.00006442204,0.00003834586,0.0002727953,0.00035098568,0.029215299,0.0003151945,0.96264976,0.0011645623,0.0045941565],"study_design_scores_gemma":[0.00007099905,0.00003333986,0.0008448627,0.00002815144,0.000036877365,0.0004945911,0.00015376153,0.22490184,0.00010912438,0.7722126,0.0010825184,0.0000313586],"about_ca_topic_score_codex":0.0013671195,"about_ca_topic_score_gemma":0.0005143008,"teacher_disagreement_score":0.006274536,"about_ca_system_score_codex":0.0011619123,"about_ca_system_score_gemma":0.00062004133,"threshold_uncertainty_score":0.032170594},"labels":[],"label_agreement":null},{"id":"W2014619094","doi":"10.1016/j.jtbi.2014.10.036","title":"On high heels and short muscles: A multiscale model for sarcomere loss in the gastrocnemius muscle","year":2014,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Tendon Structure and Treatment","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Heart, Lung, and Blood Institute; Natural Sciences and Engineering Research Council of Canada; National Institute of Biomedical Imaging and Bioengineering; Stanford Engineering; GE Healthcare; Division of Civil, Mechanical and Manufacturing Innovation; National Institutes of Health; National Science Foundation","keywords":"Sarcomere; Muscle architecture; Medicine; Heel; Anatomy; Gastrocnemius muscle; Contracture; Physical medicine and rehabilitation; Muscle atrophy; Skeletal muscle; Tendon; Internal medicine; Surgery; Myocyte","score_opus":0.011513232958086046,"score_gpt":0.2910258649102851,"score_spread":0.27951263195219905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014619094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5185735,0.0024698982,0.45132154,0.0063033267,0.00043140334,0.000096006836,0.0005962332,0.00034820221,0.019859776],"genre_scores_gemma":[0.97756165,0.00079338683,0.007953011,0.00041100002,0.00018152538,0.00007647866,0.0001359299,0.00010379307,0.01278322],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980134,0.000059685368,0.000011293628,0.00004884487,0.000033579934,0.000045215584],"domain_scores_gemma":[0.9993975,0.00019114485,0.000104235325,0.000050251703,0.00007417809,0.00018266376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063879497,0.0010146159,0.0015501367,0.00069309823,0.00068593636,0.0015374303,0.0023851932,0.004766847,0.0029193857],"category_scores_gemma":[0.0018561576,0.00087487436,0.0013145411,0.00048049344,0.002075896,0.0015464931,0.0017630173,0.0015459388,0.00032263112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007814418,0.00009111651,0.0010105006,0.00008112405,0.000062581676,0.0003534727,0.0001254142,0.9382375,0.0048435014,0.051248938,0.0011011612,0.0027666376],"study_design_scores_gemma":[0.000010799221,0.000013005419,0.0003655262,0.000006242199,0.000009825098,0.0000227839,0.000015719203,0.9937185,0.000042065927,0.0056707016,0.00011410205,0.000010716377],"about_ca_topic_score_codex":0.016456138,"about_ca_topic_score_gemma":0.010828736,"teacher_disagreement_score":0.016456138,"about_ca_system_score_codex":0.0008505094,"about_ca_system_score_gemma":0.0008856374,"threshold_uncertainty_score":0.032720685},"labels":[],"label_agreement":null},{"id":"W2015025231","doi":"10.1016/j.jtbi.2011.10.025","title":"Animal social networks as substrate for cultural behavioural diversity","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Killam Trusts","keywords":"Diversity (politics); Social learning; Modularity (biology); Population; Categorical variable; Cultural transmission in animals; Psychology; Structuring; Social psychology; Cognitive psychology; Mathematics; Statistics; Biology; Sociology; Evolutionary biology; Demography","score_opus":0.06992058266769478,"score_gpt":0.3369907225221836,"score_spread":0.2670701398544888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015025231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9822276,0.00009967785,0.008096313,0.00041675192,0.000009220482,0.000009414974,0.00005513166,0.000016504391,0.009069283],"genre_scores_gemma":[0.9992335,0.000016738213,0.000563354,0.000010636717,0.0000030781982,0.000003781269,0.000009220246,0.0000028648547,0.00015680707],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994186,0.0002967599,0.000023395169,0.00009975729,0.00008898562,0.000072531795],"domain_scores_gemma":[0.99309456,0.0038760728,0.0011680076,0.0007758831,0.00041285672,0.00067264255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000907359,0.00015606984,0.00029227373,0.0011689439,0.00070423045,0.0020125704,0.0004960433,0.0008811019,0.003798073],"category_scores_gemma":[0.008611802,0.00030053925,0.00021059351,0.00056372123,0.0019872917,0.0020046083,0.00147984,0.0005704587,0.00017166663],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000541776,0.00034188092,0.29895523,0.00034241704,0.0005511483,0.0019640839,0.0076894728,0.02728314,0.04912448,0.5454497,0.0019570284,0.06579968],"study_design_scores_gemma":[0.00009578319,0.0002686452,0.34665594,0.00008743261,0.0002596397,0.0016942305,0.0070578805,0.08801662,0.004133484,0.5475387,0.004086079,0.00010548115],"about_ca_topic_score_codex":0.0006326977,"about_ca_topic_score_gemma":0.0011439201,"teacher_disagreement_score":0.003798073,"about_ca_system_score_codex":0.0005636767,"about_ca_system_score_gemma":0.0002594015,"threshold_uncertainty_score":0.012705803},"labels":[],"label_agreement":null},{"id":"W2016407072","doi":"10.1016/j.jtbi.2009.03.029","title":"A comparative evaluation of modelling strategies for the effect of treatment and host interactions on the spread of drug resistance","year":2009,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg; University of Manitoba; National Research Council Canada; National Research Council Institute for Biodiagnostics","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Population; Basic reproduction number; Biology; Epidemic model; Drug resistance; Infectious disease (medical specialty); Disease; Econometrics; Computer science; Mathematics; Genetics; Demography; Medicine","score_opus":0.02326649022406861,"score_gpt":0.34856568581309466,"score_spread":0.32529919558902604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016407072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93813354,0.00092093414,0.047020312,0.0016637798,0.000080399754,0.00016622555,0.0005273451,0.00016068721,0.011326808],"genre_scores_gemma":[0.9909677,0.0002741634,0.0072120246,0.00006535949,0.000017858769,0.00010084792,0.000109466884,0.000032889337,0.001219705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857914,0.0010864724,0.000050009647,0.0000990024,0.00007856031,0.00010684007],"domain_scores_gemma":[0.96285,0.034560736,0.0009047022,0.00045412566,0.0008784954,0.00035191278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004770461,0.0011077076,0.0014551136,0.0012860837,0.000573633,0.001779988,0.0018793769,0.0026679807,0.0032058065],"category_scores_gemma":[0.023196762,0.00058784464,0.0015501523,0.00070526544,0.0008135205,0.0016055722,0.00071278657,0.0010116912,0.00021342858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002309352,0.00008812964,0.0012883277,0.00004766086,0.00005662383,0.00002388434,0.000045353052,0.99212027,0.00024075857,0.002877712,0.00012455965,0.0028557857],"study_design_scores_gemma":[0.000093143724,0.000170599,0.00071221794,0.000011697205,0.00007540887,0.000014669777,0.000039957366,0.9971312,0.0001623842,0.0014278401,0.00014412781,0.00001666173],"about_ca_topic_score_codex":0.023289094,"about_ca_topic_score_gemma":0.011056701,"teacher_disagreement_score":0.023289094,"about_ca_system_score_codex":0.0024827633,"about_ca_system_score_gemma":0.0016025961,"threshold_uncertainty_score":0.046307027},"labels":[],"label_agreement":null},{"id":"W2017186663","doi":"10.1016/j.jtbi.2013.06.005","title":"Is feedback control effective for ecosystem-based fisheries management?","year":2013,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada","keywords":"Fishing; Predation; Robustness (evolution); Ecosystem; Fisheries management; Predator; Abundance (ecology); Population; Ecology; Fishery; Environmental science; Biology","score_opus":0.011320189004144502,"score_gpt":0.27922600499023703,"score_spread":0.26790581598609253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017186663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7754146,0.0068467227,0.16307382,0.022909844,0.0012295415,0.0001032306,0.00023805333,0.0005261877,0.029658101],"genre_scores_gemma":[0.99747556,0.00041478183,0.0013317841,0.00021940221,0.00010335204,0.000014500473,0.000010192457,0.000008680969,0.00042174425],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984731,0.0005176594,0.000083501545,0.0002615207,0.00031245113,0.0003516938],"domain_scores_gemma":[0.981202,0.014387447,0.0019038072,0.00097566436,0.0010004049,0.0005306508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041296203,0.00063954724,0.0007856183,0.00084982725,0.0006539452,0.0021318407,0.0010070968,0.002375627,0.0062633133],"category_scores_gemma":[0.037114047,0.00033146347,0.00058163604,0.000365463,0.0024576997,0.0050982945,0.0010613261,0.0010729705,0.00030367178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025200066,0.001515721,0.05142431,0.0015095309,0.0011754591,0.0007374786,0.00086342177,0.10973998,0.013611302,0.2880455,0.0081428,0.5207145],"study_design_scores_gemma":[0.00068681815,0.0009432166,0.025214419,0.00035246977,0.0005363979,0.0005082816,0.0010294523,0.2482057,0.0044102487,0.7140013,0.004014836,0.00009673581],"about_ca_topic_score_codex":0.0019048877,"about_ca_topic_score_gemma":0.0012097573,"teacher_disagreement_score":0.0062633133,"about_ca_system_score_codex":0.0010119303,"about_ca_system_score_gemma":0.0009355008,"threshold_uncertainty_score":0.021839797},"labels":[],"label_agreement":null},{"id":"W2017277915","doi":"10.1016/j.jtbi.2010.09.005","title":"A game dynamic model for delayer strategies in vaccinating behaviour for pediatric infectious diseases","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada","keywords":"Measles; Vaccination; Rubella; Rubella vaccine; Medicine; Disease; Demography; Environmental health; Immunology","score_opus":0.024281294126696024,"score_gpt":0.398896918664946,"score_spread":0.3746156245382499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017277915","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39749455,0.0009927972,0.5106033,0.009309628,0.00037855908,0.00046461853,0.00216368,0.00032732642,0.078265496],"genre_scores_gemma":[0.9443727,0.0004457602,0.015653552,0.00041448144,0.00008473475,0.00028978082,0.00030778538,0.000059241775,0.03837191],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901056,0.0004514924,0.000030970452,0.00016581819,0.000096425254,0.0002446291],"domain_scores_gemma":[0.99557036,0.003351011,0.00031892562,0.00008989725,0.00028036724,0.00038953437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018966664,0.001393274,0.0021501551,0.0012727566,0.0010514621,0.0029715819,0.0028060873,0.004647434,0.0147001725],"category_scores_gemma":[0.00908444,0.001057628,0.0012036263,0.00096867763,0.0016400222,0.0028579852,0.001489938,0.0029485882,0.0012096456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021555452,0.0002247607,0.0022298917,0.00013327951,0.00012616931,0.0005204385,0.00039978253,0.69892085,0.0012436158,0.28681666,0.0034348401,0.0057342136],"study_design_scores_gemma":[0.00009739936,0.000091466725,0.00051170145,0.000014104451,0.000045305922,0.00010219248,0.0001312081,0.95895284,0.000058695394,0.038914002,0.0010492415,0.000031902062],"about_ca_topic_score_codex":0.026179668,"about_ca_topic_score_gemma":0.014674186,"teacher_disagreement_score":0.026179668,"about_ca_system_score_codex":0.0032194285,"about_ca_system_score_gemma":0.0023799038,"threshold_uncertainty_score":0.052054584},"labels":[],"label_agreement":null},{"id":"W2017321829","doi":"10.1016/j.jtbi.2006.11.011","title":"Modeling human mortality using mixtures of bathtub shaped failure distributions","year":2006,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":77,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Massey University","keywords":"Weibull distribution; Statistics; Gompertz function; Mathematics; Hazard; Life expectancy; Econometrics; Mortality rate; Reliability (semiconductor); Failure rate; Accelerated failure time model; Survival analysis; Demography; Biology; Medicine; Population; Ecology; Internal medicine","score_opus":0.02686604719784424,"score_gpt":0.3504633948582426,"score_spread":0.3235973476603984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017321829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59702814,0.0006309743,0.3984874,0.0011729704,0.00014173135,0.0000765829,0.00048193158,0.0003245377,0.0016556702],"genre_scores_gemma":[0.9798869,0.00033070942,0.014095514,0.00010423243,0.000081277925,0.000110956746,0.00026631178,0.00005153044,0.005072546],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882144,0.00063965993,0.00005063933,0.00022202589,0.00007906346,0.00018720079],"domain_scores_gemma":[0.98648876,0.010983917,0.00092414004,0.0004178988,0.0005642226,0.00062107324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00617605,0.0010943864,0.0019791326,0.0017962105,0.0008629419,0.0022124345,0.002804936,0.0035646202,0.0028627247],"category_scores_gemma":[0.01811865,0.0018975936,0.0019793701,0.0013553784,0.0021993364,0.003398894,0.0022896565,0.0025611133,0.00046388683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015564884,0.00005374122,0.0059939176,0.000018874194,0.0000923473,0.00008428075,0.0001311375,0.9764654,0.00016891753,0.013612351,0.00032908563,0.0028942763],"study_design_scores_gemma":[0.000015780653,0.000017641718,0.0005925525,0.0000052304613,0.000014969761,0.000012522754,0.000020729969,0.99335575,0.000034697234,0.0058595915,0.000060229035,0.000010451764],"about_ca_topic_score_codex":0.016134681,"about_ca_topic_score_gemma":0.011856159,"teacher_disagreement_score":0.016134681,"about_ca_system_score_codex":0.0013713888,"about_ca_system_score_gemma":0.0008696976,"threshold_uncertainty_score":0.03266251},"labels":[],"label_agreement":null},{"id":"W2017732212","doi":"10.1006/jtbi.2001.2429","title":"Modelling Perspectives on Aging: Can Mathematics Help us Stay Young?","year":2001,"lang":"en","type":"review","venue":"Journal of Theoretical Biology","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; BC Cancer Agency; University of Toronto; University of British Columbia Hospital","funders":"National Institute of Allergy and Infectious Diseases","keywords":"Nonlinear system; Class (philosophy); Telomere; Simple (philosophy); Population; Age structure; Applied mathematics; Computer science; Biology; Mathematics; Artificial intelligence; Medicine; Genetics; Physics","score_opus":0.054478627709485465,"score_gpt":0.3584029957615799,"score_spread":0.30392436805209444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017732212","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003503155,0.86500925,0.064610235,0.044802852,0.0026760914,0.000013656276,0.00008559773,0.0001707084,0.019128539],"genre_scores_gemma":[0.051502008,0.91990405,0.017402453,0.002604435,0.0035734174,0.000055106688,0.000088488814,0.000038149486,0.004831814],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996371,0.00020761807,0.000024128083,0.000037353704,0.00008045341,0.0000133616195],"domain_scores_gemma":[0.9965617,0.0027964413,0.00012315308,0.0001586631,0.0002723576,0.00008758466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021183416,0.0014386291,0.002391334,0.0012076838,0.0004540836,0.002070948,0.0022063744,0.0026013302,0.0033143389],"category_scores_gemma":[0.0048082075,0.000354556,0.00064513594,0.0014111679,0.0029609462,0.005003298,0.0009871841,0.0037614466,0.0011500097],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061896375,0.00010734207,0.00065438205,0.003270937,0.00016011564,0.00015601983,0.0005227403,0.0294019,0.00046746706,0.6079097,0.041775774,0.31551176],"study_design_scores_gemma":[0.00002062358,0.000033607066,0.000202652,0.0007596921,0.00003296786,0.00013951918,0.00021841907,0.010503185,0.00013061144,0.8591972,0.12873213,0.000029437433],"about_ca_topic_score_codex":0.0023514347,"about_ca_topic_score_gemma":0.0023157408,"teacher_disagreement_score":0.0033143389,"about_ca_system_score_codex":0.0013921461,"about_ca_system_score_gemma":0.0012606719,"threshold_uncertainty_score":0.011202931},"labels":[],"label_agreement":null},{"id":"W2019354814","doi":"10.1016/j.jtbi.2009.02.022","title":"Kinetic metabolic modelling for the control of plant cells cytoplasmic phosphate","year":2009,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Plant nutrient uptake and metabolism","field":"Agricultural and Biological Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Cytoplasm; Phosphate; Metabolic control analysis; Cell biology; Biology; Biophysics; Biochemistry; Biological system; Chemistry; Biotechnology","score_opus":0.013908777100952133,"score_gpt":0.21538795281127165,"score_spread":0.20147917571031954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019354814","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20315316,0.0020214433,0.7683764,0.0015030992,0.00031443362,0.000096176,0.00051438936,0.0003181859,0.023702752],"genre_scores_gemma":[0.97864735,0.0006270397,0.012350912,0.00007660114,0.000041853404,0.00013954089,0.00016191704,0.000072145915,0.007882595],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983513,0.00006466233,0.000010902625,0.00002825532,0.000037709255,0.000023411396],"domain_scores_gemma":[0.9994197,0.0003879108,0.000049764123,0.000024701581,0.000079373654,0.000038598944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006271821,0.0009800778,0.0012741133,0.00040205228,0.0004895864,0.0014698299,0.0013953103,0.0014930157,0.0023475003],"category_scores_gemma":[0.0017623235,0.00051833165,0.0010903027,0.00057680986,0.00094786554,0.0010688748,0.00075970247,0.0010182918,0.00036015836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043352968,0.000014587524,0.000106098916,0.000041898333,0.000013939996,0.000038647875,0.000026804884,0.9782275,0.0032397653,0.016891424,0.000121256395,0.0012347309],"study_design_scores_gemma":[0.000007198312,0.000005882284,0.00003270238,0.0000011953252,0.000002866698,0.000003915469,0.0000029131834,0.99675936,0.00020348822,0.0028511013,0.00012528371,0.000004097502],"about_ca_topic_score_codex":0.011391496,"about_ca_topic_score_gemma":0.004308295,"teacher_disagreement_score":0.011391496,"about_ca_system_score_codex":0.0014272016,"about_ca_system_score_gemma":0.00096390134,"threshold_uncertainty_score":0.022650361},"labels":[],"label_agreement":null},{"id":"W2019584977","doi":"10.1006/jtbi.2000.2034","title":"Modeling Complex Neutrophil Dynamics in the Grey Collie","year":2000,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Blood disorders and treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":69,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"U.S. Public Health Service","keywords":"Neutropenia; Peripheral; Granulocyte; Interfacing; Absolute neutrophil count; Biology; Population; Immunology; Biological system; Computer science; Medicine; Internal medicine; Genetics","score_opus":0.00992206391933256,"score_gpt":0.26084791784225203,"score_spread":0.2509258539229195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019584977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8483732,0.0012744766,0.11030579,0.005611959,0.00036727844,0.000105561376,0.0007785988,0.00026363294,0.032919373],"genre_scores_gemma":[0.9852121,0.00035064935,0.0036549722,0.00031188378,0.00006381932,0.000058795475,0.00013679695,0.000059014168,0.010152066],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996885,0.0000906282,0.000010666067,0.000058768866,0.000036719073,0.00011464894],"domain_scores_gemma":[0.99803835,0.0010218843,0.0002478701,0.0000741389,0.00018462967,0.00043318828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079650106,0.0006854286,0.0017478,0.00080882857,0.0009911952,0.0020550808,0.002147879,0.0039392165,0.005418973],"category_scores_gemma":[0.004505124,0.0010506205,0.0009668662,0.00061483926,0.002606477,0.0017001332,0.00248207,0.0017501002,0.0004294387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006934953,0.000033629785,0.0012485558,0.000021082024,0.000024166373,0.00020962626,0.000068934445,0.9765054,0.00055910816,0.020121295,0.00059773034,0.0005411677],"study_design_scores_gemma":[0.000019429932,0.000010482661,0.00024737182,0.00000395195,0.000006817439,0.000013006279,0.000025158062,0.9966221,0.000036227197,0.0028837288,0.00012373457,0.000008043202],"about_ca_topic_score_codex":0.056067467,"about_ca_topic_score_gemma":0.023522424,"teacher_disagreement_score":0.056067467,"about_ca_system_score_codex":0.0019213704,"about_ca_system_score_gemma":0.0018440597,"threshold_uncertainty_score":0.11148226},"labels":[],"label_agreement":null},{"id":"W2019622837","doi":"10.1006/jtbi.2000.1071","title":"A Simplified Approach for Modeling Diffusion into Cells","year":2000,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Legume Nitrogen Fixing Symbiosis","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Biological system; Representation (politics); Diffusion; Computer science; Statistical physics; Mechanics; Physics; Thermodynamics; Biology","score_opus":0.013532803229831582,"score_gpt":0.23459830446185273,"score_spread":0.22106550123202115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019622837","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020934394,0.0009809413,0.9544509,0.001494579,0.00029972763,0.00009381687,0.0005129881,0.0002340534,0.020998541],"genre_scores_gemma":[0.62910134,0.0030935605,0.30279905,0.0012294543,0.00053843786,0.00094300637,0.0008870163,0.00050113315,0.06090695],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996338,0.00011709749,0.000023472223,0.00006757888,0.000102934406,0.00005507365],"domain_scores_gemma":[0.999166,0.0003713633,0.000056839828,0.00011912474,0.00019641324,0.00009030499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074263103,0.0010521173,0.0017169643,0.0009755749,0.0014674587,0.0019465624,0.0031051328,0.004411843,0.00695419],"category_scores_gemma":[0.0030233848,0.0009182447,0.0018881784,0.0012464266,0.0013570886,0.0028364193,0.001782086,0.002239616,0.0014469775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002182546,0.000041040148,0.00030051812,0.00007194766,0.00003814179,0.00015202236,0.00011602004,0.739269,0.0027973729,0.25122657,0.0015596802,0.004405908],"study_design_scores_gemma":[0.000013155366,0.0000075425346,0.000055254215,0.0000055107994,0.000011701697,0.000030543273,0.000012019785,0.96541417,0.00015855202,0.03237226,0.0019076742,0.000011623318],"about_ca_topic_score_codex":0.022945536,"about_ca_topic_score_gemma":0.009504338,"teacher_disagreement_score":0.022945536,"about_ca_system_score_codex":0.002022496,"about_ca_system_score_gemma":0.001605638,"threshold_uncertainty_score":0.045623958},"labels":[],"label_agreement":null},{"id":"W2019858673","doi":"10.1016/j.jtbi.2008.05.031","title":"Modeling amantadine treatment of influenza A virus in vitro","year":2008,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":156,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Institute of Allergy and Infectious Diseases","keywords":"Amantadine; In vivo; Infectivity; In vitro; Virus; Virology; Influenza A virus; Biology; Orthomyxoviridae","score_opus":0.09753837183089412,"score_gpt":0.4035020039366982,"score_spread":0.30596363210580413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019858673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94336945,0.0008939144,0.02460377,0.00089529227,0.000118145515,0.00006988483,0.00087045314,0.00013870321,0.029040402],"genre_scores_gemma":[0.990637,0.00052831665,0.0035758165,0.00009406427,0.0000189976,0.00006828855,0.00027275254,0.000028768203,0.0047759875],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998647,0.000040193696,0.000006356831,0.000024570358,0.000024278594,0.0000398408],"domain_scores_gemma":[0.99957234,0.0002898974,0.000046934907,0.00001835146,0.000050266,0.000022232794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022622418,0.0004987174,0.000687531,0.00025769667,0.00047954032,0.0007192211,0.00096854236,0.001370054,0.003225077],"category_scores_gemma":[0.0008563934,0.0004283895,0.0008656444,0.00024075968,0.00042498403,0.00067071285,0.0002900997,0.00062681426,0.00038764995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005912474,0.000054256532,0.000683555,0.000056978042,0.000021395723,0.00011746501,0.000043708,0.98400253,0.010563225,0.0030071284,0.00021777065,0.0011728043],"study_design_scores_gemma":[0.000016281463,0.000068991314,0.00027329332,0.000005474826,0.000012200649,0.000026847254,0.000029134275,0.994572,0.003555205,0.0009884817,0.00044349246,0.000008518595],"about_ca_topic_score_codex":0.017264882,"about_ca_topic_score_gemma":0.007695338,"teacher_disagreement_score":0.017264882,"about_ca_system_score_codex":0.001100191,"about_ca_system_score_gemma":0.00090948615,"threshold_uncertainty_score":0.03432876},"labels":[],"label_agreement":null},{"id":"W2019921022","doi":"10.1016/j.jtbi.2008.08.018","title":"Disease-induced stabilization of predator–prey oscillations","year":2008,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":118,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Faculty of Medical and Health Sciences, University of Auckland; Killam Trusts","keywords":"Predator; Predation; Trophic level; Biology; Extinction (optical mineralogy); Population; Ecology; Population cycle; Basic reproduction number; Demography","score_opus":0.011648286414336408,"score_gpt":0.2701024219468413,"score_spread":0.2584541355325049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019921022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9843853,0.00031880883,0.011223151,0.00053393224,0.00007628314,0.000006403595,0.00004312477,0.00007440491,0.0033386988],"genre_scores_gemma":[0.9992048,0.000043755084,0.00026023868,0.000021549304,0.000006199497,0.0000018321991,0.000009646401,0.0000027353371,0.0004491454],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99994135,0.000014173446,0.0000034268548,0.000014358364,0.000009584437,0.00001710099],"domain_scores_gemma":[0.9997335,0.00010513487,0.000053389937,0.00002865885,0.000028025153,0.0000512625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022099035,0.00014847376,0.0002462751,0.00020383783,0.00015857391,0.00044265078,0.00021922165,0.0003423,0.0015491901],"category_scores_gemma":[0.0011491084,0.00009533288,0.0002226905,0.000081478756,0.0003183587,0.00028242852,0.00040159488,0.00030604546,0.00013037225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007590528,0.00017224764,0.0068910075,0.00021734415,0.00011556564,0.0008822818,0.00027855425,0.055852126,0.83409995,0.0710227,0.0020972537,0.027611947],"study_design_scores_gemma":[0.0002964991,0.000509026,0.032425202,0.0000297446,0.000100946396,0.0014409678,0.00021760444,0.7652015,0.10833219,0.08806839,0.0033142134,0.00006370794],"about_ca_topic_score_codex":0.00017805232,"about_ca_topic_score_gemma":0.00014288211,"teacher_disagreement_score":0.0015491901,"about_ca_system_score_codex":0.00028363476,"about_ca_system_score_gemma":0.00015930196,"threshold_uncertainty_score":0.0051825643},"labels":[],"label_agreement":null},{"id":"W2020122130","doi":"10.1016/j.jtbi.2010.04.030","title":"Modeling anti-tumor Th1 and Th2 immunity in the rejection of melanoma","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"T-cell and B-cell Immunology","field":"Immunology and Microbiology","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University Medical Centre; McMaster University","funders":"","keywords":"Melanoma; Eosinophil; Immunology; Cancer research; Tumor necrosis factor alpha; Tumor cells; Immunity; Cytotoxic T cell; Cancer; Biology; Medicine; Immune system; Internal medicine; In vitro","score_opus":0.008664346142201317,"score_gpt":0.23899824256321875,"score_spread":0.23033389642101743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020122130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87782544,0.00091481826,0.08830576,0.001300635,0.00014000102,0.000054586348,0.00009633488,0.00008243291,0.031279907],"genre_scores_gemma":[0.9907665,0.00018165895,0.0043279356,0.00007620697,0.000031739775,0.000026720107,0.000016203612,0.000016283686,0.004556793],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999895,0.000052535357,0.000002337624,0.000011230005,0.000013697167,0.000025198833],"domain_scores_gemma":[0.99973243,0.00015145111,0.00004558837,0.000009583238,0.00002490558,0.000035981884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035303654,0.00038709087,0.000481849,0.0003026847,0.00023596655,0.0005924659,0.0007631672,0.00087079586,0.0024386516],"category_scores_gemma":[0.00072343147,0.0002356044,0.000482152,0.00017027376,0.0004164508,0.00068310514,0.00036064145,0.00044702258,0.00018621724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067774294,0.000052036856,0.00070397503,0.000031280928,0.000013149049,0.00006954315,0.0000211928,0.97269225,0.004207377,0.020162746,0.00014947083,0.0018292473],"study_design_scores_gemma":[0.000013546578,0.0000280238,0.00014464946,0.0000025129632,0.000004965291,0.00000918473,0.000008207425,0.9949439,0.00023647101,0.0044713966,0.00013438525,0.0000027581318],"about_ca_topic_score_codex":0.0041067163,"about_ca_topic_score_gemma":0.0026743754,"teacher_disagreement_score":0.0041067163,"about_ca_system_score_codex":0.0007061431,"about_ca_system_score_gemma":0.0005232433,"threshold_uncertainty_score":0.0081656575},"labels":[],"label_agreement":null},{"id":"W2020129966","doi":"10.1016/j.jtbi.2007.11.033","title":"Assessing pharmacokinetic variability directly induced by drug intake behaviour through development of a feeding behaviour–pharmacokinetic model","year":2007,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Antibiotics Pharmacokinetics and Efficacy","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Cegep de Saint Hyacinthe; Université de Montréal","funders":"","keywords":"Pharmacokinetics; Dosing; Regimen; Drug; Pharmacology; Biology; Medicine; Internal medicine","score_opus":0.03421550109498411,"score_gpt":0.3763151320761924,"score_spread":0.34209963098120827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020129966","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23758489,0.0002145411,0.7579739,0.00029928167,0.000030849063,0.0001733663,0.0003552589,0.00044156238,0.0029262973],"genre_scores_gemma":[0.9648778,0.00015647952,0.031474903,0.000095734504,0.00001754112,0.00029553424,0.0002261818,0.000079041674,0.0027767015],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967194,0.0001119371,0.000017746881,0.000093625116,0.00006422228,0.00004054572],"domain_scores_gemma":[0.9980342,0.0014949032,0.00019896982,0.00011139247,0.000118952245,0.00004159052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012332781,0.0005770469,0.0009593643,0.00037771245,0.0002582237,0.0005381472,0.00087386003,0.0010808207,0.0011439916],"category_scores_gemma":[0.0046906387,0.0004164826,0.0009455672,0.00036347867,0.00034741205,0.000857325,0.0006177971,0.001066571,0.00030288385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015984508,0.000171458,0.0027436775,0.000078376885,0.00012405099,0.00009312129,0.00006972959,0.9697852,0.010902749,0.0047185677,0.0002786254,0.010874567],"study_design_scores_gemma":[0.000007371156,0.000036194804,0.00053531013,0.000001391947,0.000018498593,0.000017639266,0.0000019020234,0.99804306,0.00061326154,0.00062640995,0.00009346802,0.0000054533007],"about_ca_topic_score_codex":0.0057483222,"about_ca_topic_score_gemma":0.0022294747,"teacher_disagreement_score":0.0057483222,"about_ca_system_score_codex":0.0007374191,"about_ca_system_score_gemma":0.0009852598,"threshold_uncertainty_score":0.011429727},"labels":[],"label_agreement":null},{"id":"W2020159048","doi":"10.1016/j.jtbi.2006.09.030","title":"The evolution of altruism: Game theory in multilevel selection and inclusive fitness","year":2006,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":84,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Altruism (biology); Inclusive fitness; Group selection; Reciprocal altruism; Selection (genetic algorithm); Price equation; Prisoner's dilemma; Kin selection; Evolutionary game theory; Dilemma; Mathematical economics; Game theory; Economics; Econometrics; Mathematics; Social psychology; Psychology; Computer science; Biology; Artificial intelligence; Ecology","score_opus":0.004741107534727733,"score_gpt":0.2854051120650397,"score_spread":0.280664004530312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020159048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49731088,0.0032645806,0.43116668,0.010927037,0.00016761023,0.000063446896,0.00011326661,0.00006681615,0.05691966],"genre_scores_gemma":[0.9854702,0.00035931158,0.011898061,0.00016204432,0.00004293682,0.000027200085,0.000011032535,0.000012091556,0.0020172505],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99908805,0.00058400095,0.000023425828,0.00009517012,0.00010502703,0.000104269646],"domain_scores_gemma":[0.99715877,0.0019728343,0.00027388343,0.00017803011,0.00018291992,0.00023358983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019517239,0.00028559443,0.0008789733,0.0004951408,0.0008987058,0.0025637287,0.0010258607,0.0015812176,0.0033378315],"category_scores_gemma":[0.0072106034,0.0002603326,0.00051016966,0.0005196049,0.0025837277,0.0032393145,0.0018065193,0.0015904518,0.00019278293],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004538771,0.000036487618,0.0026555755,0.000072035655,0.00006942588,0.00009601259,0.00054407475,0.038837064,0.0011735411,0.9448217,0.0010082609,0.010640425],"study_design_scores_gemma":[0.000021354737,0.000025734349,0.0023638522,0.000021265621,0.000031452957,0.00009205319,0.00021388296,0.10496258,0.0001353191,0.89087373,0.0012385965,0.000020167592],"about_ca_topic_score_codex":0.0019403306,"about_ca_topic_score_gemma":0.0025471528,"teacher_disagreement_score":0.0033378315,"about_ca_system_score_codex":0.0013834535,"about_ca_system_score_gemma":0.0007788542,"threshold_uncertainty_score":0.011166155},"labels":[],"label_agreement":null},{"id":"W2020366075","doi":"10.1016/j.jtbi.2011.02.019","title":"How does adaptive consumer movement affect population dynamics in consumer–resource metacommunities with homogeneous patches?","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metacommunity; Population; Movement (music); Ecology; Per capita; Resource (disambiguation); Predator; Predation; Dynamics (music); Population cycle; Biology; Computer science; Demography; Psychology; Biological dispersal","score_opus":0.028717858275338043,"score_gpt":0.26542690626015,"score_spread":0.23670904798481193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020366075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99859697,0.0000133260555,0.00091213436,0.00014730307,0.0000030758913,0.000001530861,0.0000067665387,0.00000418005,0.00031475702],"genre_scores_gemma":[0.9996822,0.000009945589,0.00017521805,0.000021590073,0.0000025611535,0.0000011594533,0.0000049716014,0.0000020442287,0.00010035266],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975675,0.00009586228,0.000010262736,0.00006362279,0.000015107229,0.00005840132],"domain_scores_gemma":[0.9965989,0.0020429455,0.000610482,0.00028038563,0.00016285412,0.00030434527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091113365,0.00011683264,0.00030142278,0.00028429154,0.0003337996,0.00086953345,0.00041096428,0.00096805755,0.0025448666],"category_scores_gemma":[0.009217318,0.00023860062,0.0002622448,0.00021379357,0.0008752767,0.0012336834,0.00063267635,0.00039427067,0.00016569116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009891016,0.0004496262,0.8241875,0.00018040076,0.00044314872,0.0008922135,0.0017771176,0.055396736,0.04480695,0.033275045,0.001789782,0.035812363],"study_design_scores_gemma":[0.00013470539,0.00030604572,0.73015255,0.000016157612,0.00018516376,0.0005075738,0.0027023344,0.22549175,0.0023241336,0.037533812,0.00059891364,0.000046796733],"about_ca_topic_score_codex":0.0015942772,"about_ca_topic_score_gemma":0.002098197,"teacher_disagreement_score":0.0025448666,"about_ca_system_score_codex":0.00038900247,"about_ca_system_score_gemma":0.00013646611,"threshold_uncertainty_score":0.008513451},"labels":[],"label_agreement":null},{"id":"W2021061513","doi":"10.1016/j.jtbi.2014.07.028","title":"The dynamical consequences of seasonal forcing, immune boosting and demographic change in a model of disease transmission","year":2014,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Global Health Research; York University","funders":"National Health and Medical Research Council; Australian Research Council","keywords":"Forcing (mathematics); Boosting (machine learning); Disease transmission; Transmission (telecommunications); Disease; Biology; Statistical physics; Climatology; Econometrics; Mathematics; Atmospheric sciences; Virology; Physics; Computer science; Medicine; Artificial intelligence; Geology","score_opus":0.09092885300922159,"score_gpt":0.37989524916357614,"score_spread":0.28896639615435454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021061513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.908089,0.0006395089,0.07022944,0.0075028013,0.0001886588,0.000032572472,0.0003683966,0.000096707234,0.012852911],"genre_scores_gemma":[0.9933536,0.0002566143,0.0015430527,0.00015149705,0.00008758992,0.000018497245,0.00006051736,0.000018334162,0.004510227],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976045,0.00011703819,0.000008559003,0.00003104849,0.000018121033,0.000064757034],"domain_scores_gemma":[0.9972608,0.0018266565,0.00039143278,0.00008771157,0.00012880108,0.00030462642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011542772,0.00037167003,0.0006601089,0.0006282371,0.00076176086,0.0014830669,0.0011441528,0.0021057483,0.0036648887],"category_scores_gemma":[0.00673026,0.00042446418,0.00078763446,0.00039704065,0.0014186017,0.0017805895,0.0010355578,0.0010950618,0.00021516165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022459602,0.00015213196,0.009222142,0.000085048094,0.00009812378,0.00054372044,0.0003618619,0.7138489,0.0027225278,0.26455024,0.003692003,0.0044987435],"study_design_scores_gemma":[0.00005636687,0.000042155643,0.0016802965,0.000006533413,0.000023957105,0.00008006008,0.000087383094,0.9536922,0.00005281419,0.04394464,0.00031591504,0.00001770392],"about_ca_topic_score_codex":0.010500411,"about_ca_topic_score_gemma":0.0064377026,"teacher_disagreement_score":0.010500411,"about_ca_system_score_codex":0.00086684374,"about_ca_system_score_gemma":0.0007647583,"threshold_uncertainty_score":0.020878553},"labels":[],"label_agreement":null},{"id":"W2021211601","doi":"10.1016/j.jtbi.2004.10.028","title":"Scale-free neurodegeneration: cellular heterogeneity and the stretched exponential kinetics of cell death","year":2004,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Prion Diseases and Protein Misfolding","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto; University of New Brunswick","funders":"Canadian Institutes of Health Research","keywords":"Neurodegeneration; Neuroscience; Programmed cell death; Population; Biology; Apoptosis; Exponential function; Neuron; Disease; Medicine; Pathology; Mathematics; Genetics","score_opus":0.006499165037310487,"score_gpt":0.23352527044431365,"score_spread":0.22702610540700316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021211601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6305811,0.002643664,0.35165244,0.0031013624,0.00034457952,0.00009301553,0.00016028783,0.00048324233,0.010940312],"genre_scores_gemma":[0.9885881,0.00081537466,0.0068094824,0.00017869561,0.00009033219,0.0000442924,0.00004656053,0.000058039317,0.0033691162],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998073,0.00004120965,0.000008328353,0.000044294637,0.00006121673,0.000037630783],"domain_scores_gemma":[0.99771,0.0012381857,0.00031277142,0.00030265303,0.00022931672,0.00020700273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012056126,0.0005240154,0.0006521496,0.00055138965,0.00040995967,0.0009415363,0.0011442994,0.0012380995,0.0017955729],"category_scores_gemma":[0.0067355917,0.00035955544,0.000436219,0.0002493673,0.0013733185,0.0033685106,0.0008250885,0.001209816,0.00027648403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040948304,0.00020219552,0.0053199613,0.00039909506,0.0000959315,0.0016940688,0.0007892556,0.21393828,0.11679889,0.63539857,0.0023926622,0.022561667],"study_design_scores_gemma":[0.0000593597,0.00010019935,0.0036388573,0.000023017887,0.00002731248,0.00048411926,0.00011344538,0.73569995,0.0065288856,0.25205696,0.0012073672,0.0000605296],"about_ca_topic_score_codex":0.0006969486,"about_ca_topic_score_gemma":0.00044751124,"teacher_disagreement_score":0.0017955729,"about_ca_system_score_codex":0.0009047269,"about_ca_system_score_gemma":0.00039486404,"threshold_uncertainty_score":0.0065642595},"labels":[],"label_agreement":null},{"id":"W2021643071","doi":"10.1006/jtbi.2000.2183","title":"Segmentation and Somitogenesis Derived from Phase Dynamics in Growing Oscillatory Media","year":2000,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Developmental Biology and Gene Regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Somitogenesis; Segmentation; Physics; Statistical physics; Computer science; Biology; Artificial intelligence; Embryo; Cell biology; Somite","score_opus":0.004701820505838087,"score_gpt":0.25283379817427415,"score_spread":0.24813197766843606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021643071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85741687,0.0004523384,0.1266221,0.00013762216,0.00006405094,0.00003054532,0.0001872688,0.00018162593,0.014907508],"genre_scores_gemma":[0.9863311,0.00022099433,0.009953057,0.000020469543,0.000019397645,0.000029784173,0.0001956744,0.000075767115,0.0031536804],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99994016,0.00000736959,0.000002632273,0.000013175997,0.000024591038,0.000012161506],"domain_scores_gemma":[0.99965453,0.0001592384,0.00007092681,0.00002662974,0.00003872735,0.000050004674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001022658,0.0003230901,0.00021842067,0.00048101472,0.00030905323,0.0005899849,0.00032026225,0.00031758597,0.0014558835],"category_scores_gemma":[0.0009837305,0.00033712745,0.00029247245,0.00027436076,0.0005576847,0.0003964975,0.00042901293,0.00047794566,0.0002668534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035180722,0.000027559483,0.0018689035,0.00008553718,0.00002047625,0.00043345345,0.00023316703,0.0139513705,0.8344362,0.13497192,0.00021345004,0.0134060765],"study_design_scores_gemma":[0.0001671095,0.00018975603,0.025484376,0.000043852346,0.00006893938,0.0014810383,0.00021944707,0.41996253,0.44234708,0.10613341,0.0038095748,0.000092967515],"about_ca_topic_score_codex":0.0007224225,"about_ca_topic_score_gemma":0.0008207385,"teacher_disagreement_score":0.0014558835,"about_ca_system_score_codex":0.000328361,"about_ca_system_score_gemma":0.00022609718,"threshold_uncertainty_score":0.004870355},"labels":[],"label_agreement":null},{"id":"W2021695563","doi":"10.1016/j.jtbi.2006.05.032","title":"Natural variation in HIV infection: Monte Carlo estimates that include CD8 effector cells","year":2006,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Viral load; CD8; Population; Immunology; Human immunodeficiency virus (HIV); Biology; Monte Carlo method; Virology; Lentivirus; Virus; Effector; Antiretroviral therapy; Viral disease; Medicine; Immune system; Statistics; Mathematics","score_opus":0.005529835663853874,"score_gpt":0.2556833281634881,"score_spread":0.2501534924996342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021695563","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41207898,0.0011149059,0.5782405,0.001375952,0.00012769015,0.00015722371,0.00024544826,0.00036259234,0.0062967204],"genre_scores_gemma":[0.94284415,0.00040844458,0.052398685,0.00037824552,0.00015235454,0.00023819863,0.00025167956,0.00013024443,0.003197947],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976464,0.0016828931,0.000067513836,0.00025418322,0.00018131766,0.00016759198],"domain_scores_gemma":[0.92218006,0.070481144,0.0018025874,0.0033440467,0.0013716134,0.00082058203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010668348,0.000624204,0.0015679126,0.0011715919,0.00097617035,0.0018374571,0.0022708834,0.002235148,0.003626181],"category_scores_gemma":[0.055755585,0.0011706867,0.0013006905,0.0010626302,0.0020953894,0.004020465,0.0015730065,0.0027087773,0.00032933473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015151872,0.00007847168,0.00538771,0.00004429242,0.00011271734,0.00012574323,0.00012996868,0.9297937,0.0002853415,0.057014164,0.0007509163,0.0061253733],"study_design_scores_gemma":[0.000023778824,0.000023282433,0.00081922015,0.00001577917,0.00002297505,0.000050877527,0.000022845114,0.973451,0.0001100278,0.025256878,0.000186139,0.000017271012],"about_ca_topic_score_codex":0.0054458207,"about_ca_topic_score_gemma":0.0057410398,"teacher_disagreement_score":0.010668348,"about_ca_system_score_codex":0.0010956122,"about_ca_system_score_gemma":0.0009863916,"threshold_uncertainty_score":0.056420326},"labels":[],"label_agreement":null},{"id":"W2021744429","doi":"10.1016/j.jtbi.2012.09.024","title":"Dynamic neural networking as a basis for plasticity in the control of heart rate","year":2012,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience; Medulla oblongata; Heart rate; Nervous system; Biology; Biological neural network; Artificial neural network; Spinal cord; Hierarchy; Plasticity; Central nervous system; Computer science; Artificial intelligence; Blood pressure; Physics","score_opus":0.013483462210911202,"score_gpt":0.2989494479703924,"score_spread":0.28546598575948123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021744429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58568066,0.0018872827,0.3725966,0.0024095438,0.00045032435,0.000028755703,0.00014563711,0.00017893694,0.03662228],"genre_scores_gemma":[0.9946668,0.00021198398,0.0040079886,0.000028206365,0.000048983937,0.000009260668,0.0000145878175,0.0000148910785,0.0009973048],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989116,0.000030530224,0.000005540868,0.000031389,0.000021565833,0.000019805593],"domain_scores_gemma":[0.99957496,0.0002395645,0.00005797605,0.000052283318,0.000035835546,0.000039317656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029651914,0.00018983267,0.00024084303,0.00023589276,0.00026374203,0.0007231578,0.00062309724,0.00039937813,0.0018890576],"category_scores_gemma":[0.0017223302,0.00016755158,0.0002812162,0.00014139409,0.0008475096,0.0010131274,0.0005399902,0.00064625195,0.00012507748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011966047,0.00009889143,0.002921063,0.000116486815,0.00010254848,0.0003476394,0.0002641128,0.3161377,0.061154924,0.57922393,0.0010923207,0.038420632],"study_design_scores_gemma":[0.000011778093,0.000058212474,0.0037571199,0.000011995421,0.000012472563,0.00018218544,0.000039759063,0.7352645,0.0018460347,0.25806147,0.00072933134,0.000025254738],"about_ca_topic_score_codex":0.00047196102,"about_ca_topic_score_gemma":0.00035684867,"teacher_disagreement_score":0.0018890576,"about_ca_system_score_codex":0.00025854717,"about_ca_system_score_gemma":0.00018066063,"threshold_uncertainty_score":0.006319523},"labels":[],"label_agreement":null},{"id":"W2022591458","doi":"10.1016/j.jtbi.2007.07.023","title":"Molecular sex: The importance of base composition rather than homology when nucleic acids hybridize","year":2007,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Nucleic acid; Biology; Homology (biology); Genetics; Genome; DNA; Nucleic acid thermodynamics; Base pair; Computational biology; Nucleic acid structure; Molecular evolution; RNA; Gene","score_opus":0.006322516678808491,"score_gpt":0.24551683303161434,"score_spread":0.23919431635280586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022591458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93765,0.00066332606,0.044304013,0.00100932,0.00024829034,0.000026628457,0.000064131964,0.0002728796,0.015761381],"genre_scores_gemma":[0.9944523,0.00016724224,0.0035297011,0.00018425442,0.000056027784,0.000013458639,0.000026360034,0.000079120415,0.0014914342],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99946386,0.00011633066,0.000021649616,0.0001342561,0.00018705001,0.00007686781],"domain_scores_gemma":[0.99749446,0.0014836104,0.00028618088,0.00037483973,0.00012415249,0.00023677443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010584071,0.00018399743,0.0005102436,0.00061507284,0.000613355,0.0015029337,0.00076515554,0.0011196054,0.00448654],"category_scores_gemma":[0.0047413525,0.00037750814,0.00020657289,0.0003565445,0.0023607342,0.002620065,0.00097497,0.0011587958,0.0005133658],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007792202,0.000116953335,0.015092209,0.00021696767,0.00006312873,0.0009877463,0.00087205344,0.004833997,0.56976724,0.35297653,0.0007225927,0.05357153],"study_design_scores_gemma":[0.00022031345,0.00077007216,0.016012149,0.00004105994,0.00011742152,0.0050875535,0.0010324549,0.040582806,0.37773988,0.5515238,0.006699991,0.00017241781],"about_ca_topic_score_codex":0.00011480478,"about_ca_topic_score_gemma":0.00013576796,"teacher_disagreement_score":0.00448654,"about_ca_system_score_codex":0.0003625778,"about_ca_system_score_gemma":0.00024313662,"threshold_uncertainty_score":0.015008926},"labels":[],"label_agreement":null},{"id":"W2022721383","doi":"10.1016/j.jtbi.2003.12.009","title":"Natural selection on unpalatable species imposed by state-dependent foraging behaviour","year":2004,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":117,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Predation; Biology; Foraging; Müllerian mimicry; Mimicry; Ecology; Predator; Natural selection; Selection (genetic algorithm); Evolutionary biology; Aposematism; Computer science","score_opus":0.003341035733196868,"score_gpt":0.2418075503480176,"score_spread":0.23846651461482074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022721383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989184,0.000013621124,0.00037723721,0.000028130245,0.0000019666368,9.732215e-7,0.0000059917315,0.000005216879,0.00064844044],"genre_scores_gemma":[0.9994411,0.000020644464,0.0002711024,0.000022090353,0.000003425477,0.0000021749395,0.000014535587,0.000006245207,0.00021872764],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99982786,0.000077180426,0.000008988593,0.000030941745,0.000026172162,0.000028812781],"domain_scores_gemma":[0.99855036,0.0006363781,0.00022800935,0.0001832727,0.0001000115,0.00030200538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043381567,0.00022284173,0.00038716983,0.000360527,0.00043233074,0.0007833544,0.00033044306,0.0003376044,0.0022494455],"category_scores_gemma":[0.0016484366,0.00028611088,0.00021661138,0.00021637646,0.0006088179,0.00039415096,0.0007731557,0.0005265561,0.000102344056],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001306183,0.00040740732,0.08857436,0.00019600753,0.00028206612,0.0014618431,0.0005958202,0.012330457,0.8360892,0.028053282,0.00046967482,0.03023373],"study_design_scores_gemma":[0.00022662185,0.0013430929,0.7887806,0.00003485017,0.0003073809,0.0026622992,0.0009511193,0.12896043,0.02733412,0.04794102,0.0013361889,0.00012227676],"about_ca_topic_score_codex":0.00023957994,"about_ca_topic_score_gemma":0.0010440467,"teacher_disagreement_score":0.0022494455,"about_ca_system_score_codex":0.00027369402,"about_ca_system_score_gemma":0.00020079002,"threshold_uncertainty_score":0.007525146},"labels":[],"label_agreement":null},{"id":"W2023412226","doi":"10.1016/j.jtbi.2004.05.022","title":"Inferring models of gene expression dynamics","year":2004,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computational biology; Gene expression; Dynamics (music); Expression (computer science); Biology; Gene; Computer science; Evolutionary biology; Genetics; Physics","score_opus":0.00649875981995066,"score_gpt":0.24344623054926076,"score_spread":0.2369474707293101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023412226","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27224836,0.00032155073,0.7213236,0.0019234183,0.00004186198,0.000053108088,0.0007803477,0.0006722009,0.0026355216],"genre_scores_gemma":[0.9319426,0.0003746802,0.06495437,0.0001367195,0.000061927065,0.00011081263,0.0006624429,0.00011673224,0.0016397792],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939966,0.000313928,0.000022244581,0.00015151018,0.000067507026,0.000045117056],"domain_scores_gemma":[0.97906667,0.019630449,0.0004152761,0.00045622097,0.0002120056,0.00021948472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002162652,0.0008136162,0.000987846,0.001424973,0.0005406257,0.0015447057,0.0014419504,0.0016486134,0.002221455],"category_scores_gemma":[0.019032205,0.0012633764,0.0014621336,0.0011792914,0.0011954649,0.0029505824,0.0011062361,0.0020976518,0.00029409057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007346139,0.00004931264,0.0022939814,0.000034169334,0.000052420895,0.000072229224,0.00007660911,0.94595045,0.00056117977,0.04212608,0.0005155614,0.008194543],"study_design_scores_gemma":[0.000008827491,0.000003140852,0.00007744806,0.0000015736845,0.000007096335,0.000006959325,0.0000047795907,0.97170275,0.00009543323,0.028023612,0.0000662861,0.0000021553165],"about_ca_topic_score_codex":0.0054949545,"about_ca_topic_score_gemma":0.0065043434,"teacher_disagreement_score":0.0054949545,"about_ca_system_score_codex":0.001975256,"about_ca_system_score_gemma":0.001023607,"threshold_uncertainty_score":0.01433152},"labels":[],"label_agreement":null},{"id":"W2024140229","doi":"10.1016/j.jtbi.2013.05.009","title":"Protandry, sexual size dimorphism, and adaptive growth","year":2013,"lang":"en","type":"review","venue":"Journal of Theoretical Biology","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Sexual dimorphism; Biology; Reproduction; Sexual reproduction; Adaptive value; Growth rate; Ecology; Adaptive strategies; Evolutionary biology; Zoology; Geography; Mathematics","score_opus":0.04355413382479394,"score_gpt":0.2915932155342293,"score_spread":0.24803908170943534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024140229","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00014122565,0.99904484,0.000091369206,0.00022920936,0.00007103846,0.0000011998679,0.0000118152675,0.0000022609802,0.00040701643],"genre_scores_gemma":[0.0011634011,0.9981384,0.00011584503,0.000106372114,0.00018518836,0.0000029609753,0.000020433283,6.409919e-7,0.00026669793],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998721,0.0000200019,0.00001678993,0.000034316683,0.000045261146,0.000011438071],"domain_scores_gemma":[0.9996475,0.00021198265,0.000050842755,0.000008727401,0.00005387434,0.000026996386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006479995,0.0007945472,0.0013111439,0.0014732933,0.00028275562,0.0008646226,0.0010701815,0.0014259776,0.0029592053],"category_scores_gemma":[0.0010842521,0.00027951217,0.0002758795,0.002342273,0.0011499204,0.0010101406,0.0006763693,0.001261884,0.00083386805],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006731142,0.000053428754,0.00064055435,0.008402694,0.00008888735,0.00014262731,0.00005050473,0.00046207872,0.00055637996,0.0048952545,0.01764445,0.9669958],"study_design_scores_gemma":[0.000051344236,0.0001489943,0.009270321,0.0068482333,0.00035403544,0.00269971,0.00026002194,0.0003718701,0.00041880916,0.018532963,0.960971,0.00007264262],"about_ca_topic_score_codex":0.002807757,"about_ca_topic_score_gemma":0.004506461,"teacher_disagreement_score":0.0029592053,"about_ca_system_score_codex":0.0005754632,"about_ca_system_score_gemma":0.0011785626,"threshold_uncertainty_score":0.009899497},"labels":[],"label_agreement":null},{"id":"W2025076189","doi":"10.1016/j.jtbi.2004.04.035","title":"The prevalence of male homosexuality: the effect of fraternal birth order and variations in family size","year":2004,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Homosexuality; Fertility; Birth order; Demography; Birth rate; Total fertility rate; Odds; Brother; Psychology; Sociology; Gender studies; Research methodology; Statistics; Logistic regression; Family planning; Mathematics; Population","score_opus":0.010369626246949754,"score_gpt":0.34746525771445175,"score_spread":0.337095631467502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025076189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985576,0.00040212247,0.00007800408,0.00019395941,0.000010351601,0.0000031433785,0.00015976849,0.000005014322,0.00059005053],"genre_scores_gemma":[0.99943084,0.00009190894,0.00004477397,0.00001878446,0.0000120583945,0.0000024336277,0.00007202502,0.000005380693,0.00032183682],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963437,0.0022156143,0.00017606183,0.0005696488,0.00019466535,0.00050031353],"domain_scores_gemma":[0.9561696,0.029052943,0.0067707133,0.0036126382,0.00068474445,0.0037094324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041356115,0.00045564762,0.00067539344,0.0012844568,0.00089076464,0.0018945877,0.0017684638,0.0018164348,0.012827956],"category_scores_gemma":[0.023526821,0.00079730636,0.0018406949,0.001308898,0.0020587074,0.0014158464,0.0014616256,0.002363866,0.000602382],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014702723,0.00023436677,0.9935875,0.000013377365,0.00045928467,0.00018671437,0.0005654561,0.00015335213,0.00053329166,0.00025910218,0.000116463285,0.0024208324],"study_design_scores_gemma":[0.000013163837,0.00022442115,0.9979918,0.000009165542,0.0001551432,0.00023635,0.00063404575,0.0004215291,0.000085610176,0.00013684068,0.000080724225,0.000011286536],"about_ca_topic_score_codex":0.01845845,"about_ca_topic_score_gemma":0.015908616,"teacher_disagreement_score":0.01845845,"about_ca_system_score_codex":0.00053987134,"about_ca_system_score_gemma":0.0007806419,"threshold_uncertainty_score":0.042913795},"labels":[],"label_agreement":null},{"id":"W2026672198","doi":"10.1016/j.jtbi.2008.04.025","title":"Redefining the maximum sustainable yield for the Schaefer population model including multiplicative environmental noise","year":2008,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fisheries and Oceans Canada; Canada Research Chairs; Université Laval","keywords":"Maximum sustainable yield; Haddock; Econometrics; Gadus; Mathematics; Statistics; Multiplicative noise; Context (archaeology); Multiplicative function; Stock (firearms); Population; Population dynamics of fisheries; Environmental science; Applied mathematics; Fishery; Computer science; Fisheries management; Fish <Actinopterygii>; Geography; Fishing; Biology; Mathematical analysis","score_opus":0.03654806586773568,"score_gpt":0.2831350794171821,"score_spread":0.2465870135494464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026672198","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28858304,0.0006656831,0.69431835,0.0016728154,0.000099524426,0.000035694145,0.00020438095,0.00026157705,0.014158894],"genre_scores_gemma":[0.9653378,0.00036620678,0.027471732,0.00016400272,0.000043188298,0.00006048757,0.000084585845,0.000100097604,0.006371918],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964225,0.00017853171,0.000011422972,0.0000640749,0.00004103282,0.00006267985],"domain_scores_gemma":[0.99815375,0.0013997796,0.00013584018,0.00010013819,0.00012393773,0.00008643441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024047948,0.0008256009,0.0010642989,0.0005548656,0.0005422886,0.0011497069,0.0018526484,0.0018522781,0.0027356122],"category_scores_gemma":[0.00803275,0.0005290345,0.0007214583,0.0005778243,0.0013519698,0.0026327455,0.0014671659,0.0013528952,0.00025072237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002655741,0.0000095934565,0.00023277022,0.000021386419,0.000011819424,0.000034980407,0.00003726615,0.96579236,0.0005140216,0.030943055,0.00025457516,0.0021215335],"study_design_scores_gemma":[0.0000029579721,0.0000049207592,0.00004747307,0.0000031943496,0.00000396942,0.000005823213,0.000006243399,0.9886043,0.00005517654,0.011193553,0.00006867205,0.0000037016498],"about_ca_topic_score_codex":0.0068569845,"about_ca_topic_score_gemma":0.004435241,"teacher_disagreement_score":0.0068569845,"about_ca_system_score_codex":0.0012981842,"about_ca_system_score_gemma":0.0010509898,"threshold_uncertainty_score":0.013634145},"labels":[],"label_agreement":null},{"id":"W2026874035","doi":"10.1016/s0022-5193(03)00276-5","title":"Segregation of the photosystems in higher plant thylakoids and short- and long-term regulation by a mesoscopic approach","year":2003,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Photosynthetic Processes and Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Kempe Foundation","keywords":"Thylakoid; Photosystem; Dephosphorylation; Mesoscopic physics; Chemical physics; Photosynthesis; Photosystem II; Biology; Biophysics; Photosystem I; Chemistry; Phosphorylation; Botany; Physics; Biochemistry; Chloroplast; Condensed matter physics","score_opus":0.00865755909404337,"score_gpt":0.23213210645931998,"score_spread":0.2234745473652766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026874035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97203124,0.001753151,0.024186563,0.0002492815,0.000037138845,0.000006248513,0.000047298883,0.00006439092,0.0016245857],"genre_scores_gemma":[0.99617445,0.00032245036,0.0028468235,0.00002732721,0.000013161814,0.000006542912,0.000021553642,0.000015336705,0.0005722965],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999652,0.0000038609237,0.0000023523046,0.000012906091,0.000009407388,0.0000061894466],"domain_scores_gemma":[0.9998702,0.000043453147,0.000029290986,0.000019828101,0.000013184792,0.0000239155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000099297016,0.00012558863,0.00017752174,0.00018475339,0.00021975527,0.00044161355,0.00025595006,0.00021754256,0.00044572927],"category_scores_gemma":[0.00022577039,0.00018521037,0.00016664008,0.00012711792,0.00033919135,0.0005212429,0.00028367882,0.0005380882,0.00010413893],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093003524,0.000011974738,0.00125037,0.000023178818,0.0000063431153,0.00004655663,0.000023166886,0.0023759375,0.98721176,0.0044989525,0.00003942786,0.0044192453],"study_design_scores_gemma":[0.00008616429,0.00019461545,0.085343525,0.000017480763,0.000080075944,0.00049124745,0.00023809473,0.29180595,0.5919959,0.026542965,0.003122608,0.000081292754],"about_ca_topic_score_codex":0.0005087175,"about_ca_topic_score_gemma":0.0009704586,"teacher_disagreement_score":0.0006547197,"about_ca_system_score_codex":0.0006547197,"about_ca_system_score_gemma":0.00014365205,"threshold_uncertainty_score":0.0047503114},"labels":[],"label_agreement":null},{"id":"W2027354043","doi":"10.1016/j.jtbi.2005.06.021","title":"Cost-effective G-CSF therapy strategies for cyclical neutropenia: Mathematical modelling based hypotheses","year":2005,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Blood disorders and treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Neutropenia; Granulocyte colony-stimulating factor; Granulocyte; Protocol (science); Medicine; Congenital Neutropenia; Intensive care medicine; Computer science; Internal medicine; Chemotherapy; Pathology","score_opus":0.02840264404816955,"score_gpt":0.31317226081546284,"score_spread":0.2847696167672933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027354043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55627674,0.0026563758,0.3765854,0.017652843,0.00028494932,0.00030034568,0.0005857228,0.00016117257,0.045496486],"genre_scores_gemma":[0.9865469,0.0006592693,0.008209016,0.00023549424,0.000052592593,0.000121212805,0.000047915928,0.000012954061,0.0041146823],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996561,0.00015013428,0.000013844733,0.000039031525,0.000042970885,0.00009787121],"domain_scores_gemma":[0.99400604,0.005115162,0.00050313777,0.00007592036,0.00016998893,0.0001297243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015450147,0.0006988109,0.0012022549,0.0007089545,0.0003634421,0.0013799788,0.0013467536,0.002065198,0.0060753278],"category_scores_gemma":[0.011848156,0.000463077,0.00077009207,0.00047705922,0.0011378288,0.0017810608,0.0007229298,0.0009872608,0.0002161212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001764338,0.00009775123,0.00088809466,0.00016379432,0.000037083784,0.00020550504,0.000058151843,0.8816742,0.00094801316,0.10422068,0.0013094033,0.010221002],"study_design_scores_gemma":[0.000070002214,0.00008373496,0.00054314017,0.000018924036,0.00003420301,0.00008931996,0.000047921916,0.9442495,0.0001797054,0.05428317,0.00038456084,0.000015743073],"about_ca_topic_score_codex":0.002416367,"about_ca_topic_score_gemma":0.0011801858,"teacher_disagreement_score":0.0060753278,"about_ca_system_score_codex":0.0013783546,"about_ca_system_score_gemma":0.0011968497,"threshold_uncertainty_score":0.020323992},"labels":[],"label_agreement":null},{"id":"W2028520143","doi":"10.1016/j.jtbi.2011.07.023","title":"Green-beard effect predicts the evolution of traitorousness in the two-tag Prisoner's dilemma","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Prisoner's dilemma; Dilemma; Transitive relation; Population; Social dilemma; Microeconomics; Computer science; Game theory; Economics; Sociology; Epistemology; Mathematics","score_opus":0.014565498637214748,"score_gpt":0.28580312312111916,"score_spread":0.2712376244839044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028520143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99794596,0.000024960114,0.001027226,0.00012930966,0.0000038710577,0.0000022745185,0.000012467537,0.0000065060394,0.0008472833],"genre_scores_gemma":[0.99958915,0.000007409999,0.00020968964,0.000017529508,0.0000015591119,0.0000012453344,0.0000062562904,0.0000023878458,0.00016481991],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996164,0.00016622062,0.000014617381,0.000103843566,0.000029487399,0.000069490656],"domain_scores_gemma":[0.99330443,0.0041338033,0.0011570663,0.0005248063,0.00022292383,0.00065681926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028763602,0.00023569583,0.0005388552,0.00052287657,0.000596766,0.0011452247,0.0005791407,0.001010506,0.0034425817],"category_scores_gemma":[0.008845373,0.0003080648,0.00035961528,0.00025407667,0.0014278976,0.0010521534,0.0007007362,0.00096716743,0.0002714539],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013272978,0.0008185951,0.8180479,0.00012010746,0.0005673056,0.001179111,0.0023258396,0.057420857,0.020519014,0.07321658,0.0019645302,0.022492856],"study_design_scores_gemma":[0.00021499195,0.00050109817,0.5941876,0.00002429673,0.00024894447,0.0011045217,0.0014359207,0.2596046,0.0020749795,0.1395563,0.00090872456,0.00013796288],"about_ca_topic_score_codex":0.0026236647,"about_ca_topic_score_gemma":0.0032716882,"teacher_disagreement_score":0.0034425817,"about_ca_system_score_codex":0.0005610208,"about_ca_system_score_gemma":0.00032818384,"threshold_uncertainty_score":0.015211821},"labels":[],"label_agreement":null},{"id":"W2029012479","doi":"10.1006/jtbi.2002.3072","title":"Simple Adaptive Strategy Wins the Prisoner's Dilemma","year":2002,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Dilemma; Prisoner's dilemma; Computer science; Adaptive strategies; Simple (philosophy); Evolutionarily stable strategy; Stability (learning theory); Process (computing); Adversary; Complex adaptive system; Character (mathematics); State (computer science); Adaptation (eye); Mathematical economics; Artificial intelligence; Game theory; Psychology; Epistemology; Machine learning; Economics; Mathematics; Computer security; Neuroscience","score_opus":0.03174108976874742,"score_gpt":0.3049281718105642,"score_spread":0.2731870820418168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029012479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7640322,0.00047874462,0.15675505,0.0029946917,0.00031593678,0.0001688825,0.00010492134,0.00020131828,0.074948266],"genre_scores_gemma":[0.97842157,0.0001556813,0.014397445,0.00019549466,0.000044811164,0.00005061462,0.00002064517,0.000018917306,0.0066948947],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991485,0.00042047864,0.000043234228,0.00014173618,0.00014388052,0.00010212448],"domain_scores_gemma":[0.99705577,0.0018648042,0.00032794898,0.0002640087,0.00023438329,0.0002530674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015595646,0.00043698456,0.0007134016,0.00044180642,0.000656665,0.0020658486,0.0007258184,0.0013629704,0.00458964],"category_scores_gemma":[0.006570179,0.00018680605,0.00045049677,0.00021628324,0.0014638292,0.0020917132,0.0012749509,0.00071204145,0.0005640997],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033956996,0.00015578986,0.0043717586,0.00028379794,0.00023844704,0.0004709023,0.00061809394,0.021259172,0.009195461,0.89334387,0.0035002579,0.06622285],"study_design_scores_gemma":[0.00010851628,0.00020166507,0.0018930205,0.00002696399,0.00004382556,0.0004984247,0.0001778166,0.04622714,0.0011896067,0.945904,0.003694268,0.00003478969],"about_ca_topic_score_codex":0.00022620954,"about_ca_topic_score_gemma":0.00023184421,"teacher_disagreement_score":0.00458964,"about_ca_system_score_codex":0.00036295512,"about_ca_system_score_gemma":0.0005455706,"threshold_uncertainty_score":0.015353918},"labels":[],"label_agreement":null},{"id":"W2029513039","doi":"10.1016/j.jtbi.2009.04.014","title":"A task-specific validation of homogeneous non-linear optimisation approaches","year":2009,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Ministry of Education, Culture, Sports, Science and Technology","keywords":"Homogeneous; Joint (building); Distribution (mathematics); Set (abstract data type); Computer science; Regular polygon; Function (biology); Biomechanics; Moment (physics); Mathematics; Mathematical optimization; Mathematical analysis; Structural engineering; Physics; Geometry; Classical mechanics; Engineering; Combinatorics","score_opus":0.01983730216762722,"score_gpt":0.23284942518352145,"score_spread":0.21301212301589423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029513039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56746435,0.0011522295,0.4237894,0.00021221138,0.00016351552,0.0003919207,0.0006258825,0.0013152965,0.0048851785],"genre_scores_gemma":[0.90834755,0.00021293454,0.0859947,0.000105028026,0.000030384215,0.00027444866,0.0012229492,0.00041195928,0.003400039],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984181,0.00084389106,0.0000975885,0.00034223465,0.00018538604,0.00011270739],"domain_scores_gemma":[0.9942088,0.004308326,0.00016155322,0.0007516241,0.0004939146,0.00007587208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042055035,0.001319937,0.0008727874,0.0005733144,0.00048198798,0.00095849176,0.0012210051,0.0014419897,0.0022473477],"category_scores_gemma":[0.01407646,0.00045783957,0.0009652973,0.0005794482,0.0006229761,0.00090756133,0.0017145681,0.0011157369,0.0008794098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003467993,0.0011234871,0.0022622158,0.0009598425,0.0007673118,0.00014905803,0.0003762893,0.7785659,0.05729036,0.0017402512,0.0010905355,0.15220676],"study_design_scores_gemma":[0.00024588805,0.0016236778,0.0039037652,0.000042484404,0.00013220287,0.000074893265,0.000069902875,0.9726783,0.019182626,0.0011245594,0.0008783296,0.000043406453],"about_ca_topic_score_codex":0.003291255,"about_ca_topic_score_gemma":0.0022153356,"teacher_disagreement_score":0.0042055035,"about_ca_system_score_codex":0.00031296263,"about_ca_system_score_gemma":0.00065839087,"threshold_uncertainty_score":0.022241116},"labels":[],"label_agreement":null},{"id":"W2029817823","doi":"10.1016/j.jtbi.2010.05.024","title":"Investigating the link between epithelial–mesenchymal transition and the cancer stem cell phenotype: A mathematical approach","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fields Institute for Research in Mathematical Sciences; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; China Scholarship Council","keywords":"Cancer stem cell; Phenotype; Stem cell; Cell sorting; Biology; Epithelial–mesenchymal transition; Mesenchymal stem cell; Cell; Cancer research; Cancer cell; Cancer; Cell biology; Computational biology; Metastasis; Genetics; Gene","score_opus":0.016957333902059696,"score_gpt":0.2777112978270638,"score_spread":0.26075396392500405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029817823","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14080879,0.0028069564,0.80028063,0.011554583,0.00034774898,0.00006411023,0.00021548102,0.00008701016,0.043834656],"genre_scores_gemma":[0.9002667,0.0034507436,0.06828001,0.0015154823,0.0007492851,0.0002491309,0.00015910581,0.00015423197,0.02517526],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965656,0.00015509625,0.00001504424,0.000047349255,0.00007496132,0.00005105618],"domain_scores_gemma":[0.9970325,0.0021192313,0.0003709248,0.00013393245,0.00020748096,0.00013578053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016912991,0.0008703152,0.0009917822,0.0013639526,0.0008112093,0.0017656881,0.0015959432,0.0021888097,0.0043127057],"category_scores_gemma":[0.0072093033,0.00061799854,0.001357075,0.000744765,0.002631086,0.00370236,0.0020467024,0.0020907728,0.00033406483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015524232,0.00004378763,0.00053710135,0.00010400597,0.000038283957,0.00009323854,0.00006811388,0.15559793,0.0023923977,0.8382484,0.0009053961,0.0019558861],"study_design_scores_gemma":[0.00001765234,0.000023431652,0.0003103506,0.000017824976,0.000022875043,0.000074470816,0.00004324529,0.72027296,0.00037151697,0.27772078,0.0011099025,0.000014998287],"about_ca_topic_score_codex":0.0025277187,"about_ca_topic_score_gemma":0.0015677455,"teacher_disagreement_score":0.0043127057,"about_ca_system_score_codex":0.0014438371,"about_ca_system_score_gemma":0.0012758201,"threshold_uncertainty_score":0.0144274235},"labels":[],"label_agreement":null},{"id":"W2029992452","doi":"10.1016/j.jtbi.2014.06.012","title":"A stochastic Pella Tomlinson model and its maximum sustainable yield","year":2014,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Maximum sustainable yield; Multiplicative noise; Noise (video); Sustainable yield; Stationary distribution; Mathematics; Computer science; Statistics; Ecology; Biology; Fisheries management; Telecommunications","score_opus":0.01030129910489377,"score_gpt":0.24956743435428203,"score_spread":0.23926613524938825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029992452","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38017705,0.0047483495,0.5166165,0.018826038,0.00044966524,0.00012000013,0.001738474,0.0008064022,0.07651749],"genre_scores_gemma":[0.9535569,0.0012863996,0.01026047,0.00039260628,0.00015390335,0.00010659487,0.00025881035,0.000118016316,0.033866327],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995671,0.00017703381,0.000015941217,0.000102818056,0.00004888207,0.00008821551],"domain_scores_gemma":[0.99728763,0.0018493799,0.00031136192,0.00010906207,0.00021311388,0.00022937972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013483847,0.0012805113,0.0020910196,0.0009124628,0.0010463818,0.0023446756,0.0019310658,0.0038357107,0.0071233646],"category_scores_gemma":[0.009034382,0.0007978954,0.0010633451,0.0011098571,0.002020918,0.002585119,0.00176687,0.0019584424,0.0007448615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012715148,0.000043067514,0.0007189168,0.00009451827,0.000059819897,0.00023411527,0.00012846112,0.44339132,0.0008508875,0.54573447,0.00447757,0.0041396837],"study_design_scores_gemma":[0.00004977259,0.000031349922,0.0002941896,0.000016560203,0.000029405624,0.00007466749,0.000042758453,0.78496414,0.000179617,0.21277905,0.0015069267,0.000031619886],"about_ca_topic_score_codex":0.01008863,"about_ca_topic_score_gemma":0.004109043,"teacher_disagreement_score":0.01008863,"about_ca_system_score_codex":0.0022262025,"about_ca_system_score_gemma":0.0015900802,"threshold_uncertainty_score":0.023829997},"labels":[],"label_agreement":null},{"id":"W2030041283","doi":"10.1006/jtbi.2000.2153","title":"Learning Rules for Social Foragers: Implications for the Producer–Scrounger Game and Ideal Free Distribution Theory","year":2000,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":73,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cegep de Saint Hyacinthe","funders":"","keywords":"Foraging; Ideal free distribution; Population; Social learning; Exploit; Game theory; Computer science; Optimal foraging theory; Artificial intelligence; Ecology; Biology; Microeconomics; Economics; Demography; Knowledge management","score_opus":0.017990764076653724,"score_gpt":0.32643874392984634,"score_spread":0.3084479798531926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030041283","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33980593,0.00056346325,0.59203094,0.0067837234,0.00011313463,0.00016953793,0.00019206364,0.00015229273,0.060188904],"genre_scores_gemma":[0.95836914,0.00028987028,0.034175582,0.0002953254,0.00008587938,0.00009254108,0.000057913767,0.000036091886,0.006597653],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99832374,0.0007072584,0.00011129374,0.0002504446,0.00037328684,0.00023392698],"domain_scores_gemma":[0.97930235,0.015582144,0.0014041153,0.00129853,0.0013545654,0.0010582064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050990563,0.00031797134,0.0012071576,0.000799587,0.0010537916,0.0038143524,0.0020681245,0.0022721707,0.0048458464],"category_scores_gemma":[0.029935526,0.00032863658,0.0007987527,0.00053892715,0.0039818655,0.0056896233,0.0013478904,0.0026031134,0.0004386659],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036265967,0.000074385396,0.001872549,0.000041409607,0.000025185178,0.00011436198,0.00037481706,0.023248414,0.0004111987,0.9629383,0.0011895167,0.009673563],"study_design_scores_gemma":[0.000024077928,0.000009844173,0.0004128305,0.0000060445,0.000005214622,0.000058675072,0.00006595097,0.04547149,0.00006245953,0.9532857,0.0005853493,0.0000124051585],"about_ca_topic_score_codex":0.0020404651,"about_ca_topic_score_gemma":0.0019058399,"teacher_disagreement_score":0.0050990563,"about_ca_system_score_codex":0.0013258177,"about_ca_system_score_gemma":0.0012463109,"threshold_uncertainty_score":0.026966691},"labels":[],"label_agreement":null},{"id":"W2030126859","doi":"10.1016/j.jtbi.2007.11.029","title":"Understanding cyclical thrombocytopenia: A mathematical modeling approach","year":2007,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Platelet Disorders and Treatments","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Platelet; Megakaryocyte; Pathogenesis; Haematopoiesis; Mean platelet volume; Incidence (geometry); Biology; Internal medicine; Medicine; Mathematics; Stem cell","score_opus":0.08932131102976956,"score_gpt":0.33789582410639984,"score_spread":0.24857451307663028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030126859","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18880476,0.002208003,0.7803306,0.0035492221,0.00019251448,0.00011150855,0.00066688925,0.0002576573,0.023878835],"genre_scores_gemma":[0.930972,0.0027624455,0.056803405,0.00037708998,0.0001790044,0.0004570593,0.00034081962,0.00009872166,0.008009467],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998679,0.00005633951,0.0000075798384,0.000018977638,0.000026251953,0.000022918948],"domain_scores_gemma":[0.99929714,0.0004593015,0.00012004035,0.000027158565,0.00006420512,0.000032095475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044204234,0.00058770453,0.00072023063,0.0007360514,0.00046476495,0.0009052296,0.0010115143,0.0014668334,0.00186664],"category_scores_gemma":[0.0021170971,0.00035170236,0.00080122956,0.00055201544,0.0006644571,0.0009541942,0.0007973125,0.0007304793,0.00022699055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009622053,0.000017931025,0.0007880762,0.00003130532,0.000023432587,0.000072687086,0.000048484828,0.96782357,0.000617433,0.028586008,0.00032556808,0.001655858],"study_design_scores_gemma":[0.0000039911442,0.0000058083106,0.000097742675,0.0000035884846,0.0000045742113,0.00001373719,0.0000093348535,0.9924529,0.000032216136,0.0070424047,0.0003303488,0.000003383805],"about_ca_topic_score_codex":0.007623807,"about_ca_topic_score_gemma":0.002907874,"teacher_disagreement_score":0.007623807,"about_ca_system_score_codex":0.00074700324,"about_ca_system_score_gemma":0.0009459674,"threshold_uncertainty_score":0.015158892},"labels":[],"label_agreement":null},{"id":"W2030305873","doi":"10.1016/j.jtbi.2006.03.020","title":"Curved paths in raptor flight: Deterministic models","year":2006,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Plane (geometry); Conical surface; Path (computing); Trajectory; Spiral (railway); Physics; Orientation (vector space); Geometry; Computer science; Mathematics; Mathematical analysis; Astronomy","score_opus":0.016702856208895493,"score_gpt":0.24028733522422333,"score_spread":0.22358447901532782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030305873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7683783,0.0021294442,0.20287386,0.0035498186,0.00019584862,0.00009042731,0.0010723481,0.000515661,0.021194384],"genre_scores_gemma":[0.9800401,0.0008041731,0.006960936,0.00016331467,0.000071962386,0.00008037943,0.00024003872,0.00011678588,0.011522353],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995153,0.00019886473,0.000016591994,0.0000927514,0.00004671811,0.00012982773],"domain_scores_gemma":[0.99471277,0.0033989658,0.00067769847,0.00023287334,0.00036324174,0.00061450194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017010763,0.0011265042,0.002122242,0.0018068884,0.0016220525,0.0029152774,0.0030133475,0.0059465524,0.0061528548],"category_scores_gemma":[0.009058469,0.0022477338,0.001533563,0.0019472704,0.003617149,0.0037147333,0.0022818758,0.0027055151,0.00091846084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061910236,0.000031311003,0.00082782976,0.00003378631,0.000030611132,0.00009681855,0.00010369546,0.95435697,0.00014916662,0.04242551,0.0008395117,0.0010428798],"study_design_scores_gemma":[0.000028071941,0.00001400123,0.00023567824,0.00000827866,0.000014733276,0.000019257679,0.00002810513,0.984559,0.00001834268,0.014898045,0.0001584395,0.000018159071],"about_ca_topic_score_codex":0.031044826,"about_ca_topic_score_gemma":0.021244958,"teacher_disagreement_score":0.031044826,"about_ca_system_score_codex":0.0021171335,"about_ca_system_score_gemma":0.0014364929,"threshold_uncertainty_score":0.0617283},"labels":[],"label_agreement":null},{"id":"W2031603505","doi":"10.1016/j.jtbi.2011.10.009","title":"A mathematical model of effects of environmental contamination and presence of volunteers on hospital infections in China","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Infection Control in Healthcare","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Program for New Century Excellent Talents in University; National Natural Science Foundation of China; International Development Research Centre","keywords":"Hygiene; Isolation (microbiology); Medicine; Transmission (telecommunications); Psychological intervention; Infection control; Environmental health; Contamination; Health care; Basic reproduction number; Emergency medicine; Intensive care medicine; Biology; Nursing; Microbiology; Ecology; Population","score_opus":0.007385572796366659,"score_gpt":0.25864615318797907,"score_spread":0.2512605803916124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031603505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80001783,0.0021935354,0.14693843,0.008093431,0.00028945625,0.00024000517,0.0025876735,0.0003346219,0.03930495],"genre_scores_gemma":[0.97518104,0.0009969935,0.002702644,0.00019483361,0.00009986141,0.00014498371,0.00036701298,0.00003650719,0.020276092],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988514,0.0003541934,0.00004310069,0.00019795106,0.00013495085,0.00041843223],"domain_scores_gemma":[0.9968665,0.0017426119,0.0005427249,0.000080959064,0.0004594962,0.00030768343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018001812,0.0014329085,0.0024505416,0.0016609827,0.0010870508,0.0023294652,0.003626879,0.0031867523,0.0060564624],"category_scores_gemma":[0.005054032,0.0009665646,0.0015274689,0.0016088899,0.0017069199,0.002087589,0.0019229796,0.0013606715,0.00046235055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009783061,0.000120661454,0.0052355444,0.000106322914,0.000090604415,0.0006337988,0.00017301468,0.9449175,0.00064719067,0.04436269,0.0014003669,0.0022145659],"study_design_scores_gemma":[0.00004301756,0.000053542037,0.001270984,0.000009999435,0.00007116415,0.0000674959,0.00007989824,0.98964894,0.000070872506,0.008231503,0.0004252951,0.000027222843],"about_ca_topic_score_codex":0.09183734,"about_ca_topic_score_gemma":0.030502446,"teacher_disagreement_score":0.09183734,"about_ca_system_score_codex":0.0034280773,"about_ca_system_score_gemma":0.0047970833,"threshold_uncertainty_score":0.18260556},"labels":[],"label_agreement":null},{"id":"W2031891495","doi":"10.1006/jtbi.2001.2476","title":"A Model for the Enhancement of Fitness in Cyanobacteria Based on Resonance of a Circadian Oscillator with the External Light–Dark Cycle","year":2002,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Circadian rhythm and melatonin","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Circadian rhythm; Circadian clock; Physics; Biology; Period (music); Light Cycle; Phase (matter); Biophysics; Biological system; Neuroscience; Quantum mechanics","score_opus":0.020036335981203326,"score_gpt":0.2545225590114886,"score_spread":0.2344862230302853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031891495","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42816994,0.0010719887,0.5074253,0.006981993,0.00060926576,0.000117948046,0.00038860866,0.00055196666,0.054682974],"genre_scores_gemma":[0.97302276,0.0003848386,0.014456464,0.0003585175,0.00012764234,0.00015203492,0.000062140614,0.00010132839,0.011334247],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997116,0.000094662595,0.000010120336,0.00006208876,0.00005121178,0.00007026299],"domain_scores_gemma":[0.9993482,0.00028265582,0.00007481916,0.00004926397,0.00007095663,0.00017401352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000664675,0.0006158037,0.0010709475,0.0006143976,0.0010082897,0.0013209141,0.0021933068,0.002418294,0.005922001],"category_scores_gemma":[0.0020038986,0.00031764532,0.0009863827,0.0004214347,0.0014113225,0.0018124371,0.0012073956,0.0010843172,0.0006153965],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009954771,0.00009737122,0.0012241348,0.00012765125,0.00007934425,0.0005362893,0.0003048005,0.36550844,0.0190692,0.6047395,0.0024484892,0.0057653016],"study_design_scores_gemma":[0.000069222464,0.00006422536,0.0007901222,0.000011925517,0.000025929156,0.00013147922,0.000054977525,0.85092425,0.00034370017,0.14657885,0.0009611666,0.00004412932],"about_ca_topic_score_codex":0.0041478267,"about_ca_topic_score_gemma":0.0028455495,"teacher_disagreement_score":0.005922001,"about_ca_system_score_codex":0.0013226093,"about_ca_system_score_gemma":0.0008842975,"threshold_uncertainty_score":0.019811034},"labels":[],"label_agreement":null},{"id":"W2032555945","doi":"10.1016/j.jtbi.2008.04.013","title":"Exposure of biofilms to slow flow fields: The convective contribution to growth and disinfection","year":2008,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Bacterial biofilms and quorum sensing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Mechanics; Convection; Flow (mathematics); Reynolds number; Biofilm; Diffusion; Convective flow; Flow conditions; Mass transfer; Environmental science; Physics; Thermodynamics; Biology; Turbulence; Bacteria","score_opus":0.004915206819402369,"score_gpt":0.22609063889135592,"score_spread":0.22117543207195356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032555945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97169274,0.0025372712,0.021475488,0.0011587673,0.00015772441,0.000032966225,0.000060672464,0.00005804101,0.0028262902],"genre_scores_gemma":[0.9977804,0.00046243734,0.00092698867,0.000043570006,0.000042760872,0.000009574804,0.000015359701,0.000010026043,0.00070880615],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987674,0.000026919628,0.000003489762,0.000020357398,0.00003495636,0.00003760886],"domain_scores_gemma":[0.99946564,0.00029634938,0.00006468296,0.00003159592,0.0000837661,0.00005791008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045585787,0.0004597306,0.0003946612,0.00032447948,0.00049437955,0.0009920468,0.00034814427,0.0007300357,0.0014392135],"category_scores_gemma":[0.0013815338,0.0002587923,0.00030487013,0.00015218025,0.00056801905,0.0008076744,0.00069725857,0.0007069427,0.0001159838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057347596,0.00017178732,0.0066324226,0.0003008763,0.000033677643,0.0002880449,0.00024628153,0.018404843,0.9259866,0.014974902,0.00075550977,0.03163163],"study_design_scores_gemma":[0.00011269897,0.0010152212,0.037498243,0.000064334075,0.00014552083,0.0005769557,0.0006509047,0.42120257,0.50517696,0.029533314,0.0038832638,0.00014011655],"about_ca_topic_score_codex":0.0014904646,"about_ca_topic_score_gemma":0.0007132038,"teacher_disagreement_score":0.0014904646,"about_ca_system_score_codex":0.00066622347,"about_ca_system_score_gemma":0.00040954578,"threshold_uncertainty_score":0.004833758},"labels":[],"label_agreement":null},{"id":"W2032744614","doi":"10.1006/jtbi.2001.2321","title":"Evolutionary Stability Concepts for N–species Frequency-dependent Interactions","year":2001,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Stability (learning theory); Evolutionarily stable strategy; Exponential stability; Biology; Mathematics; Applied mathematics; Control theory (sociology); Evolutionary biology; Physics; Computer science; Mathematical economics; Game theory; Artificial intelligence; Quantum mechanics","score_opus":0.01506423710670562,"score_gpt":0.3153039983354614,"score_spread":0.3002397612287558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032744614","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.124057874,0.0015847099,0.84023094,0.0020443161,0.00024684734,0.00006770245,0.00009437063,0.0000923741,0.031580932],"genre_scores_gemma":[0.94447494,0.0011512506,0.045511488,0.00033052766,0.00047822742,0.0002164278,0.000082096914,0.00007276707,0.0076822396],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993069,0.0002500163,0.00003947443,0.00013557856,0.00018782946,0.00008018253],"domain_scores_gemma":[0.9944752,0.003906144,0.00061125396,0.00028592697,0.00047137207,0.00025015077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032508408,0.0007100598,0.0006202748,0.0027329156,0.0011897739,0.0016993023,0.0021968046,0.001757797,0.003966032],"category_scores_gemma":[0.011862312,0.00037254003,0.0009790045,0.0010429696,0.0025541224,0.005489631,0.0018839488,0.0016209069,0.00040276867],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011932646,0.000013899761,0.00045672464,0.00003250396,0.000026683074,0.000055426724,0.00012287483,0.02812263,0.0009389348,0.9633417,0.0006032826,0.0062732836],"study_design_scores_gemma":[0.000008129767,0.000017021077,0.00048657166,0.000010409718,0.000011169264,0.000086056694,0.000047092082,0.21191105,0.0001934716,0.78634,0.00087419647,0.0000147811315],"about_ca_topic_score_codex":0.000564272,"about_ca_topic_score_gemma":0.00037990426,"teacher_disagreement_score":0.003966032,"about_ca_system_score_codex":0.0013544544,"about_ca_system_score_gemma":0.00045511717,"threshold_uncertainty_score":0.017192304},"labels":[],"label_agreement":null},{"id":"W2032800064","doi":"10.1016/j.jtbi.2005.11.002","title":"Seed and pollen flow in expanding a species’ range","year":2005,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pollen; Biology; Gene flow; Range (aeronautics); Biological dispersal; Ecology; Botany; Evolutionary biology; Gene; Genetics; Population; Genetic variation","score_opus":0.02484979368668132,"score_gpt":0.23119717197799972,"score_spread":0.20634737829131838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032800064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99429804,0.000077031764,0.0018005172,0.00018658792,0.000004973742,0.000002910494,0.0000105335685,0.0000039726688,0.0036154664],"genre_scores_gemma":[0.9992588,0.00002988704,0.00035621767,0.000011382148,0.000008890747,0.0000021798044,0.0000061580945,0.0000017955958,0.00032455244],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998714,0.00005630533,0.000005545135,0.000025497893,0.0000134387265,0.000027774953],"domain_scores_gemma":[0.9936599,0.005095455,0.00040526874,0.0001287474,0.00017436959,0.0005363089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013825452,0.00010524335,0.00019644432,0.0007650979,0.0005325307,0.00086952606,0.0004412073,0.0007109298,0.004071406],"category_scores_gemma":[0.008382744,0.00022157562,0.00030009347,0.00032134925,0.0011342933,0.0016235511,0.0007390298,0.0007944908,0.00014499713],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017833401,0.00044823397,0.5797154,0.00015951319,0.00020824667,0.0021996398,0.0035671582,0.0631279,0.023965415,0.27032247,0.0012982314,0.053204354],"study_design_scores_gemma":[0.0001727108,0.00032728535,0.6509984,0.000034298886,0.00017862572,0.0015932432,0.0034843616,0.1508336,0.0017081518,0.18866822,0.0019325627,0.00006852634],"about_ca_topic_score_codex":0.0012376255,"about_ca_topic_score_gemma":0.001780671,"teacher_disagreement_score":0.004071406,"about_ca_system_score_codex":0.00039791575,"about_ca_system_score_gemma":0.00018514946,"threshold_uncertainty_score":0.013620257},"labels":[],"label_agreement":null},{"id":"W2032955035","doi":"10.1016/j.jtbi.2014.09.017","title":"Fidelity drive: A mechanism for chaperone proteins to maintain stable mutation rates in prokaryotes over evolutionary time","year":2014,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Mutation rate; Mutation; Biology; Genetics; Mutation Accumulation; Phenotype; Mechanism (biology); Evolutionary biology; Gene","score_opus":0.0039769588367945235,"score_gpt":0.2646329351999773,"score_spread":0.26065597636318283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032955035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8195591,0.0009665406,0.17054561,0.0024971145,0.00032896068,0.00006601444,0.00016478926,0.0008785891,0.0049933405],"genre_scores_gemma":[0.99078876,0.00015018828,0.007429827,0.0001485796,0.000050827934,0.000026213054,0.000039395927,0.00006374916,0.001302534],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99957544,0.00007365712,0.000030227897,0.0001344083,0.00011087136,0.000075406795],"domain_scores_gemma":[0.9971244,0.0008584029,0.0006437982,0.000781631,0.00027484103,0.0003169803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017027517,0.00035178085,0.00053033204,0.00056438794,0.00083317194,0.0012448948,0.001450383,0.0014842213,0.0021638286],"category_scores_gemma":[0.008303212,0.00044033607,0.0005641682,0.00030693025,0.0012924186,0.002471406,0.0015109911,0.0011783185,0.0004843054],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052846473,0.0002312393,0.023699818,0.00062578125,0.00032932372,0.001417772,0.0012103531,0.064827785,0.4910367,0.31915262,0.0032008789,0.093739204],"study_design_scores_gemma":[0.00036620128,0.0012856505,0.019143198,0.00007930556,0.00029121723,0.0051807836,0.0005246016,0.50019693,0.2116921,0.24320361,0.017654758,0.0003816416],"about_ca_topic_score_codex":0.0005658171,"about_ca_topic_score_gemma":0.00040139264,"teacher_disagreement_score":0.0021638286,"about_ca_system_score_codex":0.0009522539,"about_ca_system_score_gemma":0.00060239347,"threshold_uncertainty_score":0.009005129},"labels":[],"label_agreement":null},{"id":"W2033277681","doi":"10.1006/jtbi.2000.2255","title":"Resonance in Periodic Chemotherapy: A Case Study of Acute Myelogenous Leukemia","year":2001,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":70,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Chemotherapy; Context (archaeology); Cell cycle; Leukemia; Bone marrow; Medicine; Cell; Magnetic resonance imaging; Cancer research; Biology; Internal medicine; Radiology; Biochemistry","score_opus":0.006626171558395219,"score_gpt":0.2635991707825153,"score_spread":0.2569729992241201,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033277681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9836047,0.0013325034,0.0019685652,0.002876373,0.00007880033,0.00011851689,0.00009529059,0.00006276689,0.009862524],"genre_scores_gemma":[0.99580413,0.0007803333,0.00120448,0.00047456205,0.000267384,0.000015189635,0.000030005143,0.000022833328,0.0014012732],"study_design_codex":"case_report","study_design_gemma":"case_report","domain_scores_codex":[0.99967015,0.00007567842,0.00002982635,0.00006443751,0.000049515573,0.000110395245],"domain_scores_gemma":[0.99844056,0.0007466435,0.00032125314,0.00010344462,0.0000640212,0.0003241033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033830033,0.0013735004,0.00069945276,0.0021672805,0.0029265594,0.00091041037,0.0009970047,0.0036567042,0.0031839951],"category_scores_gemma":[0.0041719,0.00083937513,0.00068588275,0.0011979076,0.0021774285,0.00091677654,0.0009921537,0.0016759846,0.0007370548],"study_design_candidate":"case_report","study_design_consensus":"case_report","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038995724,0.00003494494,0.004373783,0.000019466395,0.0000040082396,0.9937104,0.00024392137,0.00009722094,0.00027600324,0.00020332249,0.00009852599,0.0008995014],"study_design_scores_gemma":[0.000009141999,0.00006255011,0.0034443452,0.00001109821,0.000015807183,0.9948549,0.00025918143,0.0004088734,0.00031135452,0.00024837273,0.0003655333,0.000008802244],"about_ca_topic_score_codex":0.0033120087,"about_ca_topic_score_gemma":0.0036490385,"teacher_disagreement_score":0.0036567042,"about_ca_system_score_codex":0.0012383261,"about_ca_system_score_gemma":0.00052762224,"threshold_uncertainty_score":0.010651529},"labels":[],"label_agreement":null},{"id":"W2033615074","doi":"10.1016/j.jtbi.2005.12.019","title":"Potential role of natural enemies during tree range expansions following climate change","year":2006,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":87,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Biological dispersal; Ecology; Competition (biology); Context (archaeology); Range (aeronautics); Biology; Climate change; Competitor analysis; Geography; Population; Demography","score_opus":0.011208625449068805,"score_gpt":0.2099769717726325,"score_spread":0.1987683463235637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033615074","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99906176,0.000059884926,0.000068360016,0.00003997483,0.000001336238,0.0000019973068,0.000012784572,0.0000013323125,0.0007527398],"genre_scores_gemma":[0.9998149,0.000031551368,0.00003874047,0.00000744406,0.0000021767805,0.0000015046888,0.00001096526,7.812397e-7,0.00009205851],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99994016,0.000018551795,0.0000030160402,0.000009996591,0.000006331995,0.000021992384],"domain_scores_gemma":[0.998922,0.00046785406,0.0002550639,0.00006114887,0.000090970556,0.0002029941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045399836,0.00010135217,0.00015847459,0.0003538865,0.0004735026,0.0005677181,0.00023620471,0.00040449883,0.0020005265],"category_scores_gemma":[0.0023012792,0.00012655964,0.00014080803,0.00013044984,0.00036533552,0.00044709782,0.00038967183,0.00030279352,0.0001232932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025284544,0.00035531848,0.8635065,0.00022252616,0.0002795112,0.0014944425,0.0016984697,0.005058117,0.09238277,0.0031033414,0.00039331467,0.028977232],"study_design_scores_gemma":[0.000026144337,0.00027234064,0.9928323,0.000008362426,0.000055170858,0.00032982646,0.0010830369,0.003149906,0.0010113771,0.00083970494,0.0003831931,0.000008576637],"about_ca_topic_score_codex":0.0015152971,"about_ca_topic_score_gemma":0.006046869,"teacher_disagreement_score":0.0020005265,"about_ca_system_score_codex":0.00022710617,"about_ca_system_score_gemma":0.0001804265,"threshold_uncertainty_score":0.006692469},"labels":[],"label_agreement":null},{"id":"W2034184789","doi":"10.1016/j.jtbi.2010.04.008","title":"A population biological approach to the collective dynamics of countries undergoing demographic transition","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Demographic transition; Population; Population growth; Fertility; Productivity; Birth rate; Per capita income; Socioeconomic status; Per capita; Human capital; Economics; Total fertility rate; Metapopulation; Population size; Geography; Demographic economics; Demography; Economic growth; Family planning; Sociology; Biological dispersal","score_opus":0.011908074259142911,"score_gpt":0.28452164283599174,"score_spread":0.2726135685768488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034184789","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40073228,0.003176829,0.4877114,0.035148032,0.00049586646,0.00011772369,0.00032412988,0.000075274715,0.0722185],"genre_scores_gemma":[0.97396064,0.00121431,0.018383458,0.00045124165,0.0003997097,0.000082329076,0.000050333714,0.00001597967,0.0054419157],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941874,0.00039664278,0.000016788032,0.000055206187,0.000055523305,0.000057176534],"domain_scores_gemma":[0.99774384,0.0015744371,0.00021142105,0.00012283814,0.00016419918,0.00018312607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019887555,0.00033592372,0.0005034704,0.0015999395,0.001225013,0.0024063622,0.0014360326,0.0014405964,0.006711978],"category_scores_gemma":[0.0055445824,0.00026281126,0.00072502124,0.0011340484,0.0031837756,0.003203683,0.0017918105,0.0017545635,0.00024534235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010348042,0.000042692132,0.004573733,0.000031579002,0.000050580038,0.00017429599,0.0009969608,0.054181185,0.00019030305,0.93031836,0.0010398522,0.008390097],"study_design_scores_gemma":[0.00002262813,0.000046171685,0.0042421315,0.000028474618,0.00003097911,0.00018112891,0.0013546917,0.14221275,0.000030386354,0.84784365,0.0039883135,0.000018726167],"about_ca_topic_score_codex":0.0062066987,"about_ca_topic_score_gemma":0.004942861,"teacher_disagreement_score":0.006711978,"about_ca_system_score_codex":0.001645531,"about_ca_system_score_gemma":0.001070596,"threshold_uncertainty_score":0.022453845},"labels":[],"label_agreement":null},{"id":"W2034227647","doi":"10.1016/j.jtbi.2010.03.048","title":"Detecting and estimating rectification of gap junction conductance based on simulations of dual-cell recordings from a pair and a network of coupled cells","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Ottawa","keywords":"Gap junction; Rectification; Conductance; Coupling (piping); Electrophysiology; Biological system; Physics; Biophysics; Chemistry; Intracellular; Computer science; Neuroscience; Voltage; Materials science; Biology; Condensed matter physics","score_opus":0.018387220288498537,"score_gpt":0.2589501639576027,"score_spread":0.24056294366910413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034227647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9217894,0.00008415637,0.07649071,0.0001403945,0.000026633848,0.000022906865,0.000050191233,0.00015829419,0.0012374449],"genre_scores_gemma":[0.9922695,0.00002192774,0.0074727717,0.000011408229,0.0000040600016,0.000011174352,0.0000198694,0.000011072874,0.0001781772],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999261,0.00001666241,0.000005388218,0.000020281508,0.000018771465,0.000012901108],"domain_scores_gemma":[0.99908197,0.00064639904,0.00006722394,0.000052458658,0.00007043899,0.00008163294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033824408,0.00031813144,0.00049509713,0.0002569393,0.0002807664,0.000398066,0.0006636531,0.0010725275,0.0007348225],"category_scores_gemma":[0.0021708566,0.00037782767,0.00041164597,0.00018371642,0.00060946145,0.00077978434,0.0003961358,0.0006435543,0.00008571369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010561938,0.00004591628,0.002911022,0.000033415607,0.000040425868,0.00012416516,0.00007637479,0.9747083,0.017656377,0.0013893525,0.00007846414,0.0028304933],"study_design_scores_gemma":[0.0000035791286,0.000008385368,0.00024316277,8.5161065e-7,0.000003353976,0.000009241162,0.0000043670398,0.9989466,0.0005582153,0.00020591542,0.000014068867,0.0000023012353],"about_ca_topic_score_codex":0.0046035307,"about_ca_topic_score_gemma":0.004569891,"teacher_disagreement_score":0.0046035307,"about_ca_system_score_codex":0.0005939934,"about_ca_system_score_gemma":0.0004680344,"threshold_uncertainty_score":0.009153485},"labels":[],"label_agreement":null},{"id":"W2035150112","doi":"10.1016/j.jtbi.2006.09.015","title":"Impact of quarantine on the 2003 SARS outbreak: A retrospective modeling study","year":2006,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":78,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Mitacs; National Science Council","keywords":"Quarantine; Outbreak; Case fatality rate; Pandemic; Coronavirus disease 2019 (COVID-19); Attack rate; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Middle East respiratory syndrome; Sars virus; Infectious disease (medical specialty); Medicine; Environmental health; Geography; Disease; Virology","score_opus":0.12056986393254085,"score_gpt":0.4371322871240271,"score_spread":0.3165624231914862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035150112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984906,0.000056828114,0.0006353734,0.00016906789,0.000004717549,0.000011412991,0.00039019695,0.000011169553,0.00023059064],"genre_scores_gemma":[0.9989538,0.0000583788,0.00019888136,0.000025290668,0.000006365059,0.0000127184385,0.00043945474,0.0000054672482,0.00029979312],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985044,0.0007903841,0.000087282824,0.0002474387,0.00010038721,0.0002701683],"domain_scores_gemma":[0.9876824,0.0066817496,0.0028300025,0.0016722465,0.0005274286,0.0006061254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052433265,0.0006425207,0.000669568,0.0006395287,0.00055330736,0.0012257617,0.0014098737,0.001934238,0.002351116],"category_scores_gemma":[0.015640566,0.00080264243,0.0014967724,0.00067189545,0.0004900168,0.0010150964,0.00077356695,0.0015852541,0.0006050608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004252949,0.001861854,0.9115356,0.00004537201,0.0008797142,0.00077334564,0.000697957,0.06822122,0.0009150922,0.0018860354,0.0013550852,0.007575807],"study_design_scores_gemma":[0.00041807097,0.0049514836,0.5693707,0.000039223694,0.0012082055,0.0011220493,0.0015329758,0.41566786,0.0013210044,0.0027268517,0.0015237837,0.0001177541],"about_ca_topic_score_codex":0.026543798,"about_ca_topic_score_gemma":0.013697831,"teacher_disagreement_score":0.026543798,"about_ca_system_score_codex":0.0009390586,"about_ca_system_score_gemma":0.00086170045,"threshold_uncertainty_score":0.0527786},"labels":[],"label_agreement":null},{"id":"W2035525459","doi":"10.1016/j.jtbi.2009.10.012","title":"Relatedness with different interaction configurations","year":2009,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Leverhulme Trust; Harvard University","keywords":"Altruism (biology); Variable (mathematics); Inclusive fitness; Population; Mutation; Statistics; Biology; Econometrics; Computer science; Mathematics; Ecology; Demography; Genetics; Sociology","score_opus":0.011329437643394728,"score_gpt":0.31453457920512684,"score_spread":0.3032051415617321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035525459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9754719,0.00014496942,0.007246253,0.00043115483,0.000011794696,0.000035864115,0.00012000086,0.000057328565,0.016480776],"genre_scores_gemma":[0.9981822,0.000020676429,0.00076410855,0.000038268547,0.000006481801,0.0000143832885,0.000060637907,0.000008830184,0.00090463384],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978466,0.0012501155,0.000071204675,0.00035862759,0.00021802682,0.0002553403],"domain_scores_gemma":[0.97259337,0.020345127,0.0013589383,0.0023421643,0.001608328,0.0017520164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037489503,0.00037223578,0.0005436956,0.0013614505,0.0008917175,0.0018606288,0.000670693,0.0015179934,0.013730304],"category_scores_gemma":[0.04355008,0.00031906244,0.0003860612,0.00063716207,0.0014074068,0.002517338,0.0014905717,0.0010947953,0.00080297183],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0053335554,0.0017737339,0.18727356,0.00064370525,0.00093806046,0.001487961,0.008056892,0.06721316,0.09299454,0.5110925,0.0074263224,0.115766115],"study_design_scores_gemma":[0.00038812179,0.0010704701,0.30024442,0.0000920166,0.00066732353,0.002144644,0.0040056873,0.10956363,0.008193955,0.5698755,0.0035155038,0.0002387503],"about_ca_topic_score_codex":0.00048598458,"about_ca_topic_score_gemma":0.00063388527,"teacher_disagreement_score":0.013730304,"about_ca_system_score_codex":0.0006914351,"about_ca_system_score_gemma":0.00030294972,"threshold_uncertainty_score":0.04593247},"labels":[],"label_agreement":null},{"id":"W2035968178","doi":"10.1016/j.jtbi.2008.05.013","title":"Microsatellites that violate Chargaff's second parity rule have base order-dependent asymmetries in the folding energies of complementary DNA strands and may not drive speciation","year":2008,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Jiangsu University; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"DNA; Base pair; Parity (physics); Physics; Base (topology); Genetics; Folding (DSP implementation); Computational biology; Biology; Mathematics; Quantum mechanics","score_opus":0.018858358233657356,"score_gpt":0.2563260493382093,"score_spread":0.23746769110455193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035968178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9766331,0.000053509455,0.018305255,0.00024090242,0.00010126612,0.000010596272,0.00006082249,0.00010684641,0.004487651],"genre_scores_gemma":[0.99748695,0.000016895376,0.0017415202,0.00010200767,0.000012389624,0.0000070075585,0.000032464548,0.000030042182,0.0005706131],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994814,0.00012066143,0.00004564382,0.00010254534,0.00013684812,0.00011290589],"domain_scores_gemma":[0.9965313,0.0016471705,0.0005008153,0.00072548114,0.000262379,0.00033274552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001091228,0.00026065347,0.0005578689,0.000552067,0.0007755096,0.0010455133,0.00055609737,0.0010748212,0.0036649304],"category_scores_gemma":[0.0051039523,0.00030176726,0.00033157723,0.00036872493,0.00113586,0.0011223273,0.0007146966,0.00077087624,0.0005732772],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010838261,0.00017269589,0.051402815,0.0002383017,0.00022475491,0.002446747,0.0003744888,0.008199086,0.6335268,0.25320396,0.0016456215,0.047480915],"study_design_scores_gemma":[0.00031816235,0.0010586727,0.04543498,0.00004906725,0.00020082414,0.008484585,0.00066837814,0.0966129,0.36903444,0.47161338,0.0062797423,0.00024472448],"about_ca_topic_score_codex":0.00015401668,"about_ca_topic_score_gemma":0.00046298007,"teacher_disagreement_score":0.0036649304,"about_ca_system_score_codex":0.00021879273,"about_ca_system_score_gemma":0.00034571267,"threshold_uncertainty_score":0.012260437},"labels":[],"label_agreement":null},{"id":"W2036389814","doi":"10.1006/jtbi.2000.2028","title":"Haldane's Rule: Hybrid Sterility Affects the Heterogametic Sex First because Sexual Differentiation is on the Path to Species Differentiation","year":2000,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Heterogametic sex; Sterility; Sexual differentiation; Path (computing); Biology; Evolutionary biology; Genetics; Computer science; Chromosome; Gene; Computer network","score_opus":0.020217111299353684,"score_gpt":0.28249689496650754,"score_spread":0.2622797836671539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036389814","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31839684,0.0042922827,0.3827059,0.038626347,0.007446779,0.00025619208,0.002477629,0.001942792,0.24385518],"genre_scores_gemma":[0.9332775,0.0010616013,0.030388417,0.009163886,0.00054542534,0.00012097263,0.00032575292,0.00023251424,0.024884002],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984388,0.00018668378,0.00012465338,0.0007401966,0.00032128076,0.00018843025],"domain_scores_gemma":[0.99698657,0.0014554635,0.00023081712,0.00063991867,0.00040497383,0.00028230564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00222506,0.00041403147,0.0020006332,0.0007266894,0.001011483,0.0010770449,0.0016895739,0.0024409902,0.00883168],"category_scores_gemma":[0.0076260082,0.00029225924,0.000695364,0.00030595157,0.00370423,0.0015480821,0.0013324127,0.0043615596,0.0022596933],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006649729,0.00008776424,0.010941448,0.00039450542,0.0004515194,0.0027290888,0.00038314675,0.005053126,0.033781376,0.8284452,0.02678761,0.09028023],"study_design_scores_gemma":[0.00036639805,0.00026449063,0.014256517,0.00006139181,0.00016555868,0.0051467293,0.0002376742,0.013681278,0.01870817,0.9115135,0.035378013,0.00022025149],"about_ca_topic_score_codex":0.0015692045,"about_ca_topic_score_gemma":0.0019794446,"teacher_disagreement_score":0.00883168,"about_ca_system_score_codex":0.0005479922,"about_ca_system_score_gemma":0.0009045411,"threshold_uncertainty_score":0.02954489},"labels":[],"label_agreement":null},{"id":"W2037275908","doi":"10.1016/j.jtbi.2009.09.001","title":"Background evolution in camouflage systems: A predator–prey/pollinator-flower game","year":2009,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Carleton University","funders":"","keywords":"Camouflage; Predation; Predator; Pollinator; Biology; Ecology; Crypsis; Pollination; Pollen","score_opus":0.020448677496157166,"score_gpt":0.2373976268100859,"score_spread":0.21694894931392872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037275908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9695934,0.0010006524,0.019781778,0.0016374171,0.000026787657,0.00003049308,0.00025596,0.00003085576,0.007642736],"genre_scores_gemma":[0.9957983,0.00018046281,0.0027900855,0.00012510135,0.000016714223,0.000010699193,0.000052352556,0.0000070785763,0.001019078],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99960345,0.00015724737,0.000014477971,0.00012931818,0.000035925263,0.00005972018],"domain_scores_gemma":[0.9969785,0.0022603155,0.00032174445,0.000120715406,0.00010834386,0.00021041157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010366269,0.00043975425,0.00045179398,0.00031655366,0.0005788664,0.0010793523,0.0008614636,0.0014571297,0.0060395338],"category_scores_gemma":[0.0042346027,0.00019119945,0.00028620337,0.00034585327,0.00093736197,0.00085090124,0.000681324,0.0005980785,0.00020609838],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010982598,0.00048468006,0.31252986,0.0012876384,0.0006133037,0.0016373718,0.0012739485,0.09616749,0.06806777,0.40810564,0.002476204,0.10625777],"study_design_scores_gemma":[0.0003739298,0.0013668955,0.23565711,0.00019064963,0.0005747092,0.0027407885,0.0018290315,0.36993894,0.007782222,0.3649464,0.014432179,0.00016714325],"about_ca_topic_score_codex":0.00190876,"about_ca_topic_score_gemma":0.0025120596,"teacher_disagreement_score":0.0060395338,"about_ca_system_score_codex":0.00064614293,"about_ca_system_score_gemma":0.0003440941,"threshold_uncertainty_score":0.020204246},"labels":[],"label_agreement":null},{"id":"W2037677991","doi":"10.1016/s0022-5193(03)00228-5","title":"SARS outbreaks in Ontario, Hong Kong and Singapore: the role of diagnosis and isolation as a control mechanism","year":2003,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":297,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Los Alamos National Laboratory; Alfred P. Sloan Foundation; U.S. Department of Energy; National Science Foundation","keywords":"Outbreak; Isolation (microbiology); China; Demography; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Transmission (telecommunications); Coronavirus disease 2019 (COVID-19); Basic reproduction number; Patient isolation; Geography; Medicine; Biology; Virology; Infectious disease (medical specialty); Disease; Computer science; Internal medicine; Population; Sociology; Telecommunications","score_opus":0.05186162299111868,"score_gpt":0.34309350231832053,"score_spread":0.29123187932720185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037677991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951697,0.0002962316,0.00053908466,0.0018302363,0.00001378248,0.000015074327,0.00016260707,0.0000058524615,0.0019674378],"genre_scores_gemma":[0.9992617,0.00012582062,0.00007292147,0.000032253618,0.000007108346,0.0000041117673,0.00003799879,9.2109224e-7,0.00045720412],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991721,0.00031134667,0.000038504757,0.00007480697,0.000077186385,0.00032617868],"domain_scores_gemma":[0.9948757,0.0022453214,0.0015360318,0.00023176507,0.00042546284,0.00068567996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015400772,0.0003228567,0.0005117852,0.00065555825,0.00093347655,0.0014626768,0.000796528,0.00056958426,0.002539823],"category_scores_gemma":[0.006639358,0.00025328746,0.0004628475,0.0007450574,0.0022265457,0.0011322049,0.0011054203,0.0006561214,0.000097613054],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016938932,0.00019995318,0.93129414,0.00012286867,0.00031888913,0.0011433583,0.002824976,0.01427993,0.0020691562,0.027343344,0.0027570117,0.01595238],"study_design_scores_gemma":[0.00029885807,0.0002307736,0.91127026,0.000053242642,0.00035541249,0.00032852608,0.0067269914,0.06966858,0.000542961,0.008892268,0.0015650862,0.00006707855],"about_ca_topic_score_codex":0.72406876,"about_ca_topic_score_gemma":0.6945379,"teacher_disagreement_score":0.27593124,"about_ca_system_score_codex":0.007482518,"about_ca_system_score_gemma":0.0088446755,"threshold_uncertainty_score":0.5551125},"labels":[],"label_agreement":null},{"id":"W2037864750","doi":"10.1016/j.jtbi.2013.09.003","title":"Modeling seasonal behavior changes and disease transmission with application to chronic wasting disease","year":2013,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Prion Diseases and Protein Misfolding","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Population and Public Health; University of Ottawa","funders":"","keywords":"Chronic wasting disease; Wildlife disease; Transmission (telecommunications); Basic reproduction number; Wildlife; Disease; Ecology; Biology; Population; Disease transmission; Seasonality; Infectious disease (medical specialty); Habitat; Demography; Environmental health; Medicine; Computer science","score_opus":0.005410624878722452,"score_gpt":0.251066730823988,"score_spread":0.24565610594526555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037864750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8479682,0.0007243139,0.1454914,0.0014424773,0.00012827096,0.000072439994,0.00038328723,0.00022453805,0.0035650586],"genre_scores_gemma":[0.98585784,0.00033072758,0.009317824,0.0000905898,0.000060187365,0.00007332506,0.00014408019,0.000056102555,0.0040693595],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973875,0.00012100622,0.000011450505,0.00005788206,0.0000170341,0.000053890668],"domain_scores_gemma":[0.99576557,0.0033520323,0.00033679995,0.000108564935,0.00020541149,0.00023170703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013829562,0.00073366135,0.0011194465,0.0007790238,0.00074500235,0.0011513041,0.0016030784,0.002341579,0.0033376715],"category_scores_gemma":[0.006717257,0.00072815135,0.0010731606,0.00076223584,0.0010533254,0.0013218039,0.0009205298,0.0012719387,0.000193726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043932847,0.000081215956,0.0047176937,0.000026943859,0.00004927209,0.000094638905,0.00007390849,0.98425716,0.000310683,0.0074785906,0.0003601787,0.0025058466],"study_design_scores_gemma":[0.0000062752033,0.000010524795,0.00043821728,0.0000015487517,0.000008284485,0.000009294027,0.000015843407,0.9975674,0.000016872393,0.0018617664,0.00006090671,0.0000030490871],"about_ca_topic_score_codex":0.045039304,"about_ca_topic_score_gemma":0.023001092,"teacher_disagreement_score":0.045039304,"about_ca_system_score_codex":0.0013350174,"about_ca_system_score_gemma":0.0010736054,"threshold_uncertainty_score":0.08955425},"labels":[],"label_agreement":null},{"id":"W2037908302","doi":"10.1016/j.jtbi.2012.12.012","title":"Network modularity promotes cooperation","year":2012,"lang":"en","type":"letter","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Scottish Funding Council","keywords":"Modularity (biology); Reputation; Prisoner's dilemma; Population; Evolutionary game theory; Computer science; Dilemma; Social dilemma; Game theory; Mechanism (biology); Biology; Evolutionary biology; Microeconomics; Sociology; Ecology; Economics; Epistemology","score_opus":0.02072242801697654,"score_gpt":0.2982779144250498,"score_spread":0.27755548640807326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037908302","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018030876,0.0016571605,0.004989564,0.9276855,0.009215754,0.000026642401,0.00006731178,0.00009699407,0.038230166],"genre_scores_gemma":[0.55602604,0.0031605538,0.0029590533,0.3794139,0.021033939,0.00016728514,0.0000707202,0.000082763596,0.03708577],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911314,0.00036672715,0.000037321628,0.00017331087,0.00021236678,0.00009712721],"domain_scores_gemma":[0.98944455,0.007307073,0.00054639025,0.00083519693,0.00086399406,0.001002832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002795412,0.0002569954,0.00047132865,0.0005165964,0.0014347557,0.002024176,0.0006052649,0.008775218,0.010249546],"category_scores_gemma":[0.018517956,0.00026486465,0.00034624978,0.00023323034,0.0034681503,0.0022998324,0.0015326015,0.007997727,0.0020921514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005521683,0.00016505204,0.002856441,0.0002143707,0.00008832661,0.0025485028,0.0006227378,0.0013124837,0.0025912786,0.28268155,0.6262669,0.080100246],"study_design_scores_gemma":[0.00056865544,0.00013117812,0.006496538,0.00017968439,0.00007794834,0.0028071308,0.00047680002,0.00731017,0.0029610188,0.7316414,0.24728803,0.00006151326],"about_ca_topic_score_codex":0.00066783687,"about_ca_topic_score_gemma":0.0012766181,"teacher_disagreement_score":0.010249546,"about_ca_system_score_codex":0.0012685898,"about_ca_system_score_gemma":0.0005931728,"threshold_uncertainty_score":0.034288168},"labels":[],"label_agreement":null},{"id":"W2038204337","doi":"10.1016/j.jtbi.2010.05.025","title":"An analysis of the orientation of an orb-web spider","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Spider Taxonomy and Behavior Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Spider; Orb (optics); Orientation (vector space); Wolf spider; Asymmetry; Computer science; Ecology; Biology; Physics; Geometry; Mathematics; Artificial intelligence","score_opus":0.008084777310335647,"score_gpt":0.3035498152857712,"score_spread":0.29546503797543555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038204337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99671316,0.00003234039,0.0013920915,0.000008575302,0.0000017510934,0.0000041145845,0.000060148675,0.000010371417,0.0017775068],"genre_scores_gemma":[0.99885166,0.000019555338,0.000758419,0.0000023824257,0.000001228361,0.0000013525045,0.0000886956,0.0000027640335,0.00027394632],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999615,0.000008704819,0.0000015726932,0.0000071976406,0.000010066798,0.00001103262],"domain_scores_gemma":[0.99983954,0.00003625318,0.000030481107,0.00001078684,0.000049822644,0.00003308472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007658595,0.00012587769,0.000109290144,0.0006275441,0.00024116563,0.00024961587,0.00012175729,0.000114120216,0.0012861786],"category_scores_gemma":[0.00026990316,0.00006273759,0.00017914425,0.00052896293,0.0001371149,0.00009874229,0.00010602805,0.00008990616,0.00023981945],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007328138,0.00019182773,0.37216157,0.00006657856,0.00006919867,0.00065450754,0.00018858141,0.0062510245,0.5652919,0.0035473164,0.00034749333,0.050497144],"study_design_scores_gemma":[0.00002182702,0.00036547857,0.92605877,0.000006833093,0.00006314815,0.00081044756,0.00036769503,0.04325493,0.02686588,0.0010387622,0.0011256511,0.000020450823],"about_ca_topic_score_codex":0.0036860313,"about_ca_topic_score_gemma":0.0032083718,"teacher_disagreement_score":0.0036860313,"about_ca_system_score_codex":0.0002914409,"about_ca_system_score_gemma":0.00022774063,"threshold_uncertainty_score":0.007329166},"labels":[],"label_agreement":null},{"id":"W2039263403","doi":"10.1016/j.jtbi.2010.08.009","title":"Replicator dynamics of reward &amp; reputation in public goods games","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":164,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reputation; Social dilemma; Public good; Replicator equation; Incentive; Punishment (psychology); Microeconomics; Economics; Strong reciprocity; Public goods game; Dilemma; Order (exchange); Evolutionary game theory; Cheating; Prisoner's dilemma; Public economics; Game theory; Social psychology; Repeated game; Psychology; Political science; Sociology","score_opus":0.015726001510017247,"score_gpt":0.3288338318952923,"score_spread":0.31310783038527507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039263403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5731873,0.00189292,0.32170543,0.010515978,0.00027914153,0.00016734705,0.0005898402,0.0003793426,0.091282845],"genre_scores_gemma":[0.98378927,0.0003843947,0.00583748,0.00011482119,0.0000773044,0.000060499413,0.00003878378,0.000032076743,0.009665424],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99863297,0.000813856,0.000042525553,0.00015485886,0.00017629782,0.00017944475],"domain_scores_gemma":[0.9845785,0.010912085,0.0016969979,0.0009148198,0.0008319649,0.0010656968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003415823,0.0006218333,0.001943481,0.000979368,0.0010538659,0.0037213587,0.0027013728,0.004199559,0.0100971805],"category_scores_gemma":[0.026517795,0.00069538254,0.0008441898,0.0008080882,0.00275408,0.004698419,0.0015490043,0.0027334965,0.0008910147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000102384074,0.000049001734,0.0009663145,0.00007017608,0.000043117045,0.00026501104,0.0003534805,0.111926414,0.001223501,0.87802225,0.002703062,0.004275257],"study_design_scores_gemma":[0.00008428484,0.000035347388,0.00054637966,0.000024913315,0.000020663438,0.00011543533,0.000113716575,0.5716383,0.00016879642,0.42610607,0.0011074122,0.00003870259],"about_ca_topic_score_codex":0.0032126752,"about_ca_topic_score_gemma":0.0020798163,"teacher_disagreement_score":0.0100971805,"about_ca_system_score_codex":0.0021492203,"about_ca_system_score_gemma":0.0013881524,"threshold_uncertainty_score":0.03377843},"labels":[],"label_agreement":null},{"id":"W2039689365","doi":"10.1016/j.jtbi.2012.08.028","title":"Neutrophil dynamics after chemotherapy and G-CSF: The role of pharmacokinetics in shaping the response","year":2012,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Neutropenia and Cancer Infections","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"National Natural Science Foundation of China","keywords":"Chemotherapy; Neutropenia; Pharmacokinetics; Granulocyte colony-stimulating factor; Medicine; Granulocyte; Internal medicine; Oncology","score_opus":0.008747447742747865,"score_gpt":0.29989458486252624,"score_spread":0.29114713711977835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039689365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9760702,0.0014386068,0.016584093,0.0023214647,0.0000844425,0.00004432146,0.00012234328,0.000082021696,0.0032524175],"genre_scores_gemma":[0.99865746,0.0002466532,0.00057105394,0.00009740908,0.000022705957,0.000011137889,0.000021466263,0.000014759021,0.0003572348],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996487,0.00017639788,0.000012150867,0.000047551155,0.000049435057,0.00006572594],"domain_scores_gemma":[0.99863774,0.0008937616,0.0002046952,0.00009019907,0.00007474002,0.00009885763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083067804,0.00028733365,0.0005497456,0.00020462842,0.00020048373,0.0009564775,0.00033777053,0.0005789414,0.0018574399],"category_scores_gemma":[0.0060267625,0.00025724596,0.00029083164,0.00013028028,0.0005444579,0.0011545682,0.0004752077,0.0008148863,0.00023858469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009013757,0.0013618391,0.17661953,0.0004684991,0.0003303823,0.0026033514,0.0012129359,0.2730369,0.3321406,0.0670319,0.004495559,0.13168482],"study_design_scores_gemma":[0.00036446122,0.0027817646,0.119025536,0.00007789232,0.00020042683,0.0016577156,0.00071035995,0.76837,0.038061753,0.06339759,0.0052292366,0.00012329993],"about_ca_topic_score_codex":0.0010181677,"about_ca_topic_score_gemma":0.0006832539,"teacher_disagreement_score":0.0018574399,"about_ca_system_score_codex":0.00080035086,"about_ca_system_score_gemma":0.0008653063,"threshold_uncertainty_score":0.0062137246},"labels":[],"label_agreement":null},{"id":"W2040910157","doi":"10.1016/j.jtbi.2005.02.021","title":"Effects of phosphorus intake on phosphorus flow in growing pigs: Application and comparison of two models","year":2005,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Fern; Phosphorus; Blood flow; Animal science; Biology; Chemistry; Internal medicine; Medicine; Botany","score_opus":0.012205051372597975,"score_gpt":0.26655027349983174,"score_spread":0.25434522212723376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040910157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92908764,0.0007611189,0.0658141,0.000431173,0.000065188615,0.00013025252,0.00033779215,0.00012914289,0.003243457],"genre_scores_gemma":[0.9905324,0.00054521294,0.007036862,0.000055214026,0.000025082509,0.0001164083,0.00014584868,0.00004592927,0.0014970554],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965656,0.00018904406,0.000012090739,0.00006313333,0.000039100876,0.000040196865],"domain_scores_gemma":[0.9967123,0.0028972926,0.0001428141,0.000094035226,0.000095068295,0.000058523874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015259534,0.0008120516,0.0010780981,0.0004289154,0.00023790028,0.00093497237,0.0012452494,0.0017675044,0.001086218],"category_scores_gemma":[0.00411386,0.0004260925,0.0016752516,0.0004860656,0.0007547433,0.00068737735,0.00052186806,0.00058347645,0.00013997334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0076948064,0.0012425529,0.011071901,0.000629996,0.00062399445,0.00037794933,0.00025936728,0.9314296,0.023019323,0.007420743,0.0004944929,0.015735272],"study_design_scores_gemma":[0.00043840538,0.0007474426,0.0074598384,0.000018569348,0.00030513213,0.00007576233,0.00003174305,0.9857319,0.0028823267,0.0019872745,0.00027659716,0.000044951827],"about_ca_topic_score_codex":0.0095006265,"about_ca_topic_score_gemma":0.0033204437,"teacher_disagreement_score":0.0095006265,"about_ca_system_score_codex":0.0006024813,"about_ca_system_score_gemma":0.0007535456,"threshold_uncertainty_score":0.01889062},"labels":[],"label_agreement":null},{"id":"W2041289340","doi":"10.1016/j.jtbi.2008.06.020","title":"Projected effects of climate change on tick phenology and fitness of pathogens transmitted by the North American tick Ixodes scapularis","year":2008,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":131,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; Queen's University; Impact; Public Health Agency of Canada; Université de Montréal","funders":"","keywords":"Ixodes scapularis; Tick; Biology; Population; Ecology; Peromyscus; Borrelia; Phenology; Climate change; Vector (molecular biology); Zoology; Borrelia burgdorferi; Demography; Ixodidae","score_opus":0.008105837283671695,"score_gpt":0.23461828437937768,"score_spread":0.22651244709570598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041289340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948822,0.00041125258,0.00080809166,0.00088526984,0.00005523571,0.00000626757,0.0015188655,0.000034674875,0.0013982193],"genre_scores_gemma":[0.99871004,0.00024610953,0.00027514738,0.00007379962,0.000013480847,0.0000083387295,0.00043138317,0.0000063534517,0.00023546547],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982554,0.000063107764,0.0000108725135,0.000030626867,0.000019353645,0.000050612125],"domain_scores_gemma":[0.99922633,0.0002247202,0.00015482192,0.00003702754,0.00019462923,0.00016240386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071282464,0.00051988306,0.00024366574,0.0003674403,0.00050168857,0.0007056607,0.00041456046,0.0009945257,0.003180474],"category_scores_gemma":[0.0015019358,0.0002842566,0.00063909456,0.00042636026,0.00045237644,0.00075961195,0.000529895,0.0005963484,0.00033668466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002498625,0.00035780552,0.69540495,0.00034161846,0.0005801197,0.0012049272,0.00041037906,0.24509928,0.021064917,0.0043453644,0.0056715542,0.023020538],"study_design_scores_gemma":[0.00007708674,0.00031075408,0.89142746,0.00003801062,0.00023302966,0.0003661211,0.00080082414,0.09950153,0.002206494,0.0022690904,0.0027066728,0.00006283577],"about_ca_topic_score_codex":0.02238101,"about_ca_topic_score_gemma":0.03157803,"teacher_disagreement_score":0.977619,"about_ca_system_score_codex":0.0015143269,"about_ca_system_score_gemma":0.00057650043,"threshold_uncertainty_score":0.044501483},"labels":[],"label_agreement":null},{"id":"W2041999006","doi":"10.1006/jtbi.2001.2424","title":"Cooperative Boundary Populations: the Evolution of Cooperation on Mortality Risk Gradients","year":2001,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Dilemma; Mechanism (biology); Boundary (topology); Range (aeronautics); Population; Prisoner's dilemma; Ecology; Biology; Computer science; Microeconomics; Economics; Game theory; Mathematics; Demography; Physics","score_opus":0.028287816615770983,"score_gpt":0.3476073808241349,"score_spread":0.31931956420836394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041999006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97371984,0.00016130196,0.019626854,0.0006467035,0.00001446582,0.000010216164,0.000022399672,0.000031497995,0.0057666693],"genre_scores_gemma":[0.99730194,0.000055419336,0.0019833827,0.000044004588,0.0000064006,0.000008348386,0.000011908208,0.000008301361,0.0005803022],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994344,0.0002925172,0.000012947283,0.00009923358,0.000057266272,0.0001035162],"domain_scores_gemma":[0.99648535,0.0019594133,0.0005058516,0.00031750425,0.00026545787,0.0004664503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018861432,0.00024220166,0.00070999615,0.00072506897,0.0010551156,0.0026769484,0.0009327622,0.0019328626,0.0035169339],"category_scores_gemma":[0.011198653,0.0003652321,0.00038119688,0.0004064752,0.0023990315,0.0021165593,0.002103558,0.0012272717,0.00035293185],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005969976,0.0003725299,0.08716056,0.00019615395,0.00034135097,0.0011545189,0.007767697,0.12483539,0.0405746,0.64744896,0.005614291,0.0839369],"study_design_scores_gemma":[0.00018660119,0.0003550814,0.0838722,0.0000607723,0.00017990293,0.0011440404,0.0041579036,0.30980873,0.0015328791,0.5958062,0.0027565693,0.00013918456],"about_ca_topic_score_codex":0.0015853046,"about_ca_topic_score_gemma":0.0016356098,"teacher_disagreement_score":0.0035169339,"about_ca_system_score_codex":0.0007105285,"about_ca_system_score_gemma":0.00047693757,"threshold_uncertainty_score":0.011765361},"labels":[],"label_agreement":null},{"id":"W2043897351","doi":"10.1016/j.jtbi.2004.03.011","title":"Intrinsic and external noise in an auto-regulatory genetic network","year":2004,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Negative feedback; Positive feedback; Noise (video); Physics; Messenger RNA; Fano factor; Control theory (sociology); Biological system; Statistical physics; Biology; Gene; Computer science; Genetics; Control (management); Quantum mechanics; Shot noise; Engineering; Optics","score_opus":0.0044680307681030955,"score_gpt":0.23705296841900134,"score_spread":0.23258493765089824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043897351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6773411,0.00013119257,0.31920958,0.00042244018,0.000016121494,0.000017750006,0.000074922275,0.0001517792,0.0026350152],"genre_scores_gemma":[0.9908894,0.00009132043,0.007664005,0.00002198387,0.000014341045,0.000019334571,0.000029249984,0.000026208692,0.0012441995],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960655,0.00015637091,0.000013148747,0.00008456997,0.00008810691,0.00005134263],"domain_scores_gemma":[0.99291927,0.0057652,0.0005273748,0.0002619853,0.00025965713,0.00026654097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012149643,0.00033244703,0.0005534627,0.00067923026,0.00035099193,0.0009680843,0.00088957004,0.00071828434,0.0011595169],"category_scores_gemma":[0.0072491555,0.0004065688,0.00042262147,0.00043557948,0.0014188571,0.0014494357,0.0006907205,0.0008622117,0.00008603059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001441248,0.00006710887,0.0042008804,0.000049648563,0.000042731754,0.00026194775,0.00012941682,0.754704,0.01179645,0.2223069,0.00018800376,0.0061087804],"study_design_scores_gemma":[0.000008315818,0.000011353798,0.0006777077,0.0000029527735,0.000010385163,0.000029334838,0.000012096526,0.9694547,0.000718209,0.029006597,0.00006239672,0.000005940118],"about_ca_topic_score_codex":0.0016222734,"about_ca_topic_score_gemma":0.0017253114,"teacher_disagreement_score":0.0016222734,"about_ca_system_score_codex":0.0009770859,"about_ca_system_score_gemma":0.000527052,"threshold_uncertainty_score":0.0070892572},"labels":[],"label_agreement":null},{"id":"W2044837664","doi":"10.1016/j.jtbi.2010.11.024","title":"Multistability in an age-structured model of hematopoiesis: Cyclical neutropenia","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Blood disorders and treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Mitacs; National Natural Science Foundation of China","keywords":"Multistability; Haematopoiesis; Neutropenia; Oscillation (cell signaling); Medicine; Mathematics; Internal medicine; Biology; Physics; Cell biology; Stem cell; Chemotherapy; Biochemistry","score_opus":0.008264777943970446,"score_gpt":0.2802088270775001,"score_spread":0.27194404913352965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044837664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78498083,0.00060428545,0.18782239,0.0048896107,0.00019231762,0.00006578831,0.000412626,0.0003518019,0.020680407],"genre_scores_gemma":[0.99106807,0.00018770181,0.0032116636,0.00017889071,0.00006213737,0.00004754479,0.00007538115,0.00004209689,0.005126561],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957997,0.00016027562,0.000016764181,0.00007097213,0.00006153107,0.00011055247],"domain_scores_gemma":[0.99723935,0.0013431335,0.00045563397,0.00015097678,0.00029384374,0.00051701383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011885444,0.0006649278,0.0015918396,0.0011060855,0.0009535204,0.0020514063,0.001569865,0.002572364,0.0031712865],"category_scores_gemma":[0.005965931,0.0006072654,0.0009841326,0.0005714309,0.0026059116,0.0018539026,0.0017540517,0.0016143827,0.00026107332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013305123,0.00009617746,0.0030338427,0.00007394308,0.00009007514,0.0007546597,0.00028575142,0.66637605,0.0029510949,0.32123736,0.0021484564,0.0028195663],"study_design_scores_gemma":[0.00003803607,0.000026011621,0.00046786465,0.000006592027,0.000015694985,0.00007734903,0.0000364479,0.94164896,0.00007279218,0.057411212,0.00018020827,0.00001887442],"about_ca_topic_score_codex":0.0063017514,"about_ca_topic_score_gemma":0.0032092703,"teacher_disagreement_score":0.0063017514,"about_ca_system_score_codex":0.0011276176,"about_ca_system_score_gemma":0.001045851,"threshold_uncertainty_score":0.012530148},"labels":[],"label_agreement":null},{"id":"W2045924769","doi":"10.1016/j.jtbi.2007.01.012","title":"Why a simple model of genetic regulatory networks describes the distribution of avalanches in gene expression data","year":2007,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":152,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Simple (philosophy); Statistical physics; Value (mathematics); Expression (computer science); Distribution (mathematics); Node (physics); Exponent; Mathematics; Computer science; Applied mathematics; Physics; Statistics; Mathematical analysis; Quantum mechanics","score_opus":0.015444532452641558,"score_gpt":0.2624500061486219,"score_spread":0.24700547369598036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045924769","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22809404,0.0005693153,0.75590575,0.0068529947,0.00020852224,0.00009706706,0.00042331775,0.0007076063,0.007141366],"genre_scores_gemma":[0.95493484,0.0005484994,0.03947601,0.00078602,0.00016037446,0.00012713831,0.00024839872,0.00023251974,0.0034863118],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991866,0.000301639,0.00004088594,0.00018230641,0.00015713382,0.00013151442],"domain_scores_gemma":[0.9909478,0.0064310576,0.00043566717,0.0011235714,0.000664232,0.00039768722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035513379,0.0004549918,0.0012364661,0.0010909578,0.00070517475,0.0022913008,0.0021400352,0.0025367602,0.0026703402],"category_scores_gemma":[0.024032628,0.0006669568,0.001081469,0.0010035569,0.001641955,0.0065785064,0.0008977588,0.0019226822,0.00063242496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013363226,0.00012437995,0.0072007356,0.0002588062,0.00014333845,0.00039434,0.00033981397,0.43593958,0.0057762614,0.5295155,0.004926945,0.0152467685],"study_design_scores_gemma":[0.000026389765,0.000015110625,0.0007790593,0.000012724907,0.000012905983,0.00019403435,0.000028220162,0.63483334,0.00029995365,0.36327696,0.0005025357,0.000018684024],"about_ca_topic_score_codex":0.0029660084,"about_ca_topic_score_gemma":0.002273029,"teacher_disagreement_score":0.0035513379,"about_ca_system_score_codex":0.0015354311,"about_ca_system_score_gemma":0.0011549164,"threshold_uncertainty_score":0.018781483},"labels":[],"label_agreement":null},{"id":"W2046199531","doi":"10.1016/j.jtbi.2010.02.027","title":"Development of a mathematical model that predicts the outcome of hormone therapy for prostate cancer","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":139,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver General Hospital","funders":"Health Canada","keywords":"Prostate cancer; Androgen suppression; Cancer; Testosterone (patch); Hormone; Medicine; Prostate-specific antigen; Prostate; Internal medicine; Endocrinology; Oncology; Urology","score_opus":0.054017032873421016,"score_gpt":0.3838090427708154,"score_spread":0.3297920098973944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046199531","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14452353,0.00061639503,0.8131486,0.007518472,0.00021320576,0.00010108134,0.000729164,0.0003161078,0.03283337],"genre_scores_gemma":[0.9138216,0.00052141026,0.07231305,0.00044612424,0.0001534967,0.00027645327,0.00035168565,0.000105681924,0.012010507],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997451,0.00012439699,0.00001043097,0.00003472755,0.000037806174,0.000047492336],"domain_scores_gemma":[0.99629825,0.0030140276,0.0002542846,0.000086778746,0.00024312368,0.00010358852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012837523,0.000503278,0.00088686525,0.0007094621,0.0005985955,0.0011359726,0.0016258446,0.0018563211,0.0052024215],"category_scores_gemma":[0.007199712,0.0006309556,0.0007800229,0.0005028656,0.000991026,0.0013280299,0.0010161961,0.0014558106,0.00044686583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014540004,0.0000317354,0.00095996755,0.000023728675,0.000021749936,0.00006465938,0.000033697273,0.9138389,0.00024268031,0.081654325,0.0008556693,0.0022583154],"study_design_scores_gemma":[0.000007987469,0.0000058041505,0.00007802748,0.000002787644,0.0000046228456,0.00001125076,0.0000051213,0.98775417,0.000035553174,0.01190709,0.00018374158,0.0000038197495],"about_ca_topic_score_codex":0.010276684,"about_ca_topic_score_gemma":0.0064527476,"teacher_disagreement_score":0.010276684,"about_ca_system_score_codex":0.0014330156,"about_ca_system_score_gemma":0.0023064557,"threshold_uncertainty_score":0.020433724},"labels":[],"label_agreement":null},{"id":"W2046201867","doi":"10.1006/jtbi.1999.1049","title":"Stochastic Variation in Food Availability Influences Weight and Age at Maturity","year":2000,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; D-Wave Systems (Canada)","funders":"","keywords":"Foraging; Variation (astronomy); Variance (accounting); Pupa; Biology; Growth rate; Statistics; Econometrics; Ecology; Mathematics; Larva; Economics","score_opus":0.005015664512505617,"score_gpt":0.22740145977117157,"score_spread":0.22238579525866595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046201867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99901724,0.000046933455,0.0006474813,0.00003120574,0.0000036767049,0.0000018429981,0.00004138266,0.000009868664,0.00020043904],"genre_scores_gemma":[0.9996455,0.000020021544,0.0001004157,0.0000105848985,0.0000031562072,0.000001367864,0.000034193865,0.000007384061,0.00017743817],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99949276,0.00022755732,0.00002642372,0.00012912297,0.0000414257,0.000082598664],"domain_scores_gemma":[0.9885444,0.008185173,0.0015728697,0.0005949553,0.00023994391,0.0008626081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015844828,0.00027795145,0.00037645374,0.00052474765,0.00022750862,0.0008465887,0.0004475229,0.00084053003,0.003394784],"category_scores_gemma":[0.008135129,0.0004952481,0.000560375,0.00035850483,0.00057473383,0.00039012605,0.00046833255,0.0007282097,0.00039967557],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001386566,0.00028706167,0.94883096,0.000035559107,0.0005104229,0.000365769,0.00034132265,0.005327491,0.033836454,0.0010552538,0.00021401448,0.0078090765],"study_design_scores_gemma":[0.000015522806,0.00015555107,0.98932767,0.0000036879112,0.00009285278,0.00020211865,0.00008272686,0.00878659,0.00040787485,0.00083216507,0.000081721126,0.000011588752],"about_ca_topic_score_codex":0.0019160587,"about_ca_topic_score_gemma":0.003994025,"teacher_disagreement_score":0.003394784,"about_ca_system_score_codex":0.00029446036,"about_ca_system_score_gemma":0.00023755692,"threshold_uncertainty_score":0.011356652},"labels":[],"label_agreement":null},{"id":"W2046647799","doi":"10.1006/jtbi.2000.2193","title":"Channel Sharing in Pancreatic β -Cells Revisited: Enhancement of Emergent Bursting by Noise","year":2000,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"stochastic dynamics and bifurcation","field":"Physics and Astronomy","cited_by":87,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Bursting; Coupling (piping); Tonic (physiology); Population; Physics; Noise (video); Bifurcation; Neuroscience; Biophysics; Control theory (sociology); Biological system; Computer science; Biology; Materials science; Nonlinear system; Artificial intelligence","score_opus":0.005742446443743043,"score_gpt":0.24871798566297684,"score_spread":0.2429755392192338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046647799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9372313,0.00076329557,0.050640553,0.0021109541,0.00014068969,0.000016188165,0.000035728797,0.00011722139,0.0089440225],"genre_scores_gemma":[0.99845445,0.00015773039,0.0009862786,0.00004320358,0.000039409326,0.000003100886,0.0000032866656,0.000007048191,0.00030559252],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997913,0.00004875247,0.000011390788,0.00004729151,0.00004304003,0.000058200734],"domain_scores_gemma":[0.99855584,0.0006696595,0.00021373213,0.00017283038,0.00011964979,0.0002682098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072922494,0.0002716491,0.0008490033,0.00032414615,0.00050665694,0.0014952873,0.0011740017,0.0010633472,0.001587841],"category_scores_gemma":[0.002973217,0.0002482753,0.0004108746,0.0002102358,0.0012170202,0.0018821196,0.0012371701,0.0007573467,0.00012971183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068527553,0.00022912293,0.009371549,0.0003235781,0.00013926356,0.0031177646,0.00094070117,0.1968894,0.19811392,0.56117254,0.0021040405,0.026912944],"study_design_scores_gemma":[0.00006982409,0.00016244996,0.005004553,0.00003323238,0.00005326638,0.00079808,0.00036187144,0.7749712,0.0053872354,0.21233144,0.00077536545,0.000051533592],"about_ca_topic_score_codex":0.00041591388,"about_ca_topic_score_gemma":0.00024692804,"teacher_disagreement_score":0.001587841,"about_ca_system_score_codex":0.0005762997,"about_ca_system_score_gemma":0.00034156212,"threshold_uncertainty_score":0.0053118467},"labels":[],"label_agreement":null},{"id":"W2047397401","doi":"10.1016/j.jtbi.2008.09.008","title":"A model of growth restraints to explain the development and evolution of tooth shapes in mammals","year":2008,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"dental development and anomalies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Buckle; Ectoderm; Morphogenesis; Anatomy; Biology; Interface (matter); Biological system; Geometry; Mechanics; Mathematics; Cell biology; Embryogenesis; Physics; Engineering; Embryo; Structural engineering; Genetics","score_opus":0.0152755297255621,"score_gpt":0.24358346687157995,"score_spread":0.22830793714601785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047397401","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3684772,0.0022476288,0.51346004,0.01868819,0.00064927875,0.000083388964,0.0007811173,0.00076638174,0.094846785],"genre_scores_gemma":[0.93945146,0.0011493396,0.039253544,0.00059352163,0.00018199827,0.00014822157,0.00019741073,0.00016266447,0.018861871],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99974793,0.00006988022,0.000012689316,0.00005764368,0.00005757649,0.000054297885],"domain_scores_gemma":[0.99938226,0.00024278235,0.000074740616,0.000081926264,0.00009851161,0.000119787765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067103026,0.0004856331,0.00065271946,0.0008873732,0.00091329834,0.0013071527,0.0027509741,0.0023266852,0.0068140216],"category_scores_gemma":[0.0019501547,0.00051910867,0.001165328,0.00069652067,0.0018406116,0.0019272151,0.001098606,0.001388348,0.0014234044],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067574576,0.00003803293,0.0017337286,0.000076958204,0.000038898925,0.00053559506,0.00031847117,0.20325737,0.0075208675,0.7765692,0.0020270306,0.007816241],"study_design_scores_gemma":[0.00007198911,0.000078554396,0.0016628118,0.000020890213,0.000027825514,0.00051323406,0.000129846,0.3536801,0.0005081306,0.6387976,0.004460144,0.00004885561],"about_ca_topic_score_codex":0.0050351433,"about_ca_topic_score_gemma":0.0029038345,"teacher_disagreement_score":0.0068140216,"about_ca_system_score_codex":0.0010885518,"about_ca_system_score_gemma":0.0010118416,"threshold_uncertainty_score":0.0227952},"labels":[],"label_agreement":null},{"id":"W2048152819","doi":"10.1016/j.jtbi.2009.06.026","title":"A pharmacologically based multiscale mathematical model of angiogenesis and its use in investigating the efficacy of a new cancer treatment strategy","year":2009,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":85,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Cancer Research; Université de Lyon; Institut National Du Cancer","keywords":"Angiogenesis; Endostatin; Cancer; Clinical trial; Medicine; Cancer research; Computational biology; Bioinformatics; Pharmacology; Biology; Pathology; Internal medicine","score_opus":0.1123492099158913,"score_gpt":0.3735838912583444,"score_spread":0.2612346813424531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048152819","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19157739,0.0012503295,0.78889316,0.0044125663,0.00033502575,0.00009869395,0.0002620718,0.0002474162,0.012923349],"genre_scores_gemma":[0.9542901,0.0007329467,0.039396066,0.00045379286,0.00017702111,0.00023669774,0.00008358775,0.000049793525,0.004579945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980646,0.00008135851,0.000010512445,0.000034576904,0.000037541824,0.000029642031],"domain_scores_gemma":[0.99937457,0.00032669996,0.00012968955,0.000040014507,0.000063734,0.00006523551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006978834,0.0008149112,0.0012888341,0.0007491026,0.00042033213,0.0009166779,0.0014743753,0.002300269,0.0013230137],"category_scores_gemma":[0.0018214831,0.00044974012,0.0013187835,0.0004097266,0.001271892,0.0010907,0.0009372004,0.0010934783,0.00014239221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006629129,0.00009383808,0.0005061043,0.000071814065,0.000054474993,0.00017951438,0.000053036973,0.8029905,0.014427646,0.17724457,0.0006137866,0.0036984172],"study_design_scores_gemma":[0.000011255881,0.000027798198,0.000086123626,0.0000018745422,0.0000097338825,0.000020795262,0.000003034884,0.9928098,0.00019534475,0.0066865077,0.00014096439,0.0000068594723],"about_ca_topic_score_codex":0.0028568846,"about_ca_topic_score_gemma":0.0013884552,"teacher_disagreement_score":0.0028568846,"about_ca_system_score_codex":0.0008423405,"about_ca_system_score_gemma":0.0008984931,"threshold_uncertainty_score":0.0061116815},"labels":[],"label_agreement":null},{"id":"W2048446321","doi":"10.1016/j.jtbi.2014.05.039","title":"Lag phase-associated iron accumulation is likely a microbial counter-strategy to host iron sequestration: Role of the ferric uptake regulator (fur)","year":2014,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Iron Metabolism and Disorders","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lag; Regulator; Ferric; FERRIC IRON; Lag time; Siderophore; Biology; Host (biology); Chemistry; Bacteria; Ferrous; Ecology; Biochemistry; Biological system; Gene; Inorganic chemistry; Genetics","score_opus":0.014385786738730968,"score_gpt":0.3074855645281568,"score_spread":0.2930997777894258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048446321","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97517234,0.0028143488,0.015268878,0.0019836666,0.00021174028,0.000052374417,0.00024836764,0.00035664975,0.0038916671],"genre_scores_gemma":[0.9935947,0.00047318364,0.0028678302,0.00019536685,0.0000346979,0.0000131920615,0.00012564751,0.000016483364,0.002678887],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997936,0.000027302269,0.0000093030485,0.00005615772,0.000040787945,0.00007288727],"domain_scores_gemma":[0.9995895,0.00007363525,0.00010386137,0.000061115206,0.00008090845,0.00009089966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003372279,0.00035786373,0.00041976752,0.00031000611,0.0003260299,0.0009608388,0.00031789287,0.00089394674,0.0020305263],"category_scores_gemma":[0.00045568694,0.00017210488,0.00030761634,0.00013183289,0.0005124877,0.00063321745,0.00052141136,0.00064781733,0.0005751262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015280911,0.000033166503,0.0016368068,0.000034921908,0.0000054767106,0.0001747438,0.000027905116,0.00009077086,0.99404365,0.0013752852,0.00015260928,0.0022718052],"study_design_scores_gemma":[0.0000408118,0.0009716375,0.045610875,0.00003415343,0.00003194103,0.0014100993,0.00055806106,0.0065649394,0.93419516,0.0032510865,0.007289332,0.000041936742],"about_ca_topic_score_codex":0.00069056713,"about_ca_topic_score_gemma":0.00054445193,"teacher_disagreement_score":0.0020305263,"about_ca_system_score_codex":0.0004462698,"about_ca_system_score_gemma":0.00047261652,"threshold_uncertainty_score":0.0067927837},"labels":[],"label_agreement":null},{"id":"W2048602909","doi":"10.1016/j.jtbi.2008.02.042","title":"Model for calcium dependent oscillatory growth in pollen tubes","year":2008,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Plant Reproductive Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":91,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Calcium; Turgor pressure; Biophysics; Pollen tube; Tip growth; Growth rate; Viscosity; Exocytosis; Oscillation (cell signaling); Calcium pump; Membrane; Chemistry; Materials science; Mechanics; Biochemistry; Biology; Physics; ATPase; Botany; Pollen; Composite material","score_opus":0.024429555270062346,"score_gpt":0.28048454447364407,"score_spread":0.2560549892035817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048602909","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36827436,0.0016875257,0.54244244,0.010065115,0.0008841028,0.00015669498,0.0011581079,0.0014490313,0.07388256],"genre_scores_gemma":[0.94731116,0.00077644794,0.013464249,0.0005645677,0.00018136192,0.00020967283,0.00024423256,0.0001838606,0.03706445],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998468,0.00003307127,0.0000061964856,0.00004331407,0.000033507473,0.000037064317],"domain_scores_gemma":[0.99947995,0.00025495776,0.000059707847,0.000034819775,0.00008269353,0.00008795178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041793444,0.00091248547,0.0008802975,0.00083151826,0.0007837778,0.001181377,0.0022926365,0.0040113083,0.0057643005],"category_scores_gemma":[0.0020517206,0.00046871707,0.0009315415,0.00049944146,0.0012059084,0.0017290153,0.00092163775,0.0013541572,0.0009079168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017992053,0.00010696611,0.0010765732,0.00016600463,0.000054924963,0.0007722992,0.0002053709,0.55849224,0.023643622,0.40581217,0.0039993576,0.005490541],"study_design_scores_gemma":[0.000045819008,0.000018814579,0.00021557807,0.000006617172,0.0000129486425,0.00007013661,0.000016288002,0.9655613,0.00037319268,0.033258967,0.00040392816,0.000016521182],"about_ca_topic_score_codex":0.0046860683,"about_ca_topic_score_gemma":0.0019664117,"teacher_disagreement_score":0.0057643005,"about_ca_system_score_codex":0.0011676785,"about_ca_system_score_gemma":0.0008144784,"threshold_uncertainty_score":0.019283533},"labels":[],"label_agreement":null},{"id":"W2048646144","doi":"10.1016/j.jtbi.2011.05.032","title":"The effect of temporal variability on persistence conditions in rivers","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Mitacs; Ministry of Natural Resources","keywords":"Persistence (discontinuity); Advection; Environmental science; Exponential function; Hydroelectricity; Flow (mathematics); Population; Constant (computer programming); Ecology; Hydrology (agriculture); Mathematics; Geology; Computer science; Biology; Physics; Geotechnical engineering; Mathematical analysis","score_opus":0.026981704782463777,"score_gpt":0.30331219353994054,"score_spread":0.2763304887574768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048646144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927649,0.00020320363,0.0055942344,0.00048353622,0.00001257732,0.0000035362332,0.000100204066,0.000022580074,0.00081532367],"genre_scores_gemma":[0.999605,0.00004923407,0.0001371155,0.000016985252,0.0000119069555,0.0000023358275,0.000027009015,0.0000066730654,0.00014381905],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875355,0.0005003234,0.00008294578,0.00031015195,0.00008935921,0.00026360364],"domain_scores_gemma":[0.9413838,0.04609323,0.0066576176,0.0028269857,0.0013199827,0.0017183761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004917424,0.00033094242,0.00067498646,0.001019547,0.00081461226,0.0024135204,0.0010500747,0.0022146779,0.002246452],"category_scores_gemma":[0.04268362,0.0005065601,0.0008994516,0.0007786211,0.0024791085,0.0028894297,0.0014970425,0.0014163338,0.00015788169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018176865,0.0003919848,0.7000356,0.00020699846,0.00090255775,0.0017784913,0.0014722262,0.19003382,0.011260669,0.06378458,0.0013511506,0.026964294],"study_design_scores_gemma":[0.0001518527,0.00064296613,0.5104633,0.000052900978,0.00053205615,0.0013074843,0.0015250643,0.35593966,0.0015333368,0.12705074,0.0006185111,0.0001821461],"about_ca_topic_score_codex":0.0032945056,"about_ca_topic_score_gemma":0.0024052167,"teacher_disagreement_score":0.004917424,"about_ca_system_score_codex":0.0008715205,"about_ca_system_score_gemma":0.00053278176,"threshold_uncertainty_score":0.026006162},"labels":[],"label_agreement":null},{"id":"W2048652043","doi":"10.1016/j.jtbi.2014.11.016","title":"A microscale mathematical model for metabolic symbiosis: Investigating the effects of metabolic inhibition on ATP turnover in tumors","year":2014,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fields Institute for Research in Mathematical Sciences; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Glycolysis; Anaerobic glycolysis; Warburg effect; Metabolic pathway; Biology; Biochemistry; Metabolism; Cellular respiration; Cancer cell; Lactate dehydrogenase; Cell biology; Chemistry; Mitochondrion; Enzyme; Cancer","score_opus":0.007049316009387894,"score_gpt":0.25371227708873684,"score_spread":0.24666296107934893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048652043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51311797,0.0017178218,0.43536687,0.00816574,0.00036548247,0.0001010934,0.00080023153,0.0002956963,0.04006912],"genre_scores_gemma":[0.9798609,0.0005044749,0.010642112,0.00030883582,0.000091719914,0.00014713463,0.000120590455,0.00007813159,0.008246078],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979705,0.00006608795,0.000009223354,0.000043018772,0.000037148675,0.000047536992],"domain_scores_gemma":[0.9986149,0.0007268272,0.000266408,0.00006247825,0.00014106461,0.00018832873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007229311,0.0007951016,0.0013321647,0.0005299119,0.0007447093,0.0018442405,0.0019665097,0.00290726,0.0033625527],"category_scores_gemma":[0.0032777789,0.00061464414,0.0009769854,0.00051199115,0.001788169,0.0017989229,0.0016437882,0.0017493464,0.00028020298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045954654,0.000051597886,0.000652083,0.00005117409,0.000032245865,0.00010983002,0.0000579466,0.9137886,0.0029984065,0.08074594,0.00060918013,0.0008570371],"study_design_scores_gemma":[0.0000133417225,0.000010004818,0.000121196754,0.0000021808798,0.0000061047626,0.000008940353,0.000013281739,0.9936325,0.00008119131,0.00597102,0.0001337896,0.000006541227],"about_ca_topic_score_codex":0.012646294,"about_ca_topic_score_gemma":0.0053959745,"teacher_disagreement_score":0.012646294,"about_ca_system_score_codex":0.0017221891,"about_ca_system_score_gemma":0.0018429612,"threshold_uncertainty_score":0.025145352},"labels":[],"label_agreement":null},{"id":"W2048776924","doi":"10.1016/j.jtbi.2008.05.012","title":"Mating rates between sterile and wild codling moths (Cydia pomonella) in springtime: A simulation study","year":2008,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Insect Pheromone Research and Control","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Codling moth; Sterile insect technique; Mating disruption; Orchard; Biology; Mating; PEST analysis; Pheromone; Tortricidae; Population; Zoology; Toxicology; Sex pheromone; Insect; Ecology; Horticulture; Lepidoptera genitalia; Demography","score_opus":0.028434838925613312,"score_gpt":0.2968074379137527,"score_spread":0.26837259898813937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048776924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99938905,0.000010811046,0.00020064581,0.00004406658,0.0000021974804,0.0000028229233,0.000102751415,0.00000960745,0.00023798892],"genre_scores_gemma":[0.99941623,0.000012968388,0.00016859767,0.000011954435,0.0000013836653,0.0000048784605,0.00011869966,0.000006059554,0.0002592201],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983335,0.00006802922,0.000008136151,0.000031341988,0.000012587909,0.0000465494],"domain_scores_gemma":[0.9967738,0.0023301505,0.0002734823,0.00013784009,0.00012306655,0.00036157185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008230919,0.0004002593,0.00038712943,0.00040385846,0.0005730221,0.0007378521,0.0010645062,0.0013437785,0.0021859726],"category_scores_gemma":[0.0026674173,0.00037575548,0.00085029344,0.00042876642,0.0006494924,0.0008879352,0.00041035903,0.0007449534,0.0001954515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016433565,0.001111118,0.20761308,0.000053219286,0.00033246673,0.0008229714,0.0004085988,0.7767533,0.0038617665,0.002275934,0.0014808831,0.0036433581],"study_design_scores_gemma":[0.00017457287,0.00044951652,0.04587941,0.0000056601048,0.00007131544,0.00012350838,0.0005707096,0.95128405,0.0005529258,0.000634424,0.00021989296,0.00003402534],"about_ca_topic_score_codex":0.03702585,"about_ca_topic_score_gemma":0.03460868,"teacher_disagreement_score":0.03702585,"about_ca_system_score_codex":0.0014740946,"about_ca_system_score_gemma":0.00054300803,"threshold_uncertainty_score":0.07362068},"labels":[],"label_agreement":null},{"id":"W2050004238","doi":"10.1016/j.jtbi.2007.09.018","title":"Intrinsic and extrinsic causes of spatial variability across scales in a metacommunity","year":2007,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"James S. McDonnell Foundation","keywords":"Metacommunity; Metapopulation; Ecology; Abundance (ecology); Ecological succession; Patch dynamics; Spatial ecology; Relative species abundance; Scale (ratio); Population; Temporal scales; Habitat; Biology; Geography; Biological dispersal","score_opus":0.012480673662519433,"score_gpt":0.30872466075646715,"score_spread":0.2962439870939477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050004238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963649,0.000023966586,0.0027601412,0.00004791747,0.0000019162237,0.0000038562503,0.000031777225,0.0000138540845,0.0007517861],"genre_scores_gemma":[0.99956185,0.000004965554,0.00032001897,0.0000042036463,0.0000025466222,0.0000024367268,0.000012000339,0.0000039841934,0.000088019406],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99947387,0.00014554062,0.00003336394,0.00014041038,0.00008160407,0.00012527054],"domain_scores_gemma":[0.9923855,0.0038657365,0.0014263744,0.00090777647,0.00070896174,0.000705644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010079036,0.00013380095,0.00031134518,0.0007031411,0.00064950966,0.0012308647,0.0006183965,0.00056000653,0.0020076528],"category_scores_gemma":[0.00963418,0.00028754957,0.00033819393,0.0005248374,0.0013993657,0.00087328703,0.0012621911,0.00047201768,0.00011081462],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023094562,0.00014333491,0.89144623,0.000108728185,0.00027736582,0.0005314295,0.0026468413,0.01905188,0.035104476,0.03222312,0.00057839125,0.017657282],"study_design_scores_gemma":[0.000029456794,0.00006897586,0.9137558,0.000010985011,0.00012188863,0.00049755827,0.0015394222,0.05385925,0.0021417784,0.027490653,0.00044039387,0.000043815886],"about_ca_topic_score_codex":0.001839989,"about_ca_topic_score_gemma":0.004195031,"teacher_disagreement_score":0.0020076528,"about_ca_system_score_codex":0.0004971246,"about_ca_system_score_gemma":0.00027803998,"threshold_uncertainty_score":0.006716311},"labels":[],"label_agreement":null},{"id":"W2050942371","doi":"10.1016/j.jtbi.2011.07.008","title":"A mathematical model to distinguish sociological and biological susceptibility factors in disease transmission in the context of H1N1/09 influenza","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Centers for Disease Control and Prevention; World Health Organization; National Science Foundation","keywords":"Disease; Demography; Context (archaeology); Pandemic; Vulnerability (computing); Transmission (telecommunications); Population; Biology; Medicine; Coronavirus disease 2019 (COVID-19); Infectious disease (medical specialty); Sociology; Computer science; Pathology","score_opus":0.18504359050143968,"score_gpt":0.41118237921239004,"score_spread":0.22613878871095036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050942371","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2841698,0.0020457404,0.61653185,0.025387362,0.00077229727,0.00017179044,0.0014669199,0.00022941407,0.06922487],"genre_scores_gemma":[0.94731414,0.00083011587,0.02555498,0.00084939797,0.00042339702,0.0003085268,0.00030572992,0.000054141346,0.024359629],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994103,0.00033504708,0.000019653144,0.000066418426,0.000051343613,0.000117305666],"domain_scores_gemma":[0.99653566,0.0025243252,0.00034825804,0.00009530561,0.00022077437,0.00027565076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017056259,0.00070915086,0.001112531,0.0009958512,0.000975225,0.0018044172,0.0020377056,0.002569263,0.0061181257],"category_scores_gemma":[0.007112621,0.0005296483,0.0009537802,0.0007325086,0.001331779,0.0026419167,0.0016648069,0.0020345324,0.0005533788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051835472,0.00014053824,0.0027483457,0.000056098954,0.00008467604,0.00027648182,0.0002484355,0.42873344,0.0005874351,0.5605153,0.003517763,0.0030397428],"study_design_scores_gemma":[0.00004662449,0.00003554003,0.00050221005,0.000012849939,0.000027803237,0.000073878764,0.00008635391,0.91653323,0.00003120992,0.08169053,0.0009364199,0.000023407247],"about_ca_topic_score_codex":0.012956744,"about_ca_topic_score_gemma":0.009340637,"teacher_disagreement_score":0.012956744,"about_ca_system_score_codex":0.0019293939,"about_ca_system_score_gemma":0.002215658,"threshold_uncertainty_score":0.025762618},"labels":[],"label_agreement":null},{"id":"W2050948710","doi":"10.1016/j.jtbi.2011.10.017","title":"Neutrophil dynamics in response to chemotherapy and G-CSF","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Neutropenia and Cancer Infections","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Mitacs; National Natural Science Foundation of China","keywords":"Neutropenia; Haematopoiesis; Chemotherapy; Cyclic neutropenia; Granulocyte; Hematopoietic growth factor; Granulocyte colony-stimulating factor; Absolute neutrophil count; Period (music); Congenital Neutropenia; Immunology; Dynamics (music); Medicine; Biology; Cancer research; Oncology; Stem cell; Internal medicine; Cell biology; Physics","score_opus":0.013457928513450111,"score_gpt":0.2933656844281916,"score_spread":0.2799077559147415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050948710","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977016,0.00055213395,0.00029121136,0.000110794565,0.000015531663,0.000011919322,0.00024132509,0.000013787364,0.0010615858],"genre_scores_gemma":[0.9988997,0.00011153097,0.0001051396,0.0000257783,0.0000059540534,0.000011072463,0.00015752,0.000004018365,0.0006792283],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981874,0.000058354835,0.000010163922,0.000025473728,0.000030330442,0.00005708258],"domain_scores_gemma":[0.9993598,0.00029763015,0.00011745041,0.000040556577,0.000071070746,0.0001134351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028969065,0.00011778838,0.00044542772,0.0002552431,0.00017446897,0.00046469408,0.00023188863,0.00039000576,0.0027878655],"category_scores_gemma":[0.0014426811,0.00014916669,0.00017026906,0.00027285898,0.0002725467,0.00028874847,0.00019345172,0.00048058984,0.00050429965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.06383303,0.0009973511,0.12334335,0.0002446531,0.00022140497,0.0022575622,0.0010665809,0.012160107,0.74552196,0.0021864418,0.0026244896,0.045543097],"study_design_scores_gemma":[0.0006105464,0.007974726,0.73284936,0.00004593021,0.00020651917,0.002506605,0.0011301698,0.059866287,0.1842672,0.002678322,0.00777216,0.000092053226],"about_ca_topic_score_codex":0.001194812,"about_ca_topic_score_gemma":0.0012066443,"teacher_disagreement_score":0.0027878655,"about_ca_system_score_codex":0.00044785536,"about_ca_system_score_gemma":0.00029399697,"threshold_uncertainty_score":0.009326339},"labels":[],"label_agreement":null},{"id":"W2050959505","doi":"10.1016/j.jtbi.2012.10.008","title":"A coupled kinematics–energetics model for predicting energy efficient flapping flight","year":2012,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Biomimetic flight and propulsion mechanisms","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Air Force Office of Scientific Research; Brown University","keywords":"Flapping; Kinematics; Wing; Budgerigar; Aerospace engineering; Thrust; Energetics; Aerodynamics; Amplitude; Bird flight; Acoustics; Physics; Computer science; Biology; Engineering; Classical mechanics; Optics; Zoology","score_opus":0.012078627780175703,"score_gpt":0.23680285947510582,"score_spread":0.2247242316949301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050959505","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4204516,0.000988298,0.5479511,0.0010320644,0.0002487586,0.00013427176,0.0004982836,0.0005876534,0.028107964],"genre_scores_gemma":[0.9839091,0.00019714965,0.011378738,0.00008790991,0.000042268348,0.00010824546,0.000107827975,0.00007890006,0.004089948],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998963,0.000025440475,0.000007113451,0.000020547657,0.000026099724,0.000024470626],"domain_scores_gemma":[0.99956447,0.00025608594,0.000042168213,0.000029189716,0.000058354795,0.000049671235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043734003,0.0007166014,0.0011289449,0.00073896954,0.00095768756,0.0010201698,0.001349007,0.0020765676,0.0030871255],"category_scores_gemma":[0.0016832262,0.00095166976,0.0009965897,0.0005536284,0.00088144955,0.0010589688,0.0010799344,0.00094760326,0.0005276604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008364358,0.000008658221,0.00019137857,0.000006287107,0.000008177114,0.000025167477,0.000006922832,0.9969789,0.00027033573,0.0017518284,0.000059969774,0.0006839423],"study_design_scores_gemma":[0.0000037716902,0.0000038357944,0.000065184904,8.327153e-7,0.00000251836,0.00000300722,0.0000014927648,0.99932814,0.000022514072,0.00053378445,0.000033006738,0.0000018746334],"about_ca_topic_score_codex":0.016935645,"about_ca_topic_score_gemma":0.0074092112,"teacher_disagreement_score":0.016935645,"about_ca_system_score_codex":0.0008870017,"about_ca_system_score_gemma":0.0011642799,"threshold_uncertainty_score":0.03367412},"labels":[],"label_agreement":null},{"id":"W2051093359","doi":"10.1016/j.jtbi.2007.10.035","title":"Monte Carlo simulation of a simple gene network yields new evolutionary insights","year":2007,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Monte Carlo method; Gene duplication; Gene; Biology; Phenotype; Function (biology); Computational biology; Computer science; Statistical physics; Simple (philosophy); Stability (learning theory); Biological system; Gene regulatory network; Genetics; Physics; Mathematics; Gene expression; Machine learning; Statistics","score_opus":0.0075387879761822044,"score_gpt":0.2613074207028105,"score_spread":0.2537686327266283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051093359","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48861188,0.00034372858,0.49634737,0.0011397755,0.00010693877,0.000051852956,0.00023130064,0.00042998866,0.012737185],"genre_scores_gemma":[0.9549034,0.00023332087,0.042343218,0.00015136995,0.000048485083,0.0000776202,0.0001383624,0.00013519489,0.0019689454],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997831,0.00010032175,0.000006400316,0.000038923918,0.000044814704,0.00002642167],"domain_scores_gemma":[0.99460584,0.00463328,0.00016517089,0.00028757425,0.00015961088,0.00014852973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009361245,0.0003852344,0.00084116985,0.00070774957,0.00077206676,0.0008784801,0.0009463018,0.0013445773,0.0029665187],"category_scores_gemma":[0.008333469,0.00049621065,0.00064541673,0.0007497536,0.0011732867,0.0016204873,0.00054713787,0.0010499796,0.00022379779],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021948956,0.00002071038,0.000909435,0.000016496237,0.000015985057,0.000044511005,0.000032933327,0.96572024,0.00041973937,0.030944113,0.00020463877,0.0016492053],"study_design_scores_gemma":[0.00000531056,0.0000026275843,0.00008391611,0.0000016278115,0.0000031998486,0.000008240576,0.000003759593,0.98861337,0.00007501373,0.0111193275,0.00008105599,0.0000025888835],"about_ca_topic_score_codex":0.007435081,"about_ca_topic_score_gemma":0.008209387,"teacher_disagreement_score":0.007435081,"about_ca_system_score_codex":0.0009226473,"about_ca_system_score_gemma":0.0010190542,"threshold_uncertainty_score":0.014783621},"labels":[],"label_agreement":null},{"id":"W2051129022","doi":"10.1016/j.jtbi.2005.08.001","title":"Implementation of a Markov model for phylogenetic trees","year":2005,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Phylogenetic tree; Markov chain; Computer science; Tree (set theory); Markov model; Measure (data warehouse); Reliability (semiconductor); Computation; Markov process; Mathematics; Biology; Statistics; Data mining; Algorithm; Machine learning; Combinatorics; Physics; Genetics; Gene","score_opus":0.017961451526284804,"score_gpt":0.3009019542819419,"score_spread":0.2829405027556571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051129022","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012971548,0.000028719114,0.98133665,0.000303824,0.00005563572,0.00006848075,0.0003360374,0.0033338214,0.0015653912],"genre_scores_gemma":[0.33054733,0.00009547095,0.6629846,0.00024056414,0.000075589305,0.00047672325,0.001637991,0.0013029913,0.0026387738],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979929,0.0009483855,0.00014921556,0.0003034337,0.00039964577,0.00020648718],"domain_scores_gemma":[0.9882974,0.007146306,0.0002896772,0.0025012027,0.0013161848,0.00044922513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044110892,0.00050510257,0.00089251436,0.0006444237,0.0012570071,0.0021596423,0.0041010394,0.0025236378,0.012118663],"category_scores_gemma":[0.020425333,0.0010465088,0.0013693841,0.00081411056,0.0006572395,0.0029195563,0.002294723,0.0032452445,0.0031334949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008616241,0.0003157407,0.0039241672,0.0001718437,0.00019012333,0.00024199575,0.00045165012,0.72181,0.004313329,0.15521564,0.008394877,0.10410905],"study_design_scores_gemma":[0.00004515228,0.000019033501,0.0000617421,0.000008428235,0.000012790901,0.000021225003,0.000013324325,0.9736399,0.00079202745,0.02404973,0.0013257996,0.0000107214255],"about_ca_topic_score_codex":0.0061697257,"about_ca_topic_score_gemma":0.008207803,"teacher_disagreement_score":0.012118663,"about_ca_system_score_codex":0.0014278867,"about_ca_system_score_gemma":0.0036658952,"threshold_uncertainty_score":0.040540993},"labels":[],"label_agreement":null},{"id":"W2051266908","doi":"10.1016/j.jtbi.2014.12.003","title":"Adding ecology to particle capture models: Numerical simulations of capture on a moving cylinder in crossflow","year":2014,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Aeolian processes and effects","field":"Earth and Planetary Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft; Compute Canada","keywords":"Mechanics; Reynolds number; Oscillation (cell signaling); Flow (mathematics); Deposition (geology); Particle (ecology); Stokes number; Cylinder; Turbulence; Physics; Geology; Mathematics; Chemistry; Geometry","score_opus":0.01089909955138455,"score_gpt":0.2515271138121874,"score_spread":0.24062801426080285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051266908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9781326,0.00026311152,0.012466533,0.0008343598,0.00011342921,0.00004841626,0.00020724429,0.00011261456,0.00782174],"genre_scores_gemma":[0.9962559,0.00010023157,0.0020241775,0.00010878841,0.000027670878,0.000025069987,0.00009325225,0.000026791568,0.0013380877],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969447,0.00008397614,0.000017842112,0.000045741846,0.000045967055,0.0001119201],"domain_scores_gemma":[0.9973531,0.0016090604,0.00021066131,0.00013599735,0.00023822206,0.0004529498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009651125,0.00071562827,0.0011322551,0.0009850524,0.0017404924,0.0018497559,0.0017988031,0.003769983,0.0025857843],"category_scores_gemma":[0.0048719784,0.0010402239,0.0010942734,0.001042515,0.002223587,0.0018989922,0.0016820391,0.0020801725,0.00023949634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005576389,0.00008490669,0.002064699,0.000012069521,0.000017372355,0.00007275,0.00006882743,0.99337876,0.00034328952,0.0030797832,0.00020805959,0.0006137176],"study_design_scores_gemma":[0.00002269298,0.000015491185,0.00034325803,0.0000023554617,0.000004531386,0.0000049872065,0.000019046744,0.9990171,0.00007187501,0.00044344467,0.00004860052,0.000006710585],"about_ca_topic_score_codex":0.06332624,"about_ca_topic_score_gemma":0.028242119,"teacher_disagreement_score":0.06332624,"about_ca_system_score_codex":0.0020135937,"about_ca_system_score_gemma":0.0016054804,"threshold_uncertainty_score":0.12591529},"labels":[],"label_agreement":null},{"id":"W2051782502","doi":"10.1016/j.jtbi.2004.11.003","title":"Reduction of intrinsic kinetic and thermodynamic barriers for enzyme-catalysed proton transfers from carbon acid substrates","year":2004,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Chemical Reaction Mechanisms","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Active site; Stereochemistry; Enzyme; Computational chemistry; Organic chemistry","score_opus":0.0068977530194741935,"score_gpt":0.24017606252978693,"score_spread":0.23327830951031273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051782502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992149,0.0005248056,0.0057915784,0.00016873961,0.000020505413,0.000012220951,0.000089235546,0.000048180304,0.0011957121],"genre_scores_gemma":[0.9983815,0.00022584645,0.00090819906,0.000010424305,0.000005088562,0.000009915792,0.000080797116,0.000018303273,0.0003598573],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997881,0.00004489171,0.000010040125,0.000042382806,0.000055053533,0.00005958505],"domain_scores_gemma":[0.9992142,0.00052353763,0.000072459035,0.00004791817,0.000073654446,0.00006835903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000830314,0.0003665001,0.00047959795,0.0002482199,0.00029503336,0.00088024215,0.0007325742,0.00046718397,0.0026384124],"category_scores_gemma":[0.0023267039,0.00030212363,0.00024932998,0.00018952576,0.00055154366,0.001062183,0.00046013435,0.0015394657,0.00027672166],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016047009,0.00024459083,0.0014410308,0.0004656433,0.000075021766,0.00014675291,0.00026469235,0.013267462,0.9426366,0.025257392,0.000377338,0.01421887],"study_design_scores_gemma":[0.000046403165,0.00017637828,0.00096253405,0.000009225542,0.000014972106,0.00006329328,0.00007083126,0.03181127,0.96404225,0.0022504427,0.00052844646,0.000023916302],"about_ca_topic_score_codex":0.0006372696,"about_ca_topic_score_gemma":0.00068003056,"teacher_disagreement_score":0.0026384124,"about_ca_system_score_codex":0.00078852626,"about_ca_system_score_gemma":0.00041636548,"threshold_uncertainty_score":0.008826315},"labels":[],"label_agreement":null},{"id":"W2051944976","doi":"10.1016/j.jtbi.2005.05.036","title":"A stochastic approach to phyllotactic patterns analysis","year":2005,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Econometrics; Statistical physics; Mathematics; Physics","score_opus":0.015487491072678182,"score_gpt":0.2699711016962894,"score_spread":0.25448361062361124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051944976","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007478108,0.00012847446,0.99112225,0.00025313435,0.000023750319,0.000014676492,0.00005471382,0.000062511666,0.00086241914],"genre_scores_gemma":[0.63897693,0.0011861834,0.34847042,0.00046627142,0.00070608093,0.00043480724,0.00063583377,0.0003676451,0.008755819],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99840957,0.0007748568,0.00008369738,0.00023821981,0.00034965057,0.00014406988],"domain_scores_gemma":[0.98888624,0.00904733,0.0005975055,0.00058998086,0.0005182959,0.00036056605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031649992,0.00066150795,0.0013430134,0.0025202828,0.0011031028,0.0016514937,0.0025986272,0.001335362,0.0028844047],"category_scores_gemma":[0.013665613,0.0008804485,0.0024072144,0.0019056641,0.0021832732,0.0017801939,0.002431904,0.0022185706,0.00029927288],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029918541,0.000038340768,0.0011662303,0.00006821664,0.00013109522,0.00007385424,0.000111066765,0.44361916,0.0011718405,0.5357513,0.0011897609,0.016649216],"study_design_scores_gemma":[0.000007418698,0.000006954105,0.00019077158,0.0000048007328,0.000009783347,0.000016204962,0.0000067764813,0.84883094,0.0000886716,0.15035236,0.00047547478,0.000009894423],"about_ca_topic_score_codex":0.005469949,"about_ca_topic_score_gemma":0.0045048483,"teacher_disagreement_score":0.005469949,"about_ca_system_score_codex":0.0017611511,"about_ca_system_score_gemma":0.0014850193,"threshold_uncertainty_score":0.016738296},"labels":[],"label_agreement":null},{"id":"W2051970275","doi":"10.1016/j.jtbi.2014.01.009","title":"Spatial invasion dynamics on random and unstructured meshes: Implications for heterogeneous tumor populations","year":2014,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fields Institute for Research in Mathematical Sciences; University of Waterloo","funders":"National Cancer Institute","keywords":"Fixation (population genetics); Polygon mesh; Population; Grid; Statistical physics; Probability distribution; Computer science; Mathematics; Biological system; Biology; Physics; Statistics; Geometry","score_opus":0.028204888892357286,"score_gpt":0.31927107503474644,"score_spread":0.29106618614238916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051970275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62503606,0.001758888,0.33755377,0.011553901,0.0005575636,0.00012953936,0.0004321979,0.00023311327,0.022745002],"genre_scores_gemma":[0.9809715,0.0005189204,0.012937428,0.00042133732,0.00015168042,0.00005898845,0.0001088123,0.000055579494,0.004775705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995254,0.00017799051,0.000020411431,0.00009121965,0.00010174036,0.000083273044],"domain_scores_gemma":[0.99472296,0.0031720353,0.000793089,0.00028509085,0.0003918566,0.0006349542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010704773,0.0005806269,0.0008146779,0.0011201431,0.00097468717,0.0022739386,0.0015591363,0.0022937667,0.00215349],"category_scores_gemma":[0.012781719,0.000485734,0.00073175435,0.0004716471,0.002285907,0.0032837852,0.002033517,0.0013533257,0.000199062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015398799,0.00013228945,0.0037611942,0.00013146343,0.00005061575,0.0005601384,0.00031394273,0.6225738,0.004602729,0.35672158,0.0031760826,0.007822113],"study_design_scores_gemma":[0.000032171472,0.000020808402,0.00075301796,0.000011928924,0.00000847989,0.000090835805,0.000105210616,0.9239687,0.00019764145,0.074268155,0.0005250031,0.00001803225],"about_ca_topic_score_codex":0.005395219,"about_ca_topic_score_gemma":0.0031972574,"teacher_disagreement_score":0.005395219,"about_ca_system_score_codex":0.001097426,"about_ca_system_score_gemma":0.00061895524,"threshold_uncertainty_score":0.010727644},"labels":[],"label_agreement":null},{"id":"W2052467553","doi":"10.1016/j.jtbi.2006.10.001","title":"Learning, climate and the evolution of cultural capacity","year":2006,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Social learning; Variation (astronomy); Ecology; Climate change; Scale (ratio); Biology; Computer science; Geography","score_opus":0.007376756873030291,"score_gpt":0.2702320410299453,"score_spread":0.262855284156915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052467553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905239,0.00019242534,0.0019424665,0.0005855507,0.000009880136,0.0000050628714,0.000029197397,0.000010440152,0.006701024],"genre_scores_gemma":[0.99952316,0.000039554994,0.00019858353,0.00001692515,0.0000027955346,0.0000018641571,0.0000071524405,0.0000018321189,0.00020816417],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994178,0.00033870144,0.000017871227,0.00007920473,0.000046378806,0.00010011719],"domain_scores_gemma":[0.9939162,0.004139151,0.00064996385,0.00036251964,0.00032535376,0.0006067323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020465408,0.00014800293,0.0002057116,0.00056958344,0.0005254278,0.002496191,0.00043259104,0.00096937467,0.003025222],"category_scores_gemma":[0.011905875,0.00013223477,0.00017871261,0.00060785224,0.0021611308,0.0015612734,0.0011933476,0.00068439275,0.00019745124],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009322522,0.00083385996,0.45403317,0.00021540218,0.00043146734,0.0009709345,0.007853998,0.10456486,0.016336605,0.30357066,0.0023496838,0.10790707],"study_design_scores_gemma":[0.00012330986,0.00032332315,0.41605294,0.00005909603,0.00011280831,0.00066042395,0.0048032477,0.09157261,0.002852124,0.4772835,0.0060120868,0.00014456155],"about_ca_topic_score_codex":0.002075262,"about_ca_topic_score_gemma":0.00217999,"teacher_disagreement_score":0.003025222,"about_ca_system_score_codex":0.00086893886,"about_ca_system_score_gemma":0.0005631496,"threshold_uncertainty_score":0.01082325},"labels":[],"label_agreement":null},{"id":"W2052924630","doi":"10.1016/j.jtbi.2010.11.013","title":"Highly pathogenic avian influenza outbreak mitigated by seasonal low pathogenic strains: Insights from dynamic modeling","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Toronto Metropolitan University","funders":"","keywords":"Influenza A virus subtype H5N1; Outbreak; Transmission (telecommunications); Biology; Highly pathogenic; Feces; Strain (injury); Virology; Population; Influenza A virus; Microbiology; Virus; Medicine; Environmental health","score_opus":0.018936483996232246,"score_gpt":0.3229783985847659,"score_spread":0.30404191458853363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052924630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7898258,0.00040892113,0.18629575,0.0033773403,0.00021872435,0.00005322834,0.00019040471,0.00016422055,0.019465547],"genre_scores_gemma":[0.9963181,0.00011005707,0.002228724,0.00006973073,0.000037473616,0.00001654878,0.000031465825,0.00001686628,0.0011710041],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975747,0.00010153153,0.000008766277,0.00004267303,0.000027889737,0.0000616522],"domain_scores_gemma":[0.9982425,0.0011106157,0.0003235005,0.000060858136,0.00012760265,0.00013501207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008130772,0.00069357833,0.0011003835,0.00047746618,0.0005568829,0.0011272593,0.0009226834,0.0013957242,0.0018577282],"category_scores_gemma":[0.0047675734,0.00047425446,0.00071621494,0.00024130617,0.0006952374,0.0015148332,0.0008264769,0.000895056,0.00010210854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031602813,0.000029206894,0.0013017606,0.000014502777,0.000027088012,0.00006349759,0.000030317755,0.98592573,0.00060879276,0.010164038,0.00033315874,0.0014702673],"study_design_scores_gemma":[0.000004717627,0.000008371765,0.00020829396,0.0000012475267,0.0000053216613,0.0000048832867,0.000011935978,0.9966577,0.000028842527,0.0030167676,0.000048752343,0.0000032045634],"about_ca_topic_score_codex":0.013156167,"about_ca_topic_score_gemma":0.0065683643,"teacher_disagreement_score":0.013156167,"about_ca_system_score_codex":0.0007844888,"about_ca_system_score_gemma":0.0010010559,"threshold_uncertainty_score":0.026159167},"labels":[],"label_agreement":null},{"id":"W2053171033","doi":"10.1016/j.jtbi.2010.03.001","title":"Modelling the unpredictability of future biodiversity in ecological networks","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Marsden Fund; Western Canada Research Grid","keywords":"Biodiversity; Ecology; Ecological network; Biology; Environmental science; Environmental resource management; Geography; Ecosystem","score_opus":0.009934395501445883,"score_gpt":0.2639266007931299,"score_spread":0.25399220529168404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053171033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8501853,0.00045672237,0.13829745,0.0027011535,0.000092351605,0.000034604218,0.00028010807,0.00011073561,0.007841604],"genre_scores_gemma":[0.9935422,0.00017057265,0.004629347,0.000042924083,0.000027664306,0.000027933016,0.000044521832,0.000019672105,0.0014951082],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993906,0.0003206365,0.000028204911,0.00011534462,0.000050645816,0.00009449468],"domain_scores_gemma":[0.98636657,0.011505032,0.0010955363,0.00030169974,0.00023602089,0.0004951009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023377424,0.00051521434,0.0007377976,0.0011065028,0.0008064597,0.0020540447,0.0019407654,0.0027622539,0.0030537783],"category_scores_gemma":[0.01654049,0.000997027,0.0009107765,0.0011408606,0.0021476522,0.004347832,0.0016080092,0.0017659251,0.00019608953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026050335,0.00001757048,0.0022490516,0.000016753276,0.000023776602,0.000053723285,0.000060767874,0.9740416,0.000112969225,0.02221649,0.00014670924,0.0010345898],"study_design_scores_gemma":[0.000006251805,0.0000089048635,0.00029521948,0.0000029393925,0.000007980533,0.000014544244,0.000025523948,0.9821792,0.000027547505,0.017332962,0.00009356933,0.0000053970716],"about_ca_topic_score_codex":0.013057955,"about_ca_topic_score_gemma":0.013491922,"teacher_disagreement_score":0.013057955,"about_ca_system_score_codex":0.0020979634,"about_ca_system_score_gemma":0.0009042645,"threshold_uncertainty_score":0.025963902},"labels":[],"label_agreement":null},{"id":"W2053896393","doi":"10.1016/j.jtbi.2006.08.009","title":"Using reproductive value to estimate key parameters in density-independent age-structured populations","year":2006,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Norges Forskningsråd; Natural Sciences and Engineering Research Council of Canada; Adolph C. and Mary Sprague Miller Institute for Basic Research in Science, University of California Berkeley; National Science Foundation","keywords":"Univariate; Autocorrelation; Statistics; Autoregressive model; Variance (accounting); Mathematics; Multivariate statistics; Econometrics; Reproductive value; Population; Series (stratigraphy); Contrast (vision); Density dependence; Environmental noise; Biology; Demography; Computer science; Physics; Economics","score_opus":0.019840453787773146,"score_gpt":0.3140203717608655,"score_spread":0.29417991797309234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053896393","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83411294,0.00015567889,0.16492164,0.00009793501,0.000008100137,0.00002265794,0.0000824583,0.000073884206,0.00052476407],"genre_scores_gemma":[0.979054,0.000042120468,0.020506233,0.000026007616,0.000008996807,0.000022182932,0.00013602282,0.00001252479,0.00019200338],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991191,0.00057701557,0.000033854125,0.0001587396,0.000060788498,0.000050515006],"domain_scores_gemma":[0.96824783,0.027976086,0.001216652,0.0014217213,0.00079005386,0.00034762337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0075029,0.0004642438,0.00069185,0.0017280442,0.00049308536,0.0008342381,0.0013383854,0.0013253259,0.00055142725],"category_scores_gemma":[0.035191525,0.00058541214,0.0006306998,0.00074633793,0.0010041461,0.0016011823,0.0008862401,0.000773036,0.00013490449],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040442485,0.00012281431,0.24878451,0.00006577507,0.00072109554,0.00024530987,0.0004881613,0.6808062,0.0039671403,0.02009095,0.0003805588,0.043923076],"study_design_scores_gemma":[0.00003469484,0.000043950542,0.025390722,0.000011394572,0.000050933417,0.00010523981,0.000037573107,0.95027214,0.0006814387,0.023262644,0.00007800155,0.000031349136],"about_ca_topic_score_codex":0.0034792358,"about_ca_topic_score_gemma":0.0034556792,"teacher_disagreement_score":0.0075029,"about_ca_system_score_codex":0.00075861544,"about_ca_system_score_gemma":0.0004247194,"threshold_uncertainty_score":0.039679587},"labels":[],"label_agreement":null},{"id":"W2054059936","doi":"10.1016/j.jtbi.2014.10.010","title":"Competitive intransitivity, population interaction structure, and strategy coexistence","year":2014,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Algoma University; University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; University of Lethbridge","keywords":"Hierarchy; Population; Coexistence theory; Competition (biology); Economics; Economic geography; Mathematics; Mathematical economics; Ecology; Biology","score_opus":0.012300383165237341,"score_gpt":0.3136287980189544,"score_spread":0.30132841485371703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054059936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903619,0.000059723003,0.0054638023,0.00019017638,0.0000052193045,0.0000068316062,0.000010521148,0.000006842678,0.0038949365],"genre_scores_gemma":[0.99941254,0.0000138421,0.00040999256,0.00001241752,0.0000026046412,0.0000039005363,0.0000040395144,9.568881e-7,0.00013976853],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990246,0.00051011675,0.000040933464,0.00017571372,0.0001333121,0.00011527192],"domain_scores_gemma":[0.9839745,0.011761821,0.0020053338,0.0010183288,0.00041513835,0.0008249007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026220218,0.0002232573,0.00066303887,0.00083820743,0.00076353166,0.0017813314,0.0007096579,0.0009683071,0.0031882082],"category_scores_gemma":[0.014162575,0.00035693252,0.0002556252,0.00044523686,0.0022593967,0.002093133,0.0013793147,0.0008887342,0.00012824606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017962779,0.0025851312,0.312444,0.00025955174,0.0006134652,0.0019256664,0.004668491,0.05492533,0.031904947,0.5124544,0.0016193638,0.07480343],"study_design_scores_gemma":[0.00018544267,0.0004762687,0.1186571,0.000024989893,0.00014119486,0.0014040404,0.001556096,0.12402451,0.0011417222,0.7517901,0.000541657,0.000056823414],"about_ca_topic_score_codex":0.00055714994,"about_ca_topic_score_gemma":0.00097134564,"teacher_disagreement_score":0.0031882082,"about_ca_system_score_codex":0.00059928757,"about_ca_system_score_gemma":0.0004250527,"threshold_uncertainty_score":0.013866723},"labels":[],"label_agreement":null},{"id":"W2055545874","doi":"10.1016/j.jtbi.2012.12.003","title":"Modelling colony population growth in the filamentous fungus Aspergillus nidulans","year":2012,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Clarendon Fund; European Commission; University of Ottawa","keywords":"Aspergillus nidulans; Biology; Filamentous fungus; Population biology; Mycelium; Fungus; Population; Fungal growth; Spore; Aspergillus; Ecology; Microbiology; Botany; Genetics; Gene","score_opus":0.015865798375801134,"score_gpt":0.28983386010332624,"score_spread":0.2739680617275251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055545874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9588598,0.00031327497,0.032304995,0.0004112665,0.000036559726,0.00003098401,0.00022906162,0.00013118237,0.007682854],"genre_scores_gemma":[0.9916368,0.00012795239,0.006270451,0.0000308898,0.000008583001,0.000025388716,0.00007961932,0.000035333993,0.0017848301],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987984,0.000041555326,0.000005633634,0.000019892559,0.000022547929,0.00003059157],"domain_scores_gemma":[0.9979686,0.0016029653,0.00016157924,0.000039791008,0.00012620208,0.00010085427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036279217,0.00068198727,0.0005178593,0.00045857596,0.00050629943,0.000841675,0.001219396,0.0020026022,0.0013248533],"category_scores_gemma":[0.0021448815,0.00053373125,0.0007546275,0.000333092,0.0006749311,0.00050078344,0.0005985652,0.0008882018,0.00017364643],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018350202,0.000018952174,0.0009414924,0.000019343728,0.0000079561205,0.000050373215,0.000025964626,0.9956631,0.0014329317,0.0011930859,0.000066436296,0.0005619584],"study_design_scores_gemma":[0.0000052315036,0.000008287406,0.00019074309,0.0000013269575,0.0000025562927,0.0000070288634,0.0000086011005,0.9993352,0.000175604,0.00022501429,0.000037391026,0.0000029447394],"about_ca_topic_score_codex":0.04324627,"about_ca_topic_score_gemma":0.015379748,"teacher_disagreement_score":0.04324627,"about_ca_system_score_codex":0.0012928987,"about_ca_system_score_gemma":0.00075053924,"threshold_uncertainty_score":0.08598912},"labels":[],"label_agreement":null},{"id":"W2056470362","doi":"10.1016/j.jtbi.2014.08.012","title":"Effect of treatment on the global dynamics of delayed pathological angiogenesis models","year":2014,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Island University; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Angiogenesis; Pathological; Impulse (physics); Dynamics (music); Cancer therapy; Cancer research; Neovascularization; Medicine; Cancer; Internal medicine; Physics; Classical mechanics","score_opus":0.019252356151889825,"score_gpt":0.30712195378895857,"score_spread":0.28786959763706876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056470362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97026294,0.0007055712,0.016379438,0.0017856733,0.00018192375,0.000026320038,0.00020083883,0.0001120773,0.01034527],"genre_scores_gemma":[0.99796593,0.0000995107,0.0004768983,0.000049157654,0.000014010504,0.00000979322,0.000028167418,0.000007431413,0.00134925],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985623,0.00006540721,0.000004172162,0.000016011234,0.000010526964,0.00004768611],"domain_scores_gemma":[0.9983487,0.0009874714,0.00025464516,0.00006137978,0.000100799196,0.00024697278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005025539,0.00043382437,0.00053234014,0.00037554957,0.0003975338,0.00076857454,0.0005591401,0.0008725242,0.005328188],"category_scores_gemma":[0.003987081,0.00012631658,0.0004023849,0.00012308598,0.0007254574,0.0006426748,0.00047696807,0.00079210836,0.0001171259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024564613,0.0008054346,0.0040283483,0.00030375383,0.00016620227,0.0005923514,0.0002185121,0.7631563,0.028801981,0.16895601,0.006278414,0.024236169],"study_design_scores_gemma":[0.0001722029,0.00052613573,0.0022125952,0.000023771538,0.00011042026,0.00009825272,0.00014064083,0.95528173,0.004439988,0.03599577,0.000962806,0.000035716796],"about_ca_topic_score_codex":0.0021473425,"about_ca_topic_score_gemma":0.0012091375,"teacher_disagreement_score":0.005328188,"about_ca_system_score_codex":0.0006124483,"about_ca_system_score_gemma":0.00067043456,"threshold_uncertainty_score":0.01782453},"labels":[],"label_agreement":null},{"id":"W2056635924","doi":"10.1006/jtbi.2000.2056","title":"Spontaneous Secondary Spiking in Excitable Cells","year":2000,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"stochastic dynamics and bifurcation","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bifurcation; Parameter space; Saddle-node bifurcation; Numerical continuation; Amplitude; Phase plane; Bifurcation diagram; Ordinary differential equation; Physics; Transcritical bifurcation; Infinite-period bifurcation; Mathematics; Statistical physics; Control theory (sociology); Mathematical analysis; Differential equation; Nonlinear system; Computer science; Geometry; Quantum mechanics","score_opus":0.002852241794516744,"score_gpt":0.22213114366001158,"score_spread":0.21927890186549484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056635924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9750338,0.000091322836,0.019159246,0.00012773501,0.00004644548,0.000011944829,0.00003295721,0.0001099603,0.005386553],"genre_scores_gemma":[0.9989938,0.000019234292,0.00044136407,0.000010221102,0.0000073847245,0.0000031222285,0.000013496758,0.0000068450445,0.00050460116],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999944,0.000008865919,0.0000040729497,0.000010548098,0.000016363472,0.0000161695],"domain_scores_gemma":[0.99949706,0.00014308955,0.000053059495,0.000060595903,0.0000876032,0.000158602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022003184,0.00011861355,0.0003133176,0.00021312133,0.0002943394,0.0006000012,0.00027867584,0.00047209265,0.001241594],"category_scores_gemma":[0.0012124834,0.0000835345,0.00025563323,0.00015242015,0.0003725771,0.0003868636,0.00041913957,0.0003234189,0.00024412223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006025821,0.00031859498,0.016934328,0.00016088138,0.00009456069,0.002104718,0.0007057049,0.043533865,0.71015656,0.18250285,0.0023068138,0.040578507],"study_design_scores_gemma":[0.0001039769,0.00041747765,0.023931615,0.000023146193,0.000045455,0.0029382484,0.00028576172,0.76380527,0.04945435,0.15707757,0.0018798584,0.000037323673],"about_ca_topic_score_codex":0.00021655025,"about_ca_topic_score_gemma":0.00021082355,"teacher_disagreement_score":0.001241594,"about_ca_system_score_codex":0.0002556335,"about_ca_system_score_gemma":0.00015306243,"threshold_uncertainty_score":0.0041535497},"labels":[],"label_agreement":null},{"id":"W2056913712","doi":"10.1016/j.jtbi.2006.09.033","title":"Modelling species’ range shifts in a changing climate: The impacts of biotic interactions, dispersal distance and the rate of climate change","year":2006,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":275,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Biological dispersal; Climate change; Ecology; Range (aeronautics); Interspecific competition; Occupancy; Environmental science; Extinction (optical mineralogy); Niche; Biology; Population","score_opus":0.01519903084828627,"score_gpt":0.2545046482842563,"score_spread":0.23930561743597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056913712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9826485,0.00028444856,0.013569071,0.0009037214,0.00004549779,0.000015194197,0.0002138115,0.00004059351,0.0022792025],"genre_scores_gemma":[0.99525154,0.00016243584,0.003159015,0.00006183706,0.000027165514,0.000024145846,0.00009618573,0.00002386722,0.0011938176],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996037,0.00021388523,0.000017096618,0.00007523265,0.00001764442,0.000072495786],"domain_scores_gemma":[0.99583936,0.0032734778,0.00031053287,0.000113972805,0.00010740268,0.00035524456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015442909,0.0006351592,0.0007803515,0.00069627946,0.00067437947,0.0017995927,0.0019684508,0.0032915666,0.004079132],"category_scores_gemma":[0.007606146,0.000926158,0.0012365569,0.001102442,0.0013063971,0.0025548756,0.0012174306,0.0016879797,0.00027004344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051972613,0.000030242387,0.0042485734,0.000014708702,0.00004477355,0.00003687252,0.000040081275,0.9929224,0.00022115457,0.0015187942,0.0000967248,0.0007737726],"study_design_scores_gemma":[0.000024395866,0.000023074379,0.0013395582,0.0000027585947,0.000023402994,0.00001597459,0.000043949214,0.9969451,0.00006157389,0.0013808302,0.00013113343,0.00000831437],"about_ca_topic_score_codex":0.039014578,"about_ca_topic_score_gemma":0.030705547,"teacher_disagreement_score":0.039014578,"about_ca_system_score_codex":0.0017777485,"about_ca_system_score_gemma":0.0009325574,"threshold_uncertainty_score":0.07757497},"labels":[],"label_agreement":null},{"id":"W2057022823","doi":"10.1016/j.jtbi.2008.09.017","title":"Species coexistence, intransitivity, and topological variation in competitive tournaments","year":2008,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Regina","keywords":"Variation (astronomy); Hierarchy; Mathematical economics; Mathematics; Economics; Physics","score_opus":0.03771522231852447,"score_gpt":0.23069930680048303,"score_spread":0.19298408448195856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057022823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985806,0.000019907011,0.0010514661,0.000023207891,0.0000015874681,0.0000013361704,0.0000072781163,0.00000479774,0.00030980236],"genre_scores_gemma":[0.99981755,0.000004627744,0.00012862957,0.0000030079611,0.000002122058,0.0000016363797,0.00000997845,0.0000010752847,0.000031296033],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99893457,0.00058028573,0.00005607839,0.00018361391,0.000115895986,0.0001295782],"domain_scores_gemma":[0.9732666,0.01886631,0.0041785184,0.0014461983,0.0005684177,0.001674017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029182076,0.0002349431,0.0006664371,0.0017006658,0.0009141197,0.0018919088,0.00081302796,0.00067669136,0.0023391675],"category_scores_gemma":[0.017493904,0.00036152164,0.00037842753,0.00093224546,0.002232949,0.0014581528,0.0013629152,0.0007958387,0.00007903344],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023874124,0.0006155286,0.80316186,0.00019085215,0.0010208183,0.0011850229,0.0028183307,0.053971708,0.029241892,0.07795731,0.0007693594,0.026679799],"study_design_scores_gemma":[0.0002450024,0.00060304126,0.7042859,0.000022332082,0.0002693866,0.0020034309,0.0016897839,0.12822182,0.0011205709,0.16107659,0.00035102436,0.0001110483],"about_ca_topic_score_codex":0.0005146163,"about_ca_topic_score_gemma":0.0010287341,"teacher_disagreement_score":0.0029182076,"about_ca_system_score_codex":0.0003970138,"about_ca_system_score_gemma":0.00016623142,"threshold_uncertainty_score":0.015433192},"labels":[],"label_agreement":null},{"id":"W2057053976","doi":"10.1016/j.jtbi.2011.02.013","title":"Neural control of heart rate: The role of neuronal networking","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Université de Montréal; Dalhousie University","funders":"","keywords":"Neuroscience; Control (management); Biology; Computer science; Artificial intelligence","score_opus":0.014105386825425194,"score_gpt":0.2507830490885881,"score_spread":0.23667766226316292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057053976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54630196,0.010012288,0.37978077,0.0044215317,0.00072834897,0.000029249937,0.00015511867,0.00016287425,0.058407895],"genre_scores_gemma":[0.9924831,0.0012278464,0.005061091,0.00005401287,0.000193077,0.000010058165,0.000014315276,0.00001640045,0.0009400597],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998951,0.00003537335,0.0000048899483,0.00002893202,0.000023056897,0.000012653103],"domain_scores_gemma":[0.9992435,0.0005462954,0.00006909968,0.000047107642,0.000050052655,0.000043965385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033984095,0.00018350757,0.00021614038,0.00021419898,0.00021320971,0.0010189522,0.0004165731,0.0004790063,0.0011797632],"category_scores_gemma":[0.0025511186,0.00015720824,0.00019683993,0.00016974725,0.00080225716,0.0011232021,0.0003926449,0.00046360723,0.00010518746],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019548605,0.00016475043,0.010326103,0.0002577091,0.00018037664,0.0004152078,0.00052392436,0.2561294,0.05300136,0.57857454,0.0019280316,0.098303154],"study_design_scores_gemma":[0.00002949178,0.00008257406,0.011430255,0.0000405321,0.00003656013,0.00032015913,0.00010968117,0.5768438,0.0022151105,0.4069224,0.0019306722,0.000038758193],"about_ca_topic_score_codex":0.000508812,"about_ca_topic_score_gemma":0.00034360925,"teacher_disagreement_score":0.0011797632,"about_ca_system_score_codex":0.00020022716,"about_ca_system_score_gemma":0.00019068766,"threshold_uncertainty_score":0.003946662},"labels":[],"label_agreement":null},{"id":"W2057140425","doi":"10.1016/j.jtbi.2012.02.032","title":"Simple thermodynamic model of unassisted proton shuttle uncoupling and prediction of activity from calculated speciation, lipophilicity, and molecular geometry","year":2012,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Lipid metabolism and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Lipophilicity; Genetic algorithm; Simple (philosophy); Physics; Geometry; Statistical physics; Biophysics; Chemistry; Biology; Mathematics; Stereochemistry; Ecology","score_opus":0.008790389665425375,"score_gpt":0.24047849370304342,"score_spread":0.23168810403761805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057140425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7735641,0.0007926939,0.19514284,0.0014660532,0.00019191262,0.0002110401,0.0010305332,0.0006609343,0.026939863],"genre_scores_gemma":[0.99151695,0.00020618801,0.0055087316,0.00008615893,0.000024703833,0.00013223973,0.00015842005,0.00008515888,0.0022814677],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998029,0.000030811232,0.000011165946,0.000042047424,0.0000623213,0.000050704464],"domain_scores_gemma":[0.9996847,0.00012014521,0.000029943323,0.00004445797,0.00006259923,0.000058192418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005056103,0.0005565576,0.0013163992,0.00074062176,0.0009591175,0.0008042158,0.0024956318,0.0010567155,0.0033516528],"category_scores_gemma":[0.0013150045,0.0007187065,0.0007690822,0.00055722985,0.0013242454,0.0019426321,0.000736908,0.0007371247,0.000514439],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018429424,0.00017983065,0.0016626525,0.00025753828,0.000060844653,0.00052325946,0.0001460877,0.7783384,0.039828673,0.17217009,0.0011910328,0.005457332],"study_design_scores_gemma":[0.000032195185,0.000028888573,0.00043464018,0.0000039004967,0.000008129644,0.000036855752,0.0000146284465,0.9789634,0.0021452305,0.018055227,0.0002540562,0.000022952996],"about_ca_topic_score_codex":0.0040943003,"about_ca_topic_score_gemma":0.002776793,"teacher_disagreement_score":0.0040943003,"about_ca_system_score_codex":0.0014406526,"about_ca_system_score_gemma":0.0013302319,"threshold_uncertainty_score":0.011212409},"labels":[],"label_agreement":null},{"id":"W2057246768","doi":"10.1016/j.jtbi.2004.10.030","title":"Quantifying macrophage defects in type 1 diabetes","year":2005,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Phagocytosis and Immune Regulation","field":"Immunology and Microbiology","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"Canadian Institutes of Health Research; Mitacs; Simon Fraser University; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Macrophage; Phagocytosis; Nod; Apoptosis; Immunology; Biology; Immune system; In vitro; NOD mice; Type 1 diabetes; Diabetes mellitus; Cell biology; Endocrinology; Biochemistry","score_opus":0.01666446765398342,"score_gpt":0.28167819227486113,"score_spread":0.2650137246208777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057246768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958509,0.00028213818,0.0035171716,0.000015256581,0.0000056232975,0.000004232399,0.000102327715,0.000023999726,0.00019833133],"genre_scores_gemma":[0.99697924,0.00015428706,0.0025659308,0.000016631187,0.0000032201144,0.000008641816,0.00009265592,0.000010180121,0.00016941047],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977154,0.00007204984,0.000014008026,0.000052112086,0.000044057302,0.000046195924],"domain_scores_gemma":[0.99939513,0.00023405478,0.00016245405,0.00006133405,0.00006819176,0.00007879204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006319661,0.00030461416,0.00035736305,0.0007333237,0.0001624056,0.0003906072,0.00023838301,0.00057349063,0.0006029216],"category_scores_gemma":[0.0009762122,0.00023159056,0.0001928629,0.00042999946,0.00022726059,0.00022563415,0.0002716965,0.0005083917,0.000082899984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031843567,0.00027985458,0.1273577,0.00014889047,0.0000969015,0.00021609146,0.00008754188,0.009879228,0.8312277,0.0007631506,0.00017004977,0.026588453],"study_design_scores_gemma":[0.00009512839,0.0014047076,0.29046774,0.000038291775,0.00026174518,0.0012054025,0.0002650103,0.074626006,0.6294767,0.0015658516,0.00055084267,0.000042480755],"about_ca_topic_score_codex":0.0008664152,"about_ca_topic_score_gemma":0.0007574961,"teacher_disagreement_score":0.0008664152,"about_ca_system_score_codex":0.00031308617,"about_ca_system_score_gemma":0.00014407566,"threshold_uncertainty_score":0.0033422112},"labels":[],"label_agreement":null},{"id":"W2058096698","doi":"10.1016/j.jtbi.2012.01.004","title":"Influence of temporary migration on the transmission of infectious diseases in a migrants' home village","year":2012,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Outbreak; Transmission (telecommunications); Disease; China; Migrant workers; Infectious disease (medical specialty); Tuberculosis; Demographic economics; Development economics; Medicine; Geography; Economic growth; Economics; Computer science; Virology","score_opus":0.012500740975680115,"score_gpt":0.28365834630354503,"score_spread":0.2711576053278649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058096698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99926907,0.000027199323,0.0001388401,0.00009136905,0.000004609859,0.00000165418,0.000011545544,0.0000024718133,0.0004532069],"genre_scores_gemma":[0.9998579,0.000012377382,0.00001651792,0.000004225308,0.0000028749346,6.4588977e-7,0.0000035730109,4.4774177e-7,0.000101473765],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949586,0.00028836896,0.00001257549,0.000043602562,0.000021774633,0.00013772259],"domain_scores_gemma":[0.9953566,0.002608701,0.00063252595,0.0002059543,0.00023042569,0.00096568384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008567815,0.00013023372,0.00030214872,0.0003370773,0.00069444836,0.0010633963,0.00043775613,0.0004476539,0.0029140648],"category_scores_gemma":[0.0064507853,0.00010489238,0.0003603761,0.0002772863,0.00071060535,0.0003009642,0.0006329975,0.00046398788,0.00019724951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019067865,0.00065343187,0.9483234,0.0000630974,0.00033732713,0.0033134427,0.0030405235,0.013142506,0.0050137336,0.007356882,0.0011462589,0.015702607],"study_design_scores_gemma":[0.00011777335,0.0009566332,0.9472133,0.000034790835,0.00037637222,0.001056533,0.01045983,0.034765854,0.0005483233,0.0036452697,0.0007870678,0.000038299528],"about_ca_topic_score_codex":0.008815886,"about_ca_topic_score_gemma":0.0075154626,"teacher_disagreement_score":0.008815886,"about_ca_system_score_codex":0.00043216613,"about_ca_system_score_gemma":0.0004039478,"threshold_uncertainty_score":0.01752913},"labels":[],"label_agreement":null},{"id":"W2058945329","doi":"10.1016/j.jtbi.2011.11.007","title":"Flow currents and ventilation in Langstroth beehives due to brood thermoregulation efforts of honeybees","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Brood; Beehive; Computational fluid dynamics; Ventilation (architecture); Fluent; Heat transfer; Mechanics; Mass transfer; Fluid dynamics; Environmental science; Ecology; Biology; Thermodynamics; Physics","score_opus":0.009490659186521318,"score_gpt":0.2545993859233478,"score_spread":0.2451087267368265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058945329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997942,0.000034828896,0.00003730229,0.000005406005,9.755028e-7,0.0000013666709,0.000018894454,0.0000017404418,0.000105210565],"genre_scores_gemma":[0.9996259,0.000025112535,0.00004808925,0.0000091598595,0.0000031902991,0.000004541717,0.00005721539,0.0000027922272,0.00022391717],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999478,0.000012253734,0.00000430268,0.000012734481,0.0000075035055,0.000015387826],"domain_scores_gemma":[0.99967384,0.00009660584,0.000088795365,0.000024595907,0.00002885104,0.00008738155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013393715,0.00012591899,0.00020813696,0.00029427235,0.00021958291,0.00039988442,0.0001431266,0.00028861553,0.001257577],"category_scores_gemma":[0.00061742275,0.00026492754,0.00016842809,0.00010838783,0.00031523488,0.00028506725,0.00027369324,0.00043568038,0.00018436517],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021715227,0.0002191337,0.24588381,0.000070565504,0.00011498567,0.00034524285,0.0007812652,0.00066076545,0.74022454,0.00036958896,0.00021716332,0.008941316],"study_design_scores_gemma":[0.000014526078,0.00014352868,0.99399614,0.0000040406107,0.000019410847,0.00008821101,0.00008846906,0.00096555887,0.004541052,0.000054522978,0.00007926838,0.0000051270345],"about_ca_topic_score_codex":0.0010117886,"about_ca_topic_score_gemma":0.0018114892,"teacher_disagreement_score":0.001257577,"about_ca_system_score_codex":0.00018994059,"about_ca_system_score_gemma":0.00009835811,"threshold_uncertainty_score":0.004207015},"labels":[],"label_agreement":null},{"id":"W2060982649","doi":"10.1016/j.jtbi.2006.03.014","title":"Probing the effects of the well-mixed assumption on viral infection dynamics","year":2006,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Institute of Allergy and Infectious Diseases","keywords":"Cellular automaton; Viral infection; Ordinary differential equation; Dynamics (music); Simple (philosophy); Biology; Statistical physics; Coronavirus disease 2019 (COVID-19); Biological system; Virology; Cell biology; Virus; Physics; Mathematics; Differential equation; Medicine; Algorithm; Mathematical analysis","score_opus":0.006730779985278122,"score_gpt":0.26318152051078025,"score_spread":0.25645074052550215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060982649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8460965,0.00083696545,0.13820103,0.007194861,0.00013649372,0.000050112485,0.0003256065,0.00014585839,0.0070126164],"genre_scores_gemma":[0.99353445,0.0002669359,0.0046124915,0.0002854272,0.000099568744,0.000026054538,0.000082619656,0.000047227608,0.0010452768],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9940036,0.00427116,0.00016084399,0.0005612503,0.0003437332,0.0006594483],"domain_scores_gemma":[0.7966116,0.17975907,0.010896714,0.006499286,0.0027135075,0.0035198745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01835537,0.0010616229,0.001798156,0.001337552,0.0017075334,0.0044924584,0.0025327166,0.0038661556,0.0048755007],"category_scores_gemma":[0.15069814,0.0015941627,0.0013449994,0.00087890716,0.004058657,0.013948868,0.0031638443,0.0053689997,0.0005176656],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012420126,0.00045883987,0.033691157,0.00036029145,0.00046330004,0.00071454997,0.0012377913,0.31059906,0.0054703513,0.6242678,0.0034204032,0.018074427],"study_design_scores_gemma":[0.000088289606,0.00014169872,0.003354693,0.000027256092,0.000067060755,0.00015100921,0.00034642784,0.7806237,0.0009852076,0.2136879,0.00046856535,0.000058203856],"about_ca_topic_score_codex":0.005335345,"about_ca_topic_score_gemma":0.003014617,"teacher_disagreement_score":0.01835537,"about_ca_system_score_codex":0.0022268412,"about_ca_system_score_gemma":0.0014538087,"threshold_uncertainty_score":0.097073615},"labels":[],"label_agreement":null},{"id":"W2061468458","doi":"10.1016/j.jtbi.2008.07.033","title":"The control of vector-borne disease epidemics","year":2008,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":69,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Oregon State University; National Science Foundation","keywords":"Vector (molecular biology); Basic reproduction number; Index (typography); Biology; Disease; Host (biology); Epidemic disease; Attractiveness; Infectious disease (medical specialty); Transmission (telecommunications); Statistics; Econometrics; Mathematics; Ecology; Computer science; Virology; Medicine; Environmental health; Population; Psychology","score_opus":0.020589968172955397,"score_gpt":0.2987073220575603,"score_spread":0.2781173538846049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061468458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5328243,0.008593202,0.3782375,0.019656474,0.0010879749,0.00013385415,0.0003302865,0.00035410488,0.05878228],"genre_scores_gemma":[0.9900412,0.0014822283,0.0033447747,0.00022065798,0.0002933453,0.00003260216,0.000031525866,0.000014858725,0.004538781],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990996,0.00043210413,0.00003614649,0.00012793833,0.00014538321,0.00015885128],"domain_scores_gemma":[0.99394906,0.0044238744,0.00068717333,0.00023311301,0.00044140697,0.0002653841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022452327,0.0005327422,0.0010755223,0.00087020535,0.00049963145,0.0026120984,0.0014452732,0.0016354737,0.0034526868],"category_scores_gemma":[0.014692212,0.00043029143,0.0005288969,0.00050258695,0.0021710508,0.0024739467,0.0011353819,0.0012692992,0.00024012601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016022283,0.00011828793,0.0017502651,0.0002826571,0.00012735324,0.00018776233,0.0003574704,0.19894792,0.0038837157,0.75642365,0.004384654,0.03337611],"study_design_scores_gemma":[0.00015723075,0.00008277588,0.0011488141,0.000033881177,0.000045455912,0.000104745646,0.00012022085,0.5133657,0.00050505024,0.4808112,0.0035980695,0.000026858994],"about_ca_topic_score_codex":0.0036329061,"about_ca_topic_score_gemma":0.0013015313,"teacher_disagreement_score":0.0036329061,"about_ca_system_score_codex":0.0009858467,"about_ca_system_score_gemma":0.001189829,"threshold_uncertainty_score":0.01187408},"labels":[],"label_agreement":null},{"id":"W2061902004","doi":"10.1016/j.jtbi.2004.07.012","title":"Intrinsic noise, gene regulation and steady-state statistics in a two-gene network","year":2004,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Fano factor; Noise (video); Repressor; Statistics; Gene regulatory network; Physics; Statistical physics; Steady state (chemistry); Variance (accounting); Biology; Mathematics; Gene; Control theory (sociology); Computer science; Genetics; Shot noise; Control (management); Gene expression; Artificial intelligence; Chemistry","score_opus":0.004798344588068132,"score_gpt":0.24683648968817845,"score_spread":0.24203814510011032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061902004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6516517,0.00025115954,0.34576768,0.00069043785,0.000018670522,0.000021405041,0.00015983677,0.00017119222,0.0012679298],"genre_scores_gemma":[0.9901569,0.00020184965,0.008185056,0.00005175535,0.000035204263,0.000046043227,0.00011644565,0.00003634588,0.0011704074],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993343,0.00025987483,0.000029238401,0.0001708281,0.00011294559,0.00009286877],"domain_scores_gemma":[0.98161215,0.016105216,0.00097438315,0.0004570519,0.00048013678,0.00037109046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029471866,0.00036556213,0.0010467332,0.000971,0.00041897438,0.001427277,0.0013130672,0.0010239873,0.0009170885],"category_scores_gemma":[0.0142318355,0.0005587137,0.0006361794,0.00073136325,0.0020658416,0.0025034857,0.00067026686,0.00094036176,0.00012142616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003137578,0.00011287123,0.008719981,0.000090839145,0.000088158165,0.0002171498,0.0002333702,0.7349206,0.016259803,0.23110288,0.00044705044,0.0074934615],"study_design_scores_gemma":[0.000013560608,0.000019235391,0.0019991058,0.0000034007733,0.000016071861,0.000034912402,0.000012224239,0.9463461,0.0006977947,0.050777424,0.00006570318,0.000014437257],"about_ca_topic_score_codex":0.0017335297,"about_ca_topic_score_gemma":0.0019805348,"teacher_disagreement_score":0.0029471866,"about_ca_system_score_codex":0.0013487181,"about_ca_system_score_gemma":0.0007001457,"threshold_uncertainty_score":0.015586376},"labels":[],"label_agreement":null},{"id":"W2063123318","doi":"10.1016/j.jtbi.2009.09.034","title":"A mechanistic model of nutritional control of protein synthesis in animal tissues","year":2009,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Protein biosynthesis; Amino acid; Leucine; eIF2; Transfer RNA; Biochemistry; Biology; Translation (biology); Messenger RNA; GTP'; Initiation factor; Chemistry; RNA; Enzyme; Gene","score_opus":0.013713908163462811,"score_gpt":0.28755514289858725,"score_spread":0.27384123473512445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063123318","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13600738,0.001495114,0.7649058,0.011216719,0.00056187983,0.000076184806,0.00037132393,0.00036520156,0.08500045],"genre_scores_gemma":[0.93879306,0.0008481663,0.046707444,0.00062722276,0.00018020654,0.00016833354,0.00008912265,0.000049814902,0.01253661],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998809,0.00003577364,0.0000050345357,0.00003189849,0.000025839623,0.000020474497],"domain_scores_gemma":[0.9998702,0.000043506887,0.000019403911,0.000025022151,0.00002125154,0.000020572965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040628173,0.00047460943,0.00035804627,0.0004256104,0.00041540503,0.000785812,0.0011905011,0.0008859784,0.00422108],"category_scores_gemma":[0.00043951644,0.00020782682,0.0005842747,0.00023538682,0.0011415286,0.00126084,0.0006157732,0.0007095088,0.0004601578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009725149,0.0000836241,0.00030934418,0.00010344216,0.000021336034,0.00023396953,0.000092536786,0.038734734,0.026628856,0.9257247,0.0010300459,0.006940124],"study_design_scores_gemma":[0.00005885553,0.00014533596,0.0005767942,0.000016271539,0.000020294956,0.00023451037,0.00006378973,0.15200993,0.0038630608,0.83714205,0.00584978,0.000019320205],"about_ca_topic_score_codex":0.00064476684,"about_ca_topic_score_gemma":0.00045932017,"teacher_disagreement_score":0.00422108,"about_ca_system_score_codex":0.00058876927,"about_ca_system_score_gemma":0.00051232066,"threshold_uncertainty_score":0.014120936},"labels":[],"label_agreement":null},{"id":"W2063617625","doi":"10.1016/j.jtbi.2005.03.002","title":"Monte Carlo estimates of natural variation in HIV infection","year":2005,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Monte Carlo method; Statistical physics; Human immunodeficiency virus (HIV); Monte Carlo molecular modeling; Replication (statistics); Dynamic Monte Carlo method; Viral replication; Physics; Biology; Biological system; Computer science; Virus; Virology; Mathematics; Statistics; Markov chain Monte Carlo","score_opus":0.0059273543374615874,"score_gpt":0.2750197262913883,"score_spread":0.2690923719539267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063617625","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39515567,0.0014892464,0.5917484,0.0028534662,0.00022184086,0.00017598287,0.00048981974,0.00056704535,0.0072984807],"genre_scores_gemma":[0.94799125,0.00048496402,0.046826407,0.0005206969,0.00019928788,0.00026610328,0.00037805145,0.00011221913,0.003220954],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9957982,0.0030555471,0.0001128529,0.00045092517,0.00034175414,0.00024066745],"domain_scores_gemma":[0.8482396,0.14068158,0.0024638397,0.005553116,0.001955067,0.0011067048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01379565,0.00057790196,0.0015377846,0.0020522156,0.0011566046,0.0023737757,0.002818119,0.0026240891,0.0046840673],"category_scores_gemma":[0.091469675,0.0017363135,0.0014563202,0.001246061,0.0035510173,0.0045409724,0.002066593,0.0031677221,0.00037856845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022012553,0.00009675151,0.007869759,0.00008446973,0.00022450776,0.0001179216,0.0002757227,0.8002333,0.000450423,0.18123285,0.0013824053,0.007811745],"study_design_scores_gemma":[0.00005301805,0.00003655862,0.0022167356,0.000047525664,0.000034362907,0.00010805651,0.00005628617,0.8821378,0.0002224854,0.114602506,0.00044276784,0.000041973144],"about_ca_topic_score_codex":0.0067273914,"about_ca_topic_score_gemma":0.0071605644,"teacher_disagreement_score":0.01379565,"about_ca_system_score_codex":0.0020772042,"about_ca_system_score_gemma":0.0015201053,"threshold_uncertainty_score":0.072959185},"labels":[],"label_agreement":null},{"id":"W2064051468","doi":"10.1016/j.jtbi.2013.01.006","title":"The importance of contact network topology for the success of vaccination strategies","year":2013,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Network topology; Topology (electrical circuits); Transmission (telecommunications); Exponential growth; Epidemic model; Transmission rate; Computer science; Network model; Mathematics; Computer network; Medicine; Artificial intelligence; Telecommunications; Population","score_opus":0.00780926788641275,"score_gpt":0.30050359094393964,"score_spread":0.2926943230575269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064051468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87329745,0.0017557347,0.10347348,0.002252276,0.0001566682,0.000093105475,0.00063909864,0.00024246138,0.018089727],"genre_scores_gemma":[0.99747014,0.00033907394,0.0016610316,0.000035649762,0.000037508857,0.000019768248,0.00006561379,0.000015965148,0.00035527645],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911577,0.00040226438,0.0000510586,0.0001595255,0.00014954053,0.00012175126],"domain_scores_gemma":[0.965643,0.025943235,0.004443031,0.0013590079,0.001386075,0.0012256183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001902982,0.00032239346,0.0007419586,0.0015927736,0.0008871222,0.0020881281,0.00073651166,0.0016399365,0.0036465342],"category_scores_gemma":[0.041252162,0.0004688739,0.000321572,0.0007710504,0.0010663982,0.0043676645,0.0007919284,0.0010250503,0.00043339783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010334876,0.00044260116,0.11410378,0.0011183968,0.00046230477,0.0013130183,0.0010062178,0.48262203,0.038980555,0.235068,0.0063082906,0.117541365],"study_design_scores_gemma":[0.00006193875,0.00040756038,0.03868218,0.00009493277,0.000231413,0.001132358,0.00057875906,0.73446155,0.0046341564,0.21709682,0.0025314405,0.000086945714],"about_ca_topic_score_codex":0.00068255916,"about_ca_topic_score_gemma":0.00081902236,"teacher_disagreement_score":0.0036465342,"about_ca_system_score_codex":0.0007760149,"about_ca_system_score_gemma":0.0006174634,"threshold_uncertainty_score":0.012198806},"labels":[],"label_agreement":null},{"id":"W2064277809","doi":"10.1016/j.jtbi.2007.10.022","title":"The application of genetic algorithms in behavioural ecology, illustrated with a model of anti-predator vigilance","year":2007,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Foraging; Ecology; Evolutionary ecology; Vigilance (psychology); Population; Computer science; Biology; Cognitive psychology; Psychology; Sociology; Demography","score_opus":0.017940526050052166,"score_gpt":0.25960252955541985,"score_spread":0.24166200350536768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064277809","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13108565,0.0015022664,0.84476197,0.0024104186,0.0001595671,0.000043236745,0.00002891185,0.00024618168,0.019761821],"genre_scores_gemma":[0.85302,0.00095219485,0.14283168,0.00021885989,0.00007427446,0.000064046355,0.00001639109,0.00005057138,0.002772163],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996785,0.00022723504,0.000009843669,0.0000243589,0.00003839286,0.000021669803],"domain_scores_gemma":[0.99842703,0.0013267307,0.000050598628,0.00006721979,0.00008467593,0.000043787168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010608541,0.0006349597,0.00063372584,0.0004916082,0.00058956555,0.00095397834,0.0010337604,0.0019652813,0.0012498475],"category_scores_gemma":[0.00449029,0.00031280305,0.00065829454,0.00062845723,0.0015704257,0.00092880474,0.0009948512,0.0010416926,0.00015618507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038396778,0.00004222059,0.0013393296,0.000046134257,0.000070194495,0.00022835383,0.00016097572,0.8678005,0.0014939086,0.10544267,0.00060076726,0.022736514],"study_design_scores_gemma":[0.000014391047,0.000023549705,0.00020987261,0.000008083376,0.0000111152585,0.00005810265,0.000019754034,0.9393258,0.00011608131,0.059728786,0.0004768754,0.000007648875],"about_ca_topic_score_codex":0.006535933,"about_ca_topic_score_gemma":0.0044595837,"teacher_disagreement_score":0.006535933,"about_ca_system_score_codex":0.00055236835,"about_ca_system_score_gemma":0.00058081286,"threshold_uncertainty_score":0.0129957795},"labels":[],"label_agreement":null},{"id":"W2064859095","doi":"10.1016/j.jtbi.2013.05.018","title":"A model for the impact of contaminants on fish population dynamics","year":2013,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Environment and Protected Areas; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Research Chairs","keywords":"Population model; Population; Population dynamics of fisheries; Toxin; Parametrization (atmospheric modeling); Mathematical model; Biological system; Environmental science; Biology; Econometrics; Biochemical engineering; Mathematics; Fish <Actinopterygii>; Statistics; Fishery; Physics; Engineering","score_opus":0.012156657686886488,"score_gpt":0.28240052868329346,"score_spread":0.27024387099640695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064859095","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29822028,0.0013111543,0.6167642,0.012583246,0.0005508525,0.00016110465,0.004461546,0.00087068597,0.06507704],"genre_scores_gemma":[0.91289204,0.0010058272,0.022823164,0.0007672877,0.00020043373,0.000370408,0.0008778589,0.00018182017,0.060881082],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996371,0.000121537574,0.000014086892,0.000093149574,0.00004106898,0.000092950795],"domain_scores_gemma":[0.9982539,0.0011536311,0.0001619584,0.0000733072,0.00018790981,0.0001693082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011359574,0.0008417921,0.0012861841,0.0010684325,0.0009453777,0.0017293617,0.0029913879,0.0044444576,0.01474821],"category_scores_gemma":[0.005046183,0.00058943906,0.0014347723,0.0012085906,0.0011733337,0.0029009846,0.0014189543,0.0018295585,0.0016291839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058209782,0.000051199262,0.0018418106,0.00006884845,0.00005912967,0.00019054317,0.00010165113,0.91700613,0.0009285204,0.07382562,0.002264495,0.0036037993],"study_design_scores_gemma":[0.000043007236,0.000029021414,0.0004252194,0.000010035876,0.000028133401,0.000066892535,0.000033279877,0.9725748,0.000061449115,0.0257405,0.00096877135,0.000018982351],"about_ca_topic_score_codex":0.02661869,"about_ca_topic_score_gemma":0.012981568,"teacher_disagreement_score":0.02661869,"about_ca_system_score_codex":0.0015956849,"about_ca_system_score_gemma":0.0015923732,"threshold_uncertainty_score":0.052927494},"labels":[],"label_agreement":null},{"id":"W2066623772","doi":"10.1016/j.jtbi.2007.11.026","title":"Predictive modeling of siderphore production by Pseudomonas fluorescens under iron limitation","year":2007,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Bacterial biofilms and quorum sensing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; University of California, Riverside; Volkswagen Foundation","keywords":"Pyoverdine; Pseudomonas fluorescens; Population; Biological system; Siderophore; Biochemical engineering; Chemistry; Biology; Bacteria; Biochemistry; Engineering","score_opus":0.008761206213418265,"score_gpt":0.253326472775669,"score_spread":0.24456526656225072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066623772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9489749,0.00027530818,0.045525186,0.00047544038,0.000040946747,0.00003142869,0.00016963056,0.00016522626,0.004341871],"genre_scores_gemma":[0.99784327,0.000050419283,0.001282745,0.000013129145,0.000005041041,0.000015675107,0.00003573371,0.000008185452,0.00074583443],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999012,0.000028139266,0.000004301396,0.00001964735,0.000024074276,0.000022656683],"domain_scores_gemma":[0.99898225,0.0007610437,0.00007802624,0.00002726082,0.00010871266,0.00004266284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048629552,0.0005586913,0.00091530103,0.00033930567,0.00044144582,0.0009217234,0.0009723841,0.0014167696,0.0009861698],"category_scores_gemma":[0.0016729208,0.000533482,0.000558041,0.00028753257,0.00060834025,0.0005853254,0.0004441919,0.0006937562,0.00009997502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001387909,0.00001310078,0.00023725152,0.000007472584,0.000004501817,0.000020122767,0.0000049496857,0.99860114,0.00038420124,0.00021135867,0.000024425068,0.00047746315],"study_design_scores_gemma":[0.000001907579,0.000004653149,0.000052244835,3.306133e-7,0.0000010517856,8.4551885e-7,0.0000013421941,0.9997694,0.00009975387,0.00006133923,0.0000063114903,8.5421135e-7],"about_ca_topic_score_codex":0.034633927,"about_ca_topic_score_gemma":0.0126226125,"teacher_disagreement_score":0.034633927,"about_ca_system_score_codex":0.0010409058,"about_ca_system_score_gemma":0.0010398087,"threshold_uncertainty_score":0.0688647},"labels":[],"label_agreement":null},{"id":"W2067734962","doi":"10.1016/j.jtbi.2007.11.027","title":"Separate roles of the latent and infectious periods in shaping the relation between the basic reproduction number and the intrinsic growth rate of infectious disease outbreaks","year":2007,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Agency of Canada","funders":"Health Canada; National Institutes of Health; Massey University; Public Health Agency of Canada","keywords":"Infectious disease (medical specialty); Branching process; Gamma distribution; Mathematics; Basic reproduction number; Statistics; Generation time; Exponential distribution; Outbreak; Econometrics; Disease; Demography; Biology; Medicine; Population; Virology; Internal medicine","score_opus":0.04980601750301264,"score_gpt":0.35607290083441206,"score_spread":0.3062668833313994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067734962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9365616,0.0015429555,0.05122626,0.0013317311,0.000064806554,0.000034271372,0.00013225291,0.00011838331,0.008987839],"genre_scores_gemma":[0.99656194,0.00036577904,0.0019172088,0.000052086063,0.000048415513,0.000016926328,0.000033463126,0.000040765244,0.0009633902],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991892,0.00037551345,0.00004231518,0.00014839195,0.000079095815,0.00016547517],"domain_scores_gemma":[0.95046026,0.04243488,0.003412953,0.0015934228,0.0007696308,0.0013288786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038419159,0.00057800766,0.0007485325,0.0012477338,0.00058224116,0.0024919428,0.0011858265,0.0016880487,0.0038800472],"category_scores_gemma":[0.043690905,0.0009333302,0.0006660193,0.00042206084,0.002626966,0.0047412743,0.0012554403,0.0020845393,0.00044332136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020992863,0.00058751286,0.14826685,0.00092457124,0.00046470546,0.0014330121,0.0044313464,0.11183794,0.083963625,0.5720554,0.0025087192,0.07142695],"study_design_scores_gemma":[0.00027435474,0.00044381488,0.26060152,0.00022908926,0.00051297166,0.0021093322,0.0013296732,0.37299758,0.007237943,0.35160303,0.002296501,0.00036419672],"about_ca_topic_score_codex":0.000662831,"about_ca_topic_score_gemma":0.0009049066,"teacher_disagreement_score":0.0038800472,"about_ca_system_score_codex":0.00061224005,"about_ca_system_score_gemma":0.00055353047,"threshold_uncertainty_score":0.02031827},"labels":[],"label_agreement":null},{"id":"W2068319542","doi":"10.1016/j.jtbi.2011.01.021","title":"Estimating gap lifetime and memory from a simple model of forest canopy dynamics","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University; University of Guelph; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Forest dynamics; Disturbance (geology); Canopy; Simple (philosophy); Long memory; Closure (psychology); Dynamics (music); Statistical physics; Ecology; Environmental science; Econometrics; Mathematics; Physics; Geology; Biology","score_opus":0.01464346425832573,"score_gpt":0.24568893912837966,"score_spread":0.23104547487005395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068319542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95828396,0.00016928003,0.04106662,0.00007571054,0.0000057604657,0.00000816276,0.0000855918,0.00008805555,0.00021694505],"genre_scores_gemma":[0.99542505,0.000049636932,0.0042651393,0.0000069519724,0.0000059265726,0.0000063906987,0.000074751515,0.000008249462,0.00015789439],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998847,0.000030735802,0.000007586446,0.0000392354,0.00001073723,0.000026915402],"domain_scores_gemma":[0.9954182,0.0037231508,0.0002977,0.0002856236,0.00010801451,0.0001673638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011277555,0.0004834618,0.0010060928,0.0007439226,0.00038497022,0.0006701598,0.0010179612,0.0013093881,0.00060190074],"category_scores_gemma":[0.007174616,0.0006847166,0.0005002481,0.0005173802,0.000496105,0.0017496587,0.0007097275,0.0006230414,0.00010472078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035709862,0.00011221967,0.029566737,0.000057808335,0.00010787368,0.000114461276,0.00007900016,0.9469585,0.0027303107,0.0018948109,0.0002012058,0.017819945],"study_design_scores_gemma":[0.000008331357,0.000019611867,0.00244815,0.0000020735458,0.000014044592,0.000033877805,0.0000066881603,0.9956369,0.00027751317,0.0015301045,0.000016063444,0.0000067619276],"about_ca_topic_score_codex":0.008698633,"about_ca_topic_score_gemma":0.008226973,"teacher_disagreement_score":0.008698633,"about_ca_system_score_codex":0.0007479827,"about_ca_system_score_gemma":0.00070390775,"threshold_uncertainty_score":0.017296016},"labels":[],"label_agreement":null},{"id":"W2069101402","doi":"10.1016/j.jtbi.2011.08.003","title":"Age-specific mortality risk from pandemic influenza","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Victoria","funders":"Canadian Institutes of Health Research; Public Health Agency","keywords":"Pandemic; Antigenic drift; Immunology; Influenza pandemic; Original antigenic sin; Biology; Antigen; Immune system; Antigenic variation; Antigenic shift; Human mortality from H5N1; Immunity; Mortality rate; Demography; Influenza A virus; Virology; Virus; Medicine; Coronavirus disease 2019 (COVID-19); Disease; Infectious disease (medical specialty); Internal medicine","score_opus":0.18184395086856617,"score_gpt":0.4101710723783882,"score_spread":0.228327121509822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069101402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953961,0.0007861673,0.0003746265,0.00044312738,0.000040806262,0.0000043472373,0.0009876619,0.000014565721,0.0019525574],"genre_scores_gemma":[0.99897325,0.00023665668,0.000042105145,0.000024698436,0.000037823957,0.0000021865048,0.00034760011,0.000001751145,0.00033386768],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996586,0.000111775276,0.000027956321,0.000068955145,0.00002956067,0.00010318524],"domain_scores_gemma":[0.9972614,0.0011902724,0.0005372694,0.00038076148,0.00023482455,0.00039552056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011637432,0.00026869975,0.00029622868,0.0007185445,0.0002690376,0.00037866586,0.000405452,0.0008362684,0.0030496104],"category_scores_gemma":[0.0068735466,0.00027142232,0.00083914323,0.00043470282,0.00018642511,0.00069056643,0.0005003972,0.0009211001,0.00034200997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008014627,0.000084632724,0.9867356,0.00004101777,0.0004175442,0.00026145153,0.00017992809,0.0023080595,0.0005012045,0.0008833233,0.00081638986,0.0069694705],"study_design_scores_gemma":[0.000013134967,0.00016887032,0.9954157,0.000011487485,0.00019897481,0.00044798417,0.00027627998,0.0021664298,0.00014488737,0.0008643207,0.00027864985,0.00001327389],"about_ca_topic_score_codex":0.0043541845,"about_ca_topic_score_gemma":0.0037328496,"teacher_disagreement_score":0.0043541845,"about_ca_system_score_codex":0.00022554254,"about_ca_system_score_gemma":0.00020726066,"threshold_uncertainty_score":0.010201991},"labels":[],"label_agreement":null},{"id":"W2069702180","doi":"10.1016/j.jtbi.2010.06.004","title":"Comparing strategies to preserve evolutionary diversity","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Marsden Fund; Natural Sciences and Engineering Research Council of Canada","keywords":"Diversity (politics); Evolutionary biology; Biology; Computer science; Political science","score_opus":0.011006857676298677,"score_gpt":0.2562822549200082,"score_spread":0.24527539724370956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069702180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896075,0.00022036914,0.005975389,0.00026805894,0.000017689832,0.000022973789,0.000025521771,0.000018340457,0.0038442372],"genre_scores_gemma":[0.9966084,0.0000677498,0.0027978409,0.0000439399,0.0000060357042,0.000023873245,0.000022782704,0.000010134862,0.00041923093],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99887496,0.00065298576,0.000054450597,0.00014136858,0.00012302726,0.00015327572],"domain_scores_gemma":[0.9883398,0.009555483,0.0005674022,0.0007474554,0.00031839526,0.00047148907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00431672,0.0005113349,0.00054204185,0.0013050914,0.0004453823,0.0019234291,0.0009380445,0.0015027456,0.004757805],"category_scores_gemma":[0.018216861,0.00026089564,0.00052544585,0.000706552,0.0012185711,0.002275771,0.0010468619,0.0007728504,0.0002642512],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009100232,0.00299654,0.125112,0.0007376153,0.0025289985,0.00034560604,0.0018096316,0.25181097,0.021837246,0.2604673,0.0024007687,0.32085302],"study_design_scores_gemma":[0.0017218003,0.00859145,0.06511649,0.0001589097,0.0017506125,0.00046935488,0.0053304387,0.442157,0.008728429,0.46128246,0.004563024,0.00013001783],"about_ca_topic_score_codex":0.0006878662,"about_ca_topic_score_gemma":0.0014050972,"teacher_disagreement_score":0.004757805,"about_ca_system_score_codex":0.0012108266,"about_ca_system_score_gemma":0.00060151337,"threshold_uncertainty_score":0.022829235},"labels":[],"label_agreement":null},{"id":"W2072003240","doi":"10.1016/j.jtbi.2011.10.012","title":"Mathematical model of GAL regulon dynamics in Saccharomyces cerevisiae","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Regulon; Galactose; Saccharomyces cerevisiae; Population; Mechanism (biology); Computational biology; Mutant; Bistability; Systems biology; Biology; Biological system; Transcriptional regulation; Gene; Computer science; Genetics; Physics; Gene expression; Biochemistry","score_opus":0.022536845345869028,"score_gpt":0.28265204876841254,"score_spread":0.2601152034225435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072003240","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30160266,0.0028236755,0.575207,0.005471651,0.00031830638,0.00020710459,0.0041036913,0.0009134664,0.10935244],"genre_scores_gemma":[0.9418714,0.0010565502,0.024743188,0.0004302367,0.0000816076,0.00064139353,0.0014246448,0.00015930293,0.029591726],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998123,0.000054748827,0.000009380858,0.0000447531,0.000041059917,0.000037686208],"domain_scores_gemma":[0.99920315,0.00044260063,0.00011813156,0.000030891373,0.00012894945,0.00007617653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004912836,0.00084847404,0.0008985702,0.00087091496,0.0005935718,0.0013083441,0.001372323,0.0018720797,0.007854652],"category_scores_gemma":[0.0021221016,0.00040726858,0.00093385816,0.00057614944,0.0009166897,0.00092351314,0.0011686544,0.0010952005,0.0007074289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036549358,0.00002031291,0.000748285,0.000054919805,0.000024234168,0.00013755567,0.000060190552,0.941165,0.0009587259,0.054533813,0.00096532336,0.0012951456],"study_design_scores_gemma":[0.000011724559,0.0000065102663,0.00010117401,0.000004584569,0.0000050222443,0.000011813407,0.000011502656,0.9938638,0.0000450513,0.0055234344,0.00041065452,0.000004669591],"about_ca_topic_score_codex":0.021968361,"about_ca_topic_score_gemma":0.0080850795,"teacher_disagreement_score":0.021968361,"about_ca_system_score_codex":0.0015398102,"about_ca_system_score_gemma":0.001160973,"threshold_uncertainty_score":0.043680966},"labels":[],"label_agreement":null},{"id":"W2072043972","doi":"10.1016/j.jtbi.2013.08.021","title":"Environmental weakening of trophic interactions drives stability in stochastic food webs","year":2013,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Academy of Finland","keywords":"Food web; Trophic level; Resource (disambiguation); Adaptation (eye); Ecology; Competition (biology); Stability (learning theory); Natural resource; Environmental resource management; Environmental science; Computer science; Biology","score_opus":0.021554037511426098,"score_gpt":0.21167729404586924,"score_spread":0.19012325653444315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072043972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99689925,0.000020591488,0.002426274,0.00006291766,0.0000032316318,0.0000013623044,0.000012434106,0.000016490465,0.0005574618],"genre_scores_gemma":[0.9997402,0.000010611575,0.00016228002,0.0000079755155,0.000002427667,9.628701e-7,0.0000071290046,0.0000028652441,0.000065616085],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998167,0.000055401622,0.0000150897895,0.000047853377,0.000030244537,0.00003469737],"domain_scores_gemma":[0.9963356,0.0019692827,0.00085874164,0.00027939669,0.00021091173,0.00034597339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062223023,0.00014301541,0.00030060115,0.00051284855,0.00037415535,0.0010318476,0.00031631053,0.00052391697,0.001713404],"category_scores_gemma":[0.0059784935,0.0003250368,0.00025536068,0.00022003938,0.0007295242,0.0006312624,0.0006884965,0.00042519535,0.00016618831],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012650382,0.00048243417,0.3956547,0.00038665684,0.0009455958,0.0013275642,0.0012351079,0.24457318,0.22694801,0.07695974,0.0017579402,0.048463933],"study_design_scores_gemma":[0.00009272678,0.00039115123,0.36025825,0.000023184944,0.00018859757,0.0005119922,0.0005793103,0.54220206,0.0072964136,0.087560505,0.0008119238,0.000083856],"about_ca_topic_score_codex":0.0007311472,"about_ca_topic_score_gemma":0.0010919108,"teacher_disagreement_score":0.001713404,"about_ca_system_score_codex":0.00041504015,"about_ca_system_score_gemma":0.0002100679,"threshold_uncertainty_score":0.0057318807},"labels":[],"label_agreement":null},{"id":"W2072424048","doi":"10.1016/j.jtbi.2013.10.018","title":"The evolutionary and behavioral modification of consumer responses to environmental change","year":2013,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ecology; Population; Environmental change; Population growth; Population size; Trait; Biology; Density dependence; Resource (disambiguation); Evolutionary ecology; Foraging; Population density; Growth rate; Climate change; Mathematics; Demography; Computer science","score_opus":0.015825748682356502,"score_gpt":0.292936287865459,"score_spread":0.2771105391831025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072424048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99643123,0.00006827958,0.0009608078,0.00021035544,0.0000052663463,0.0000033701174,0.000021557267,0.0000072397283,0.002291941],"genre_scores_gemma":[0.9991779,0.000048648777,0.00037089907,0.000046307086,0.0000051020033,0.0000029755179,0.000015294592,0.00000605477,0.00032686655],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996493,0.00016915274,0.000010845961,0.00006611412,0.000050460225,0.000054204524],"domain_scores_gemma":[0.99895084,0.0005372619,0.00014565492,0.00012225121,0.00011552048,0.00012845939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092926406,0.0002210972,0.00019963736,0.0005802084,0.00034040745,0.00092982023,0.00048600978,0.001011938,0.0027060658],"category_scores_gemma":[0.0029826544,0.0002838625,0.0003233326,0.00037486444,0.001182022,0.0005874489,0.00055660616,0.000668101,0.00017282003],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017253611,0.001070058,0.43807074,0.0003433719,0.0008684208,0.0016262808,0.0032225798,0.033280235,0.34367695,0.05664371,0.0012119969,0.118260294],"study_design_scores_gemma":[0.000036916754,0.00025308464,0.93999326,0.000014045802,0.000093357055,0.0006357464,0.00090649124,0.038546514,0.0045541073,0.013880927,0.0010305877,0.000054913347],"about_ca_topic_score_codex":0.0017334635,"about_ca_topic_score_gemma":0.0021670547,"teacher_disagreement_score":0.0027060658,"about_ca_system_score_codex":0.0004993282,"about_ca_system_score_gemma":0.00029065783,"threshold_uncertainty_score":0.009052753},"labels":[],"label_agreement":null},{"id":"W2072655426","doi":"10.1016/j.jtbi.2010.08.013","title":"Non-local models for the formation of hepatocyte–stellate cell aggregates","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Liver physiology and pathology","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Biotechnology and Biological Sciences Research Council; Engineering and Physical Sciences Research Council; University of British Columbia; Royal Commission for the Exhibition of 1851","keywords":"Hepatic stellate cell; Hepatocyte; Population; Biophysics; Aggregate (composite); Chemistry; Biology; In vitro; Materials science; Nanotechnology; Biochemistry","score_opus":0.011836246498786594,"score_gpt":0.27040942658232825,"score_spread":0.25857318008354163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072655426","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32594803,0.003273183,0.59804493,0.003108913,0.00052123837,0.00017589016,0.00030335155,0.000375382,0.06824904],"genre_scores_gemma":[0.9510994,0.0010531489,0.024422271,0.0002590699,0.00017780095,0.00022557873,0.00016015343,0.00013818103,0.022464467],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951005,0.00016943866,0.000025361236,0.00007462176,0.00013859983,0.00008188456],"domain_scores_gemma":[0.9990682,0.00030509473,0.00017887935,0.00012352088,0.00014302925,0.00018126117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007783318,0.00077708386,0.0012613636,0.0010445024,0.0010698675,0.0015349422,0.0020369464,0.0018594833,0.0037194495],"category_scores_gemma":[0.0016817838,0.000572072,0.0014714943,0.0004876107,0.0018773333,0.0020494899,0.0021028565,0.0013618077,0.0007071634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000816594,0.00012805763,0.00042582722,0.00017582906,0.00004959349,0.00038915742,0.00031868057,0.29934287,0.020512894,0.6740202,0.0016406984,0.0029145556],"study_design_scores_gemma":[0.00006257302,0.00006485241,0.00027320292,0.000014875398,0.000022664888,0.00012305405,0.00007625749,0.8869662,0.0027354266,0.10811175,0.0015152365,0.0000339796],"about_ca_topic_score_codex":0.0017098092,"about_ca_topic_score_gemma":0.0017196112,"teacher_disagreement_score":0.0037194495,"about_ca_system_score_codex":0.0013197226,"about_ca_system_score_gemma":0.0005535661,"threshold_uncertainty_score":0.012442768},"labels":[],"label_agreement":null},{"id":"W2073853132","doi":"10.1016/j.jtbi.2008.05.026","title":"Projection of tuberculosis incidence with increasing immigration trends","year":2008,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; St. Michael's Hospital","funders":"Public Health Agency of Canada","keywords":"Immigration; Incidence (geometry); Transmission (telecommunications); Tuberculosis; Demography; Population; Epidemiology; Geography; Medicine; Sociology; Computer science; Mathematics","score_opus":0.019199307786224633,"score_gpt":0.3261913219226752,"score_spread":0.30699201413645055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073853132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908206,0.00025141414,0.0012097764,0.00082813186,0.000027688238,0.000010789303,0.0024814084,0.00006279655,0.0043073646],"genre_scores_gemma":[0.9971213,0.0002514913,0.0005816952,0.00002931715,0.000019444631,0.000006509832,0.0011486862,0.000006657996,0.0008349633],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996457,0.00012539345,0.000025306446,0.00005694624,0.00005857086,0.00008805803],"domain_scores_gemma":[0.99786204,0.0005526221,0.00048266147,0.00015815179,0.0006203072,0.00032410157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006292432,0.0002102416,0.00016226243,0.0012085083,0.000307134,0.000916068,0.00033983367,0.0003920231,0.0047557573],"category_scores_gemma":[0.0048454027,0.00018288082,0.0006096378,0.0013951734,0.00023532286,0.0006076406,0.00085801596,0.000915363,0.0007498605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037277682,0.00006573843,0.9696426,0.000048438513,0.00007271697,0.00016349356,0.0003167707,0.007447205,0.0006795387,0.0022211683,0.0018039441,0.017165642],"study_design_scores_gemma":[0.000017012473,0.00018152868,0.9725739,0.000028068414,0.00006383661,0.00051817915,0.00082681025,0.022741945,0.0004163738,0.0008488146,0.0017676717,0.000015984513],"about_ca_topic_score_codex":0.019717373,"about_ca_topic_score_gemma":0.01664415,"teacher_disagreement_score":0.019717373,"about_ca_system_score_codex":0.00061656215,"about_ca_system_score_gemma":0.0007036434,"threshold_uncertainty_score":0.039205194},"labels":[],"label_agreement":null},{"id":"W2074333823","doi":"10.1016/j.jtbi.2006.12.038","title":"Optimal drug treatment regimens for HIV depend on adherence","year":2007,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Drug; Regimen; Medicine; Drug resistance; Human immunodeficiency virus (HIV); Pharmacology; Intensive care medicine; Internal medicine; Immunology; Biology","score_opus":0.017438275060252452,"score_gpt":0.31765582852739827,"score_spread":0.3002175534671458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074333823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6844726,0.081225865,0.10837946,0.046315428,0.0018462393,0.00034610796,0.00036155578,0.00022528337,0.07682749],"genre_scores_gemma":[0.97473335,0.010275896,0.010416279,0.0017837281,0.0005930009,0.00009165402,0.000053235424,0.000022189455,0.0020306574],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892515,0.0006182856,0.000060813392,0.0000542754,0.0002105606,0.00013082099],"domain_scores_gemma":[0.9974153,0.0017290286,0.00035381204,0.00020259978,0.00014954607,0.00014967291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012986845,0.00026794174,0.0007131637,0.00030760432,0.00052442733,0.0011422955,0.00033484187,0.00076642167,0.0032901368],"category_scores_gemma":[0.0058881375,0.00016602548,0.0003255075,0.0002202409,0.00062347803,0.0013820055,0.00065296993,0.0011947618,0.00048785875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001214052,0.00095489074,0.02220707,0.000607105,0.0002756614,0.00034164838,0.00035462086,0.013578984,0.018204633,0.14975093,0.0098288525,0.7826816],"study_design_scores_gemma":[0.00038397653,0.003111564,0.082023494,0.0010282674,0.00058112515,0.0021793577,0.0014544661,0.05523865,0.017074022,0.7969488,0.039872475,0.00010382044],"about_ca_topic_score_codex":0.00039235922,"about_ca_topic_score_gemma":0.00063148205,"teacher_disagreement_score":0.0032901368,"about_ca_system_score_codex":0.0004073888,"about_ca_system_score_gemma":0.0006265129,"threshold_uncertainty_score":0.011006653},"labels":[],"label_agreement":null},{"id":"W2074694117","doi":"10.1016/j.jtbi.2007.07.008","title":"Calculation of folding energies of single-stranded nucleic acid sequences: Conceptual issues","year":2007,"lang":"en","type":"review","venue":"Journal of Theoretical Biology","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Shuffling; Base pair; Nucleic acid secondary structure; Folding (DSP implementation); Nucleic acid; Nucleic acid structure; Computational biology; Protein secondary structure; RNA; Sequence (biology); Biology; DNA; Genetics; Chemistry; Computer science; Gene; Biochemistry","score_opus":0.05169996854854034,"score_gpt":0.34788892920690634,"score_spread":0.296188960658366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074694117","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009486262,0.74407,0.22828504,0.0037243096,0.0019176853,0.000048160848,0.000115668925,0.00034626081,0.012006657],"genre_scores_gemma":[0.08381122,0.7939531,0.11075982,0.00084950717,0.0017581815,0.0001894128,0.00039309837,0.00032000057,0.0079656085],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99964094,0.00010192888,0.00002508993,0.00006725558,0.00014509539,0.00001959524],"domain_scores_gemma":[0.9991417,0.0005788549,0.00003058961,0.00008850594,0.00013942756,0.000020817752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013587608,0.0012121027,0.0026384648,0.0009534286,0.0004271419,0.001138179,0.0042327004,0.001726496,0.0023148814],"category_scores_gemma":[0.0023569425,0.00068140513,0.0008991619,0.0018777113,0.0023350504,0.0023029088,0.0011672621,0.0022339232,0.0017014326],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000108371685,0.0001300784,0.0004077711,0.006425785,0.00022071872,0.00023634014,0.00011721473,0.11452598,0.0077076913,0.4114097,0.01161822,0.44709218],"study_design_scores_gemma":[0.000081241385,0.000087580986,0.00043944866,0.0010828167,0.0000919601,0.00065566454,0.00008415908,0.1382195,0.01052786,0.7161684,0.13246256,0.000098800585],"about_ca_topic_score_codex":0.00068648666,"about_ca_topic_score_gemma":0.0005158266,"teacher_disagreement_score":0.0042327004,"about_ca_system_score_codex":0.0011003074,"about_ca_system_score_gemma":0.00070286973,"threshold_uncertainty_score":0.007983267},"labels":[],"label_agreement":null},{"id":"W2074913161","doi":"10.1006/jtbi.2000.2097","title":"Fundamental Theorem of Natural Selection and Frequency-dependent Selection: Analysis of the Matrix Game Diploid Model","year":2000,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Natural selection; Selection (genetic algorithm); Ploidy; Mathematics; Fisher information; Variance (accounting); Matrix (chemical analysis); Statistics; Biology; Evolutionary biology; Mathematical economics; Applied mathematics; Genetics; Computer science; Artificial intelligence; Economics","score_opus":0.003182113958463796,"score_gpt":0.25546771372742894,"score_spread":0.25228559976896514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074913161","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2239005,0.0013051749,0.6949445,0.004851774,0.000200565,0.00009023678,0.0004659173,0.0001985227,0.07404276],"genre_scores_gemma":[0.96197087,0.00084099686,0.021143824,0.00038774183,0.00027078684,0.000122044345,0.00014274691,0.0000701695,0.0150508545],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99967563,0.000111563124,0.000010694367,0.000041916683,0.00009785549,0.00006233762],"domain_scores_gemma":[0.9982495,0.0011605693,0.0001489248,0.00010619105,0.00017798993,0.00015682918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010356092,0.00039388938,0.00080140977,0.000752137,0.0006936388,0.0012230416,0.0014896741,0.001173555,0.007130345],"category_scores_gemma":[0.0049506957,0.00027822587,0.000729341,0.0005357241,0.0014504512,0.0022197308,0.00095893664,0.0012558487,0.0005541679],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013736009,0.000020256915,0.0002690718,0.000026748821,0.000012289053,0.00006218071,0.00006376289,0.023656303,0.0009001897,0.9708524,0.0016430643,0.0024800315],"study_design_scores_gemma":[0.000017768123,0.000013451934,0.000326245,0.000008109596,0.000005882266,0.0001150802,0.000025657522,0.20095809,0.00009545571,0.7974332,0.0009871826,0.000013836233],"about_ca_topic_score_codex":0.0031599905,"about_ca_topic_score_gemma":0.0016442296,"teacher_disagreement_score":0.007130345,"about_ca_system_score_codex":0.001383763,"about_ca_system_score_gemma":0.0014232498,"threshold_uncertainty_score":0.023853421},"labels":[],"label_agreement":null},{"id":"W2075070911","doi":"10.1016/j.jtbi.2010.08.026","title":"Scaling of lunge feeding in rorqual whales: An integrated model of engulfment duration","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mechanics; Whale; Scaling; Krill; Anatomy; Biology; Physics; Mathematics; Ecology; Geometry","score_opus":0.016181496895415093,"score_gpt":0.27678204348138036,"score_spread":0.26060054658596526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075070911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8965488,0.00053438323,0.08843803,0.002095005,0.00009162792,0.0000584479,0.0004849095,0.00023825407,0.011510683],"genre_scores_gemma":[0.99292976,0.00016172651,0.0025379332,0.00009071127,0.00004513301,0.000054100088,0.000119506156,0.00008918032,0.0039719664],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969745,0.000089871006,0.000015694459,0.00010035219,0.000028150733,0.00006850451],"domain_scores_gemma":[0.9985201,0.0006902447,0.00023700115,0.00014756407,0.00015845557,0.00024674865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012937117,0.0006518895,0.0010816096,0.0007294721,0.0006598652,0.0022036834,0.0022083446,0.002422864,0.004384709],"category_scores_gemma":[0.0056886626,0.0008594867,0.0017275302,0.0005655206,0.0015394386,0.0022894987,0.0012981682,0.0013656451,0.00066958525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001441197,0.00016802717,0.008910182,0.000076511984,0.00013875158,0.00023654288,0.00035382932,0.9424663,0.0034865814,0.037827477,0.00095570105,0.005235968],"study_design_scores_gemma":[0.000014064496,0.000029689447,0.00517992,0.000005492792,0.00002532957,0.000033815217,0.000047735877,0.9883704,0.00005563067,0.006088435,0.0001293801,0.000020163221],"about_ca_topic_score_codex":0.015526153,"about_ca_topic_score_gemma":0.0065343603,"teacher_disagreement_score":0.015526153,"about_ca_system_score_codex":0.0012520863,"about_ca_system_score_gemma":0.00069237244,"threshold_uncertainty_score":0.03087157},"labels":[],"label_agreement":null},{"id":"W2075979030","doi":"10.1016/j.jtbi.2006.12.026","title":"Lorentzian model of roots for understory yellow birch and sugar maple saplings","year":2006,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Forest ecology and management","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Maple; Understory; Yellow birch; Canopy; Sugar; Biomass (ecology); Aceraceae; Botany; Horticulture; Mathematics; Biology; Agronomy","score_opus":0.007806823221416685,"score_gpt":0.2255410670534294,"score_spread":0.21773424383201273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075979030","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43240649,0.00092728063,0.5233923,0.0031062367,0.00027358852,0.00010785693,0.000708152,0.00066201633,0.038416002],"genre_scores_gemma":[0.9348267,0.00052572385,0.015851349,0.00038817752,0.0001968162,0.00011339331,0.00034918007,0.00028150357,0.047467344],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995683,0.00013787055,0.00001537458,0.00007487468,0.00007759458,0.00012598388],"domain_scores_gemma":[0.9971118,0.001320214,0.00022361851,0.00028527444,0.00050088577,0.0005581772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002184943,0.0007815184,0.0015708108,0.00111154,0.0011643214,0.0016098614,0.0044302177,0.0027119417,0.0064039305],"category_scores_gemma":[0.00639865,0.00072336907,0.0013900654,0.00090287323,0.002178784,0.004214509,0.001229513,0.0022850763,0.0012661663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000112158246,0.00006954315,0.0016000827,0.000063002255,0.000045503806,0.00026534643,0.00023879952,0.35632175,0.0015103535,0.6329194,0.0028179553,0.0040360033],"study_design_scores_gemma":[0.000018521372,0.000011282922,0.00048596045,0.0000039256906,0.000011370005,0.00004484984,0.000045336383,0.90074,0.00009519399,0.098263934,0.000257999,0.00002148849],"about_ca_topic_score_codex":0.014937729,"about_ca_topic_score_gemma":0.012699777,"teacher_disagreement_score":0.014937729,"about_ca_system_score_codex":0.0015495354,"about_ca_system_score_gemma":0.001730368,"threshold_uncertainty_score":0.02970159},"labels":[],"label_agreement":null},{"id":"W2076116762","doi":"10.1016/j.jtbi.2014.06.021","title":"Effect of introducing a competitor on cyclic dominance of sockeye salmon","year":2014,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"California Department of Fish and Game","keywords":"Dominance (genetics); Biology; Population; Ecology; Brood; Fishery; Demography","score_opus":0.006779160791422287,"score_gpt":0.299529488441267,"score_spread":0.2927503276498447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076116762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991628,0.000049249807,0.00010484204,0.00008682696,0.000017698912,0.0000029901398,0.00002445804,0.000007770595,0.00054328446],"genre_scores_gemma":[0.9992586,0.000028233531,0.00010439352,0.00005675355,0.000008391419,0.0000030716715,0.000019177582,0.000004417289,0.00051707553],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944156,0.00022233903,0.000026122609,0.00009719055,0.000034567583,0.00017823324],"domain_scores_gemma":[0.98653305,0.008523022,0.00092869636,0.00031073985,0.00043102744,0.0032734287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013671629,0.00044963826,0.00046643303,0.00049087097,0.00073555845,0.00094487966,0.00072390353,0.0015822336,0.008056902],"category_scores_gemma":[0.007534297,0.0003185111,0.00050272996,0.00019437174,0.001009687,0.00043570617,0.0008273886,0.0010509443,0.00040613848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.04594337,0.011710294,0.33735606,0.00076110597,0.0014552613,0.0031761376,0.0015664202,0.039405,0.5069146,0.0060565495,0.003191492,0.04246368],"study_design_scores_gemma":[0.0015606373,0.03706874,0.786793,0.00009783628,0.0027364844,0.001694341,0.0057816245,0.12042301,0.03509916,0.005302795,0.0030299784,0.0004124871],"about_ca_topic_score_codex":0.009892939,"about_ca_topic_score_gemma":0.022977374,"teacher_disagreement_score":0.009892939,"about_ca_system_score_codex":0.0011290997,"about_ca_system_score_gemma":0.0010980996,"threshold_uncertainty_score":0.026953042},"labels":[],"label_agreement":null},{"id":"W2076671596","doi":"10.1016/j.jtbi.2006.01.025","title":"The distribution of positive and negative species interactions across environmental gradients on a dual-lattice model","year":2006,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":99,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Environment Research Council","keywords":"Abiotic component; Ecology; Environmental gradient; Biology; Statistical physics; Physics; Habitat","score_opus":0.015569290894092848,"score_gpt":0.23411518912210535,"score_spread":0.21854589822801251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076671596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8910348,0.000493205,0.09142203,0.003541517,0.000113545655,0.000061447536,0.0005274915,0.00024410682,0.012561901],"genre_scores_gemma":[0.9847002,0.00022614743,0.008635843,0.00014393627,0.000084645144,0.00006079337,0.00020080524,0.00005700833,0.005890588],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986981,0.0006727894,0.00003591361,0.00015975379,0.00012676023,0.00030656866],"domain_scores_gemma":[0.98533756,0.009177863,0.0013574288,0.0007383989,0.0008139072,0.002574982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003339055,0.0010313429,0.0033549534,0.0023976853,0.0017300944,0.0046030525,0.0058132345,0.003909214,0.009327379],"category_scores_gemma":[0.013072033,0.0014268543,0.0011900987,0.0015114724,0.005092048,0.0059226775,0.0023907584,0.0030806211,0.00081144477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008884911,0.00028620078,0.0037514425,0.00013501123,0.00010153784,0.00037011443,0.00016129029,0.5945231,0.0019338295,0.39207074,0.0026805277,0.0030976746],"study_design_scores_gemma":[0.00017163651,0.000033630495,0.00039097815,0.000009203057,0.00001691094,0.00006881386,0.0000647982,0.9016595,0.0000967796,0.097280264,0.00017165943,0.00003585681],"about_ca_topic_score_codex":0.008151698,"about_ca_topic_score_gemma":0.0053127143,"teacher_disagreement_score":0.009327379,"about_ca_system_score_codex":0.0023117233,"about_ca_system_score_gemma":0.0014025704,"threshold_uncertainty_score":0.03120321},"labels":[],"label_agreement":null},{"id":"W2077720193","doi":"10.1016/j.jtbi.2007.04.020","title":"Noisy attractors and ergodic sets in models of gene regulatory networks","year":2007,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":104,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Ergodic theory; Attractor; Gene regulatory network; Boolean network; Statistical physics; Noise (video); Computer science; Set (abstract data type); Stochastic process; State (computer science); Mathematics; Physics; Boolean function; Gene; Algorithm; Biology; Artificial intelligence; Pure mathematics; Gene expression; Genetics; Statistics; Mathematical analysis","score_opus":0.007100353387720793,"score_gpt":0.2488492284213301,"score_spread":0.24174887503360928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077720193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5886502,0.0016469606,0.3960593,0.0019046782,0.000122036756,0.000045806442,0.0002869419,0.0003363305,0.010947643],"genre_scores_gemma":[0.990635,0.000500812,0.006459627,0.000054226737,0.00008659543,0.000055706416,0.00010785488,0.00004057183,0.002059604],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991567,0.00043511018,0.000040943716,0.000103797596,0.00017086601,0.000092472634],"domain_scores_gemma":[0.9915452,0.006496618,0.0009510833,0.00029733486,0.0003202942,0.00038953713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001959787,0.0007752104,0.0013612153,0.0023334036,0.001111987,0.0024035184,0.0013782654,0.0013708149,0.0019501194],"category_scores_gemma":[0.013481169,0.0007913057,0.0011608369,0.001160056,0.003318686,0.0028018237,0.0018718329,0.001313941,0.00015459301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083090985,0.00003198445,0.0011881882,0.00006276237,0.000069803,0.00013769606,0.00022259362,0.33864075,0.0010370666,0.6546202,0.0006314194,0.00327439],"study_design_scores_gemma":[0.000017955781,0.000015237797,0.00032983744,0.000014342024,0.000018680175,0.00003739694,0.00003760846,0.5879956,0.00016950596,0.4111135,0.00023110678,0.000019254025],"about_ca_topic_score_codex":0.002157699,"about_ca_topic_score_gemma":0.0017470231,"teacher_disagreement_score":0.0024035184,"about_ca_system_score_codex":0.0016977693,"about_ca_system_score_gemma":0.0006630831,"threshold_uncertainty_score":0.012318194},"labels":[],"label_agreement":null},{"id":"W2078113013","doi":"10.1016/j.jtbi.2007.07.006","title":"From inclusive fitness to fixation probability in homogeneous structured populations","year":2007,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":74,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fixation (population genetics); Homogeneous; Inclusive fitness; Population; Frequency-dependent selection; Selection (genetic algorithm); Mathematics; Identity by descent; Evolutionary biology; Biology; Allele; Genetics; Computer science; Combinatorics; Artificial intelligence; Demography; Gene","score_opus":0.018155422892471268,"score_gpt":0.34928362836731214,"score_spread":0.3311282054748409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078113013","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8951089,0.0010375102,0.09101996,0.0020215716,0.00004947462,0.000018493505,0.00008047067,0.00009668248,0.010566924],"genre_scores_gemma":[0.9955699,0.00027842258,0.0030780795,0.00009880689,0.000039398812,0.000015100077,0.000019995652,0.000024313238,0.0008759718],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993611,0.00035578708,0.00002583927,0.00011125098,0.000065220316,0.000080834754],"domain_scores_gemma":[0.95619774,0.03966711,0.0017534436,0.0011124719,0.000652257,0.0006169814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031278043,0.0005066777,0.0009595553,0.0014354768,0.0007008463,0.0021138669,0.0014393609,0.0019860184,0.003940257],"category_scores_gemma":[0.038082384,0.000643789,0.00040932998,0.0009556349,0.0029118722,0.0049506603,0.0018510892,0.0015531775,0.0002557249],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029124628,0.00018815915,0.04025044,0.00047876182,0.00035402135,0.0009104463,0.0019149695,0.20354517,0.0049209483,0.70316654,0.0031178417,0.040861417],"study_design_scores_gemma":[0.00004675386,0.00006547421,0.013463045,0.000049072445,0.000090483576,0.00040626866,0.00032313567,0.21099323,0.00043753104,0.7737827,0.00029783847,0.00004456267],"about_ca_topic_score_codex":0.0012186808,"about_ca_topic_score_gemma":0.0010257063,"teacher_disagreement_score":0.003940257,"about_ca_system_score_codex":0.0008649703,"about_ca_system_score_gemma":0.00043155314,"threshold_uncertainty_score":0.0165416},"labels":[],"label_agreement":null},{"id":"W2078515538","doi":"10.1016/j.jtbi.2004.09.013","title":"A hypothesis of the disc–sphere transformation of the erythrocytes between glass surfaces and of related observations","year":2004,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Erythrocyte Function and Pathophysiology","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Band 3; Biophysics; Chemistry; Hematocrit; Membrane; Crystallography; Biochemistry; Biology; Erythrocyte membrane","score_opus":0.02251156832523955,"score_gpt":0.2526976362147153,"score_spread":0.23018606788947577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078515538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69538176,0.002753147,0.21491039,0.0076335813,0.0016594981,0.00018508102,0.00042997842,0.00086504064,0.07618152],"genre_scores_gemma":[0.98307204,0.0004386951,0.008287538,0.00033963443,0.00027331468,0.000033919925,0.00012206812,0.000027220798,0.0074055716],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997714,0.00003384213,0.00001143836,0.000072248964,0.00007432723,0.000036708465],"domain_scores_gemma":[0.99965215,0.000083517676,0.000048388578,0.0001048004,0.00004893138,0.00006221689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023046759,0.00034644562,0.00035667606,0.0008894238,0.0006615105,0.00064410566,0.0010762587,0.0012355626,0.0075854575],"category_scores_gemma":[0.0009952413,0.0001725296,0.00060280465,0.00024512934,0.001819801,0.0012193855,0.0009443266,0.000858157,0.00093721325],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037899517,0.00010624111,0.0027218882,0.00027035575,0.000038791415,0.0020899756,0.00056737324,0.004404233,0.14065509,0.82556075,0.004095411,0.019110775],"study_design_scores_gemma":[0.00017462032,0.00059396046,0.015649637,0.000029911014,0.000052219842,0.0074908664,0.00072989473,0.08490091,0.15677612,0.70699155,0.026473347,0.00013696657],"about_ca_topic_score_codex":0.00046182767,"about_ca_topic_score_gemma":0.00010370232,"teacher_disagreement_score":0.0075854575,"about_ca_system_score_codex":0.00031124102,"about_ca_system_score_gemma":0.0002093263,"threshold_uncertainty_score":0.025375903},"labels":[],"label_agreement":null},{"id":"W2078769947","doi":"10.1016/j.jtbi.2004.03.027","title":"Apparent discontinuities in the phase-resetting response of cardiac pacemakers","year":2004,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"stochastic dynamics and bifurcation","field":"Physics and Astronomy","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; McGill University","funders":"","keywords":"Stimulus (psychology); Physics; Depolarization; Population; Classification of discontinuities; Mechanics; Mathematics; Mathematical analysis; Biophysics; Medicine; Biology","score_opus":0.006745466366778139,"score_gpt":0.29229908639399466,"score_spread":0.2855536200272165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078769947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96448976,0.00022596905,0.031676438,0.00029457337,0.000034799894,0.000008579014,0.000057765574,0.00022380872,0.0029882325],"genre_scores_gemma":[0.99913603,0.000023045875,0.0006366184,0.000010960721,0.0000078642925,0.0000017279544,0.000009896503,0.000008641231,0.00016523282],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9999348,0.0000149040325,0.0000033126437,0.000012285296,0.00001969852,0.000015023649],"domain_scores_gemma":[0.9991504,0.00050623296,0.00012040862,0.0000789491,0.000053653475,0.000090352856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003477691,0.00014210153,0.0002046011,0.0003877514,0.0001493517,0.0005725747,0.00042742424,0.00061113323,0.0013720185],"category_scores_gemma":[0.0039150617,0.00025411716,0.00013180284,0.00014901371,0.0004991362,0.00055161543,0.00038802857,0.0008459275,0.00012901757],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012680993,0.00018973055,0.012848458,0.00028764232,0.000102319354,0.0020671138,0.0009071302,0.13999978,0.58969325,0.21341325,0.0018477625,0.037375476],"study_design_scores_gemma":[0.000110278066,0.00019105637,0.03165628,0.000036259393,0.000034786746,0.00094794447,0.00012934685,0.85970545,0.02026688,0.085739166,0.0011143162,0.000068152425],"about_ca_topic_score_codex":0.00017722187,"about_ca_topic_score_gemma":0.0001466287,"teacher_disagreement_score":0.0013720185,"about_ca_system_score_codex":0.00023617317,"about_ca_system_score_gemma":0.00009761602,"threshold_uncertainty_score":0.0045898557},"labels":[],"label_agreement":null},{"id":"W2078770683","doi":"10.1006/jtbi.2000.2160","title":"Optimal Sex Ratios in Structured Populations","year":2000,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Offspring; Biology; Biological dispersal; Mating; Population; Sex ratio; Fraction (chemistry); Mating system; Dominance (genetics); Population model; Evolutionary biology; Demography; Zoology; Genetics","score_opus":0.015478230012948306,"score_gpt":0.3258480777751234,"score_spread":0.31036984776217513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078770683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.969242,0.00017149863,0.024979237,0.00031046275,0.000016420785,0.000020960242,0.000038218666,0.000042775617,0.0051785265],"genre_scores_gemma":[0.9956457,0.00006592624,0.0036899594,0.000034841883,0.000008771483,0.000017415487,0.000017037726,0.000008912163,0.00051127444],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995764,0.00021302236,0.000019125426,0.00006809279,0.00004746051,0.00007584812],"domain_scores_gemma":[0.9958476,0.002990487,0.00047542172,0.00017621163,0.00019200257,0.0003182241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012102546,0.0003013952,0.001008922,0.00089639844,0.0004179974,0.0014516887,0.0008264206,0.0010274603,0.001999259],"category_scores_gemma":[0.009566892,0.0005570852,0.00036128252,0.0003354395,0.0014499901,0.0015881306,0.00073811406,0.0005618786,0.0002049807],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013166028,0.0004044337,0.022875207,0.00040249678,0.00043504385,0.00093723036,0.001219429,0.24527879,0.039361,0.62110364,0.00377044,0.06289571],"study_design_scores_gemma":[0.0005490602,0.0003022656,0.013427187,0.000033918954,0.0001296789,0.00052698364,0.0005992607,0.3398502,0.0028046714,0.6410004,0.000713714,0.000062700055],"about_ca_topic_score_codex":0.00037071548,"about_ca_topic_score_gemma":0.0006760274,"teacher_disagreement_score":0.001999259,"about_ca_system_score_codex":0.0005820639,"about_ca_system_score_gemma":0.00047061485,"threshold_uncertainty_score":0.0066881776},"labels":[],"label_agreement":null},{"id":"W2078946817","doi":"10.1016/j.jtbi.2009.12.003","title":"A competition model between Pseudomonas fluorescens and pathogens via iron chelation","year":2009,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Vibrio bacteria research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Chelation; Pseudomonas fluorescens; Chemostat; Competition (biology); Pyoverdine; Microorganism; Competition model; Chemistry; Siderophore; Biological system; Biochemical engineering; Microbiology; Biology; Ecology; Bacteria; Biochemistry; Inorganic chemistry; Engineering","score_opus":0.009498640880053647,"score_gpt":0.2809113456351292,"score_spread":0.27141270475507556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078946817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76857185,0.0012690454,0.13873382,0.013947981,0.00042019915,0.000257143,0.0005261712,0.00025842496,0.07601535],"genre_scores_gemma":[0.9719471,0.00029549154,0.0042623803,0.0005632323,0.00008257385,0.00011863676,0.000056962293,0.00002115158,0.022652408],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990846,0.00031881643,0.000023397433,0.00014940459,0.00013470087,0.0002891203],"domain_scores_gemma":[0.9970393,0.0021200129,0.00022983865,0.000090337264,0.00020041876,0.0003200594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012506691,0.0010429607,0.001654332,0.00077612064,0.001137954,0.0015878621,0.0026094737,0.0049391263,0.012146998],"category_scores_gemma":[0.0030428027,0.0005828925,0.0012301023,0.00043156647,0.0015283368,0.0026576763,0.0013957163,0.0013003474,0.0009838018],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011279075,0.0007314381,0.0032704293,0.0008125726,0.00022847003,0.0025682235,0.00047720622,0.373542,0.048517797,0.54652834,0.009312212,0.012883398],"study_design_scores_gemma":[0.0005333462,0.0005913956,0.0013640088,0.000026799247,0.00012855361,0.0005098971,0.00021719036,0.8526976,0.001556781,0.1400402,0.002230897,0.00010332636],"about_ca_topic_score_codex":0.0057617733,"about_ca_topic_score_gemma":0.0039970134,"teacher_disagreement_score":0.012146998,"about_ca_system_score_codex":0.0017912604,"about_ca_system_score_gemma":0.0016274862,"threshold_uncertainty_score":0.040635824},"labels":[],"label_agreement":null},{"id":"W2078980460","doi":"10.1016/j.jtbi.2004.07.026","title":"Network theory and SARS: predicting outbreak diversity","year":2004,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":736,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; BC Centre for Disease Control","funders":"Canadian Institutes of Health Research; Santa Fe Institute; James S. McDonnell Foundation; National Science Foundation","keywords":"Outbreak; Epidemiology; Basic reproduction number; Public health; Population; Infectious disease (medical specialty); Mathematical modelling of infectious disease; Disease; Environmental health; Biology; Medicine; Virology; Pathology","score_opus":0.0991367810573838,"score_gpt":0.37831976735964384,"score_spread":0.27918298630226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078980460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89400244,0.0015420665,0.0959331,0.0046896497,0.000074750846,0.000033741075,0.00044115135,0.00009505865,0.003188095],"genre_scores_gemma":[0.99397767,0.00041974758,0.004796533,0.00005757316,0.00007480366,0.00001929977,0.00014317167,0.000007816904,0.0005035126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936944,0.00042400567,0.000019633833,0.00008986371,0.00004817463,0.000048959828],"domain_scores_gemma":[0.9586321,0.036681313,0.0024131995,0.0009764054,0.0006575458,0.0006394577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036796888,0.0005846936,0.00048139473,0.0031599214,0.00053303497,0.0012365516,0.00084642536,0.0013728386,0.0028403979],"category_scores_gemma":[0.035459395,0.00031654284,0.00047015346,0.0016763142,0.0009596723,0.003569522,0.00088583154,0.0014962644,0.00021304595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057000655,0.00035507933,0.3232797,0.0001743657,0.0004265605,0.00022894815,0.00082573533,0.50491387,0.0009293355,0.09320679,0.0046855053,0.07040405],"study_design_scores_gemma":[0.000029995635,0.00007995488,0.014398317,0.000025761612,0.00004539017,0.00010367574,0.00020100022,0.8860106,0.00017793576,0.09843631,0.00047851863,0.000012559734],"about_ca_topic_score_codex":0.0036658882,"about_ca_topic_score_gemma":0.0034486891,"teacher_disagreement_score":0.0036796888,"about_ca_system_score_codex":0.0010607197,"about_ca_system_score_gemma":0.0004392155,"threshold_uncertainty_score":0.01946032},"labels":[],"label_agreement":null},{"id":"W2080145151","doi":"10.1016/j.jtbi.2007.05.017","title":"Novel scales based on hydrophobicity indices for secondary protein structure","year":2007,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Protein secondary structure; Set (abstract data type); Index (typography); Fuzzy logic; Biological system; Mathematics; Contrast (vision); Range (aeronautics); Computer science; Statistics; Artificial intelligence; Biology; Biochemistry; Materials science","score_opus":0.010365954394066396,"score_gpt":0.27475022329155946,"score_spread":0.26438426889749306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080145151","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22011675,0.0012450353,0.77079606,0.00036834108,0.00034492466,0.00014181487,0.0005586088,0.001704683,0.0047238143],"genre_scores_gemma":[0.7122393,0.0004226344,0.2847747,0.00008200653,0.00030034056,0.00011912324,0.0004788915,0.00028517295,0.001297905],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993617,0.00012719682,0.000048081034,0.00013401532,0.0002796827,0.000049257917],"domain_scores_gemma":[0.99652207,0.0015848653,0.00040692245,0.00037878987,0.00074823154,0.00035909683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013728281,0.0006338523,0.0006189042,0.0019866375,0.0003875402,0.0015641676,0.0008170813,0.0006178896,0.0015521714],"category_scores_gemma":[0.0062629515,0.00024762377,0.00039885877,0.0012529239,0.00067009276,0.0028423665,0.0009413191,0.0011483545,0.0005501607],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011443181,0.0005356725,0.028385418,0.00052788644,0.00028453718,0.0003628681,0.0006180517,0.02922279,0.16178635,0.068608806,0.011503404,0.6970199],"study_design_scores_gemma":[0.00010647519,0.00052716234,0.0431222,0.00006921327,0.0001646926,0.00041145989,0.00032966942,0.85783184,0.028390016,0.06257012,0.0062469677,0.00023023176],"about_ca_topic_score_codex":0.0006587232,"about_ca_topic_score_gemma":0.0010486001,"teacher_disagreement_score":0.0019866375,"about_ca_system_score_codex":0.0005622451,"about_ca_system_score_gemma":0.00031676772,"threshold_uncertainty_score":0.0072603226},"labels":[],"label_agreement":null},{"id":"W2080938786","doi":"10.1016/j.jtbi.2008.05.005","title":"Modelling the ontogeny of ectotherms exhibiting indeterminate growth","year":2008,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Ectotherm; Ontogeny; Gompertz function; Allometry; Indeterminate growth; Range (aeronautics); Growth function; Biology; Ecology; Mathematics; Statistics","score_opus":0.020397189395702908,"score_gpt":0.22809665586575126,"score_spread":0.20769946647004836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080938786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98940605,0.00010535345,0.0069478564,0.00018939674,0.000007803244,0.0000058591377,0.00013562865,0.00003331355,0.003168763],"genre_scores_gemma":[0.99756324,0.000064910186,0.001138011,0.000009991812,0.0000017082224,0.000008794521,0.00006746876,0.000016586775,0.0011293542],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99996555,0.000010052735,0.0000015421854,0.000008997319,0.000002880349,0.0000109618095],"domain_scores_gemma":[0.9996069,0.00023523501,0.00005181531,0.00002012512,0.000023444833,0.00006247664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020951539,0.00030148315,0.000203689,0.00029139008,0.0002692172,0.00067714165,0.00051955984,0.0009459439,0.0039999723],"category_scores_gemma":[0.0016133846,0.00034457026,0.00042949046,0.000285488,0.0006035693,0.00048930035,0.0004949539,0.0006065088,0.00023955069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001102351,0.000028497898,0.011530109,0.000038810696,0.00002495495,0.00028942162,0.0001410761,0.9611386,0.007527012,0.01572808,0.0003250485,0.0031180854],"study_design_scores_gemma":[0.000018647133,0.00002914026,0.008137466,0.000007469848,0.000010186457,0.00005319303,0.00008259585,0.98389775,0.00048482828,0.006901477,0.00036530194,0.0000120567865],"about_ca_topic_score_codex":0.009906619,"about_ca_topic_score_gemma":0.008195115,"teacher_disagreement_score":0.009906619,"about_ca_system_score_codex":0.00077754713,"about_ca_system_score_gemma":0.00047637624,"threshold_uncertainty_score":0.019697905},"labels":[],"label_agreement":null},{"id":"W2081290147","doi":"10.1016/j.jtbi.2008.08.025","title":"One-hit stochastic decline in a mechanochemical model of cytoskeleton-induced neuron death III: Diffusion pulse death zones","year":2008,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Programmed cell death; Cytoskeleton; Population; Neuron; Biology; Neuroscience; Physics; Cell; Demography; Genetics; Apoptosis","score_opus":0.016929198729171636,"score_gpt":0.26510191299772734,"score_spread":0.2481727142685557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081290147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.811313,0.0011548816,0.16139597,0.0039782533,0.00013726001,0.00009024913,0.00043997567,0.00041125139,0.02107917],"genre_scores_gemma":[0.98798764,0.00028226967,0.0018403179,0.00011599679,0.00003463036,0.00003708403,0.000055750694,0.000041815714,0.009604548],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997024,0.00008105778,0.000012628908,0.000043531873,0.000059091995,0.000101252284],"domain_scores_gemma":[0.9980336,0.0009296109,0.00032761757,0.00008256315,0.0002400019,0.00038664092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001277559,0.0008247108,0.0018450076,0.0011483314,0.0009958398,0.002084816,0.0032049592,0.0032294975,0.0034782852],"category_scores_gemma":[0.0036870504,0.00073682796,0.001464246,0.0007082367,0.0024808191,0.0019381791,0.0016184611,0.0016670307,0.00034715247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032077427,0.00011657184,0.0019964813,0.00018072383,0.00010254898,0.0012603934,0.00033944292,0.72018045,0.00942385,0.26186028,0.0014553379,0.0027631924],"study_design_scores_gemma":[0.000053565247,0.000046969948,0.0005937448,0.000010389774,0.000030986732,0.0001711047,0.00006405854,0.96899945,0.0003834011,0.029430486,0.00018211028,0.000033774802],"about_ca_topic_score_codex":0.008082969,"about_ca_topic_score_gemma":0.003516765,"teacher_disagreement_score":0.008082969,"about_ca_system_score_codex":0.0024923494,"about_ca_system_score_gemma":0.0010328463,"threshold_uncertainty_score":0.018083394},"labels":[],"label_agreement":null},{"id":"W2081380629","doi":"10.1006/jtbi.1999.1042","title":"Mapping of Statistical Physics to Information Theory with Application to Biological Systems","year":2000,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Rotation formalisms in three dimensions; Representation (politics); Generalization; Computer science; Theoretical computer science; Statistical physics; Space (punctuation); Transformation (genetics); Artificial intelligence; Algorithm; Mathematics; Physics; Biology","score_opus":0.003310301046947223,"score_gpt":0.23124639223095395,"score_spread":0.22793609118400673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081380629","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029181575,0.001243198,0.9589533,0.0018552316,0.00016712274,0.000046994865,0.00006948095,0.00022778295,0.008255211],"genre_scores_gemma":[0.74498165,0.0036304279,0.24231556,0.00060931646,0.0009825212,0.000328861,0.00015446551,0.00023681967,0.006760421],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99927014,0.00040256372,0.00003808837,0.00007862112,0.00015712494,0.000053378626],"domain_scores_gemma":[0.98997927,0.008602285,0.00027221636,0.00051800377,0.00038649328,0.00024164804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020279826,0.0006524974,0.0011828875,0.0020569419,0.0011719955,0.0023396015,0.0011728493,0.0013860691,0.0036150014],"category_scores_gemma":[0.014985369,0.0005972349,0.0014702134,0.001711313,0.0027639356,0.0036405413,0.0028573233,0.0022033385,0.00043413363],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003375064,0.00011105612,0.0006008408,0.0001238794,0.000038882958,0.00013932215,0.000214386,0.07457412,0.0012537511,0.88353235,0.0012114237,0.038166206],"study_design_scores_gemma":[0.000006142305,0.000020402542,0.00014191064,0.000008756257,0.0000059608815,0.000044057517,0.000024605682,0.25272796,0.0001665999,0.7461013,0.0007428516,0.000009568774],"about_ca_topic_score_codex":0.0014252036,"about_ca_topic_score_gemma":0.00070281344,"teacher_disagreement_score":0.0036150014,"about_ca_system_score_codex":0.0009859947,"about_ca_system_score_gemma":0.0014099617,"threshold_uncertainty_score":0.012093365},"labels":[],"label_agreement":null},{"id":"W2082267624","doi":"10.1016/j.jtbi.2014.09.033","title":"Identical inferences about correlated evolution arise from ancestral state reconstruction and independent contrasts","year":2014,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Phylogenetic tree; Contrast (vision); Estimator; Regression; Biology; Function (biology); Evolutionary biology; Tree (set theory); Maximum likelihood; Mathematics; Statistics; Computer science; Genetics; Combinatorics; Artificial intelligence; Gene","score_opus":0.00688811503406124,"score_gpt":0.22363124234971754,"score_spread":0.21674312731565631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082267624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8017336,0.0004915721,0.17880458,0.0014783555,0.00016728454,0.0000805677,0.0006651287,0.00022401247,0.016354894],"genre_scores_gemma":[0.98282284,0.00018750032,0.015290756,0.00041971455,0.000094436764,0.000033246033,0.00055460946,0.000082208404,0.0005146389],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9946548,0.002622966,0.00031297494,0.001543861,0.00052782317,0.00033754855],"domain_scores_gemma":[0.9252219,0.058787268,0.0029237156,0.009933293,0.0020977103,0.001036048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010289525,0.00057721965,0.0012006812,0.0018208027,0.0012209237,0.004962697,0.0026612745,0.0027862445,0.0058299005],"category_scores_gemma":[0.10267007,0.0012672148,0.0016367744,0.0019059742,0.0059621166,0.006105925,0.003318505,0.003520779,0.00084828277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003063875,0.00031239694,0.1675403,0.0007946544,0.0027928294,0.00420199,0.006004179,0.050842114,0.01622877,0.6298168,0.003463564,0.11493855],"study_design_scores_gemma":[0.00023764021,0.00011036624,0.049164593,0.00011807451,0.00060132117,0.0011775554,0.00078471727,0.07826532,0.0055750604,0.8618489,0.0020115525,0.00010493495],"about_ca_topic_score_codex":0.00051748945,"about_ca_topic_score_gemma":0.0005828003,"teacher_disagreement_score":0.010289525,"about_ca_system_score_codex":0.00081165315,"about_ca_system_score_gemma":0.0005601243,"threshold_uncertainty_score":0.054416835},"labels":[],"label_agreement":null},{"id":"W2083014813","doi":"10.1016/j.jtbi.2005.03.003","title":"A kin-selection approach to the resolution of sex-ratio conflict between mates","year":2005,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Sex ratio; Compromise; Kin selection; Sex allocation; Offspring; Resource allocation; Brood; Investment (military); Inclusive fitness; Parental investment; Parent–offspring conflict; Selection (genetic algorithm); Biology; Competition (biology); Economics; Demography; Ecology; Computer science; Genetics","score_opus":0.04121873658538262,"score_gpt":0.33069453828149237,"score_spread":0.28947580169610976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083014813","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2507602,0.0021187428,0.62975,0.01440074,0.0005993954,0.000103279606,0.00013156871,0.00010797454,0.1020281],"genre_scores_gemma":[0.95342374,0.0005972996,0.034767874,0.00060234434,0.00047023277,0.00005776357,0.000029056597,0.000036076297,0.010015659],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99946254,0.00033433718,0.000014748117,0.00007203595,0.00006309111,0.000053165953],"domain_scores_gemma":[0.99890435,0.00065260276,0.00010937387,0.000084421954,0.000117482334,0.00013167188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016600223,0.00030186796,0.0007365047,0.00082453474,0.0009462697,0.0015761985,0.0020763602,0.0013659117,0.010578791],"category_scores_gemma":[0.004120453,0.00024649687,0.0007082087,0.00054403016,0.002018206,0.001814368,0.0010914505,0.001214984,0.00061521766],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067506335,0.0000802737,0.003702737,0.00006514018,0.00012323695,0.0003803242,0.00045921424,0.046312355,0.0030129722,0.9087342,0.0018545554,0.035207473],"study_design_scores_gemma":[0.00004112829,0.00008178004,0.003590679,0.000014751499,0.000043268345,0.00036658542,0.00031680288,0.1771712,0.00020737592,0.8154307,0.0027010923,0.00003469035],"about_ca_topic_score_codex":0.0010884269,"about_ca_topic_score_gemma":0.002066232,"teacher_disagreement_score":0.010578791,"about_ca_system_score_codex":0.0009411232,"about_ca_system_score_gemma":0.0006718372,"threshold_uncertainty_score":0.035389543},"labels":[],"label_agreement":null},{"id":"W2083221911","doi":"10.1016/j.jtbi.2013.02.002","title":"Inclusive and personal fitness in synergistic evolutionary games on graphs","year":2013,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inclusive fitness; Graph; Population; Mathematics; Extension (predicate logic); Mathematical economics; Computer science; Combinatorics; Biology; Evolutionary biology; Demography; Sociology","score_opus":0.006942552133583769,"score_gpt":0.2852430929314532,"score_spread":0.2783005407978695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083221911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79687953,0.000262643,0.17147988,0.0010153684,0.000038952825,0.00006522549,0.00009642968,0.00004285976,0.030119201],"genre_scores_gemma":[0.98784536,0.00010123915,0.008331154,0.000038347996,0.000017352597,0.000049118193,0.000033888336,0.000012192182,0.0035714845],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988361,0.00063516066,0.000050912506,0.00014537176,0.00018173411,0.00015070771],"domain_scores_gemma":[0.98846686,0.008877179,0.0006666455,0.00054138975,0.00041716412,0.0010308756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002730907,0.0006612804,0.000951551,0.0012666627,0.0012981985,0.0028749423,0.0012893406,0.0014238057,0.005575627],"category_scores_gemma":[0.014510205,0.0004253689,0.00049552554,0.0010005054,0.002244214,0.0040925937,0.002490962,0.0010708546,0.00021001422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000107773645,0.00014012649,0.0035438088,0.00009945557,0.000075344404,0.00036153983,0.0013387415,0.051113542,0.0012099742,0.925581,0.0007875601,0.015641171],"study_design_scores_gemma":[0.00003857551,0.000062409636,0.002405789,0.000026045796,0.00005100575,0.00029044427,0.0005989936,0.12332694,0.0003293917,0.8720046,0.00084376754,0.000021994403],"about_ca_topic_score_codex":0.00079225254,"about_ca_topic_score_gemma":0.0013165264,"teacher_disagreement_score":0.005575627,"about_ca_system_score_codex":0.00096547895,"about_ca_system_score_gemma":0.00059204566,"threshold_uncertainty_score":0.01865232},"labels":[],"label_agreement":null},{"id":"W2084340562","doi":"10.1016/j.jtbi.2003.12.010","title":"A new criterion and method for amino acid classification","year":2004,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":79,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"Wellcome Trust","keywords":"Markov chain; Phylogenetic tree; Sequence (biology); Similarity (geometry); Matrix (chemical analysis); Protein evolution; Mathematics; Computer science; Amino acid; Biological system; Artificial intelligence; Biology; Statistics; Genetics; Chemistry","score_opus":0.015717545996152174,"score_gpt":0.3128516912231076,"score_spread":0.2971341452269554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084340562","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0040993714,0.00018799404,0.9928611,0.0001975813,0.00015416613,0.000073147974,0.00029226308,0.0007452382,0.0013891455],"genre_scores_gemma":[0.034715,0.00012809254,0.9609714,0.00016477093,0.00020545498,0.00020763175,0.0008072892,0.00025798328,0.0025422878],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9959616,0.00059763214,0.0005275346,0.00080480805,0.0019269093,0.00018148853],"domain_scores_gemma":[0.9904813,0.0033534062,0.0003914415,0.0011989401,0.0040781363,0.0004967542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034320073,0.0010150926,0.0018903546,0.006757335,0.0020806666,0.0038210154,0.002673647,0.002491905,0.004298235],"category_scores_gemma":[0.013446992,0.00046077103,0.001337466,0.0043283915,0.0021796934,0.0038206887,0.0030134793,0.002982354,0.0030349842],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034319825,0.0002676644,0.005716936,0.00042663142,0.00014819576,0.00025943344,0.0002832281,0.013687835,0.039110422,0.12053523,0.017928496,0.80129284],"study_design_scores_gemma":[0.00012811771,0.00038471416,0.0045394767,0.00019066996,0.0001730712,0.0012673642,0.0002670527,0.56078905,0.026042376,0.3571153,0.048887607,0.00021518065],"about_ca_topic_score_codex":0.0014992965,"about_ca_topic_score_gemma":0.0015433297,"teacher_disagreement_score":0.006757335,"about_ca_system_score_codex":0.00094454706,"about_ca_system_score_gemma":0.0018592214,"threshold_uncertainty_score":0.01815039},"labels":[],"label_agreement":null},{"id":"W2085424425","doi":"10.1016/j.jtbi.2006.10.010","title":"Scale invariant correlations between genes and SNPs on Human chromosome 1 reveal potential evolutionary mechanisms","year":2006,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Fractal and DNA sequence analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Regional Cancer Foundation; Ottawa Hospital","funders":"","keywords":"Invariant (physics); Poisson distribution; Biology; Statistical physics; Scale invariance; Chromosome; Genetics; Evolutionary biology; Gene; Exponential function; Scale (ratio); Mathematics; Physics; Mathematical analysis; Statistics","score_opus":0.007666383991148967,"score_gpt":0.25080691882110506,"score_spread":0.2431405348299561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085424425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920894,0.00009890416,0.007131352,0.000097961034,0.000007887023,0.0000027648878,0.0000457808,0.000035178567,0.00049077824],"genre_scores_gemma":[0.99842983,0.00003098612,0.0013626141,0.000019325045,0.0000142239505,0.0000027722942,0.0000335387,0.00000685787,0.000099773955],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998745,0.000033312885,0.0000046323084,0.000036602407,0.000026851825,0.000024159397],"domain_scores_gemma":[0.9967339,0.0020789916,0.0005251421,0.00030886513,0.00016769965,0.00018538369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046057408,0.00012844066,0.00035731707,0.0009159357,0.00029455946,0.0005133215,0.0003870514,0.00039502577,0.0009288459],"category_scores_gemma":[0.0041463715,0.0002758332,0.00019506499,0.0007551548,0.0008516334,0.0005909402,0.00034549274,0.0005634785,0.00008475235],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008318596,0.00020429774,0.43411437,0.00027416152,0.000360754,0.0028948241,0.0017391627,0.06115795,0.1809893,0.2454685,0.0024035124,0.06956131],"study_design_scores_gemma":[0.000072272844,0.00014803947,0.56305325,0.00001957683,0.00013955063,0.0014218345,0.0003077432,0.23520325,0.008308572,0.19010334,0.0011338603,0.00008873889],"about_ca_topic_score_codex":0.00050211366,"about_ca_topic_score_gemma":0.0007294682,"teacher_disagreement_score":0.0009288459,"about_ca_system_score_codex":0.00029529814,"about_ca_system_score_gemma":0.00018673306,"threshold_uncertainty_score":0.0031073093},"labels":[],"label_agreement":null},{"id":"W2086150549","doi":"10.1006/jtbi.2000.2225","title":"A New Method for Assembling Metabolic Networks, with Application to the Krebs Citric Acid Cycle","year":2001,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Citric acid cycle; Computer science; Tricarboxylic acid; Transfer (computing); Citric acid; Chemistry; Biological system; Computational biology; Biochemical engineering; Biology; Biochemistry; Metabolism; Engineering","score_opus":0.004518702885479145,"score_gpt":0.2740500672308324,"score_spread":0.2695313643453533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086150549","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020441082,0.00013399939,0.9963881,0.00008267092,0.000083671024,0.000035120935,0.000041040836,0.00049275975,0.0006985481],"genre_scores_gemma":[0.016485289,0.00024050087,0.98143184,0.00004403405,0.000046617308,0.0001719853,0.00010150753,0.00020341497,0.001274743],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995277,0.00009389871,0.00003285196,0.00013815293,0.00018236517,0.00002493289],"domain_scores_gemma":[0.99915636,0.00034597373,0.00006722721,0.00023917087,0.00011449374,0.00007682994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062885263,0.0011882252,0.00097620103,0.0015517059,0.0011188111,0.00095950416,0.0011871646,0.0008228426,0.003598653],"category_scores_gemma":[0.0019613702,0.00090901484,0.0011444151,0.00126983,0.0010556254,0.0019354655,0.0020819027,0.0020889323,0.001443501],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013963885,0.00014075526,0.00079847354,0.0006519216,0.00014301683,0.0005074654,0.0004553617,0.046958417,0.23431727,0.10091703,0.0059427447,0.609028],"study_design_scores_gemma":[0.00017175905,0.00027984637,0.0009528206,0.000102646154,0.00013496264,0.0017414344,0.00014856158,0.6248188,0.08288511,0.20768543,0.08085524,0.00022340052],"about_ca_topic_score_codex":0.0010424793,"about_ca_topic_score_gemma":0.0015815444,"teacher_disagreement_score":0.003598653,"about_ca_system_score_codex":0.00036804873,"about_ca_system_score_gemma":0.0004712811,"threshold_uncertainty_score":0.012038708},"labels":[],"label_agreement":null},{"id":"W2086195718","doi":"10.1016/j.jtbi.2012.07.016","title":"Co-evolution between sociality and dispersal: The role of synergistic cooperative benefits","year":2012,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds National de la Recherche Luxembourg; National Science Foundation","keywords":"Sociality; Biological dispersal; Altruism (biology); Kin selection; Population; Competition (biology); Biology; Social evolution; Inclusive fitness; Group selection; Selection (genetic algorithm); Ecology; Social psychology; Psychology; Evolutionary biology; Demography; Computer science; Sociology","score_opus":0.015886380467671775,"score_gpt":0.3173436417478022,"score_spread":0.30145726128013045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086195718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97921926,0.00062948046,0.011596532,0.0015147945,0.000027015647,0.00001366841,0.000024881572,0.000015979078,0.0069585424],"genre_scores_gemma":[0.99846834,0.00010635826,0.0009724729,0.000055906577,0.000011499199,0.000005331228,0.000005089704,0.000002822688,0.0003721146],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987011,0.0008342704,0.000033077635,0.00019258799,0.000101341866,0.00013765744],"domain_scores_gemma":[0.98842317,0.008272973,0.0012418464,0.0006288065,0.00039703434,0.0010362137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030244759,0.00038909647,0.00073492015,0.00069738453,0.0007894103,0.002293878,0.00084852334,0.0018649464,0.003365309],"category_scores_gemma":[0.012322443,0.00034479945,0.00052376447,0.000485311,0.0020882175,0.002189915,0.0022655474,0.0011210227,0.00019335102],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016497541,0.001061296,0.25571305,0.00070735463,0.0022065393,0.004001008,0.004016365,0.0803586,0.045988448,0.48658565,0.0029820867,0.11472999],"study_design_scores_gemma":[0.00040802758,0.00093954784,0.27262792,0.00011488702,0.0011975504,0.003984758,0.0036057152,0.21938184,0.0021305883,0.4913965,0.00395637,0.00025623408],"about_ca_topic_score_codex":0.0008599177,"about_ca_topic_score_gemma":0.0016234941,"teacher_disagreement_score":0.003365309,"about_ca_system_score_codex":0.00058905885,"about_ca_system_score_gemma":0.0006357372,"threshold_uncertainty_score":0.015995145},"labels":[],"label_agreement":null},{"id":"W2086379308","doi":"10.1006/jtbi.2000.2171","title":"A Mathematical Expectation Model for Bird Navigation based on the Clock-and-Compass Strategy","year":2000,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":71,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Ficedula; Compass; Ringing; Ecology; Geography; Biology; Computer science; Cartography; Artificial intelligence","score_opus":0.016463051990169793,"score_gpt":0.27639130198464007,"score_spread":0.2599282499944703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086379308","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048646607,0.0008334537,0.9386064,0.0027442994,0.00015884823,0.000038066824,0.0003137415,0.00018761716,0.00847098],"genre_scores_gemma":[0.90480906,0.0016659998,0.06698734,0.0006974583,0.00043240347,0.0002196482,0.0004931804,0.00022649094,0.02446838],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896836,0.00045398853,0.000049508286,0.00018440017,0.0001332587,0.00021044543],"domain_scores_gemma":[0.9930246,0.0053181597,0.000541201,0.00022175602,0.0005490415,0.00034524797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032565813,0.0011680056,0.002659554,0.000916994,0.0007528716,0.0025603997,0.0044363653,0.0036447435,0.0063330196],"category_scores_gemma":[0.013833758,0.0010409966,0.0015543803,0.001640886,0.0020784333,0.0051750513,0.0017606625,0.0029509864,0.0011208426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008508982,0.000051099218,0.0011533108,0.00007890594,0.000076231554,0.00017059816,0.00016214058,0.4891492,0.00046087956,0.4995795,0.0024588495,0.006574116],"study_design_scores_gemma":[0.000023438588,0.000020300742,0.00018390064,0.000008336025,0.000016855909,0.00004060638,0.00001716623,0.8914253,0.000034954148,0.107895896,0.0003092223,0.000024127416],"about_ca_topic_score_codex":0.014739219,"about_ca_topic_score_gemma":0.0071381913,"teacher_disagreement_score":0.014739219,"about_ca_system_score_codex":0.0019395375,"about_ca_system_score_gemma":0.0018686276,"threshold_uncertainty_score":0.029306829},"labels":[],"label_agreement":null},{"id":"W2086428055","doi":"10.1016/j.jtbi.2015.03.034","title":"A conservation law for virus infection kinetics in vitro","year":2015,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Japan Science and Technology Agency; SENSHIN Medical Research Foundation; Japan Society for the Promotion of Science; Kyushu University; Inamori Foundation; Core Research for Evolutional Science and Technology; Kanae Foundation for the Promotion of Medical Science; Sumitomo Foundation; Takeda Science Foundation; Ichiro Kanehara Foundation for the Promotion of Medical Sciences and Medical Care; Suzuken Memorial Foundation","keywords":"Conservation law; Biology; Ordinary differential equation; Set (abstract data type); Law; Mathematics; Differential equation; Computer science; Political science; Mathematical analysis","score_opus":0.014253712260958609,"score_gpt":0.294921334565514,"score_spread":0.2806676223045554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086428055","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17545949,0.0016678435,0.7748136,0.005779209,0.00056764757,0.00016988405,0.0006917154,0.00070054625,0.040150005],"genre_scores_gemma":[0.92754257,0.0013842481,0.040020548,0.0014183848,0.0002456141,0.0002949284,0.0003963665,0.00040614355,0.028291205],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993057,0.00016292125,0.000031947704,0.00018515278,0.0001987927,0.00011544443],"domain_scores_gemma":[0.9899657,0.007639169,0.00059398945,0.0010081684,0.00050092395,0.00029205292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021513647,0.00070498214,0.0011677041,0.0008111437,0.00083387294,0.0017510368,0.002555347,0.0019782523,0.008068388],"category_scores_gemma":[0.0146631785,0.0007804099,0.0012949803,0.00037402145,0.0015553545,0.004699704,0.0010069477,0.0034192721,0.0015471685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009750185,0.0001351141,0.0016742734,0.00026588078,0.000044467648,0.00040584803,0.00033431014,0.072577916,0.046320118,0.8556231,0.0039506485,0.018570807],"study_design_scores_gemma":[0.000047426813,0.00008661551,0.0011152256,0.00003701898,0.00004024551,0.00080874434,0.00006377163,0.6990039,0.0137365125,0.28092903,0.004070085,0.00006139892],"about_ca_topic_score_codex":0.0028939205,"about_ca_topic_score_gemma":0.0010464799,"teacher_disagreement_score":0.008068388,"about_ca_system_score_codex":0.0021525207,"about_ca_system_score_gemma":0.0011237351,"threshold_uncertainty_score":0.026991427},"labels":[],"label_agreement":null},{"id":"W2087916389","doi":"10.1016/j.jtbi.2010.02.042","title":"An enzymatic model of the growth hormone-releasing hormone oscillator incorporating neuronal synchronization","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Ion channel regulation and function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Biophysics; Axon; Chemistry; Enzyme; Phosphatase; Hormone; Biology; Biochemistry; Cell biology","score_opus":0.006908956273976671,"score_gpt":0.23549533902940598,"score_spread":0.2285863827554293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087916389","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25592518,0.0012925331,0.6529281,0.0028926928,0.0005419681,0.000067794965,0.00029706463,0.00043415083,0.08562055],"genre_scores_gemma":[0.96567106,0.000537718,0.019496772,0.0001349895,0.000109925226,0.000068137124,0.00007755936,0.00005452904,0.013849222],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998375,0.000047476165,0.000009485567,0.000033108387,0.000042523323,0.000029814873],"domain_scores_gemma":[0.9997745,0.000086193984,0.000028722028,0.000035492383,0.000034968423,0.000040125462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003924544,0.0005273982,0.0007397657,0.00033956618,0.0005290726,0.001276905,0.0017326602,0.0015667537,0.0041626412],"category_scores_gemma":[0.0007759605,0.0002796804,0.000853014,0.00036648,0.0012108675,0.0016710757,0.0008606592,0.00070075755,0.00073547475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006604441,0.00005200821,0.00036793016,0.000058534155,0.000027970995,0.00042530228,0.00010222197,0.14194542,0.008909529,0.8433383,0.0008248399,0.0038818351],"study_design_scores_gemma":[0.0000512881,0.00004147701,0.00015392924,0.000005088972,0.000014087127,0.00011244007,0.00002634137,0.8039434,0.0006843483,0.19381687,0.0011311917,0.000019586489],"about_ca_topic_score_codex":0.0017596479,"about_ca_topic_score_gemma":0.0008709034,"teacher_disagreement_score":0.0041626412,"about_ca_system_score_codex":0.0007328217,"about_ca_system_score_gemma":0.0007780789,"threshold_uncertainty_score":0.013925433},"labels":[],"label_agreement":null},{"id":"W2088150652","doi":"10.1016/j.jtbi.2009.01.028","title":"Samuel Butler and human long term memory: Is the cupboard bare?","year":2009,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"University of Cambridge","keywords":"Information storage; Neuroscience; Cognitive science; Heredity; Computer science; Field (mathematics); Psychology; Biology; Genetics; Information retrieval","score_opus":0.019472157753087468,"score_gpt":0.2926784909186303,"score_spread":0.2732063331655428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088150652","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055937033,0.1439574,0.019860424,0.6848672,0.004727397,0.000017102762,0.00025469495,0.0001224875,0.09025638],"genre_scores_gemma":[0.79847777,0.07827768,0.008897643,0.05256522,0.005669535,0.000037567286,0.00012690318,0.00012892522,0.05581864],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998273,0.000054337317,0.0000062364056,0.00004957071,0.000037733567,0.000024854196],"domain_scores_gemma":[0.9994247,0.00030100415,0.000030572664,0.00004307154,0.00011739902,0.00008328283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079643656,0.0003795559,0.0005369122,0.00055457104,0.0009297109,0.0023442083,0.0006315335,0.003590034,0.0053411555],"category_scores_gemma":[0.0033749826,0.00023441503,0.0002081455,0.0006534966,0.006317573,0.00488246,0.0010605449,0.0022814502,0.0011205652],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035251424,0.000045783676,0.0036255158,0.00021950714,0.00004685251,0.0005617116,0.0036754971,0.0013586144,0.0014192349,0.78607756,0.115356356,0.08726085],"study_design_scores_gemma":[0.00003133925,0.000025461819,0.002092808,0.0001257345,0.00001677802,0.0005305922,0.0013114694,0.0010133674,0.0005726001,0.881705,0.11253447,0.000040479958],"about_ca_topic_score_codex":0.009962751,"about_ca_topic_score_gemma":0.0069985376,"teacher_disagreement_score":0.009962751,"about_ca_system_score_codex":0.0007126416,"about_ca_system_score_gemma":0.0007337396,"threshold_uncertainty_score":0.019809484},"labels":[],"label_agreement":null},{"id":"W2089452101","doi":"10.1016/j.jtbi.2008.10.004","title":"Neighbor intervention: A game-theoretic model","year":2008,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Intervention (counseling); Parameterized complexity; Reciprocity (cultural anthropology); Variation (astronomy); Microeconomics; Computer science; Economics; Mathematical economics; Social psychology; Psychology; Physics","score_opus":0.021320631243938664,"score_gpt":0.32003001439485834,"score_spread":0.29870938315091966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089452101","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23230377,0.0007046464,0.5090219,0.011059594,0.00031872807,0.0005032751,0.00047681716,0.00023841574,0.24537288],"genre_scores_gemma":[0.9479987,0.0003852863,0.015982838,0.00057301566,0.000102451384,0.00025069455,0.000067787754,0.00003189288,0.034607317],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99825686,0.0009671768,0.000038789625,0.00022962345,0.00023376459,0.00027384947],"domain_scores_gemma":[0.99701667,0.0019377324,0.00024536205,0.00021290709,0.00021347596,0.00037396513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018867799,0.00097626576,0.0016429285,0.00094782584,0.0012495534,0.0033150718,0.0036541894,0.005032889,0.013564829],"category_scores_gemma":[0.007210341,0.0006098984,0.0008485133,0.0010199444,0.0028634053,0.003724443,0.001918015,0.0019907772,0.001518206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011366655,0.00019343042,0.0007798339,0.00008143138,0.000043733893,0.00029935554,0.00032998083,0.07933521,0.00073155365,0.90998673,0.0027743378,0.005330687],"study_design_scores_gemma":[0.00018360275,0.00015657043,0.00032981572,0.000022123213,0.000060593993,0.00025740723,0.00030209046,0.45332763,0.00014288964,0.54184186,0.0033429675,0.000032441392],"about_ca_topic_score_codex":0.0027741694,"about_ca_topic_score_gemma":0.0021779165,"teacher_disagreement_score":0.013564829,"about_ca_system_score_codex":0.0015360746,"about_ca_system_score_gemma":0.0014142172,"threshold_uncertainty_score":0.045378864},"labels":[],"label_agreement":null},{"id":"W2089830498","doi":"10.1006/jtbi.2000.2219","title":"Model of the Carbon Concentrating Mechanism in Chloroplasts of Eukaryotic Algae","year":2001,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Photosynthetic Processes and Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography","funders":"","keywords":"Pyrenoid; Chloroplast; Lamella (surface anatomy); Thylakoid; Chloroplast stroma; RuBisCO; Photosynthesis; Biophysics; Algae; Chlorophyta; Biology; Carbonic anhydrase; Cyanobacteria; Botany; Biochemistry; Anatomy; Enzyme; Paleontology","score_opus":0.008938333675913644,"score_gpt":0.2387998207394603,"score_spread":0.22986148706354664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089830498","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33629006,0.003511544,0.5493423,0.007166809,0.000720044,0.0001616486,0.00064338115,0.00097182306,0.10119241],"genre_scores_gemma":[0.95667136,0.000920943,0.026918674,0.00025424524,0.00015956422,0.00017965182,0.00014729692,0.000088434426,0.014659868],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999821,0.000052028605,0.000008243425,0.00003452508,0.0000464119,0.000037923626],"domain_scores_gemma":[0.99981314,0.0000556949,0.00001680727,0.000020899299,0.000047464917,0.00004606046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004677111,0.0005770304,0.00081221183,0.0006315281,0.001234902,0.0013477223,0.0028561484,0.0021195223,0.0035987934],"category_scores_gemma":[0.0005786449,0.0003476302,0.0009110525,0.0004934754,0.0014100343,0.0013438648,0.0008884468,0.0007882869,0.0007017784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007087373,0.000048004338,0.00046006023,0.00010028444,0.00003123642,0.000283696,0.00014798016,0.14800204,0.0114058815,0.8351509,0.0011820835,0.003116892],"study_design_scores_gemma":[0.00009160066,0.000063269144,0.00057147973,0.000014690446,0.000027175383,0.0001908503,0.00006357803,0.6698295,0.0011127015,0.3260118,0.0019817743,0.00004159204],"about_ca_topic_score_codex":0.004401793,"about_ca_topic_score_gemma":0.0013960206,"teacher_disagreement_score":0.004401793,"about_ca_system_score_codex":0.0014379792,"about_ca_system_score_gemma":0.0013237175,"threshold_uncertainty_score":0.012039125},"labels":[],"label_agreement":null},{"id":"W2090586063","doi":"10.1006/jtbi.2002.3009","title":"On the Size Distribution of Live Genera","year":2002,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Distribution (mathematics); Mathematics; Genus; Asymptotic distribution; Macroevolution; Ordinary differential equation; Taxon; Applied mathematics; Statistical physics; Statistics; Biology; Mathematical analysis; Differential equation; Paleontology; Ecology; Physics","score_opus":0.015942995811978455,"score_gpt":0.2760203119155281,"score_spread":0.26007731610354967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090586063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91384715,0.0014549069,0.06288553,0.0033595157,0.00005647999,0.000034015582,0.00038791797,0.00009456814,0.01787994],"genre_scores_gemma":[0.99403596,0.0006897509,0.0029962955,0.00012716155,0.000109995104,0.00003595119,0.00017231096,0.000050609786,0.0017820313],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990081,0.0005002195,0.00003603518,0.00017982263,0.00013208503,0.00014370645],"domain_scores_gemma":[0.9270575,0.06607958,0.0020778687,0.0016647453,0.0017787858,0.0013413861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004162246,0.00040037744,0.0010692725,0.00330803,0.0009500088,0.0024956034,0.002779788,0.0017526068,0.010702913],"category_scores_gemma":[0.05004447,0.00061478326,0.0006047261,0.0017224835,0.004496023,0.006094863,0.0021295839,0.0019190859,0.0005511832],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045462212,0.00011168813,0.04364381,0.00020516005,0.00015230823,0.00038720327,0.002232719,0.07970182,0.004145135,0.8148619,0.006145341,0.047958322],"study_design_scores_gemma":[0.000099597186,0.00010961574,0.038551845,0.00010761847,0.00006649215,0.00085527974,0.0015605717,0.2753779,0.00066827366,0.6801902,0.0023280631,0.00008454226],"about_ca_topic_score_codex":0.0018824395,"about_ca_topic_score_gemma":0.0017857314,"teacher_disagreement_score":0.010702913,"about_ca_system_score_codex":0.0012147728,"about_ca_system_score_gemma":0.0003036802,"threshold_uncertainty_score":0.03580481},"labels":[],"label_agreement":null},{"id":"W2091513165","doi":"10.1016/j.jtbi.2013.11.019","title":"Partner choice promotes cooperation: The two faces of testing with agent-based models","year":2013,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Obligate; Reciprocity (cultural anthropology); Mechanism (biology); Microeconomics; Set (abstract data type); Selection (genetic algorithm); Negotiation; Computer science; Social psychology; Economics; Psychology; Biology; Ecology; Artificial intelligence; Sociology","score_opus":0.03735653062064317,"score_gpt":0.31723977675527526,"score_spread":0.2798832461346321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091513165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84029454,0.0006969272,0.083869144,0.031042084,0.00013594989,0.00010963582,0.00014741831,0.0000857686,0.043618634],"genre_scores_gemma":[0.9938007,0.000120861165,0.0051377853,0.00032324204,0.000046746703,0.000048965092,0.000019975718,0.000012353047,0.00048934604],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.979167,0.017204747,0.00040938263,0.0011194915,0.0015056418,0.0005938063],"domain_scores_gemma":[0.68491805,0.28449488,0.00812683,0.015884949,0.0032945706,0.003280717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.036595475,0.0009004488,0.0022897108,0.0012253958,0.0014705908,0.005180846,0.0034771664,0.005977748,0.010357975],"category_scores_gemma":[0.1886685,0.0006178171,0.00093754905,0.0012505376,0.009679276,0.015566372,0.005938161,0.0044701537,0.0004467406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020899838,0.0015987634,0.0409543,0.00046723697,0.00042995822,0.00088902947,0.0038188486,0.05961116,0.001936925,0.8151969,0.0039067306,0.06910025],"study_design_scores_gemma":[0.00019584536,0.00013245117,0.0030095493,0.000043086064,0.000045122946,0.00012065983,0.0008000968,0.10904111,0.00037937023,0.8855489,0.0006482796,0.000035532634],"about_ca_topic_score_codex":0.0014332216,"about_ca_topic_score_gemma":0.0010206569,"teacher_disagreement_score":0.036595475,"about_ca_system_score_codex":0.0010650419,"about_ca_system_score_gemma":0.0013374903,"threshold_uncertainty_score":0.19353771},"labels":[],"label_agreement":null},{"id":"W2091593582","doi":"10.1016/j.jtbi.2012.11.014","title":"Developing a temperature-driven map of the basic reproductive number of the emerging tick vector of Lyme disease Ixodes scapularis in Canada","year":2012,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":89,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Public Health Agency of Canada; York University","funders":"","keywords":"Ixodes scapularis; Tick; Lyme disease; Biology; Vector (molecular biology); Population; Ixodes; Ecology; Demography; Ixodidae; Virology","score_opus":0.006911557900382475,"score_gpt":0.24371804430164687,"score_spread":0.2368064864012644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091593582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872946,0.00015726461,0.0063218605,0.0000959135,0.0000073102233,0.000035192792,0.0029075623,0.00014221798,0.0030380387],"genre_scores_gemma":[0.9908029,0.00011355579,0.0065076663,0.0000145254535,0.0000034973275,0.000014629065,0.0015846699,0.000032943313,0.00092551834],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993193,0.00000485112,0.0000011820767,0.000018967743,0.000018700586,0.000024302744],"domain_scores_gemma":[0.9997527,0.000038179256,0.000025761785,0.000008921283,0.00013799939,0.000036478497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014373042,0.00018372605,0.00016832726,0.0007772923,0.00065616233,0.00062727206,0.0005176515,0.00016464591,0.0010358454],"category_scores_gemma":[0.0007127584,0.00015970104,0.00021484695,0.00096519024,0.00023345952,0.00015231322,0.0002234481,0.0002513684,0.00019401734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086359226,0.00013790856,0.37539154,0.00020206452,0.0001349993,0.00034000957,0.0012067027,0.19473499,0.32036555,0.0030539872,0.003524362,0.100044385],"study_design_scores_gemma":[0.000027749806,0.00007374649,0.8277037,0.000024736351,0.00004510802,0.00009217485,0.00073953375,0.15255995,0.013159165,0.00081791665,0.0046979524,0.00005822278],"about_ca_topic_score_codex":0.90217984,"about_ca_topic_score_gemma":0.9328276,"teacher_disagreement_score":0.09782016,"about_ca_system_score_codex":0.0048105856,"about_ca_system_score_gemma":0.0052826945,"threshold_uncertainty_score":0.19679242},"labels":[],"label_agreement":null},{"id":"W2092629538","doi":"10.1016/j.jtbi.2013.10.003","title":"Allocation of new growth between shoot, root and mycorrhiza in relation to carbon, nitrogen and phosphate supply: Teleonomy with maximum growth rate","year":2013,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"AgResearch","keywords":"Shoot; Mycorrhiza; Phosphorus; Nitrogen; Ecosystem; Biology; Phosphate; Agronomy; Botany; Ecology; Symbiosis; Chemistry; Biochemistry","score_opus":0.0034888253940547087,"score_gpt":0.18723888715497336,"score_spread":0.18375006176091865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092629538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895836,0.00011335215,0.0072109373,0.000054161435,0.0000070795586,0.0000074869517,0.00010461058,0.000057324985,0.0028615438],"genre_scores_gemma":[0.99581593,0.00004778204,0.0024974807,0.000015817157,0.000010277922,0.000024365005,0.00010028625,0.000049844544,0.0014381215],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998462,0.000034305,0.000013896646,0.00006286987,0.000021022328,0.000021670254],"domain_scores_gemma":[0.9990735,0.0004576266,0.0001487884,0.00013883649,0.000074372525,0.00010699027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035151283,0.00022164176,0.00032670228,0.00044602167,0.00039634336,0.00054859323,0.0003755064,0.00035208632,0.0014488389],"category_scores_gemma":[0.0005627429,0.00039676996,0.00024226056,0.00029814572,0.00048879365,0.00056137756,0.00059954816,0.0004131672,0.00025149446],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042264728,0.000019328623,0.008808793,0.000032081574,0.00001400271,0.00009645694,0.00014108235,0.0013164934,0.97832334,0.0021002644,0.00006202656,0.008663533],"study_design_scores_gemma":[0.000152393,0.00092916103,0.42698154,0.000029228162,0.00009122105,0.0017552334,0.0005731882,0.030683532,0.5289868,0.0074797375,0.002252173,0.00008563854],"about_ca_topic_score_codex":0.00031610613,"about_ca_topic_score_gemma":0.00068478583,"teacher_disagreement_score":0.0014488389,"about_ca_system_score_codex":0.00043765176,"about_ca_system_score_gemma":0.0001787791,"threshold_uncertainty_score":0.004846871},"labels":[],"label_agreement":null},{"id":"W2092771947","doi":"10.1006/jtbi.2000.2196","title":"Oscillations in Plankton Models with Nutrient Recycling","year":2001,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":92,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Nutrient; Plankton; Zooplankton; Phytoplankton; Limiting; Autotroph; Hopf bifurcation; Environmental science; Bifurcation; Ecology; Biology; Physics; Nonlinear system","score_opus":0.030920493833880517,"score_gpt":0.3098947126322066,"score_spread":0.27897421879832607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092771947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54808795,0.0026417824,0.42291272,0.009731712,0.00046985017,0.000089806155,0.00039805833,0.00045901316,0.015209208],"genre_scores_gemma":[0.9799492,0.0010096603,0.007157157,0.0003403172,0.00022446662,0.000093369265,0.0001323579,0.000094289855,0.010999192],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934083,0.0003485132,0.000036847225,0.000100749945,0.00006302234,0.00011011098],"domain_scores_gemma":[0.98896337,0.008485168,0.0012510403,0.00030329791,0.00047525085,0.0005218572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033137563,0.0010744178,0.0015235593,0.0011535931,0.0007641423,0.0022410003,0.0020405166,0.0031052611,0.0030250552],"category_scores_gemma":[0.02447929,0.00089919014,0.0012636387,0.0008338073,0.002366832,0.003942314,0.002141121,0.0020020572,0.00033720155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002316943,0.00011837078,0.0067131007,0.0002504034,0.00017752417,0.0008307455,0.0006838435,0.5490812,0.0020627875,0.42518342,0.0050773425,0.009589566],"study_design_scores_gemma":[0.000057656594,0.00002974299,0.0006562845,0.000021577183,0.000040817915,0.00009669605,0.00010388773,0.88138795,0.00008439128,0.117064066,0.00043155192,0.00002539612],"about_ca_topic_score_codex":0.0054510552,"about_ca_topic_score_gemma":0.002501692,"teacher_disagreement_score":0.0054510552,"about_ca_system_score_codex":0.001161088,"about_ca_system_score_gemma":0.0008128502,"threshold_uncertainty_score":0.017525017},"labels":[],"label_agreement":null},{"id":"W2092814886","doi":"10.1016/j.jtbi.2007.06.012","title":"A computational model of oxygen delivery by hemoglobin-based oxygen carriers in three-dimensional microvascular networks","year":2007,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Hemoglobin structure and function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health; American Heart Association","keywords":"Oxygen–haemoglobin dissociation curve; Hemoglobin; Cheek pouch; Oxygen transport; Oxygen; Hamster; Biophysics; Myoglobin; Oxygenation; Chemistry; Biomedical engineering; Anatomy; Biology; Biochemistry","score_opus":0.0047088637561654816,"score_gpt":0.22399090706813282,"score_spread":0.21928204331196735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092814886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6557424,0.00096602936,0.3010923,0.0042125233,0.00025121905,0.000119364035,0.0009851846,0.00040636832,0.036224607],"genre_scores_gemma":[0.9780651,0.00030571775,0.015296898,0.00022738782,0.000045165067,0.00014306199,0.0001570845,0.00005440455,0.005705217],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987113,0.00004398289,0.000005308125,0.00002611109,0.00002394583,0.00002949044],"domain_scores_gemma":[0.9991959,0.0005376377,0.000055275577,0.00002978827,0.000080878985,0.00010059017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035270027,0.00038810974,0.0009291862,0.00056726567,0.0009574809,0.0014689476,0.001824164,0.002944919,0.0039055266],"category_scores_gemma":[0.0020786133,0.0007066648,0.0007375017,0.00069436897,0.0013529886,0.001310202,0.00087822817,0.000809617,0.00027256698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015251572,0.000017182261,0.00015878867,0.000008064876,0.00000663548,0.000034217475,0.000011846599,0.99365824,0.00015249646,0.005370563,0.0001255614,0.00044110723],"study_design_scores_gemma":[0.00000969113,0.000004438366,0.00003492717,0.0000011993267,0.0000027149592,0.000004307588,0.0000042737315,0.99855405,0.000033144406,0.0012888567,0.000059861683,0.000002449589],"about_ca_topic_score_codex":0.022399206,"about_ca_topic_score_gemma":0.009040869,"teacher_disagreement_score":0.022399206,"about_ca_system_score_codex":0.0016458625,"about_ca_system_score_gemma":0.001580824,"threshold_uncertainty_score":0.044537663},"labels":[],"label_agreement":null},{"id":"W2093380821","doi":"10.1006/jtbi.2002.2534","title":"Recurrent Inhibitory Dynamics: The Role of State-Dependent Distributions of Conduction Delay Times","year":2002,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Bistability; Bursting; Limit cycle; Chaotic; Statistical physics; Constant (computer programming); Control theory (sociology); Mathematics; Time constant; Limit (mathematics); SIGNAL (programming language); Physics; Computer science; Mathematical analysis; Neuroscience","score_opus":0.012908855545290622,"score_gpt":0.2453750471471179,"score_spread":0.23246619160182727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093380821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6526891,0.0006039493,0.3360256,0.00083209784,0.00009136123,0.000018297844,0.000098689554,0.00023924194,0.009401693],"genre_scores_gemma":[0.9957944,0.00020070889,0.002865323,0.000018181116,0.000027600146,0.0000075168605,0.000019232244,0.00004005432,0.001026831],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998462,0.00004718013,0.0000068829677,0.000040185823,0.000026583788,0.000032937074],"domain_scores_gemma":[0.9975434,0.0014042743,0.00036749325,0.0002584382,0.00023044222,0.0001959808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010661477,0.00037707743,0.00038466795,0.00034567394,0.0003482774,0.0014070268,0.00086933427,0.0006173127,0.001661057],"category_scores_gemma":[0.0073276777,0.00035210815,0.00028011962,0.0002352706,0.0009773825,0.0019646578,0.00055285473,0.000727982,0.0001844888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027698238,0.0001306731,0.0052906913,0.00008570839,0.000086693966,0.00040706937,0.00036265698,0.35692048,0.032483593,0.57626414,0.0015451553,0.026146144],"study_design_scores_gemma":[0.000014361173,0.000021685426,0.0015145078,0.000007777504,0.000019639581,0.000097624776,0.000027518849,0.929824,0.0010622041,0.067119814,0.00026979652,0.000021101445],"about_ca_topic_score_codex":0.0008717111,"about_ca_topic_score_gemma":0.00093318307,"teacher_disagreement_score":0.001661057,"about_ca_system_score_codex":0.00045612894,"about_ca_system_score_gemma":0.00039408074,"threshold_uncertainty_score":0.0056384206},"labels":[],"label_agreement":null},{"id":"W2093467274","doi":"10.1016/j.jtbi.2011.10.035","title":"Campus quarantine (Fengxiao) for curbing emergent infectious diseases: Lessons from mitigating A/H1N1 in Xi'an, China","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Fundamental Research Funds for the Central Universities; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Mitacs; National Natural Science Foundation of China","keywords":"China; Mainland China; Quarantine; Psychological intervention; Outbreak; Social distance; Population; Basic reproduction number; Pandemic; Disease; Economic growth; Geography; Business; Infectious disease (medical specialty); Socioeconomics; Environmental health; Medicine; Coronavirus disease 2019 (COVID-19); Economics; Virology","score_opus":0.13161037420705177,"score_gpt":0.42321452284513655,"score_spread":0.2916041486380848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093467274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9468706,0.0015796534,0.003830107,0.030060897,0.00030521338,0.00022576888,0.00022455136,0.00006670883,0.016836511],"genre_scores_gemma":[0.99240655,0.000670682,0.0022028934,0.00085159764,0.000039426362,0.000050390838,0.00008088067,0.0000029051319,0.0036947222],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997002,0.00011125424,0.000006415208,0.000028548155,0.000029955869,0.00012363592],"domain_scores_gemma":[0.99948823,0.00008367122,0.000064978776,0.000026736096,0.00007342907,0.0002629576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090713904,0.00033424227,0.00015995507,0.00025499403,0.0017970409,0.00058601587,0.00072069035,0.0007094364,0.0032158436],"category_scores_gemma":[0.00076764857,0.000104199324,0.00026052428,0.00032557826,0.0006876925,0.00068337633,0.0007876607,0.00070205535,0.00008989818],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091770233,0.0023484789,0.48397192,0.001426554,0.00052004535,0.0028436373,0.005891867,0.021814853,0.025267527,0.085964784,0.038632777,0.33039987],"study_design_scores_gemma":[0.0006576402,0.0031418363,0.8018525,0.0004740343,0.00036527624,0.00042724065,0.020469628,0.045643426,0.009248062,0.040698353,0.07690464,0.00011729636],"about_ca_topic_score_codex":0.09114018,"about_ca_topic_score_gemma":0.13827477,"teacher_disagreement_score":0.09114018,"about_ca_system_score_codex":0.0031050001,"about_ca_system_score_gemma":0.012067773,"threshold_uncertainty_score":0.1812194},"labels":[],"label_agreement":null},{"id":"W2093986220","doi":"10.1006/jtbi.2002.2540","title":"Exploring the Formation of Alzheimer's Disease Senile Plaques in Silico","year":2002,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"In silico; Senile plaques; Disease; Neuroscience; Inflammation; Amyloid (mycology); Computational biology; Biology; Model system; Alzheimer's disease; Computer science; Pathology; Immunology; Medicine; Genetics","score_opus":0.08328678966471167,"score_gpt":0.3275572208176746,"score_spread":0.2442704311529629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093986220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9713571,0.00014054154,0.019803828,0.00022961438,0.000017055152,0.00002122032,0.00010229423,0.000068505455,0.008259774],"genre_scores_gemma":[0.9944781,0.00011885112,0.004234537,0.00002557033,0.000006105822,0.000010494623,0.0000646379,0.000012783636,0.001048809],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986994,0.000055257507,0.0000060302445,0.000022906712,0.000021950318,0.000023841052],"domain_scores_gemma":[0.9985568,0.0011087827,0.00011078278,0.000072808485,0.00010458657,0.00004611732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053023023,0.0002987068,0.00038646293,0.0004920637,0.0003537047,0.000935053,0.00047923485,0.00080936635,0.002422385],"category_scores_gemma":[0.0025351571,0.00038353523,0.00047571826,0.00031872618,0.00055034034,0.0009152797,0.00046694552,0.0003380774,0.00015569541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031139673,0.00023528068,0.023461727,0.00024215643,0.00012307556,0.0005356242,0.00049827417,0.87162113,0.015347444,0.08131548,0.0005242499,0.0057842126],"study_design_scores_gemma":[0.000033668774,0.00010368021,0.0032376302,0.000010063863,0.00004602291,0.00012131529,0.00014495992,0.97084934,0.004318347,0.020671401,0.00044784963,0.00001576193],"about_ca_topic_score_codex":0.002092235,"about_ca_topic_score_gemma":0.0013195631,"teacher_disagreement_score":0.002422385,"about_ca_system_score_codex":0.00024677152,"about_ca_system_score_gemma":0.0003677529,"threshold_uncertainty_score":0.008103728},"labels":[],"label_agreement":null},{"id":"W2094184598","doi":"10.1016/s0022-5193(03)00090-0","title":"Oscillations in cyclical neutropenia: new evidence based on mathematical modeling","year":2003,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Blood disorders and treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":162,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université de Montréal","funders":"Mitacs","keywords":"Haematopoiesis; Neutropenia; Hopf bifurcation; Saddle; Biological system; Limit (mathematics); Biology; Statistical physics; Mathematics; Physics; Bifurcation; Stem cell; Cell biology; Mathematical analysis; Mathematical optimization; Genetics; Chemotherapy","score_opus":0.02273356389517015,"score_gpt":0.2972440024290886,"score_spread":0.27451043853391843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094184598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5336244,0.004051837,0.4403363,0.005520181,0.00023877359,0.00005043098,0.0002743768,0.0003700466,0.015533605],"genre_scores_gemma":[0.9914869,0.0010855742,0.0065332525,0.00014516524,0.000083948566,0.000030868345,0.000059340604,0.000031901105,0.0005430264],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972564,0.00012292541,0.000018562714,0.000050485116,0.000044274635,0.000037987225],"domain_scores_gemma":[0.99523664,0.00349189,0.00074582966,0.00029397832,0.00011637934,0.000115356335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010385395,0.00036447277,0.0005438407,0.0004768126,0.00023720044,0.0010477883,0.0010244044,0.0011005638,0.0024852892],"category_scores_gemma":[0.010133157,0.00031402364,0.00060456764,0.00037225406,0.0010008004,0.0014076626,0.0006749124,0.00076662586,0.0001837611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045324935,0.00019606642,0.022732923,0.0003771373,0.00027870422,0.0008135704,0.00046591918,0.4536635,0.0070128003,0.46316126,0.003300453,0.04754441],"study_design_scores_gemma":[0.000059450133,0.000047454447,0.0042923456,0.000029244591,0.000059164387,0.0002962545,0.000061145765,0.7524331,0.00029875178,0.2413012,0.0010987294,0.000023142893],"about_ca_topic_score_codex":0.001529246,"about_ca_topic_score_gemma":0.00062976487,"teacher_disagreement_score":0.0024852892,"about_ca_system_score_codex":0.00049923634,"about_ca_system_score_gemma":0.00046142683,"threshold_uncertainty_score":0.008314073},"labels":[],"label_agreement":null},{"id":"W2094349884","doi":"10.1016/j.jtbi.2007.05.031","title":"One-hit stochastic decline in a mechanochemical model of cytoskeleton-induced neuron death I: Cell-fate arrival times","year":2007,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cytoskeleton; Neurodegeneration; Programmed cell death; Cell biology; Neuroscience; Neuron; Biology; Cell; Biophysics; Apoptosis; Biochemistry; Medicine; Internal medicine; Disease","score_opus":0.015546814609710835,"score_gpt":0.28004236906648805,"score_spread":0.2644955544567772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094349884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71806,0.001109994,0.2505641,0.0054069688,0.0002624756,0.00015072849,0.00081995665,0.00080467644,0.02282113],"genre_scores_gemma":[0.9782949,0.00050209276,0.0036290786,0.00028144714,0.00008292945,0.000085838175,0.00015374026,0.000113441965,0.016856547],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935776,0.00017371224,0.000027897153,0.00010860045,0.000116104085,0.00021586742],"domain_scores_gemma":[0.9957487,0.00220291,0.00070550415,0.00018350247,0.00048645373,0.0006730116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027413329,0.0012159953,0.002601794,0.0017409665,0.0011661424,0.0026896808,0.004164492,0.004296425,0.005327794],"category_scores_gemma":[0.007600656,0.0011632451,0.0017912937,0.0011600953,0.0026517692,0.0030304745,0.0019308544,0.002516918,0.0007399699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002937637,0.00013959366,0.0024599642,0.00020725736,0.00010362122,0.0011500651,0.00034163723,0.68234086,0.008628367,0.29844904,0.0023704988,0.0035152645],"study_design_scores_gemma":[0.000047348738,0.000039753664,0.0006083459,0.000011536167,0.00003545435,0.00017032198,0.00006195679,0.96336704,0.00032799703,0.03509751,0.00018986949,0.000042841704],"about_ca_topic_score_codex":0.008868031,"about_ca_topic_score_gemma":0.004718434,"teacher_disagreement_score":0.008868031,"about_ca_system_score_codex":0.0030688825,"about_ca_system_score_gemma":0.0015111681,"threshold_uncertainty_score":0.022266388},"labels":[],"label_agreement":null},{"id":"W2094740420","doi":"10.1016/j.jtbi.2011.10.039","title":"Estimating the transmission potential of supercritical processes based on the final size distribution of minor outbreaks","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Yersinia bacterium, plague, ectoparasites research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Agency of Canada","funders":"Precursory Research for Embryonic Science and Technology; National Institute of General Medical Sciences; National Institutes of Health; University of Hong Kong","keywords":"Statistics; Outbreak; Negative binomial distribution; Branching process; Epidemic model; Basic reproduction number; Mathematics; Extinction probability; Reproduction; Biology; Demography; Poisson distribution; Ecology; Population","score_opus":0.018405509307383952,"score_gpt":0.28340426573461536,"score_spread":0.2649987564272314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094740420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8969387,0.0001468912,0.10124068,0.00013607049,0.000009049215,0.00002480359,0.00004573326,0.00009477417,0.0013632404],"genre_scores_gemma":[0.9967443,0.000040671614,0.0029854325,0.0000048910283,0.000007919761,0.0000102344275,0.000032188043,0.000009411292,0.00016494437],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998504,0.00005295741,0.000007132225,0.000030313618,0.000028273647,0.00003096449],"domain_scores_gemma":[0.9874445,0.010990696,0.0006065469,0.00031003842,0.00038574456,0.00026235692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00148807,0.000344288,0.00040376707,0.0017055789,0.0004933416,0.0008361282,0.00074517494,0.00076483807,0.00074926077],"category_scores_gemma":[0.01245252,0.00040609317,0.0005126154,0.0004164758,0.00067580387,0.0014596442,0.00070593716,0.0007099163,0.000087515684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038011133,0.00010878545,0.03483792,0.00012513643,0.00012064809,0.00026433112,0.0002887002,0.88646644,0.025943657,0.03306574,0.0004108978,0.017987715],"study_design_scores_gemma":[0.000005730626,0.000014403275,0.0026576652,0.0000037422137,0.000007010457,0.000024746423,0.000019786816,0.99266773,0.0012888475,0.0032634912,0.00003750433,0.000009351418],"about_ca_topic_score_codex":0.0018838089,"about_ca_topic_score_gemma":0.0011823373,"teacher_disagreement_score":0.0018838089,"about_ca_system_score_codex":0.0006708346,"about_ca_system_score_gemma":0.0003405777,"threshold_uncertainty_score":0.00786978},"labels":[],"label_agreement":null},{"id":"W2095534055","doi":"10.1016/j.jtbi.2010.03.017","title":"Evolution and instability in ring species complexes: An in silico approach to the study of speciation","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Sympatric speciation; Genetic algorithm; Ring (chemistry); Biological dispersal; Evolutionary biology; Population; Reproductive isolation; Evolutionary dynamics; Ecology; Chemistry","score_opus":0.01526470160434215,"score_gpt":0.2606710553964115,"score_spread":0.24540635379206935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095534055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9064249,0.00018286532,0.09017993,0.0004020124,0.00002258754,0.000040545783,0.00018041818,0.00018468469,0.0023820356],"genre_scores_gemma":[0.96717435,0.00014574522,0.03208835,0.00006534019,0.000014094885,0.0000487171,0.00012250457,0.000042606036,0.00029830978],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969447,0.00021423945,0.000012728803,0.00003655933,0.000025250763,0.000016793705],"domain_scores_gemma":[0.9954224,0.0040893913,0.00016337952,0.00012961758,0.00008747753,0.00010768583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013474835,0.0004174604,0.00092362455,0.00072674477,0.0006631056,0.0010735941,0.0013759369,0.0010797627,0.0017570013],"category_scores_gemma":[0.004936943,0.0005337277,0.00089268194,0.00048586508,0.00068516907,0.00091360207,0.00063778815,0.0010125485,0.0001693363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010288919,0.0001247266,0.007252565,0.00011336694,0.00017829768,0.00015526873,0.00018451372,0.9689553,0.005472227,0.013602757,0.00016604089,0.0036920344],"study_design_scores_gemma":[0.000016262098,0.00003122607,0.00034397017,0.0000024685075,0.00002979175,0.00002709028,0.000017969664,0.99567115,0.0005115501,0.0032552576,0.000088327644,0.0000050363224],"about_ca_topic_score_codex":0.0021004865,"about_ca_topic_score_gemma":0.0025881873,"teacher_disagreement_score":0.0021004865,"about_ca_system_score_codex":0.0007286765,"about_ca_system_score_gemma":0.0005606576,"threshold_uncertainty_score":0.0071262717},"labels":[],"label_agreement":null},{"id":"W2096102415","doi":"10.1016/j.jtbi.2005.01.004","title":"Background selection and population differentiation","year":2005,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Locus (genetics); Linkage disequilibrium; Biology; Population; Genetics; Neutral theory of molecular evolution; Evolutionary biology; Gene; Allele; Haplotype","score_opus":0.004979032962849551,"score_gpt":0.26325180546465726,"score_spread":0.2582727725018077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096102415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7071783,0.0060028248,0.16932987,0.009328078,0.0008924343,0.00017261207,0.0024007875,0.0005491735,0.104146],"genre_scores_gemma":[0.97152764,0.0010461303,0.009743185,0.0010251834,0.00032686788,0.00005749,0.00051105296,0.00008471857,0.015677603],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994997,0.00013747379,0.00002264562,0.00017600277,0.000072834926,0.00009135154],"domain_scores_gemma":[0.99853706,0.00082766934,0.00012265498,0.00014910342,0.0001346639,0.00022897273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011027214,0.0004169436,0.00046166786,0.00053550483,0.00037541354,0.0009358141,0.0007473746,0.00089998904,0.0124784885],"category_scores_gemma":[0.0034623374,0.00016349088,0.00028750024,0.00074061466,0.0007571089,0.0006599265,0.0007476559,0.000898854,0.0010702111],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004316787,0.00015289201,0.021044007,0.0005382364,0.000120122306,0.00072231377,0.00035577323,0.012569828,0.02233376,0.84076077,0.00641159,0.094559066],"study_design_scores_gemma":[0.0003393727,0.00035329617,0.03102606,0.00023386485,0.00022739275,0.0023203827,0.0002754411,0.04555206,0.012425468,0.8138439,0.09331648,0.00008621082],"about_ca_topic_score_codex":0.00045356993,"about_ca_topic_score_gemma":0.00044925124,"teacher_disagreement_score":0.0124784885,"about_ca_system_score_codex":0.0005279824,"about_ca_system_score_gemma":0.00041635436,"threshold_uncertainty_score":0.04174477},"labels":[],"label_agreement":null},{"id":"W2096579989","doi":"10.1006/jtbi.2002.3067","title":"Replicator Dynamics for Optional Public Good Games","year":2002,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":378,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Public good; Replicator equation; Public goods game; Earnings; Stochastic game; Microeconomics; Mathematical economics; Economics; Strong reciprocity; Population; Dilemma; Game theory; Repeated game; Sequential game; Mathematics","score_opus":0.02657854152246955,"score_gpt":0.31213623325101625,"score_spread":0.2855576917285467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096579989","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3922758,0.0009651396,0.5346816,0.0042001884,0.0002673947,0.0002328742,0.00041683193,0.00028075353,0.06667936],"genre_scores_gemma":[0.9591781,0.0006127161,0.021056497,0.0001902341,0.00014099648,0.00028917493,0.00013345969,0.00007931528,0.018319545],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99854445,0.0007432056,0.000075779564,0.00016067798,0.0002327107,0.0002431727],"domain_scores_gemma":[0.97983366,0.015735393,0.0012084263,0.001266389,0.000803147,0.0011529233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038773848,0.0010299771,0.0023037372,0.0012675052,0.0014701246,0.0031817004,0.0029412685,0.0031745036,0.011074181],"category_scores_gemma":[0.02731287,0.0007511811,0.0014247416,0.00094588986,0.003132777,0.0055703185,0.0026954352,0.0036178727,0.0007035241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060873754,0.00004220266,0.0003364967,0.000052402585,0.00002391549,0.00015934456,0.00025731884,0.036916453,0.00064303895,0.9579061,0.0012628421,0.0023390348],"study_design_scores_gemma":[0.000071360395,0.000019825971,0.00015539792,0.000014660164,0.000012014915,0.000064351545,0.000054638727,0.2724914,0.000117128686,0.72615224,0.00082941866,0.000017631803],"about_ca_topic_score_codex":0.0022130315,"about_ca_topic_score_gemma":0.0018624025,"teacher_disagreement_score":0.011074181,"about_ca_system_score_codex":0.0020500596,"about_ca_system_score_gemma":0.0015890978,"threshold_uncertainty_score":0.03704685},"labels":[],"label_agreement":null},{"id":"W2096885361","doi":"10.1016/j.jtbi.2005.03.034","title":"A mathematical model of hematopoiesis: II. Cyclical neutropenia","year":2005,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Blood disorders and treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":138,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Haematopoiesis; Neutropenia; Cyclic neutropenia; Granulocyte; Chronic myelogenous leukemia; Oscillation (cell signaling); Biology; Leukemia; Immunology; Granulocyte colony-stimulating factor; Internal medicine; Medicine; Stem cell; Chemotherapy; Cell biology; Biochemistry","score_opus":0.007542302302799849,"score_gpt":0.2596358833056017,"score_spread":0.2520935810028019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096885361","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26726893,0.006739679,0.5942615,0.021861393,0.00060669024,0.0001421249,0.0008896329,0.0002056316,0.108024426],"genre_scores_gemma":[0.9637348,0.0022733912,0.016402224,0.0007419818,0.0003376247,0.00014995571,0.00012693471,0.000041860625,0.01619121],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996427,0.00015298637,0.000013028604,0.00004048824,0.00008058187,0.00007024435],"domain_scores_gemma":[0.9988257,0.00058485736,0.00023854717,0.000065941946,0.00011353353,0.00017134308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009826523,0.0004670366,0.0006664542,0.000549509,0.0005689508,0.0015475722,0.0013082592,0.0015942309,0.0030850014],"category_scores_gemma":[0.00417879,0.00029472326,0.0006993835,0.00061972847,0.0016624453,0.001666779,0.0011133972,0.0015000621,0.00026429453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029679411,0.000035393306,0.0005891874,0.00005073233,0.000014285414,0.00020517812,0.000086352775,0.13717526,0.000737681,0.85604995,0.0019984439,0.0030278426],"study_design_scores_gemma":[0.000042313346,0.000037737096,0.0002612522,0.000019213036,0.000014296816,0.00024834168,0.00003959833,0.67331684,0.00011736816,0.32388568,0.0020016416,0.00001576703],"about_ca_topic_score_codex":0.0035114633,"about_ca_topic_score_gemma":0.0016734495,"teacher_disagreement_score":0.0035114633,"about_ca_system_score_codex":0.001384548,"about_ca_system_score_gemma":0.0013611951,"threshold_uncertainty_score":0.010320306},"labels":[],"label_agreement":null},{"id":"W2097257252","doi":"10.1016/j.jtbi.2011.06.013","title":"A stochastic approach to risk management for prostate cancer patients on active surveillance","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; McMaster University; York University","funders":"","keywords":"Prostate cancer; Medicine; Management of prostate cancer; Watchful waiting; Cancer; Risk analysis (engineering); Oncology; Computer science; Internal medicine","score_opus":0.01769856510284717,"score_gpt":0.2885054892209049,"score_spread":0.27080692411805773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097257252","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11123809,0.0010647251,0.85119843,0.02228221,0.00043072112,0.00030629948,0.0011004673,0.00029989137,0.012079279],"genre_scores_gemma":[0.9347764,0.00089761504,0.049428955,0.0009945381,0.000911749,0.00038939875,0.00052199746,0.000087848864,0.011991432],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9955189,0.0026325043,0.00013498223,0.00056340947,0.0005871253,0.00056306523],"domain_scores_gemma":[0.98035675,0.01606053,0.0012793952,0.00043818992,0.0010354832,0.0008297116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060470947,0.0012141446,0.0027955542,0.001565487,0.001161166,0.002789169,0.0036130783,0.0030777713,0.0058697276],"category_scores_gemma":[0.026067825,0.0014602607,0.0020771122,0.001105947,0.0019504107,0.0021829521,0.0023877034,0.003327967,0.00035211703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014148539,0.00013382427,0.002862564,0.00007332916,0.00018617263,0.0003099216,0.00017761107,0.8483132,0.00024435666,0.13621871,0.0031773297,0.008161466],"study_design_scores_gemma":[0.000044728582,0.000046359535,0.00048030814,0.000014765571,0.000037572718,0.00007422667,0.0000517477,0.9359243,0.000040773673,0.06288761,0.0003718018,0.000025870111],"about_ca_topic_score_codex":0.015226877,"about_ca_topic_score_gemma":0.011856617,"teacher_disagreement_score":0.015226877,"about_ca_system_score_codex":0.0039321133,"about_ca_system_score_gemma":0.0036932656,"threshold_uncertainty_score":0.031980515},"labels":[],"label_agreement":null},{"id":"W2098832670","doi":"10.1016/j.jtbi.2013.12.021","title":"Impact of Tenofovir gel as a PrEP on HIV infection: A mathematical model","year":2014,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Missouri","keywords":"Tenofovir; Human immunodeficiency virus (HIV); Condom; Psychological intervention; Medicine; Transmission (telecommunications); Pre-exposure prophylaxis; Virology; Men who have sex with men; Computer science; Nursing","score_opus":0.017995474009487825,"score_gpt":0.3882834679528985,"score_spread":0.37028799394341066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098832670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6969598,0.006443387,0.11418829,0.036890972,0.0007640263,0.00031553858,0.0028823435,0.00029747255,0.14125814],"genre_scores_gemma":[0.9256547,0.0023626047,0.0046915864,0.0012617633,0.0002988283,0.00020964308,0.00031887073,0.000068565,0.06513336],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993162,0.00026491706,0.000016415888,0.00007887032,0.000052752235,0.00027077063],"domain_scores_gemma":[0.99435824,0.0043841708,0.00056508393,0.000070411355,0.00026409162,0.00035798407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001415806,0.0017326239,0.0029739393,0.0013428311,0.0013594719,0.0029933255,0.0025319494,0.005815357,0.013613829],"category_scores_gemma":[0.0076576592,0.0011911852,0.0021803582,0.0009904536,0.0023269088,0.0030921737,0.0020750584,0.003760198,0.0009381111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003785089,0.0005022955,0.002160652,0.00023955201,0.00016094699,0.0008492067,0.00017986949,0.87247896,0.00092689984,0.11278243,0.005363486,0.003977255],"study_design_scores_gemma":[0.0002253774,0.0002480431,0.00072779646,0.000044811495,0.00017052842,0.00021424577,0.00017253593,0.9739352,0.00012971362,0.023164013,0.0009200301,0.000047779627],"about_ca_topic_score_codex":0.02497074,"about_ca_topic_score_gemma":0.0113767,"teacher_disagreement_score":0.02497074,"about_ca_system_score_codex":0.0029088906,"about_ca_system_score_gemma":0.0030672564,"threshold_uncertainty_score":0.04965079},"labels":[],"label_agreement":null},{"id":"W2099158803","doi":"10.1016/j.jtbi.2015.10.018","title":"PAM: Particle automata model in simulation of Fusarium graminearum pathogen expansion","year":2015,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Cellular automaton; Coalescence (physics); Biological system; Fusarium; Computer science; Model system; Particle system; Context (archaeology); Biology; Statistical physics; Artificial intelligence; Physics; Botany; Computer graphics (images)","score_opus":0.021845848768913205,"score_gpt":0.2892962914379486,"score_spread":0.2674504426690354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099158803","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4269787,0.000719832,0.5442532,0.001626203,0.00050031155,0.00010042608,0.0010389908,0.0018211654,0.022961242],"genre_scores_gemma":[0.97691333,0.00009859676,0.020145118,0.0000704685,0.000028135633,0.00007117416,0.00012949132,0.00005816,0.002485491],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998073,0.000075053395,0.000009477415,0.000035058863,0.000035715304,0.00003732477],"domain_scores_gemma":[0.9990086,0.00067065004,0.00006548384,0.00005772803,0.000115280745,0.00008227202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039480138,0.0003346507,0.00069356844,0.00041453633,0.0006214624,0.0006545884,0.0009651727,0.0015618674,0.004452901],"category_scores_gemma":[0.002417704,0.00030155157,0.00060032954,0.0004489111,0.00048983825,0.0007753791,0.00072088855,0.000834244,0.0003174955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042323732,0.000016282138,0.000567229,0.000022838625,0.000010548712,0.000044697226,0.000022332219,0.9883801,0.0004479698,0.008378038,0.00037128775,0.0016963037],"study_design_scores_gemma":[0.00000430772,0.000005173767,0.000039075116,0.0000012685186,0.0000017835337,0.0000043951623,0.0000025014979,0.99863607,0.0000890749,0.0011172001,0.000097592856,0.0000016416633],"about_ca_topic_score_codex":0.012674982,"about_ca_topic_score_gemma":0.0055506253,"teacher_disagreement_score":0.012674982,"about_ca_system_score_codex":0.0005828959,"about_ca_system_score_gemma":0.0007766204,"threshold_uncertainty_score":0.025202394},"labels":[],"label_agreement":null},{"id":"W2101393159","doi":"10.1016/j.jtbi.2005.08.043","title":"Life-history evolution and the origin of multicellularity","year":2005,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":149,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Multicellular organism; Biology; Evolutionary biology; Reproduction; Trade-off; Life history; Life history theory; Fitness landscape; Extant taxon; Ecology; Genetics; Demography; Cell","score_opus":0.006963113952230788,"score_gpt":0.24489094166197928,"score_spread":0.2379278277097485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101393159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94718987,0.004067207,0.019866392,0.0042935107,0.000056289256,0.000010051276,0.00007939981,0.00005947151,0.024377715],"genre_scores_gemma":[0.9973347,0.0005303342,0.0012706802,0.00006440148,0.00002458844,0.0000025891889,0.00002093667,0.000007363579,0.0007444292],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99988306,0.000036134974,0.0000046120535,0.00002736553,0.000021326267,0.000027501237],"domain_scores_gemma":[0.99918455,0.00043212503,0.00010919252,0.000073565134,0.00008611552,0.00011437387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005454591,0.00018667235,0.0002737535,0.00054618175,0.0006576884,0.0009338137,0.000549705,0.00079799007,0.0020056036],"category_scores_gemma":[0.002153491,0.00016703761,0.00025507328,0.00039866983,0.0014866246,0.0016689777,0.00080600183,0.00091975654,0.00016590048],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015047555,0.000045173372,0.019954702,0.00019641535,0.00006157051,0.00078523887,0.0011681985,0.022613073,0.015473395,0.8901875,0.00093190034,0.04843231],"study_design_scores_gemma":[0.000024361154,0.00004531181,0.026562722,0.00003384282,0.000031140593,0.00085698406,0.00036582284,0.04142646,0.002204279,0.9197085,0.008698793,0.000041762265],"about_ca_topic_score_codex":0.00089624175,"about_ca_topic_score_gemma":0.00073392875,"teacher_disagreement_score":0.0020056036,"about_ca_system_score_codex":0.0011605036,"about_ca_system_score_gemma":0.00027127846,"threshold_uncertainty_score":0.00842005},"labels":[],"label_agreement":null},{"id":"W2104290180","doi":"10.1006/jtbi.2000.2233","title":"Double-stranded RNA as a Not-self Alarm Signal: to Evade, most Viruses Purine-load their RNAs, but some (HTLV-1, Epstein-Barr) Pyrimidine-load","year":2001,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"T-cell and Retrovirus Studies","field":"Immunology and Microbiology","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"RNA; Biology; RNA silencing; Purine; Nucleic acid; Purine metabolism; Translation (biology); Virology; Messenger RNA; Genetics; Biochemistry; RNA interference; Gene","score_opus":0.018217352033809416,"score_gpt":0.2646681771056205,"score_spread":0.2464508250718111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104290180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9562265,0.007902274,0.02153252,0.0017440153,0.0008176265,0.000028924966,0.0000870556,0.00034701603,0.011314025],"genre_scores_gemma":[0.9891756,0.00095524435,0.0049905637,0.00030740153,0.00009764575,0.0000075185603,0.000057402158,0.00001750762,0.004391041],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998882,0.000021164387,0.000003977437,0.00003144811,0.000030907424,0.000024388699],"domain_scores_gemma":[0.9998348,0.00004559443,0.000031552114,0.000021824142,0.00002080259,0.00004534989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002248966,0.00023792706,0.00016847884,0.00013259765,0.00021612245,0.0007259508,0.00017316992,0.0006243063,0.001495931],"category_scores_gemma":[0.00026595552,0.000096849435,0.00011376731,0.00006157675,0.00041905008,0.0005856996,0.0002399871,0.00044360312,0.0004709806],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019514932,0.00002251524,0.0005650272,0.00008031636,0.0000057142724,0.0001969637,0.000033319124,0.0001532624,0.9838044,0.004502988,0.00028796922,0.010152407],"study_design_scores_gemma":[0.000047178943,0.0005666634,0.0029427104,0.000021971173,0.000021151285,0.0014298641,0.000086567394,0.003105427,0.97781026,0.004142226,0.0098135825,0.000012391264],"about_ca_topic_score_codex":0.000043549422,"about_ca_topic_score_gemma":0.000084575375,"teacher_disagreement_score":0.001495931,"about_ca_system_score_codex":0.00019036994,"about_ca_system_score_gemma":0.00012477003,"threshold_uncertainty_score":0.005004406},"labels":[],"label_agreement":null},{"id":"W2104378134","doi":"10.1016/j.jtbi.2007.06.015","title":"Rhythms of high-grade block in an ionic model of a strand of regionally ischemic ventricular muscle","year":2007,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Cardiology; Internal medicine; Ventricular fibrillation; Rhythm; Beat (acoustics); Ischemia; Ventricular tachycardia; Medicine; Fibrillation; Physics; Atrial fibrillation","score_opus":0.009617315281547486,"score_gpt":0.2720861208524289,"score_spread":0.2624688055708814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104378134","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89777887,0.00022817176,0.09228478,0.00027142777,0.00006339129,0.000038167895,0.00015363336,0.00016294545,0.009018716],"genre_scores_gemma":[0.99520004,0.00008359853,0.0026067612,0.000016408705,0.000017308334,0.000012818916,0.000036310128,0.000019282325,0.002007378],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993217,0.000023564808,0.0000046727896,0.000012887118,0.000011924105,0.000014782764],"domain_scores_gemma":[0.99975306,0.00007261969,0.000052183434,0.000033350134,0.000028344488,0.00006037835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026714947,0.0003368704,0.00037241378,0.00024340428,0.00031430667,0.0005180207,0.0006788624,0.0005993833,0.001581518],"category_scores_gemma":[0.00068082876,0.00015594903,0.00038857307,0.0001552566,0.0008153058,0.0005069103,0.0005602169,0.00040400634,0.0002009166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010325002,0.00016804495,0.0043981117,0.00019267185,0.00011555169,0.0025996924,0.0009870826,0.6003864,0.22239526,0.15975109,0.001357785,0.0066157854],"study_design_scores_gemma":[0.00007515385,0.00030070057,0.0027538708,0.000011975234,0.000035653622,0.00032262184,0.00014063758,0.9654089,0.0043822764,0.02589787,0.0006455628,0.000024774792],"about_ca_topic_score_codex":0.0009393583,"about_ca_topic_score_gemma":0.0007312636,"teacher_disagreement_score":0.001581518,"about_ca_system_score_codex":0.00022993317,"about_ca_system_score_gemma":0.00020351834,"threshold_uncertainty_score":0.005290687},"labels":[],"label_agreement":null},{"id":"W2106726253","doi":"10.1016/j.jtbi.2006.10.014","title":"Inferring resource distributions from Atlantic bluefin tuna movements: An analysis based on net displacement and length of track","year":2006,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Agriculture and Agri-Food Canada","funders":"British Antarctic Survey; National Marine Fisheries Service; University of Washington; National Science Foundation","keywords":"Tuna; Movement (music); Track (disk drive); Displacement (psychology); Trajectory; Resource (disambiguation); Geodesy; Segmentation; Geology; Statistics; Fishery; Computer science; Fish <Actinopterygii>; Mathematics; Biology; Artificial intelligence; Physics","score_opus":0.004368447292184309,"score_gpt":0.22380938712707146,"score_spread":0.21944093983488716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106726253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99717146,0.000042914682,0.0025312349,0.00003163042,0.0000013255539,0.0000034034551,0.00011756678,0.0000139722615,0.00008651395],"genre_scores_gemma":[0.99579865,0.00004365874,0.0035918264,0.000009213851,0.0000053961007,0.000004376301,0.0004077971,0.000007944753,0.00013122895],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99954635,0.00017357808,0.00004063295,0.00012068585,0.000063677326,0.000055151668],"domain_scores_gemma":[0.9895648,0.008991822,0.0005388737,0.0003306334,0.0003369376,0.00023692417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021149334,0.00046146507,0.0005928337,0.0015960558,0.00062035816,0.00082615647,0.0007266253,0.0007430249,0.0007011917],"category_scores_gemma":[0.011136076,0.0005650244,0.00075428095,0.0013209041,0.00048586415,0.00085773924,0.00057751074,0.0005357749,0.00015366214],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037707656,0.00008740411,0.9386041,0.000021823058,0.00030731293,0.000111285444,0.00010910219,0.03822008,0.0024829507,0.00016143722,0.000137042,0.019380301],"study_design_scores_gemma":[0.000043073396,0.00012999623,0.4665563,0.000009306361,0.00019353024,0.00015279207,0.00017853078,0.5310027,0.0010396313,0.0005027521,0.00016861185,0.000022577879],"about_ca_topic_score_codex":0.07094513,"about_ca_topic_score_gemma":0.09933086,"teacher_disagreement_score":0.07094513,"about_ca_system_score_codex":0.0007682816,"about_ca_system_score_gemma":0.0008285018,"threshold_uncertainty_score":0.1410644},"labels":[],"label_agreement":null},{"id":"W2109316645","doi":"10.1016/j.jtbi.2011.04.023","title":"Competitive helping increases with the size of biological markets and invades defection","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":87,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Market size; Work (physics); Helping behavior; Business; Microeconomics; Economics; Marketing; Biology; Evolutionary biology; Commerce","score_opus":0.022053795289184146,"score_gpt":0.26726108665589393,"score_spread":0.2452072913667098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109316645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98896337,0.00021725934,0.0018358174,0.00059694663,0.000009824388,0.000008303475,0.00005020346,0.000048460653,0.008269766],"genre_scores_gemma":[0.9987546,0.0000656629,0.00042741688,0.000048022874,0.000014891398,0.0000063468074,0.000020964038,0.00000691378,0.0006551887],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99940634,0.00021573096,0.000025148498,0.000101780446,0.00013621718,0.00011483124],"domain_scores_gemma":[0.9655304,0.021558248,0.007185891,0.0016541921,0.0016414052,0.0024298243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001692952,0.00024745573,0.0003224322,0.0009941658,0.00042093117,0.0013856086,0.00049638975,0.0011600576,0.0068766586],"category_scores_gemma":[0.018960768,0.00027756905,0.00027101167,0.00042162635,0.0011743534,0.0016732264,0.0010595234,0.00092702894,0.0005531573],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019330716,0.0013760132,0.6351466,0.00058872544,0.0005705785,0.0025427288,0.0037320715,0.022823371,0.07531743,0.113517284,0.0097904615,0.1326616],"study_design_scores_gemma":[0.00024723425,0.0012016135,0.75521874,0.00009206119,0.0002798097,0.0046308655,0.0043193176,0.042207368,0.009265345,0.17130382,0.011101085,0.00013270954],"about_ca_topic_score_codex":0.00046328557,"about_ca_topic_score_gemma":0.00087056076,"teacher_disagreement_score":0.0068766586,"about_ca_system_score_codex":0.00044495365,"about_ca_system_score_gemma":0.00041098642,"threshold_uncertainty_score":0.023004651},"labels":[],"label_agreement":null},{"id":"W2109596040","doi":"10.1016/j.jtbi.2011.08.001","title":"Modeling the gender-specific impact of vaginal microbicides on HIV transmission","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Reproductive tract infections research","field":"Immunology and Microbiology","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health","keywords":"Psychological intervention; Vaginal microbicide; Human immunodeficiency virus (HIV); Microbicides for sexually transmitted diseases; Intervention (counseling); Transmission (telecommunications); Medicine; Environmental health; Physiology; Virology; Health services; Computer science; Nursing; Population","score_opus":0.057516901074760686,"score_gpt":0.3284728033131269,"score_spread":0.2709559022383662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109596040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9674553,0.00063078204,0.012642639,0.0025132496,0.00010586252,0.000040335453,0.0008595661,0.00006102297,0.015691178],"genre_scores_gemma":[0.991994,0.00025021768,0.001190626,0.000141999,0.000027209886,0.000020796491,0.00011575902,0.00001976626,0.006239573],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995259,0.00021182047,0.0000070096185,0.000047794038,0.00002326081,0.00018426252],"domain_scores_gemma":[0.9964341,0.0028317529,0.0002542596,0.00006441884,0.00014788206,0.00026748938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00114847,0.0008271648,0.0008273894,0.0005622676,0.0005287033,0.0011565165,0.0017669828,0.002514405,0.01121682],"category_scores_gemma":[0.0065512704,0.0006443202,0.0009652959,0.0005990852,0.00079303584,0.001112699,0.000828194,0.0014761876,0.00052736304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015119225,0.00014589285,0.008343392,0.00002756881,0.00005541662,0.00015643689,0.000038983657,0.97794205,0.00032778498,0.009227437,0.0007128319,0.0028709243],"study_design_scores_gemma":[0.000049454848,0.000088937595,0.002023232,0.00000824025,0.000049859882,0.00003149095,0.00010146972,0.99280214,0.00011588935,0.004451,0.00026653748,0.000011770576],"about_ca_topic_score_codex":0.056315746,"about_ca_topic_score_gemma":0.038443316,"teacher_disagreement_score":0.056315746,"about_ca_system_score_codex":0.001520725,"about_ca_system_score_gemma":0.0019311254,"threshold_uncertainty_score":0.11197591},"labels":[],"label_agreement":null},{"id":"W2110031473","doi":"10.1016/j.jtbi.2007.11.002","title":"Spatial invasion of cooperation","year":2007,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":118,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute of General Medical Sciences; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Prisoner's dilemma; Population; Dilemma; Space (punctuation); Selection (genetic algorithm); Evolutionary game theory; Computer science; Game theory; Microeconomics; Biology; Evolutionary biology; Economics; Artificial intelligence; Mathematics","score_opus":0.0134000570760826,"score_gpt":0.3187704454310746,"score_spread":0.305370388354992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110031473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6767667,0.0015400816,0.066996865,0.008409358,0.00025964918,0.000030467914,0.00008077295,0.00011549542,0.24580058],"genre_scores_gemma":[0.9941136,0.00014554095,0.0013668885,0.00011218327,0.0000323249,0.000009650869,0.0000090013145,0.000005200339,0.0042055533],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957246,0.00020717169,0.000012162205,0.000061750936,0.00007221089,0.00007423084],"domain_scores_gemma":[0.9979086,0.0011628992,0.0002207804,0.0003188085,0.0002151664,0.00017379847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008550236,0.00017531376,0.00034101485,0.00050461217,0.0007767333,0.0015315709,0.00039047076,0.0008756395,0.006195981],"category_scores_gemma":[0.0047126575,0.00018998967,0.00036457286,0.0003420186,0.0024889247,0.0016643672,0.0013791037,0.00086838054,0.00036584487],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004535003,0.000027792543,0.00161471,0.000054660493,0.000030088499,0.00017220278,0.00045189474,0.0061777527,0.0021564306,0.9746752,0.002609988,0.011984037],"study_design_scores_gemma":[0.000043542565,0.0000671449,0.0051792376,0.000031649895,0.000041066978,0.00090632227,0.00088501786,0.035126437,0.00077238993,0.9476657,0.009256313,0.000025133804],"about_ca_topic_score_codex":0.00086693215,"about_ca_topic_score_gemma":0.00080644124,"teacher_disagreement_score":0.006195981,"about_ca_system_score_codex":0.00055113615,"about_ca_system_score_gemma":0.0003703873,"threshold_uncertainty_score":0.020727634},"labels":[],"label_agreement":null},{"id":"W2111847824","doi":"10.1016/j.jtbi.2010.09.036","title":"Pattern formation and chaos in spatial ecological public goodsgames","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Precursory Research for Embryonic Science and Technology; Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada","keywords":"Chaotic; Statistical physics; Instability; Bifurcation; Dynamics (music); Lyapunov exponent; Hopf bifurcation; Physics; Turing; Classical mechanics; Computer science; Nonlinear system; Mechanics; Artificial intelligence; Quantum mechanics","score_opus":0.012078112265612445,"score_gpt":0.29287919269432394,"score_spread":0.2808010804287115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111847824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94509387,0.00007854583,0.047775976,0.00063055713,0.00001226279,0.000027533293,0.000052810934,0.000041916766,0.0062865773],"genre_scores_gemma":[0.99658954,0.000024997295,0.0023651768,0.000013429151,0.000006058404,0.00002087744,0.000017125703,0.000006002441,0.000956692],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941564,0.00027462194,0.000027621665,0.00008604907,0.00008255567,0.00011346665],"domain_scores_gemma":[0.99060917,0.0066957967,0.001163133,0.0005613177,0.00043705883,0.0005334995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014618511,0.00020932371,0.0007945895,0.00094164966,0.0010019448,0.0020570152,0.00072865916,0.0010515959,0.0026616608],"category_scores_gemma":[0.010979257,0.0004617577,0.0005202772,0.00061388453,0.0026240167,0.0022037672,0.0015446933,0.0007002935,0.00013944194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030969747,0.00008908418,0.015533325,0.0000711992,0.00008240165,0.00029191282,0.001525817,0.1680361,0.0030685046,0.7988,0.0012710037,0.010920763],"study_design_scores_gemma":[0.00009084818,0.000065073866,0.0067044296,0.000009178868,0.000025104893,0.00009731903,0.0005812729,0.40506083,0.00043916047,0.5863185,0.0005819215,0.000026323278],"about_ca_topic_score_codex":0.003935882,"about_ca_topic_score_gemma":0.0034726686,"teacher_disagreement_score":0.003935882,"about_ca_system_score_codex":0.001211656,"about_ca_system_score_gemma":0.000772906,"threshold_uncertainty_score":0.008904219},"labels":[],"label_agreement":null},{"id":"W2113647903","doi":"10.1016/j.jtbi.2005.04.004","title":"A collisional model of the energetic cost of support work qualitatively explains leg sequencing in walking and galloping, pseudo-elastic leg behavior in running and the walk-to-run transition","year":2005,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":447,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Work (physics); Froude number; Trajectory; Simulation; Mechanics; Leg muscle; Touchdown; Mechanical energy; Metabolic cost; Computer science; Physics; Control theory (sociology); Physical medicine and rehabilitation; Artificial intelligence","score_opus":0.013660527295104096,"score_gpt":0.2545690960008307,"score_spread":0.24090856870572663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113647903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75829005,0.0004789734,0.20698562,0.0020425841,0.00019079339,0.00005897182,0.00023295509,0.00013234626,0.031587686],"genre_scores_gemma":[0.9919958,0.00008353409,0.003938322,0.000061838844,0.00001429739,0.000026223373,0.000027826287,0.00002560399,0.0038265053],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999187,0.000013306421,0.000004071821,0.000015462181,0.000021281088,0.000027166336],"domain_scores_gemma":[0.9997068,0.00011565157,0.00003867947,0.000038936316,0.00003896232,0.00006092846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028821957,0.00027627902,0.00040032648,0.00037958805,0.0006726627,0.000937165,0.0011964297,0.0009845749,0.0061154356],"category_scores_gemma":[0.0012015868,0.00037328535,0.00044688582,0.0003054392,0.0009862276,0.0017122347,0.00062961574,0.000538198,0.00058457634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016848871,0.00019346952,0.0035557034,0.00009957097,0.000039363076,0.0007019302,0.00033369963,0.5734225,0.015210162,0.39062625,0.0017600564,0.01388889],"study_design_scores_gemma":[0.000021946753,0.000035476227,0.0035037096,0.000008315594,0.000008588785,0.00016280808,0.00011033168,0.9043826,0.00036889882,0.09095468,0.0004258664,0.000016798585],"about_ca_topic_score_codex":0.0021472424,"about_ca_topic_score_gemma":0.0020696614,"teacher_disagreement_score":0.0061154356,"about_ca_system_score_codex":0.000541423,"about_ca_system_score_gemma":0.0004916869,"threshold_uncertainty_score":0.020458162},"labels":[],"label_agreement":null},{"id":"W2113654363","doi":"10.1016/j.jtbi.2013.05.004","title":"Predator bioenergetics and the prey size spectrum: Do foraging costs determine fish production?","year":2013,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Natural Resources and Forestry; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Predation; Foraging; Bioenergetics; Optimal foraging theory; Biology; Energy budget; Ecology; Life history","score_opus":0.003899082448654441,"score_gpt":0.21034832158316877,"score_spread":0.20644923913451432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113654363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99874926,0.00025933608,0.00028983143,0.00016044005,0.0000030201918,0.000001544895,0.000022728711,0.0000014995013,0.0005124222],"genre_scores_gemma":[0.9994272,0.00009013584,0.00016720772,0.000037411126,0.000006622875,0.0000015731067,0.000016474016,0.0000037449838,0.000249588],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99988735,0.00003865437,0.0000059162953,0.000027102344,0.000012858367,0.000028099268],"domain_scores_gemma":[0.9972295,0.0017372982,0.0005028581,0.00015684415,0.00008078998,0.00029268608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065080565,0.00028296598,0.00041832824,0.00029422072,0.00019763318,0.0009897872,0.00036714916,0.00097007444,0.0028687676],"category_scores_gemma":[0.003216978,0.00047354796,0.00031940572,0.00023743823,0.0008348182,0.0011240499,0.00044320428,0.00042130792,0.0003097777],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031295058,0.0003532024,0.9123835,0.000119344986,0.0003771572,0.00050963013,0.00029835777,0.0018759468,0.050121374,0.00214546,0.00031875173,0.028367812],"study_design_scores_gemma":[0.000020270809,0.00007498416,0.9946966,0.000008214467,0.000064290376,0.00017663215,0.00014693917,0.002495323,0.00066684023,0.001539742,0.000099373305,0.000010732132],"about_ca_topic_score_codex":0.0020610646,"about_ca_topic_score_gemma":0.0044199056,"teacher_disagreement_score":0.0028687676,"about_ca_system_score_codex":0.0002586157,"about_ca_system_score_gemma":0.00021782171,"threshold_uncertainty_score":0.009597003},"labels":[],"label_agreement":null},{"id":"W2116374368","doi":"10.1016/j.jtbi.2008.04.031","title":"Species abundance distribution and dynamics in two locally coupled communities","year":2008,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metacommunity; Relative abundance distribution; Abundance (ecology); Ecology; Metapopulation; Local extinction; Fragmentation (computing); Species diversity; Community structure; Relative species abundance; Geography; Biology; Population; Biological dispersal","score_opus":0.008445849776094602,"score_gpt":0.2474191465309465,"score_spread":0.23897329675485188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116374368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992095,0.0000070714436,0.00062289333,0.000016065525,5.741813e-7,0.000002587906,0.0000075658445,0.0000038495423,0.00012983059],"genre_scores_gemma":[0.9994041,0.0000049964997,0.00040803838,0.0000046317455,9.655777e-7,0.0000043520604,0.000015775662,0.0000017358878,0.00015550402],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978226,0.000069503905,0.000011244063,0.000065742184,0.000026965437,0.00004437953],"domain_scores_gemma":[0.99737036,0.0013660786,0.00037809412,0.0001391533,0.00023008692,0.0005162924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061533257,0.0001929339,0.00046107417,0.00070174364,0.00073203753,0.0010099246,0.0008561617,0.0007932062,0.0016620916],"category_scores_gemma":[0.00372883,0.00046502418,0.00044257607,0.0003735755,0.0014191706,0.00080024067,0.0010738765,0.0004374637,0.00013205495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004734676,0.0012362831,0.4133587,0.00022399967,0.0009234315,0.0025690987,0.00784386,0.39268938,0.115374655,0.038809545,0.00084337016,0.021393018],"study_design_scores_gemma":[0.00025758,0.00033106378,0.15761839,0.000010998723,0.00016740985,0.0003780294,0.0021890195,0.8266062,0.0016797775,0.010445285,0.00022222957,0.00009404338],"about_ca_topic_score_codex":0.012244147,"about_ca_topic_score_gemma":0.011573538,"teacher_disagreement_score":0.012244147,"about_ca_system_score_codex":0.0010587313,"about_ca_system_score_gemma":0.0004470631,"threshold_uncertainty_score":0.024345756},"labels":[],"label_agreement":null},{"id":"W2116453336","doi":"10.1016/j.jtbi.2009.05.029","title":"The evolution of social learning rules: Payoff-biased and frequency-dependent biased transmission","year":2009,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":184,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Biotechnology and Biological Sciences Research Council","keywords":"Conformist; Social learning; Stochastic game; Population; Natural selection; Learning rule; Selection (genetic algorithm); Mathematical economics; Computer science; Artificial intelligence; Economics; Sociology; Law","score_opus":0.008663112882890227,"score_gpt":0.2884936203283744,"score_spread":0.27983050744548416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116453336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9699728,0.00021321588,0.024420517,0.000596767,0.000025353633,0.000020165851,0.000062649015,0.00003668276,0.0046518184],"genre_scores_gemma":[0.9958631,0.00011322506,0.0030945984,0.00007476779,0.00001673338,0.000011120013,0.00002121431,0.000012316625,0.00079286227],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999114,0.0004666696,0.000037265356,0.0001520604,0.00012319701,0.00010679112],"domain_scores_gemma":[0.9813116,0.013384251,0.0019847143,0.001334625,0.0012898351,0.00069496664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025595643,0.00021391324,0.00052367785,0.00068783405,0.00043424746,0.0018706236,0.00085387315,0.0015906442,0.0021725006],"category_scores_gemma":[0.033814874,0.00034969838,0.0003273439,0.00031378394,0.0012211261,0.0016329242,0.0007255189,0.0009703952,0.00026047585],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076399103,0.0004598305,0.100618385,0.00042728952,0.00065729354,0.0011634078,0.0021695702,0.13893743,0.06124559,0.5878693,0.004245637,0.10144227],"study_design_scores_gemma":[0.00021617486,0.00017553585,0.06405874,0.0000490723,0.00019992162,0.0011739976,0.00041953576,0.5033213,0.0035987317,0.42544362,0.0011890254,0.00015429987],"about_ca_topic_score_codex":0.000989097,"about_ca_topic_score_gemma":0.0011784256,"teacher_disagreement_score":0.0025595643,"about_ca_system_score_codex":0.0006060041,"about_ca_system_score_gemma":0.00048824906,"threshold_uncertainty_score":0.013536394},"labels":[],"label_agreement":null},{"id":"W2117166677","doi":"10.1016/j.jtbi.2004.04.014","title":"The wild-type circadian period of Neurospora is encoded in the residual network of the null frq mutants","year":2004,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Circadian rhythm and melatonin","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds de Recherche du Québec - Santé; Royal Society","keywords":"Neurospora; Mutant; Period (music); Null (SQL); Biology; Circadian rhythm; Wild type; Residual; Genetics; Botany; Neurospora crassa; Gene; Mathematics; Computer science; Endocrinology; Physics; Algorithm; Data mining","score_opus":0.015212285202708443,"score_gpt":0.2639562834753392,"score_spread":0.24874399827263077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117166677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927631,0.00007873506,0.006041561,0.000047568366,0.000013417479,0.000003104108,0.0002438337,0.00015042543,0.00065826933],"genre_scores_gemma":[0.9961994,0.0000644923,0.0018694391,0.000016096848,0.000003536568,0.00000539538,0.00032372944,0.000059816288,0.0014580265],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999329,0.0000043040686,0.0000035932078,0.000026925914,0.0000140365255,0.0000182214],"domain_scores_gemma":[0.9997285,0.00002849383,0.00007253616,0.000046729587,0.000036154208,0.00008756435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000056510213,0.0003408985,0.00018743248,0.00022634263,0.00017351915,0.000274684,0.00035552654,0.0001676665,0.0010146352],"category_scores_gemma":[0.00025654715,0.0001963138,0.00020285811,0.00010389463,0.0003208169,0.00027188152,0.00022834225,0.0004249966,0.00028805583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060670216,0.0000045209044,0.00056519726,0.000008001838,0.000004758426,0.000046618763,0.0000111175705,0.00024894055,0.9975926,0.00040301133,0.000036870286,0.0010176344],"study_design_scores_gemma":[0.000044800858,0.00018093098,0.0914148,0.000010935285,0.000120930716,0.0010263781,0.00014223161,0.019399634,0.8819194,0.0020105282,0.0036824462,0.000047049776],"about_ca_topic_score_codex":0.004205823,"about_ca_topic_score_gemma":0.0039452324,"teacher_disagreement_score":0.004205823,"about_ca_system_score_codex":0.00030392897,"about_ca_system_score_gemma":0.00031245136,"threshold_uncertainty_score":0.0083627105},"labels":[],"label_agreement":null},{"id":"W2117393235","doi":"10.1016/j.jtbi.2008.05.019","title":"Mate choice for non-additive genetic benefits: A resolution to the lek paradox","year":2008,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mate choice; Evolutionary biology; Biology; Ecology","score_opus":0.00892721112211187,"score_gpt":0.26768569295095274,"score_spread":0.25875848182884087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117393235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70441526,0.0038988502,0.14075184,0.045921464,0.00042233217,0.000027981723,0.00028931946,0.0003135181,0.10395947],"genre_scores_gemma":[0.9896932,0.00039628518,0.004599032,0.0017020655,0.00013263135,0.000012138393,0.000023307257,0.00005810553,0.0033831976],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989373,0.00048711547,0.000036696238,0.00021355599,0.00017840651,0.00014693396],"domain_scores_gemma":[0.9914233,0.005807492,0.00055413146,0.0014024287,0.00034487207,0.0004677621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036866632,0.0004186656,0.0023305647,0.0005895964,0.0010061479,0.0028577093,0.0015333592,0.003765743,0.011015612],"category_scores_gemma":[0.015559912,0.00045726713,0.0005862902,0.0005769754,0.0038069382,0.005787192,0.0026452823,0.0035536874,0.0010172131],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041559903,0.000111144196,0.0059854793,0.00028382696,0.00015218234,0.001202871,0.0004658396,0.010940631,0.00775663,0.92618597,0.006462398,0.040037375],"study_design_scores_gemma":[0.00007458507,0.000025156683,0.0019907418,0.000015758917,0.000027522125,0.00062640687,0.00019110956,0.017166996,0.00032977562,0.9778104,0.0017082245,0.000033326585],"about_ca_topic_score_codex":0.00040260438,"about_ca_topic_score_gemma":0.000542717,"teacher_disagreement_score":0.011015612,"about_ca_system_score_codex":0.00088333496,"about_ca_system_score_gemma":0.000776573,"threshold_uncertainty_score":0.03685093},"labels":[],"label_agreement":null},{"id":"W2117687232","doi":"10.1016/j.jtbi.2008.05.016","title":"Evolutionary game dynamics with impulsive effects","year":2008,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Evolutionarily stable strategy; Evolutionary dynamics; Population; Stability (learning theory); Evolutionary game theory; Dynamics (music); Reproduction; Evolutionary biology; Game theory; Biology; Control theory (sociology); Mathematics; Computer science; Ecology; Mathematical economics; Physics; Artificial intelligence; Demography","score_opus":0.00526288279111432,"score_gpt":0.26222184902897094,"score_spread":0.25695896623785663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117687232","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3105094,0.0004194227,0.5941026,0.003692849,0.00033045615,0.000112765585,0.00014038238,0.00013581346,0.09055639],"genre_scores_gemma":[0.97020984,0.00021439652,0.012340298,0.00019852183,0.00007245878,0.00007911389,0.00002472408,0.000018545687,0.016842127],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992243,0.00038946787,0.000029318528,0.00008397956,0.00017157385,0.00010136953],"domain_scores_gemma":[0.9941069,0.0045351023,0.00041068526,0.000236362,0.00030271147,0.0004082544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016790472,0.0006350895,0.0008326402,0.0007124161,0.00076237344,0.0020324856,0.0012814477,0.002184523,0.0064763604],"category_scores_gemma":[0.010369639,0.0004454712,0.000735664,0.00061043317,0.0020563556,0.0029144913,0.0020586622,0.0023435026,0.00035682585],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003465339,0.000054235115,0.0005974469,0.00003564126,0.00003426309,0.0002686722,0.00017989268,0.06333038,0.00070918875,0.9304664,0.0006792534,0.0036099502],"study_design_scores_gemma":[0.000061146755,0.000046536283,0.0003921468,0.000012191204,0.000032309035,0.00019764504,0.00011036846,0.37232104,0.00018472665,0.6253561,0.0012632682,0.000022606982],"about_ca_topic_score_codex":0.0010234987,"about_ca_topic_score_gemma":0.0007789369,"teacher_disagreement_score":0.0064763604,"about_ca_system_score_codex":0.0009891174,"about_ca_system_score_gemma":0.00072531705,"threshold_uncertainty_score":0.021665633},"labels":[],"label_agreement":null},{"id":"W2119584141","doi":"10.1016/j.jtbi.2005.03.033","title":"A mathematical model of hematopoiesis—I. Periodic chronic myelogenous leukemia","year":2005,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Chronic Myeloid Leukemia Treatments","field":"Medicine","cited_by":276,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Haematopoiesis; Chronic myelogenous leukemia; Stem cell; Leukemia; Biology; Hematopoietic stem cell; Immunology; Platelet; Cell biology; Cancer research","score_opus":0.01444154634903463,"score_gpt":0.28196083830422836,"score_spread":0.26751929195519375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119584141","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27279496,0.014385558,0.51780474,0.037995346,0.0011973103,0.00016874915,0.00092294137,0.00016964936,0.15456074],"genre_scores_gemma":[0.9573701,0.0039127404,0.016448397,0.00090482744,0.000586099,0.00014328552,0.00013956656,0.000024022791,0.020470986],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997782,0.000106739695,0.000008654367,0.00002584175,0.000044838467,0.00003571249],"domain_scores_gemma":[0.9994711,0.00024598674,0.000118331154,0.00002968314,0.00004946216,0.000085413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070840074,0.00043233097,0.00056077517,0.00043374786,0.0006572216,0.0012910763,0.0010670562,0.001517177,0.0028268597],"category_scores_gemma":[0.0023436921,0.00022716637,0.00052623975,0.00054995285,0.0014076206,0.0014477541,0.00091801555,0.0013795635,0.00027549206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000148711215,0.00002007007,0.00035931496,0.000040701336,0.000009095182,0.000119714154,0.00007735175,0.031213913,0.00038433864,0.9640115,0.0016424765,0.002106694],"study_design_scores_gemma":[0.000056269033,0.000048899037,0.00035173717,0.000032562817,0.000015066152,0.00027014056,0.00007328717,0.27190137,0.000114678965,0.7231858,0.0039336607,0.000016502081],"about_ca_topic_score_codex":0.002369858,"about_ca_topic_score_gemma":0.0013570691,"teacher_disagreement_score":0.0028268597,"about_ca_system_score_codex":0.0012735255,"about_ca_system_score_gemma":0.000806006,"threshold_uncertainty_score":0.009456813},"labels":[],"label_agreement":null},{"id":"W2120017361","doi":"10.1016/j.jtbi.2013.08.005","title":"Limiting similarity, species packing, and the shape of competition kernels","year":2013,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":93,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Precursory Research for Embryonic Science and Technology; Japan Science and Technology Agency; Vetenskapsrådet; Stockholms Universitet; Wissenschaftskolleg zu Berlin","keywords":"Limiting; Competition (biology); Similarity (geometry); Biological system; Biology; Mathematics; Evolutionary biology; Computer science; Ecology; Artificial intelligence; Engineering","score_opus":0.02905934132209646,"score_gpt":0.21596628997096218,"score_spread":0.18690694864886573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120017361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871946,0.00012530347,0.010466968,0.000115986615,0.00000618132,0.0000063772623,0.000028192622,0.0000381144,0.0020182293],"genre_scores_gemma":[0.9991474,0.00003524205,0.0006092316,0.000011824449,0.0000062159006,0.000003790095,0.000019168208,0.000008984473,0.00015816276],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99935335,0.00025113244,0.00004107717,0.00013045961,0.00009308797,0.00013092412],"domain_scores_gemma":[0.9798364,0.0141632715,0.0021484343,0.00156178,0.0005890078,0.0017011143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021762662,0.0003495557,0.0011761771,0.0015438169,0.0009977724,0.0022038692,0.0012914385,0.0012978079,0.0026063405],"category_scores_gemma":[0.021248126,0.00061653776,0.0005268124,0.0007568521,0.0019160422,0.002868034,0.0014882258,0.00084652175,0.00026741985],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017314694,0.0007853334,0.15453325,0.0006052815,0.0006066431,0.0018734079,0.0022354375,0.17847972,0.06676957,0.53874487,0.003481949,0.050153088],"study_design_scores_gemma":[0.0001395641,0.0003077085,0.11387988,0.000047211604,0.00016275559,0.0023124153,0.0007576772,0.43604973,0.0031697494,0.44234583,0.000684898,0.00014257731],"about_ca_topic_score_codex":0.0008798946,"about_ca_topic_score_gemma":0.0009732034,"teacher_disagreement_score":0.0026063405,"about_ca_system_score_codex":0.0006942936,"about_ca_system_score_gemma":0.00029080195,"threshold_uncertainty_score":0.011509359},"labels":[],"label_agreement":null},{"id":"W2121070703","doi":"10.1016/j.jtbi.2007.02.012","title":"Propagation of local interactions create global gap structure and dynamics in a tropical rainforest","year":2007,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rainforest; Tropical rainforest; Cluster (spacecraft); Cellular automaton; Canopy; Ecology; Statistical physics; Physics; Mathematics; Computer science; Biology; Algorithm","score_opus":0.004574759627897725,"score_gpt":0.2639125563939876,"score_spread":0.25933779676608987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121070703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99965525,0.0000075817543,0.0001441014,0.000013950114,5.750162e-7,7.5955296e-7,0.000006423491,0.000002518216,0.00016886636],"genre_scores_gemma":[0.9998597,0.0000044455974,0.000077264034,0.000002035378,6.661509e-7,5.609281e-7,0.0000048058932,0.0000010813903,0.00004937961],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991286,0.000017485389,0.0000045279894,0.000022181439,0.0000090212025,0.00003385528],"domain_scores_gemma":[0.9986266,0.00062730093,0.00025771974,0.000064733824,0.00012646835,0.0002972827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028669715,0.000089889014,0.00019401696,0.00049875356,0.0005550319,0.000984106,0.00031904934,0.00035509636,0.0015427954],"category_scores_gemma":[0.002101069,0.00021926867,0.0001465081,0.00031736444,0.00080945424,0.000731111,0.000912037,0.00037645694,0.00010649008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011040836,0.0004957866,0.8261209,0.00011772601,0.00019229692,0.0012310807,0.005721569,0.04871672,0.06337647,0.013518237,0.00091887196,0.038486302],"study_design_scores_gemma":[0.00009258717,0.00025832054,0.86152244,0.000015482066,0.00012979661,0.00036531524,0.0075521925,0.11868495,0.0020530955,0.00880881,0.0004766054,0.00004043353],"about_ca_topic_score_codex":0.006092911,"about_ca_topic_score_gemma":0.009424432,"teacher_disagreement_score":0.006092911,"about_ca_system_score_codex":0.00048385226,"about_ca_system_score_gemma":0.0003603048,"threshold_uncertainty_score":0.0121148825},"labels":[],"label_agreement":null},{"id":"W2121461317","doi":"10.1016/j.jtbi.2010.09.025","title":"Reversibility and efficiency in coding protein information","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Genetic code; Code word; Zipf's law; Computer science; Code (set theory); Amino acid; Coding (social sciences); Mathematics; Algorithm; Biology; Genetics; Statistics; Decoding methods","score_opus":0.004378326830735606,"score_gpt":0.23732529657745313,"score_spread":0.23294696974671752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121461317","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8742045,0.0011599641,0.09029388,0.0013859492,0.00021790601,0.00005429674,0.00015068612,0.0006313003,0.03190143],"genre_scores_gemma":[0.9905442,0.00024967262,0.0053842184,0.00006656053,0.000054705644,0.000027491778,0.00004865416,0.00015653271,0.003467998],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99849474,0.0005505733,0.000090033194,0.00024421402,0.00040033096,0.00022023128],"domain_scores_gemma":[0.9767447,0.016744915,0.0010442471,0.0041978923,0.0008151815,0.0004531344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038989221,0.0005157929,0.00072570733,0.0010330023,0.00056501717,0.0021143819,0.0014825523,0.0016258089,0.0054188985],"category_scores_gemma":[0.018381326,0.0005456008,0.0005958059,0.0006573785,0.0022880689,0.0045194575,0.0011147249,0.0018355899,0.0007380198],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057792873,0.00022417399,0.0026561092,0.00021977036,0.00004928753,0.00036116742,0.00026317974,0.049652938,0.070729814,0.84092766,0.0006357456,0.033702172],"study_design_scores_gemma":[0.00011133801,0.0003049914,0.0022777661,0.000035454334,0.00007016993,0.000911647,0.0001511431,0.20007555,0.14391598,0.649595,0.0024463292,0.000104575025],"about_ca_topic_score_codex":0.0001591066,"about_ca_topic_score_gemma":0.000096844444,"teacher_disagreement_score":0.0054188985,"about_ca_system_score_codex":0.0008957881,"about_ca_system_score_gemma":0.0005217243,"threshold_uncertainty_score":0.02061969},"labels":[],"label_agreement":null},{"id":"W2121554831","doi":"10.1006/jtbi.2002.3133","title":"Evolving the Division of Labour: Generalists, Specialists and Task Allocation","year":2002,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Generalist and specialist species; Division of labour; Context (archaeology); Task (project management); Division (mathematics); Computer science; Workload; Set (abstract data type); Biology; Evolutionary biology; Microeconomics; Ecology; Economics; Mathematics; Management; Market economy","score_opus":0.015090162777648448,"score_gpt":0.28498243678798457,"score_spread":0.2698922740103361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121554831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98055947,0.00016804654,0.011018839,0.0016408097,0.000023451423,0.000018163606,0.000034141536,0.000010234816,0.006526737],"genre_scores_gemma":[0.9954869,0.000082008184,0.0030137522,0.00013231015,0.00000938294,0.000018409351,0.000015996959,0.000007751132,0.0012334838],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99875927,0.0007413252,0.000028539052,0.0001649528,0.000064679356,0.00024123122],"domain_scores_gemma":[0.9932074,0.004607334,0.0005938898,0.00039048478,0.00029772965,0.00090311025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041870307,0.00038411812,0.0007096261,0.00056862383,0.0009832287,0.0028450545,0.0010461705,0.0029510607,0.005558777],"category_scores_gemma":[0.017266823,0.00040032496,0.0004512332,0.0005206716,0.0020780119,0.0033456436,0.0018698632,0.0013909533,0.00038569188],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024878953,0.00092051906,0.111261874,0.0005536031,0.00045073102,0.0010892774,0.012307157,0.14962307,0.03693258,0.5265393,0.0075127,0.15032119],"study_design_scores_gemma":[0.00039964617,0.00041671793,0.04782328,0.00005730153,0.00016054942,0.0003714832,0.009779593,0.2459076,0.0019525136,0.6869998,0.0060143685,0.000117280804],"about_ca_topic_score_codex":0.0029696852,"about_ca_topic_score_gemma":0.005816294,"teacher_disagreement_score":0.005558777,"about_ca_system_score_codex":0.001522602,"about_ca_system_score_gemma":0.0012889556,"threshold_uncertainty_score":0.022143424},"labels":[],"label_agreement":null},{"id":"W2122183564","doi":"10.1016/j.jtbi.2010.01.004","title":"Detecting social transmission in networks","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Primate Behavior and Ecology","field":"Psychology","cited_by":166,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Biotechnology and Biological Sciences Research Council","keywords":"Computer science; Foraging; Transmission (telecommunications); Code (set theory); Social learning; Data science; Biology; Ecology; Telecommunications; Knowledge management","score_opus":0.014067957079280767,"score_gpt":0.34161243335147357,"score_spread":0.3275444762721928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122183564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9829434,0.00006554354,0.015161176,0.0001768402,0.000016292983,0.000016742742,0.000075714044,0.00004181012,0.0015025763],"genre_scores_gemma":[0.99720937,0.000018661358,0.0024401252,0.000012586485,0.00001849926,0.000007521757,0.000054823573,0.0000034990296,0.00023474109],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99912626,0.00038861585,0.00003682098,0.00022873997,0.00013241345,0.00008710436],"domain_scores_gemma":[0.9804331,0.015150635,0.0020437173,0.00093445095,0.00077347935,0.00066464825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017681977,0.00027064967,0.00047385454,0.0014025618,0.000631066,0.0008913645,0.00072496256,0.0011679556,0.0014565879],"category_scores_gemma":[0.017282156,0.00045028445,0.00022101331,0.0005452343,0.00066433335,0.0018569265,0.0010998364,0.00079216267,0.00023601494],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022567161,0.0009408936,0.65792024,0.00025771366,0.0004630223,0.00080049556,0.0018319297,0.09238827,0.068967916,0.03318977,0.002856173,0.13812688],"study_design_scores_gemma":[0.0000730563,0.0003996552,0.10303319,0.000026863172,0.00010507583,0.0008304033,0.00078926765,0.84988964,0.009197283,0.034752425,0.0008685223,0.000034626642],"about_ca_topic_score_codex":0.00093127124,"about_ca_topic_score_gemma":0.0010718488,"teacher_disagreement_score":0.0017681977,"about_ca_system_score_codex":0.00034141773,"about_ca_system_score_gemma":0.00019586977,"threshold_uncertainty_score":0.0093512535},"labels":[],"label_agreement":null},{"id":"W2122548297","doi":"10.1016/j.jtbi.2005.03.006","title":"On realizing shapes in the theory of RNA neutral networks","year":2005,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Statistical physics; Computer science; Biology; Mathematics; Physics; Theoretical physics","score_opus":0.010165089033771276,"score_gpt":0.2598513437536492,"score_spread":0.24968625471987793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122548297","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17961511,0.0012372077,0.7095827,0.0096201,0.0005051469,0.00007658103,0.00016824315,0.00039080842,0.09880413],"genre_scores_gemma":[0.93202657,0.001140538,0.049228225,0.00074749073,0.00032772182,0.00015430103,0.00009739201,0.00013163021,0.016146116],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99917406,0.0004381573,0.000025438881,0.00006972245,0.00019383941,0.00009870642],"domain_scores_gemma":[0.99511933,0.0035373257,0.0002600221,0.00037625775,0.00038166431,0.00032549415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002189518,0.00070748053,0.00070915086,0.00089197414,0.0012543949,0.002446975,0.0014835733,0.0020784766,0.004599545],"category_scores_gemma":[0.010397181,0.00047920036,0.00089871313,0.0006213916,0.0042789155,0.005365614,0.0026251364,0.0025783265,0.000628731],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011980715,0.000003308822,0.000051494786,0.000008169896,0.0000024812557,0.000015919697,0.00004468082,0.007524531,0.0001687596,0.990284,0.00027998048,0.0016046462],"study_design_scores_gemma":[0.0000055176315,0.000004588402,0.000012937919,0.0000033966696,0.0000011824619,0.00001058063,0.000014310568,0.027689917,0.000069242145,0.9717972,0.0003872399,0.000003872339],"about_ca_topic_score_codex":0.0009982283,"about_ca_topic_score_gemma":0.0007986736,"teacher_disagreement_score":0.004599545,"about_ca_system_score_codex":0.0015005771,"about_ca_system_score_gemma":0.00069180253,"threshold_uncertainty_score":0.015386999},"labels":[],"label_agreement":null},{"id":"W2125576890","doi":"10.1016/j.jtbi.2009.01.018","title":"The invisible niche: Weakly density-dependent mortality and the coexistence of species","year":2009,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Niche; Ecological niche; Density dependence; Competition (biology); Ecology; Niche segregation; Coexistence theory; Niche differentiation; Scaling; Biology; Habitat; Population; Geometry; Mathematics","score_opus":0.036196761246190264,"score_gpt":0.32923733774435915,"score_spread":0.2930405764981689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125576890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86976314,0.001433832,0.11369681,0.005558192,0.00012068854,0.00001673642,0.00005604991,0.000055005927,0.009299463],"genre_scores_gemma":[0.99743456,0.00022610204,0.0013749237,0.00011886718,0.00009736656,0.0000064365154,0.000010117333,0.0000085843085,0.00072307495],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987186,0.00071835483,0.000041217572,0.00013797688,0.00017780138,0.00020614428],"domain_scores_gemma":[0.97661805,0.017540338,0.0022700399,0.0011559435,0.0005954102,0.001820345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036448557,0.00051974563,0.0009675394,0.0014417932,0.0010593962,0.0023537434,0.0017813881,0.0020218415,0.0020620576],"category_scores_gemma":[0.02537,0.0006198422,0.0007366802,0.00054953055,0.005687633,0.004845419,0.003795936,0.0023065314,0.00013839033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033896748,0.00013740214,0.019308295,0.00026246687,0.00015212221,0.0014848124,0.0019214597,0.021450546,0.0074774143,0.9273771,0.0016526701,0.018436683],"study_design_scores_gemma":[0.00006737504,0.0001009798,0.0068282057,0.00003501176,0.000057496178,0.0010788398,0.0005332827,0.102022275,0.00057001575,0.88800144,0.0006518279,0.000053304444],"about_ca_topic_score_codex":0.0008035865,"about_ca_topic_score_gemma":0.0007278482,"teacher_disagreement_score":0.0036448557,"about_ca_system_score_codex":0.00054969,"about_ca_system_score_gemma":0.0004425997,"threshold_uncertainty_score":0.019276083},"labels":[],"label_agreement":null},{"id":"W2125670610","doi":"10.1016/j.jtbi.2006.01.011","title":"Recombination and the evolution of mutational robustness","year":2006,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Biotechnology and Biological Sciences Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Robustness (evolution); Biology; Recombination; Genetics; Population; Inbreeding; Evolutionary biology; Mutation rate; Gene","score_opus":0.002097102125868526,"score_gpt":0.22366849133483996,"score_spread":0.22157138920897143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125670610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8932042,0.0020611298,0.071644165,0.0052174344,0.00013987707,0.000023430977,0.00006523973,0.00018282719,0.027461663],"genre_scores_gemma":[0.99681914,0.0002372726,0.0020161334,0.000070187765,0.0000437204,0.00000958332,0.000012661412,0.000017841156,0.0007734417],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998879,0.0006459172,0.00003963728,0.00012795778,0.00016304795,0.0001444599],"domain_scores_gemma":[0.9915087,0.006531618,0.0005890601,0.00069494365,0.00028939798,0.00038632198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034449005,0.00029499482,0.00073694176,0.0011506857,0.0007841024,0.0023066446,0.001020759,0.0016727479,0.0028598337],"category_scores_gemma":[0.016641676,0.0002953815,0.00059013447,0.0006608668,0.0032704493,0.0031614345,0.0015659394,0.0017056114,0.0002185615],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017676275,0.000055683126,0.0037088715,0.00008078647,0.00009649677,0.00030748956,0.0004177541,0.08456562,0.004881894,0.8881108,0.00073290133,0.016865049],"study_design_scores_gemma":[0.000059020713,0.00004521121,0.0022414443,0.0000147437,0.000029917288,0.00033223556,0.00012551845,0.14814375,0.0008628971,0.8464534,0.0016505243,0.000041303578],"about_ca_topic_score_codex":0.0005179872,"about_ca_topic_score_gemma":0.00026167312,"teacher_disagreement_score":0.0034449005,"about_ca_system_score_codex":0.0011266829,"about_ca_system_score_gemma":0.00053288386,"threshold_uncertainty_score":0.018218577},"labels":[],"label_agreement":null},{"id":"W2125984743","doi":"10.1016/s0022-5193(03)00032-8","title":"Evolutionary stability in Lotka–Volterra systems","year":2003,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Evolutionarily stable strategy; Stability (learning theory); Linearization; Stability theory; Mathematics; Ecology; Volterra equations; Population; Evolutionary game theory; Mathematical economics; Game theory; Biology; Nonlinear system; Computer science; Physics","score_opus":0.02065204182332065,"score_gpt":0.30642984741319207,"score_spread":0.2857778055898714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125984743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60034,0.0015210734,0.37579107,0.0025429546,0.00009872214,0.000045543708,0.00012339633,0.00022446449,0.019312749],"genre_scores_gemma":[0.99331206,0.0001984572,0.0044659623,0.00004930897,0.000025191666,0.00003608643,0.000032111147,0.000016512307,0.0018641897],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992655,0.00037558834,0.000032262997,0.00009583336,0.00013605414,0.000094811585],"domain_scores_gemma":[0.9949561,0.0037860079,0.00050076476,0.00018411987,0.0003540427,0.00021900065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020476466,0.00036972252,0.0010958392,0.0011847154,0.0011236897,0.0020542783,0.0010026289,0.0013998396,0.0024625899],"category_scores_gemma":[0.0104452,0.00042686312,0.00081407453,0.00057046843,0.001975525,0.0021134838,0.0013280072,0.0011257897,0.00030642006],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001124028,0.000046226905,0.0025494457,0.00010025363,0.00018158313,0.00018552177,0.0004521033,0.2816297,0.0024488806,0.70256895,0.0010928684,0.008631992],"study_design_scores_gemma":[0.00002201334,0.000026462076,0.00078241824,0.000013242205,0.000020223571,0.000061586165,0.000067148394,0.62002236,0.00020938327,0.3783582,0.00039279234,0.00002424451],"about_ca_topic_score_codex":0.0017710204,"about_ca_topic_score_gemma":0.0008230872,"teacher_disagreement_score":0.0024625899,"about_ca_system_score_codex":0.0012184497,"about_ca_system_score_gemma":0.0006627723,"threshold_uncertainty_score":0.010829091},"labels":[],"label_agreement":null},{"id":"W2126578400","doi":"10.1016/j.jtbi.2008.04.004","title":"GC skew in protein-coding genes between the leading and lagging strands in bacterial genomes: New substitution models incorporating strand bias","year":2008,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"CAS-SAFEA International Partnership Program for Creative Research Teams; Natural Sciences and Engineering Research Council of Canada; Ministerio de Ciencia y Tecnología","keywords":"Skew; Substitution (logic); Gene; Lagging; Bacterial genome size; Genome; Biology; Genetics; Coding (social sciences); Computational biology; Computer science; Statistics; Mathematics","score_opus":0.039425144882415934,"score_gpt":0.2643855690242811,"score_spread":0.22496042414186518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126578400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91685367,0.00079336355,0.07809302,0.0005270819,0.00012988807,0.000023374912,0.00014249627,0.00020078298,0.003236273],"genre_scores_gemma":[0.99271715,0.0003173206,0.0059141275,0.000080665144,0.000039045746,0.000018509436,0.00005782476,0.00009015615,0.0007652154],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997427,0.0001032841,0.00001650882,0.000056031557,0.000040905183,0.00004056608],"domain_scores_gemma":[0.9985958,0.00077356095,0.00019028445,0.00016233123,0.00015344609,0.0001246566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016060149,0.00052224426,0.0006804058,0.0007453709,0.0005711611,0.0012706909,0.0010918326,0.0012073232,0.0013892786],"category_scores_gemma":[0.003612375,0.0004371291,0.0006168831,0.0006648581,0.0011809989,0.0017937748,0.0005576765,0.00086301594,0.00029994702],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008364201,0.00015081953,0.012097116,0.00017494004,0.00009184714,0.0006653505,0.00039603643,0.7800217,0.03529731,0.15155432,0.0008117434,0.017902361],"study_design_scores_gemma":[0.00005203047,0.00004622587,0.0009063556,0.000013165002,0.00005123945,0.00012660775,0.000067706285,0.9216148,0.0019561555,0.07483686,0.00029667158,0.000032220767],"about_ca_topic_score_codex":0.0016478741,"about_ca_topic_score_gemma":0.0022323085,"teacher_disagreement_score":0.0016478741,"about_ca_system_score_codex":0.00093568,"about_ca_system_score_gemma":0.00070373865,"threshold_uncertainty_score":0.008493543},"labels":[],"label_agreement":null},{"id":"W2126714704","doi":"10.1016/j.jtbi.2007.05.003","title":"The segmentation clock in mice: Interaction between the Wnt and Notch signalling pathways","year":2007,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Developmental Biology and Gene Regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Academia Mexicana de Ciencias; University of Oxford","keywords":"Somitogenesis; Paraxial mesoderm; HES1; AXIN2; Wnt signaling pathway; Notch signaling pathway; Biology; Somite; Neuroscience; Cell biology; Mesoderm; Genetics; Signal transduction; Gene; Embryonic stem cell","score_opus":0.008910109556355393,"score_gpt":0.2804443014180546,"score_spread":0.2715341918616992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126714704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96029663,0.0014305803,0.0337841,0.00078448,0.00020710716,0.000020879155,0.00055590045,0.00053324143,0.002387089],"genre_scores_gemma":[0.9816219,0.0005456018,0.013322881,0.00019252111,0.000042446314,0.00005265047,0.0002149476,0.00038526353,0.0036216865],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99956554,0.00007548994,0.000026597574,0.0001364049,0.0001170877,0.00007887345],"domain_scores_gemma":[0.9990922,0.00013716021,0.0004277308,0.000079389654,0.000054584216,0.00020902272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004501602,0.0005979956,0.0004919476,0.0009329142,0.00022090292,0.0008666707,0.0006838969,0.0007804545,0.0014492659],"category_scores_gemma":[0.001069055,0.00059965585,0.0003045468,0.00027352132,0.0009144094,0.00049337145,0.0005312782,0.0010663129,0.0003091163],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009429247,0.000031498654,0.001751716,0.000031687232,0.000023778673,0.00009574968,0.00004090875,0.0011423079,0.98505014,0.004640125,0.00019197525,0.0060571814],"study_design_scores_gemma":[0.00038559697,0.00051284744,0.050625734,0.00008606277,0.00020864696,0.0009843521,0.0001353299,0.026297305,0.908401,0.0059775705,0.0063002864,0.000085232496],"about_ca_topic_score_codex":0.0007604057,"about_ca_topic_score_gemma":0.0010901593,"teacher_disagreement_score":0.0014492659,"about_ca_system_score_codex":0.0006612867,"about_ca_system_score_gemma":0.00055033254,"threshold_uncertainty_score":0.004848242},"labels":[],"label_agreement":null},{"id":"W2126851687","doi":"10.1016/j.jtbi.2006.02.017","title":"Actin filament branching and protrusion velocity in a simple 1D model of a motile cell","year":2006,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia Hospital; University of British Columbia","funders":"","keywords":"Nucleation; Protein filament; Actin; Branching (polymer chemistry); Mechanics; Biophysics; Materials science; Physics; Chemistry; Biology; Thermodynamics; Composite material","score_opus":0.005305194714542791,"score_gpt":0.23898067868651496,"score_spread":0.23367548397197216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126851687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90174836,0.001242101,0.07390968,0.0021287305,0.00017818502,0.00004813949,0.00043138998,0.000258496,0.020054799],"genre_scores_gemma":[0.98928154,0.0004547384,0.0054324614,0.00010546302,0.00004201243,0.00003681174,0.00008179092,0.000035429537,0.004529785],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998197,0.000044101966,0.000009639992,0.00004469146,0.000040741583,0.00004116267],"domain_scores_gemma":[0.9994412,0.00021555442,0.000096560434,0.00003798812,0.00006289908,0.0001457688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042036237,0.0006459924,0.001430171,0.0010457509,0.0010475946,0.0020218578,0.0017963765,0.004157414,0.0023807054],"category_scores_gemma":[0.0015668798,0.00098812,0.001003992,0.00080093415,0.0019524437,0.0015588513,0.0010244284,0.00089297665,0.00036612924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008232932,0.000056719564,0.001125404,0.00005002506,0.000025473028,0.0002969476,0.000069789545,0.9629205,0.006045127,0.027730452,0.00034775477,0.0012494946],"study_design_scores_gemma":[0.000021506665,0.00001873015,0.0003732883,0.000004358332,0.0000102407585,0.000042912314,0.00001333712,0.9941227,0.00017417435,0.005086932,0.00011107713,0.000020708298],"about_ca_topic_score_codex":0.010923507,"about_ca_topic_score_gemma":0.0041104914,"teacher_disagreement_score":0.010923507,"about_ca_system_score_codex":0.0016361488,"about_ca_system_score_gemma":0.0008165424,"threshold_uncertainty_score":0.021719873},"labels":[],"label_agreement":null},{"id":"W2127008233","doi":"10.1016/j.jtbi.2007.03.015","title":"The different limits of weak selection and the evolutionary dynamics of finite populations","year":2007,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":149,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Selection (genetic algorithm); Evolutionary dynamics; Stochastic game; Evolutionary game theory; Context (archaeology); Kin selection; Group selection; Mathematical economics; Inclusive fitness; Game theory; Mathematics; Computer science; Evolutionary biology; Biology; Population; Artificial intelligence","score_opus":0.014621050919317254,"score_gpt":0.3088679288296884,"score_spread":0.29424687791037113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127008233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6979816,0.004874541,0.17393719,0.016485235,0.00033342972,0.000043244687,0.0001048806,0.00017652928,0.10606335],"genre_scores_gemma":[0.99120164,0.0008248146,0.0046398193,0.00039108153,0.00018766982,0.000046763653,0.000018337902,0.000032212265,0.002657653],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979114,0.0012475384,0.000083163075,0.00019942537,0.00032274218,0.00023569129],"domain_scores_gemma":[0.9702297,0.0247291,0.0011020805,0.0014517761,0.0009985312,0.0014887709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063588656,0.00041065514,0.001066257,0.0014854472,0.0014871086,0.0046688016,0.001921495,0.002294831,0.005372326],"category_scores_gemma":[0.045824368,0.00060592295,0.0007156105,0.0007768099,0.007684567,0.009223634,0.0030243695,0.0030858829,0.0003327251],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031702988,0.000015655909,0.00037587533,0.000028587177,0.000013890673,0.000051733106,0.00029434176,0.0041506747,0.00031963055,0.9900656,0.0004930491,0.0041591567],"study_design_scores_gemma":[0.00001943229,0.000014801363,0.00036670762,0.000016712267,0.000009234646,0.00006750316,0.00013578021,0.01887801,0.00009278136,0.9797452,0.0006409251,0.000012772259],"about_ca_topic_score_codex":0.0011163779,"about_ca_topic_score_gemma":0.0006386008,"teacher_disagreement_score":0.0063588656,"about_ca_system_score_codex":0.0014299838,"about_ca_system_score_gemma":0.0007142288,"threshold_uncertainty_score":0.0336293},"labels":[],"label_agreement":null},{"id":"W2127225337","doi":"10.1016/j.jtbi.2007.11.032","title":"Explicitly accounting for antiretroviral drug uptake in theoretical HIV models predicts long-term failure of protease-only therapy","year":2007,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Dosing; Protease; Drug; Protease inhibitor (pharmacology); Antiretroviral therapy; Reverse-transcriptase inhibitor; Human immunodeficiency virus (HIV); Medicine; Pharmacology; Biology; Viral load; Virology; Enzyme","score_opus":0.014631584422171131,"score_gpt":0.28988302438223745,"score_spread":0.27525143996006635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127225337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8950549,0.00085429073,0.06526833,0.013078466,0.0002562948,0.00006981817,0.0007216229,0.00038194918,0.024314467],"genre_scores_gemma":[0.99441576,0.00019002234,0.001061215,0.00020488768,0.000074678785,0.000021509026,0.00007457452,0.00004082451,0.00391659],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990301,0.00035989349,0.00003922905,0.00011139798,0.00008180459,0.00037757543],"domain_scores_gemma":[0.989679,0.0070078583,0.0013890587,0.00058429624,0.00056080054,0.00077899365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027504365,0.0011878886,0.0018544518,0.0009977967,0.0013229608,0.0031105648,0.003050837,0.00434608,0.005874393],"category_scores_gemma":[0.014498796,0.0010234002,0.0014320571,0.00088933355,0.0017944342,0.0051854705,0.0017203056,0.003180746,0.0006535274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025267203,0.0002129222,0.015096222,0.00009634938,0.00014053515,0.001070656,0.00034686123,0.7946685,0.0008376694,0.17842233,0.0021801495,0.0066751847],"study_design_scores_gemma":[0.000047116486,0.000062725565,0.0018733111,0.000016825008,0.000053307802,0.00017874355,0.00010844519,0.91709447,0.00016278852,0.079951,0.00041951393,0.000031690906],"about_ca_topic_score_codex":0.013777095,"about_ca_topic_score_gemma":0.010180934,"teacher_disagreement_score":0.013777095,"about_ca_system_score_codex":0.0022652217,"about_ca_system_score_gemma":0.0018465258,"threshold_uncertainty_score":0.027393818},"labels":[],"label_agreement":null},{"id":"W2127854448","doi":"10.1016/j.jtbi.2014.06.040","title":"Environmental evolutionary graph theory","year":2014,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Population; Homogeneous; Graph; Vertex (graph theory); Fixation (population genetics); Computer science; Evolutionary biology; Biology; Population structure; Ecology; Theoretical computer science; Mathematics; Combinatorics; Demography","score_opus":0.00558128602488824,"score_gpt":0.25708842567376866,"score_spread":0.25150713964888044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127854448","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09341709,0.0020194915,0.64887863,0.007195416,0.00041438278,0.000081078804,0.00065811636,0.0002540788,0.24708174],"genre_scores_gemma":[0.87571317,0.002354601,0.056716677,0.0009481072,0.00027997544,0.00011295559,0.00072782836,0.00017579261,0.062970914],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997588,0.000098998426,0.0000060124853,0.00005712403,0.00005240361,0.000026745907],"domain_scores_gemma":[0.9988508,0.0006424519,0.00007390406,0.00014208205,0.00017426911,0.000116384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038981152,0.0003731754,0.00039071558,0.0013668056,0.00084997626,0.0014953868,0.0007592342,0.0009296187,0.013241051],"category_scores_gemma":[0.0029335623,0.00021726624,0.00048375683,0.001458027,0.0010964292,0.0022344422,0.0010455129,0.0013779667,0.0011124939],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035127764,0.000009175242,0.00028503194,0.000020043535,0.00001070531,0.000027596183,0.000055283843,0.00646134,0.0001130296,0.9818357,0.0025040996,0.008674565],"study_design_scores_gemma":[0.0000036262245,0.000003399221,0.0002856448,0.0000098155815,0.000007758332,0.000040538675,0.00004727615,0.017138174,0.00007730425,0.9741228,0.008259895,0.0000037959587],"about_ca_topic_score_codex":0.0015629668,"about_ca_topic_score_gemma":0.0014505631,"teacher_disagreement_score":0.013241051,"about_ca_system_score_codex":0.00071982347,"about_ca_system_score_gemma":0.00042591584,"threshold_uncertainty_score":0.04429573},"labels":[],"label_agreement":null},{"id":"W2128214362","doi":"10.1016/j.jtbi.2008.06.028","title":"Collective decision-making and behavioral polymorphism in group living organisms","year":2008,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Foraging; Homogeneous; Group decision-making; Biology; Ecology; Social psychology; Group (periodic table); Evolutionary biology; Zoology; Psychology; Statistical physics; Physics","score_opus":0.027563157194543213,"score_gpt":0.25326300114815514,"score_spread":0.22569984395361192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128214362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993556,0.000012411768,0.0003746468,0.000020855814,9.673382e-7,0.0000011360015,0.000006038776,0.0000021039632,0.00022635047],"genre_scores_gemma":[0.9995915,0.0000051788893,0.00031444372,0.0000062115864,0.0000015006457,0.0000028377865,0.0000100728075,0.0000017076015,0.00006647927],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999503,0.00024217479,0.000022795051,0.00008920131,0.000069249654,0.00007367011],"domain_scores_gemma":[0.994576,0.0035394274,0.00079682964,0.00049057364,0.00015128836,0.00044582508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010804192,0.00014916241,0.00043661232,0.0005721137,0.0004161161,0.0009070595,0.00035903565,0.0006604283,0.0013666794],"category_scores_gemma":[0.0057062777,0.0002023425,0.00024165613,0.00040088673,0.0011687853,0.00045144727,0.0006593111,0.00065305084,0.000099313314],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017469914,0.00095887133,0.82427233,0.00017462728,0.00058971177,0.0005765963,0.0040947814,0.016262768,0.09171993,0.013634854,0.00043016538,0.04553831],"study_design_scores_gemma":[0.000106383246,0.00042502457,0.9391147,0.000014380267,0.00010645824,0.0006255651,0.0015367636,0.027223278,0.0021376736,0.028404547,0.000257147,0.00004814979],"about_ca_topic_score_codex":0.00074249686,"about_ca_topic_score_gemma":0.0010961054,"teacher_disagreement_score":0.0013666794,"about_ca_system_score_codex":0.0002307178,"about_ca_system_score_gemma":0.0002111881,"threshold_uncertainty_score":0.00571388},"labels":[],"label_agreement":null},{"id":"W2128289824","doi":"10.1016/j.jtbi.2014.04.005","title":"Who mixes with whom among men who have sex with men? Implications for modelling the HIV epidemic in southern India","year":2014,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de Santé Publique du Québec; Université Laval; Centre hospitalier universitaire de Québec; University of Manitoba","funders":"Medical Research Council; Wellcome Trust; Wellcome","keywords":"Men who have sex with men; Mixing (physics); Demography; Human immunodeficiency virus (HIV); Geography; Identity (music); Mixing patterns; Psychology; Biology; Sociology; Virology; Physics","score_opus":0.016417118740722512,"score_gpt":0.3161943255345062,"score_spread":0.2997772067937837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128289824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9667046,0.0005301464,0.020866249,0.00255434,0.000049012906,0.00019460444,0.0014316092,0.00015658543,0.007512969],"genre_scores_gemma":[0.992351,0.00028276726,0.0041624047,0.00015812175,0.000017295462,0.00009635738,0.00030121952,0.000016653104,0.0026142567],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999092,0.0005120811,0.000033416076,0.000121903584,0.000042223557,0.00019828141],"domain_scores_gemma":[0.9971571,0.0020424079,0.00032845026,0.00011009787,0.0001638343,0.00019814556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021782885,0.0007097655,0.00095479493,0.00095016265,0.0008082234,0.0031465443,0.0017460414,0.0014626768,0.002557745],"category_scores_gemma":[0.006441751,0.0006389,0.0015713823,0.0010961969,0.0015905336,0.0010566163,0.0015334914,0.0011889639,0.00032570277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022963289,0.000097467186,0.071844146,0.00008016852,0.00012657957,0.00047109879,0.0012307091,0.9083661,0.00052968826,0.012941103,0.00082659244,0.0032566818],"study_design_scores_gemma":[0.000046765523,0.000095490694,0.013978529,0.000042227664,0.000098728815,0.00016731718,0.0014693663,0.97460407,0.00011500189,0.008064889,0.001256244,0.00006134849],"about_ca_topic_score_codex":0.15997866,"about_ca_topic_score_gemma":0.08738626,"teacher_disagreement_score":0.15997866,"about_ca_system_score_codex":0.002905501,"about_ca_system_score_gemma":0.002190981,"threshold_uncertainty_score":0.31809497},"labels":[],"label_agreement":null},{"id":"W2128405317","doi":"10.1006/jtbi.2000.2288","title":"Direction Reversal of Fluctuation-induced Biased Brownian Motion on Distorted Ratchets","year":2001,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"stochastic dynamics and bifurcation","field":"Physics and Astronomy","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ratchet; Physics; Brownian motion; Asymmetry; Classical mechanics; Nonlinear system; Distortion (music); Movement (music); Mechanics; Work (physics); Quantum mechanics","score_opus":0.010458574177420995,"score_gpt":0.2640965995055709,"score_spread":0.2536380253281499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128405317","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.956256,0.00026818807,0.036425006,0.00028138747,0.00016930774,0.00003371403,0.00004859128,0.00010468905,0.0064132176],"genre_scores_gemma":[0.9953086,0.00011698555,0.0022267618,0.00004299486,0.00004021432,0.00001176705,0.000036563215,0.000025383473,0.0021908074],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997873,0.000055796067,0.000010125127,0.000028910255,0.00006947708,0.000048446516],"domain_scores_gemma":[0.9990283,0.00021377821,0.0001761286,0.00011147855,0.00018018814,0.0002900421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044030667,0.00038069318,0.0006189239,0.0008567921,0.0005480395,0.00116425,0.000782979,0.00084683154,0.0022743118],"category_scores_gemma":[0.0022591078,0.00032022744,0.00038516204,0.00029909264,0.00097102224,0.00091675995,0.00087317097,0.00064765714,0.00030428794],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094213395,0.00024705977,0.0033672496,0.00017020166,0.00010160977,0.0012403596,0.00040163763,0.12433681,0.17107967,0.6774341,0.0021762182,0.018503001],"study_design_scores_gemma":[0.00008525647,0.00025409713,0.0031712002,0.000012616629,0.000018776076,0.00039780067,0.00007447458,0.8814858,0.0080413995,0.10555198,0.00081031385,0.000096238575],"about_ca_topic_score_codex":0.0007147398,"about_ca_topic_score_gemma":0.00052122725,"teacher_disagreement_score":0.0022743118,"about_ca_system_score_codex":0.0005597256,"about_ca_system_score_gemma":0.00034351,"threshold_uncertainty_score":0.0076082945},"labels":[],"label_agreement":null},{"id":"W2128473551","doi":"10.1016/j.jtbi.2009.03.020","title":"Bayesian approximations and extensions: Optimal decisions for small brains and possibly big ones too","year":2009,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Bayesian probability; Robustness (evolution); Approximations of π; Bayesian network; Machine learning; Artificial intelligence; Computation; Bayesian inference; Binary number; Mathematical optimization; Algorithm; Mathematics; Applied mathematics","score_opus":0.0332702902141162,"score_gpt":0.27266130677582756,"score_spread":0.23939101656171136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128473551","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03144663,0.0024185102,0.9515063,0.0058517037,0.0002100688,0.00006560063,0.00016812653,0.0001768749,0.008156232],"genre_scores_gemma":[0.5301592,0.0030937917,0.44922176,0.001756767,0.0011745329,0.00039009083,0.0004422227,0.00030968394,0.013451988],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99632096,0.0023672516,0.00012710705,0.00059431925,0.00032718576,0.00026315777],"domain_scores_gemma":[0.9432122,0.052241575,0.0010190727,0.0017559308,0.0009779958,0.00079320936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01248191,0.0012209738,0.0028898641,0.0011714998,0.0011928657,0.0038874757,0.0031251917,0.004273872,0.0074311714],"category_scores_gemma":[0.07675427,0.0018184842,0.0014668627,0.0017261681,0.0038715897,0.011520187,0.0026928345,0.007026824,0.00074096414],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038690743,0.0001550798,0.0010854721,0.0003028718,0.00011990738,0.00014400075,0.00041169825,0.29446492,0.00024433454,0.6280246,0.011985457,0.06267489],"study_design_scores_gemma":[0.000036590878,0.000016495758,0.00014897155,0.00003650893,0.000016845797,0.00002753209,0.00003813095,0.3187249,0.00006392551,0.6798966,0.0009729677,0.000020546988],"about_ca_topic_score_codex":0.005269953,"about_ca_topic_score_gemma":0.0057608443,"teacher_disagreement_score":0.01248191,"about_ca_system_score_codex":0.002384465,"about_ca_system_score_gemma":0.0019185607,"threshold_uncertainty_score":0.06601143},"labels":[],"label_agreement":null},{"id":"W2130806388","doi":"10.1016/j.jtbi.2009.04.022","title":"Independent contrasts and regression through the origin","year":2009,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Statistics; Mathematics; Permutation (music); Regression diagnostic; Regression analysis; Regression; Contrast (vision); Linear regression; Parametric statistics; Resampling; Polynomial regression; Computer science; Artificial intelligence","score_opus":0.009249496571867213,"score_gpt":0.2675148981792706,"score_spread":0.2582654016074034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130806388","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10631195,0.0006150299,0.88513196,0.0004364995,0.00035203627,0.0001605511,0.00046303825,0.0015336873,0.0049952627],"genre_scores_gemma":[0.5963974,0.00045811106,0.37261721,0.0002528416,0.0003699319,0.0008890511,0.0010549359,0.0025002656,0.02546029],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.96952415,0.01997118,0.00063708395,0.0074355192,0.0012159199,0.0012162474],"domain_scores_gemma":[0.80588084,0.16978142,0.0040110657,0.014494681,0.004637189,0.0011947555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03239068,0.0022971805,0.002785916,0.0030768497,0.0016787587,0.002574866,0.005344736,0.0024148985,0.012302189],"category_scores_gemma":[0.12018358,0.00158785,0.003911112,0.0027161296,0.004695809,0.0062050577,0.002585279,0.0057061506,0.0026877325],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.012892511,0.0012147884,0.057808764,0.0010317236,0.0044074305,0.0029138702,0.006303913,0.06072492,0.016404083,0.4214164,0.01094794,0.40393364],"study_design_scores_gemma":[0.0009632463,0.0016157808,0.059050787,0.00027859965,0.0018993556,0.0024919114,0.001353294,0.44414073,0.014452897,0.4509712,0.022284003,0.0004981026],"about_ca_topic_score_codex":0.004840914,"about_ca_topic_score_gemma":0.0033893,"teacher_disagreement_score":0.03239068,"about_ca_system_score_codex":0.0012532651,"about_ca_system_score_gemma":0.0017987431,"threshold_uncertainty_score":0.17130035},"labels":[],"label_agreement":null},{"id":"W2131965333","doi":"10.1016/j.jtbi.2007.03.003","title":"Weak trophic interactions and the balance of enriched metacommunities","year":2007,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Trophic level; Balance (ability); Ecology; Biology; Neuroscience","score_opus":0.00665725799811381,"score_gpt":0.2627242497087557,"score_spread":0.2560669917106419,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131965333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979195,0.0000651181,0.0012201695,0.00007893928,0.0000039111947,0.0000010509964,0.000014087546,0.0000057391135,0.00069147255],"genre_scores_gemma":[0.9994455,0.000017235523,0.000308513,0.00001991111,0.000004657505,0.0000015323577,0.0000129421915,0.0000028050565,0.00018690749],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979657,0.000043047312,0.000014208148,0.00005039763,0.00003693603,0.000058886642],"domain_scores_gemma":[0.99856275,0.00050562137,0.0003288744,0.00015223937,0.00013247933,0.00031802175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062080444,0.00017182088,0.00035138466,0.00071187253,0.00055982434,0.0010002152,0.00042049366,0.0005636275,0.0026863152],"category_scores_gemma":[0.0033466711,0.0002591214,0.00012710459,0.00023751115,0.0006830267,0.0009582494,0.0013951368,0.00041012382,0.00017183808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020381343,0.00018447617,0.28863597,0.00019022537,0.0005365484,0.00053173763,0.0014867879,0.014101694,0.56145483,0.06201594,0.00095911743,0.06786454],"study_design_scores_gemma":[0.0001439063,0.00057516317,0.67788476,0.000026377966,0.00037308215,0.00097549544,0.0018425039,0.07821376,0.029086582,0.20786193,0.00292056,0.00009592893],"about_ca_topic_score_codex":0.0004228703,"about_ca_topic_score_gemma":0.0009931059,"teacher_disagreement_score":0.0026863152,"about_ca_system_score_codex":0.00023695405,"about_ca_system_score_gemma":0.00016793801,"threshold_uncertainty_score":0.008986652},"labels":[],"label_agreement":null},{"id":"W2132333593","doi":"10.1016/j.jtbi.2010.07.032","title":"A multiscale, spatially distributed model of asthmatic airway hyper-responsiveness","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Inhalation and Respiratory Drug Delivery","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Christie (Canada)","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Hyperelastic material; CrossBridge; Airway; Finite element method; Constitutive equation; Multiscale modeling; Continuum mechanics; Computational model; Elasticity (physics); Parenchyma; Biological system; Mechanics; Computer science; Physics; Biology; Medicine; Simulation; Anatomy; Bioinformatics; Pathology; Muscle contraction","score_opus":0.011043916598801688,"score_gpt":0.2806311534141546,"score_spread":0.26958723681535296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132333593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49663016,0.0019738197,0.4438693,0.010673188,0.00075512787,0.0001150687,0.00090083666,0.0007327488,0.04434974],"genre_scores_gemma":[0.9854893,0.00031721368,0.005046424,0.000278754,0.00017102913,0.000051058774,0.000078828525,0.000048891066,0.008518399],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996903,0.000090740265,0.000014407258,0.00007995561,0.000060007864,0.000064586406],"domain_scores_gemma":[0.99922967,0.0003183996,0.00012460315,0.000049758553,0.00012221071,0.00015535044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005749821,0.0007197545,0.0013766682,0.00062839943,0.0006098816,0.0016041786,0.002206907,0.003722655,0.003153738],"category_scores_gemma":[0.0023122062,0.00085212855,0.0010973634,0.00045835288,0.0017173463,0.0015704184,0.001368467,0.0014170241,0.00040087962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006960763,0.00009043108,0.0011274958,0.000050047016,0.000061579434,0.000373775,0.000093769544,0.9125012,0.004991408,0.077664934,0.0010596494,0.001916112],"study_design_scores_gemma":[0.000019798617,0.000013778258,0.00033985628,0.0000025844179,0.000010673832,0.000034809476,0.000012015571,0.993112,0.000051127794,0.0062673353,0.00012485683,0.000011206624],"about_ca_topic_score_codex":0.0107314065,"about_ca_topic_score_gemma":0.004599689,"teacher_disagreement_score":0.0107314065,"about_ca_system_score_codex":0.0011271621,"about_ca_system_score_gemma":0.00091076695,"threshold_uncertainty_score":0.021337867},"labels":[],"label_agreement":null},{"id":"W2132593060","doi":"10.1016/j.jtbi.2010.06.022","title":"Nutrient flows between ecosystems can destabilize simple food chains","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; James S. McDonnell Foundation","keywords":"Ecosystem; Metacommunity; Trophic level; Ecology; Nutrient; Biological dispersal; Environmental science; Alternative stable state; Food chain; Spatial heterogeneity; Ecosystem model; Biology; Population","score_opus":0.011377364165933134,"score_gpt":0.25861923647961704,"score_spread":0.2472418723136839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132593060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891234,0.000053724638,0.006229669,0.00036056017,0.000034609948,0.000010342219,0.000045726276,0.000043102198,0.0040987385],"genre_scores_gemma":[0.9989957,0.000050575043,0.00050962373,0.00003746662,0.000008110363,0.0000060701364,0.00001575208,0.0000053216104,0.0003712779],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998307,0.0000421992,0.000012157601,0.000033626206,0.000030690095,0.000050611234],"domain_scores_gemma":[0.9970066,0.0013306038,0.00068950024,0.00034713326,0.00018393171,0.00044226597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061899767,0.00021635646,0.00025404786,0.0010395146,0.0008301649,0.001180585,0.00038115671,0.0008028617,0.003809536],"category_scores_gemma":[0.00501535,0.0003153001,0.00039581055,0.00044213017,0.0013620666,0.002046792,0.0019033651,0.00055647275,0.00021883362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001293657,0.00041802975,0.10032222,0.0004370861,0.0005818054,0.0026508246,0.001637302,0.23820688,0.050855882,0.55548555,0.0049746167,0.043136146],"study_design_scores_gemma":[0.00012836621,0.00018571335,0.045005724,0.000047044206,0.00014751124,0.0004558142,0.0013552047,0.19297524,0.0036437712,0.7525808,0.003410975,0.00006387544],"about_ca_topic_score_codex":0.0009102556,"about_ca_topic_score_gemma":0.0014632285,"teacher_disagreement_score":0.003809536,"about_ca_system_score_codex":0.0006561489,"about_ca_system_score_gemma":0.00034672942,"threshold_uncertainty_score":0.012744188},"labels":[],"label_agreement":null},{"id":"W2136125782","doi":"10.1016/j.jtbi.2012.06.024","title":"The effects of facilitation and competition on group foraging in patches","year":2012,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute of General Medical Sciences; National Institutes of Health","keywords":"Foraging; Social facilitation; Facilitation; Competition (biology); Context (archaeology); Optimal foraging theory; Intraspecific competition; Ideal free distribution; Group (periodic table); Ecology; Biology; Microeconomics; Economics; Psychology; Cognitive psychology","score_opus":0.007450102196214723,"score_gpt":0.2856617505455088,"score_spread":0.27821164834929407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136125782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99653447,0.0001285456,0.00047367797,0.0001296555,0.0000049843866,0.0000030010247,0.000009103636,0.0000032988107,0.0027132188],"genre_scores_gemma":[0.99964714,0.000034088138,0.00013412675,0.000014928719,0.0000047660837,0.0000022942081,0.0000026192936,0.000002454753,0.00015750517],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995012,0.00024830544,0.000018863966,0.000062535604,0.00004957146,0.00011950637],"domain_scores_gemma":[0.9827073,0.014383051,0.00073431735,0.00059332006,0.00031460216,0.001267357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016949349,0.0002484458,0.00068135327,0.00039155455,0.0008751875,0.0011595031,0.00061665324,0.0013086088,0.004752407],"category_scores_gemma":[0.011617702,0.00033200203,0.00034183037,0.00023718391,0.002155213,0.0013019542,0.0012823102,0.0006457573,0.00019305001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.017846314,0.0034115762,0.4197768,0.0015197508,0.0010993715,0.005175546,0.0062510204,0.09083605,0.1896589,0.14051123,0.004094735,0.11981869],"study_design_scores_gemma":[0.00088854315,0.0019987198,0.81803375,0.000070092334,0.0007124157,0.0016259551,0.0035825896,0.062188994,0.0028739353,0.1059928,0.0018727065,0.00015949087],"about_ca_topic_score_codex":0.002629097,"about_ca_topic_score_gemma":0.0066272486,"teacher_disagreement_score":0.004752407,"about_ca_system_score_codex":0.00069386954,"about_ca_system_score_gemma":0.00039832733,"threshold_uncertainty_score":0.015898347},"labels":[],"label_agreement":null},{"id":"W2136193836","doi":"10.1016/j.jtbi.2012.09.037","title":"Predicting the HIV/AIDS epidemic and measuring the effect of mobility in mainland China","year":2012,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":68,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Ottawa","funders":"Fundamental Research Funds for the Central Universities; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Mitacs; National Natural Science Foundation of China","keywords":"Demography; Mainland China; Geographic mobility; Population; Residence; China; Transmission (telecommunications); Basic reproduction number; Medicine; Environmental health; Geography; Computer science","score_opus":0.012888206975296702,"score_gpt":0.32651015858383703,"score_spread":0.31362195160854034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136193836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99950325,0.000032626765,0.0001247782,0.00007408631,0.0000029617968,0.0000054461443,0.000056629888,0.0000035548983,0.00019657718],"genre_scores_gemma":[0.9997249,0.000030555024,0.00010137477,0.0000066521598,0.0000022919046,0.000004763565,0.00007244389,5.5872397e-7,0.000056457466],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909735,0.00046362012,0.00003654181,0.00014077118,0.000058392314,0.00020340299],"domain_scores_gemma":[0.9976497,0.0011887985,0.00032588237,0.00015217984,0.0002060083,0.00047744627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022071041,0.0008350048,0.00051638746,0.001076871,0.00088714116,0.0010204483,0.00084300694,0.0006368892,0.00086889864],"category_scores_gemma":[0.005172114,0.0003171137,0.0007463017,0.0011788314,0.00083285366,0.0011024646,0.0010477728,0.00068209553,0.00011348007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009850302,0.0001363871,0.9866692,0.000011552035,0.00010683341,0.00004455875,0.0002643792,0.008333147,0.00012065747,0.00022527642,0.0001058194,0.0038835953],"study_design_scores_gemma":[0.000015409192,0.00024179938,0.9353376,0.000016644251,0.0001197342,0.000015468115,0.0012450079,0.06207801,0.00019605336,0.0005685829,0.00015009285,0.000015620773],"about_ca_topic_score_codex":0.13930216,"about_ca_topic_score_gemma":0.13202949,"teacher_disagreement_score":0.13930216,"about_ca_system_score_codex":0.001875606,"about_ca_system_score_gemma":0.0025304107,"threshold_uncertainty_score":0.27698267},"labels":[],"label_agreement":null},{"id":"W2136714512","doi":"10.1016/j.jtbi.2003.11.014","title":"Simulating the SARS outbreak in Beijing with limited data","year":2003,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":194,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; National Natural Science Foundation of China; Dalhousie University; University of Miami","keywords":"Suspect; Outbreak; Beijing; Compartment (ship); Basic reproduction number; Virology; China; Biology; Geography; Medicine; Environmental health; History; Psychology","score_opus":0.24621406137030472,"score_gpt":0.4464500677899936,"score_spread":0.20023600641968886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136714512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944516,0.000104647064,0.0027352318,0.0009119452,0.000026772366,0.000020626636,0.00030454568,0.00004734172,0.0013971722],"genre_scores_gemma":[0.9981516,0.000039828337,0.00096796895,0.00003794822,0.00000966387,0.000019095307,0.00021465225,0.0000071375594,0.0005521252],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994708,0.00027931365,0.000031191725,0.00006998675,0.00004149323,0.000107321044],"domain_scores_gemma":[0.9883745,0.009340185,0.0006814445,0.0004612021,0.0005011781,0.00064136565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022184828,0.00073790376,0.0010264311,0.00072379934,0.0005466916,0.00091483287,0.0018070793,0.0018687191,0.003745764],"category_scores_gemma":[0.014977712,0.00078358396,0.0006825445,0.00087342295,0.001129536,0.0015521033,0.0012762375,0.0014918277,0.00015719206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023484371,0.00008833615,0.0071916133,0.000019026904,0.00003168667,0.00013244194,0.000038586903,0.98942006,0.00014219587,0.0013539813,0.0002780401,0.0010692319],"study_design_scores_gemma":[0.00009214959,0.000056353398,0.0016157589,0.000003180357,0.000012899673,0.000010582504,0.000042089694,0.9968035,0.000087452485,0.0012169345,0.00005333255,0.0000058770497],"about_ca_topic_score_codex":0.06746335,"about_ca_topic_score_gemma":0.03180432,"teacher_disagreement_score":0.06746335,"about_ca_system_score_codex":0.0022358575,"about_ca_system_score_gemma":0.0014747088,"threshold_uncertainty_score":0.13414133},"labels":[],"label_agreement":null},{"id":"W2136844669","doi":"10.1016/j.jtbi.2010.10.006","title":"A mathematical synthesis of niche and neutral theories in community ecology","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":110,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Niche; Interspecific competition; Ecology; Neutral theory of molecular evolution; Relative abundance distribution; Perspective (graphical); Theoretical ecology; Coexistence theory; Statistical physics; Abundance (ecology); Biology; Relative species abundance; Computer science; Sociology; Physics; Population; Artificial intelligence","score_opus":0.004964048550678493,"score_gpt":0.24999421230716473,"score_spread":0.24503016375648623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136844669","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03399517,0.010244891,0.8864626,0.018656129,0.0006708929,0.000031563093,0.00029951739,0.00012093579,0.049518377],"genre_scores_gemma":[0.80290484,0.013691423,0.16132659,0.0029358824,0.0029862055,0.00027792892,0.0002966324,0.00016300638,0.015417453],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99863285,0.00078834617,0.000082387625,0.00009817317,0.00030694762,0.00009131532],"domain_scores_gemma":[0.98908967,0.008945323,0.00045644748,0.0005715636,0.00067231344,0.00026473493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061365445,0.0007510512,0.0010605479,0.0022483808,0.0012013413,0.003365125,0.0027411412,0.0020338788,0.0070969993],"category_scores_gemma":[0.016806278,0.00044401136,0.0014440219,0.0020496605,0.0038564662,0.008772974,0.002222895,0.002588014,0.00062508153],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020946638,0.000004672078,0.00005510797,0.000033124164,0.0000057979437,0.000008622474,0.000041946925,0.0027646888,0.000026623147,0.9946301,0.0004781808,0.0019489832],"study_design_scores_gemma":[0.0000031038628,0.000003912642,0.00005587244,0.000015781397,0.00000513835,0.00001811976,0.00002111891,0.012911986,0.000010646664,0.98550737,0.0014427333,0.0000042043507],"about_ca_topic_score_codex":0.0011996935,"about_ca_topic_score_gemma":0.0012080058,"teacher_disagreement_score":0.0070969993,"about_ca_system_score_codex":0.0020107084,"about_ca_system_score_gemma":0.0013483912,"threshold_uncertainty_score":0.032453597},"labels":[],"label_agreement":null},{"id":"W2137470819","doi":"10.1006/jtbi.2001.2380","title":"A Bit of Sex Stabilizes Host–Parasite Dynamics","year":2001,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Population; Sexual reproduction; Reproduction; Asexual reproduction; Biology; Host (biology); Dynamics (music); Chaotic; Ecology; Demography; Physics; Computer science","score_opus":0.004581864104101351,"score_gpt":0.26849968621877585,"score_spread":0.2639178221146745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137470819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.920205,0.0004376228,0.05747607,0.0058288,0.00061620935,0.000022394823,0.00010891704,0.0006737645,0.014631274],"genre_scores_gemma":[0.995195,0.000068310794,0.0016048409,0.0004208163,0.000072798546,0.000007770149,0.000018946948,0.000055746626,0.0025558057],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996629,0.00011042961,0.000019776347,0.00007032057,0.000068728354,0.00006786755],"domain_scores_gemma":[0.99715686,0.0008552041,0.0002784497,0.0010518307,0.00025465983,0.00040310735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008231072,0.00024377821,0.00061496324,0.00033565145,0.0007315027,0.001106906,0.00042979725,0.0010089913,0.009111687],"category_scores_gemma":[0.0059406976,0.00025778462,0.00032150856,0.00019107843,0.0018267671,0.0023957072,0.0014697453,0.0011586678,0.0009776265],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017087776,0.00033025842,0.019820865,0.00041196312,0.00042209364,0.0009930267,0.0010874297,0.03160869,0.33136138,0.5174664,0.0076083774,0.08718068],"study_design_scores_gemma":[0.00023054132,0.0011473355,0.019174997,0.000065203785,0.00020908972,0.0013086323,0.001212182,0.12426757,0.06051681,0.77782905,0.013882753,0.00015583579],"about_ca_topic_score_codex":0.00010401269,"about_ca_topic_score_gemma":0.00018938522,"teacher_disagreement_score":0.009111687,"about_ca_system_score_codex":0.00034495446,"about_ca_system_score_gemma":0.00033314567,"threshold_uncertainty_score":0.030481577},"labels":[],"label_agreement":null},{"id":"W2137951928","doi":"10.1016/j.jtbi.2008.05.029","title":"Biphasic growth in fish I: Theoretical foundations","year":2008,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":153,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Natural Resources and Forestry; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Natural Resources","keywords":"Salvelinus; Gonad; Trout; Fish <Actinopterygii>; Biology; Growth model; Somatic cell; Mathematics; Reproduction; Bioenergetics; Body weight; Applied mathematics; Mathematical economics; Ecology; Statistics; Econometrics; Fishery; Genetics; Anatomy","score_opus":0.009961900572054415,"score_gpt":0.24605110078431672,"score_spread":0.2360892002122623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137951928","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21919534,0.020226546,0.606614,0.024679542,0.00096808065,0.00011795222,0.00051213196,0.0003367791,0.12734966],"genre_scores_gemma":[0.95577186,0.0050799125,0.030071996,0.0012530995,0.0009728437,0.00017938811,0.00008986284,0.00009212522,0.0064889234],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99947006,0.00018503988,0.00002903241,0.00012612644,0.000082010316,0.00010780916],"domain_scores_gemma":[0.9922651,0.006158158,0.0006334849,0.00028397288,0.0003662828,0.00029307988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002644749,0.0006884817,0.0010153252,0.001493143,0.00091313076,0.0019731554,0.002220992,0.0025505277,0.0061009815],"category_scores_gemma":[0.010223481,0.00065239484,0.0011403592,0.0014170368,0.0065746275,0.0032948002,0.0020387685,0.0026782001,0.0006315444],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011691597,0.000019351775,0.0011793689,0.000071412236,0.000008357153,0.000058946604,0.00026715753,0.007426732,0.00024925108,0.98607856,0.00064284564,0.00398638],"study_design_scores_gemma":[0.000013077128,0.000011679022,0.000813348,0.00002713026,0.0000069646107,0.000066663495,0.0001020672,0.031186178,0.000048573245,0.9665908,0.001119356,0.000014137899],"about_ca_topic_score_codex":0.004987279,"about_ca_topic_score_gemma":0.0023333835,"teacher_disagreement_score":0.0061009815,"about_ca_system_score_codex":0.0023259383,"about_ca_system_score_gemma":0.001621329,"threshold_uncertainty_score":0.020409822},"labels":[],"label_agreement":null},{"id":"W2138073733","doi":"10.1016/j.jtbi.2004.06.003","title":"Effects of neighbourhood size and connectivity on the spatial Continuous Prisoner's Dilemma","year":2004,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":168,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Neighbourhood (mathematics); Prisoner's dilemma; Dilemma; Computer science; Mathematics; Topology (electrical circuits); Combinatorics","score_opus":0.005019301865823424,"score_gpt":0.2537858602350611,"score_spread":0.2487665583692377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138073733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996748,0.000076826895,0.00059763587,0.00019195178,0.000006262244,0.0000035815415,0.000020071311,0.0000069176062,0.0023487327],"genre_scores_gemma":[0.9996425,0.00002518793,0.00014246655,0.0000075555067,0.0000032257246,0.0000021476812,0.0000048127554,0.0000032863613,0.00016881798],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916613,0.00053821906,0.000026776974,0.00008376512,0.000057616235,0.00012746712],"domain_scores_gemma":[0.93940544,0.05472745,0.00241378,0.00083730393,0.0005922786,0.0020237206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001931175,0.00036633067,0.0006202319,0.00063865277,0.00067437976,0.0013100716,0.00083504815,0.0010000542,0.0067608533],"category_scores_gemma":[0.025988977,0.0003018438,0.00034337002,0.00037421295,0.002007048,0.0020334309,0.0012212553,0.00075897307,0.00020733339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.016208265,0.0028962155,0.2604013,0.00079967454,0.0011735413,0.004921747,0.0051928144,0.4478141,0.039950322,0.16158836,0.005033675,0.054019958],"study_design_scores_gemma":[0.0020678123,0.003957081,0.2944074,0.00014142493,0.0011905557,0.0032970046,0.0055605927,0.4301949,0.0037329826,0.2531047,0.0019917358,0.00035377935],"about_ca_topic_score_codex":0.0026626799,"about_ca_topic_score_gemma":0.0035187907,"teacher_disagreement_score":0.0067608533,"about_ca_system_score_codex":0.00075831404,"about_ca_system_score_gemma":0.00040979104,"threshold_uncertainty_score":0.02261734},"labels":[],"label_agreement":null},{"id":"W2138643436","doi":"10.1016/j.jtbi.2006.07.019","title":"A simplified model for mitochondrial ATP production","year":2006,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":177,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institutes of Health","keywords":"Mitochondrion; Oxidative phosphorylation; Adenosine triphosphate; Chemiosmosis; Glycolysis; ATP synthase; Biochemistry; Cytosol; Inner mitochondrial membrane; NAD+ kinase; Adenosine diphosphate; Biophysics; Chemistry; ATPase; Adenine nucleotide; Cell biology; Biology; Nucleotide; Enzyme; Gene","score_opus":0.01587880146776141,"score_gpt":0.28735743628087096,"score_spread":0.2714786348131095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138643436","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10300293,0.001981114,0.6568578,0.016277555,0.001275478,0.00017418303,0.0026213287,0.0007278241,0.21708186],"genre_scores_gemma":[0.8841007,0.0013953567,0.045976907,0.0013944322,0.00042379313,0.0003812978,0.00060998276,0.00019938832,0.06551816],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997688,0.00007973328,0.00001275241,0.000039819963,0.000058457474,0.00004055008],"domain_scores_gemma":[0.9995739,0.00015925715,0.00003122697,0.00007528172,0.000090993475,0.000069348476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052028365,0.00070292363,0.0012653599,0.0006349903,0.0008175674,0.0014370634,0.0028223672,0.0032484592,0.013468377],"category_scores_gemma":[0.0013542423,0.0003585882,0.0011550714,0.0007854286,0.0011451347,0.0023396704,0.0012294656,0.0014119254,0.0023245995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007641987,0.000052301028,0.00021534924,0.00013853353,0.00003040219,0.0004564891,0.00011420371,0.31966943,0.0025097718,0.667233,0.0043426473,0.0051614814],"study_design_scores_gemma":[0.00006665994,0.00003143401,0.00015437003,0.000018997085,0.00001916243,0.00016926073,0.00004265459,0.7328967,0.0002860511,0.26221254,0.0040749107,0.000027197953],"about_ca_topic_score_codex":0.003369188,"about_ca_topic_score_gemma":0.0015165133,"teacher_disagreement_score":0.013468377,"about_ca_system_score_codex":0.0012441848,"about_ca_system_score_gemma":0.00093881704,"threshold_uncertainty_score":0.045056224},"labels":[],"label_agreement":null},{"id":"W2139586726","doi":"10.1016/j.jtbi.2008.09.019","title":"The role of low avidity T cells in the protection against type 1 diabetes: A modeling investigation","year":2008,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of British Columbia","funders":"Canadian Institutes of Health Research; Health Canada; Mitacs; Canadian Diabetes Association","keywords":"Cytotoxic T cell; Avidity; NOD mice; Antigen-presenting cell; Immunology; T cell; CD8; Biology; Context (archaeology); Major histocompatibility complex; Antigen; Cell biology; Autoimmunity; Immune system; In vitro; Biochemistry","score_opus":0.00792694189439638,"score_gpt":0.21321009154422038,"score_spread":0.205283149649824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139586726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8620038,0.0016513625,0.09757852,0.004498412,0.00015994452,0.000068664645,0.00018494003,0.000099400975,0.03375494],"genre_scores_gemma":[0.9909678,0.00041217278,0.0038812438,0.0001962625,0.000042277286,0.000031568103,0.000018957062,0.000013489431,0.004436176],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999881,0.000052687556,0.0000024443884,0.00001875169,0.000013059492,0.000031852192],"domain_scores_gemma":[0.9994093,0.00038397458,0.000068339665,0.000034912606,0.00003401755,0.00006936582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047664376,0.0005097033,0.0006297271,0.00026332642,0.0003215208,0.00092746137,0.0014301743,0.0011384571,0.0048933956],"category_scores_gemma":[0.0014566969,0.00019641379,0.0005688393,0.00020430109,0.0006538442,0.0014491458,0.00037353698,0.00077311776,0.000376092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064249407,0.00038203003,0.0032181,0.00016463971,0.000041039126,0.0005423986,0.00014527589,0.69103223,0.021337265,0.26808193,0.0017063968,0.01270619],"study_design_scores_gemma":[0.00014885954,0.00029769423,0.00048513163,0.000010144154,0.000033087043,0.0001631594,0.00003766394,0.9210819,0.001110945,0.07565372,0.0009657499,0.000011874396],"about_ca_topic_score_codex":0.0013850307,"about_ca_topic_score_gemma":0.00062304083,"teacher_disagreement_score":0.0048933956,"about_ca_system_score_codex":0.00043171732,"about_ca_system_score_gemma":0.00046924056,"threshold_uncertainty_score":0.016369998},"labels":[],"label_agreement":null},{"id":"W2139597886","doi":"10.1016/j.jtbi.2006.01.010","title":"Scale-free extinction dynamics in spatially structured host–parasitoid systems","year":2006,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"James S. McDonnell Foundation","keywords":"Parasitoid; Host (biology); Extinction (optical mineralogy); Scale (ratio); Statistical physics; Dynamics (music); Ecology; Biology; Biological system; Environmental science; Physics","score_opus":0.0023201021375447535,"score_gpt":0.2271579921995069,"score_spread":0.22483789006196214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139597886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9683008,0.00033986548,0.025900396,0.0010919911,0.000020332835,0.000017444418,0.00006567615,0.00011953018,0.004143901],"genre_scores_gemma":[0.9984713,0.00009390303,0.00079323986,0.000029128498,0.000009076235,0.0000083154555,0.0000177278,0.000008581667,0.0005686901],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978477,0.00006930736,0.000009428483,0.00004093415,0.000036491358,0.000059061313],"domain_scores_gemma":[0.9962656,0.0025116135,0.00051501376,0.00021243548,0.0001773608,0.0003180803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009303976,0.00034741883,0.00083170534,0.0009251513,0.0008404208,0.0014676452,0.0014272002,0.0014721132,0.0023362224],"category_scores_gemma":[0.0064147953,0.00047510306,0.00060381263,0.00042370518,0.002197526,0.0022936328,0.0010392937,0.00083985034,0.0001760797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015525176,0.00014452657,0.014431125,0.00018081316,0.00020552655,0.0011101419,0.0008334207,0.6439744,0.009876853,0.31767148,0.0026279762,0.008788519],"study_design_scores_gemma":[0.00004463073,0.000027029278,0.0048122536,0.000007910632,0.000023586508,0.00017780048,0.00012975922,0.9184721,0.00021701316,0.07585631,0.00020470568,0.00002686345],"about_ca_topic_score_codex":0.0039535384,"about_ca_topic_score_gemma":0.002532649,"teacher_disagreement_score":0.0039535384,"about_ca_system_score_codex":0.0011982174,"about_ca_system_score_gemma":0.00049768575,"threshold_uncertainty_score":0.008693695},"labels":[],"label_agreement":null},{"id":"W2142846524","doi":"10.1006/jtbi.2001.2326","title":"The Size Distribution of Human Hematogenous Metastases","year":2001,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Regional Cancer Foundation","funders":"","keywords":"Log-normal distribution; Gompertz function; Distribution (mathematics); Mathematics; Gamma distribution; Normal distribution; Limit (mathematics); Statistics; Biology; Mathematical analysis","score_opus":0.0072998706894352875,"score_gpt":0.2743015334845908,"score_spread":0.2670016627951555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142846524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99137783,0.0011767833,0.0031023277,0.00014699924,0.0000065146687,0.000006031005,0.00051040505,0.000063530875,0.0036095574],"genre_scores_gemma":[0.99765176,0.0002852091,0.00031079346,0.00001926424,0.000009472036,0.000007845139,0.00038990672,0.000016767528,0.0013089711],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991345,0.00002099585,0.0000035635105,0.000025697682,0.00001931924,0.000016934295],"domain_scores_gemma":[0.9987317,0.0009642005,0.00008982058,0.000043414642,0.00008346067,0.00008750065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020234213,0.0000825365,0.00013336481,0.000711411,0.000110027446,0.0002740661,0.00014459866,0.0002571795,0.0036729365],"category_scores_gemma":[0.0014470271,0.00013122422,0.000100377845,0.00027406847,0.00021921349,0.00023932607,0.00017039297,0.00019565344,0.000500204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023262096,0.00006150571,0.06906352,0.00017251643,0.00008682517,0.0005831204,0.0005010895,0.010352047,0.85799897,0.011269415,0.0016267033,0.045958165],"study_design_scores_gemma":[0.000110977984,0.000790415,0.69929636,0.000019625782,0.00009890346,0.0045863283,0.00042394485,0.04709747,0.22673345,0.011487866,0.009289641,0.000064947766],"about_ca_topic_score_codex":0.00085238955,"about_ca_topic_score_gemma":0.00057221163,"teacher_disagreement_score":0.0036729365,"about_ca_system_score_codex":0.0002090672,"about_ca_system_score_gemma":0.00008309983,"threshold_uncertainty_score":0.01228714},"labels":[],"label_agreement":null},{"id":"W2143162265","doi":"10.1016/j.jtbi.2010.08.031","title":"Cascading extinctions, functional complementarity, and selection in two-trophic-level model communities: A trait-based mechanistic approach","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Ecosystem; Biodiversity; Complementarity (molecular biology); Trophic level; Trait; Ecology; Trophic cascade; Ecological network; Metacommunity; Ecosystem services; Biology; Food web; Environmental resource management; Environmental science; Computer science; Population","score_opus":0.08577350617515651,"score_gpt":0.2699820355992243,"score_spread":0.1842085294240678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143162265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89042825,0.00020063887,0.10282335,0.0010098087,0.000024128783,0.000048270616,0.000082212864,0.00013313502,0.0052502155],"genre_scores_gemma":[0.9945516,0.000098818,0.0036543703,0.00006370145,0.000015269417,0.000030710322,0.000015747679,0.000015094071,0.001554702],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994578,0.00024913406,0.000020642407,0.00009056313,0.000050921608,0.00013106786],"domain_scores_gemma":[0.9965585,0.0018748865,0.0006303827,0.0002663893,0.00023810718,0.00043176662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002641698,0.0007230427,0.0012057263,0.0011073047,0.0012904635,0.0016960244,0.002520393,0.002131943,0.0029119623],"category_scores_gemma":[0.0052390234,0.00064551603,0.0013661439,0.00065662997,0.0022904878,0.0024555589,0.0017927787,0.0010392377,0.00021582385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020226558,0.00021087525,0.015204236,0.00013842019,0.0002947905,0.0006781649,0.00046676645,0.79108256,0.00421619,0.17943493,0.00080013805,0.007270705],"study_design_scores_gemma":[0.000046795354,0.00006313382,0.0033620438,0.000008573235,0.00007091345,0.00017387595,0.00012985527,0.90742177,0.00011541781,0.088427,0.00014670055,0.00003391893],"about_ca_topic_score_codex":0.00719545,"about_ca_topic_score_gemma":0.007786175,"teacher_disagreement_score":0.00719545,"about_ca_system_score_codex":0.0013572708,"about_ca_system_score_gemma":0.00090734736,"threshold_uncertainty_score":0.014307141},"labels":[],"label_agreement":null},{"id":"W2143364083","doi":"10.1016/j.jtbi.2005.11.007","title":"An alternative formulation for a delayed logistic equation","year":2005,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":131,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Logistic function; Ode; Ordinary differential equation; Mathematics; Population; Applied mathematics; Differential equation; Value (mathematics); Logistic regression; Initial value problem; Econometrics; Statistics; Mathematical analysis; Demography","score_opus":0.067089099474266,"score_gpt":0.38550050430720917,"score_spread":0.31841140483294317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143364083","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02074825,0.0013521347,0.93039954,0.015834833,0.002146547,0.00007276593,0.0006069139,0.00008875994,0.028750263],"genre_scores_gemma":[0.50454885,0.0038376835,0.3038835,0.0059698764,0.005509142,0.0004179333,0.00092315936,0.00024215684,0.1746677],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99945885,0.00018128606,0.000044564735,0.00011053908,0.00013304764,0.00007173666],"domain_scores_gemma":[0.99833965,0.00070616376,0.00018051473,0.00013130836,0.0004747882,0.00016763552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001653891,0.0008335555,0.0008875884,0.0010130135,0.0006519532,0.0021808976,0.0029915443,0.0037085968,0.012125583],"category_scores_gemma":[0.0062181824,0.00049850997,0.0013880044,0.0011253163,0.0011755466,0.004111456,0.0017862202,0.0030286182,0.0011717979],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012473441,0.000017206832,0.00035328206,0.00005692745,0.000020952588,0.00017303039,0.000090687,0.01434714,0.0005269669,0.9772724,0.0038030222,0.0033259399],"study_design_scores_gemma":[0.000063329026,0.000032994016,0.0003137555,0.00003374013,0.000038283295,0.00037739114,0.00009190062,0.36386374,0.00019968806,0.6188126,0.016134562,0.000038013277],"about_ca_topic_score_codex":0.0050124573,"about_ca_topic_score_gemma":0.003574778,"teacher_disagreement_score":0.012125583,"about_ca_system_score_codex":0.001665136,"about_ca_system_score_gemma":0.002088474,"threshold_uncertainty_score":0.04056412},"labels":[],"label_agreement":null},{"id":"W2143432670","doi":"10.1016/j.jtbi.2010.03.035","title":"Strategy selection under predation; evolutionary analysis of the emergence of cohesive aggregations","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Selection (genetic algorithm); Predation; Stability (learning theory); Evolutionarily stable strategy; Computer science; Evolutionary biology; Group selection; Evolutionary dynamics; Mechanism (biology); Statistical physics; Ecology; Biology; Mathematics; Artificial intelligence; Physics; Machine learning; Mathematical economics; Population","score_opus":0.01123905472194218,"score_gpt":0.3170337415813292,"score_spread":0.305794686859387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143432670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95017916,0.0002228601,0.046378534,0.00030345007,0.000011289698,0.000020511821,0.000038033864,0.00004770206,0.002798446],"genre_scores_gemma":[0.99706763,0.00006549232,0.0025848465,0.000013943546,0.0000028514592,0.000009280897,0.000011566752,0.00000468792,0.00023971428],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997358,0.00013765978,0.000007299946,0.0000402259,0.000045846806,0.00003314716],"domain_scores_gemma":[0.99861467,0.00078720984,0.00030279404,0.00010534744,0.00007365386,0.00011623548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093128765,0.0002611385,0.00049379136,0.0006787695,0.00056149426,0.0009831726,0.00061370904,0.0006691518,0.0008533432],"category_scores_gemma":[0.00481652,0.00018337199,0.00044191128,0.0004000663,0.0014610034,0.00086518395,0.0006474402,0.0004072191,0.00007067713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007217114,0.000055742847,0.019624889,0.000102132326,0.00012446294,0.00037252807,0.00040332606,0.8857703,0.009954756,0.075577214,0.00040643147,0.007536058],"study_design_scores_gemma":[0.000011642799,0.000063330786,0.0061791795,0.000009559275,0.000019634816,0.00008504697,0.00014429666,0.9613074,0.0004447276,0.031444363,0.00027257187,0.000018309813],"about_ca_topic_score_codex":0.0027471294,"about_ca_topic_score_gemma":0.0017290078,"teacher_disagreement_score":0.0027471294,"about_ca_system_score_codex":0.00071906723,"about_ca_system_score_gemma":0.00038026553,"threshold_uncertainty_score":0.0054622293},"labels":[],"label_agreement":null},{"id":"W2144731487","doi":"10.1016/j.jtbi.2005.01.013","title":"Scaling properties of childhood infectious diseases epidemics before and after mass vaccination in Canada","year":2005,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Measles; Population; Vaccination; Rubella; Outbreak; Scaling; Medicine; Immunology; Virology; Mathematics; Environmental health","score_opus":0.02806714761721785,"score_gpt":0.3132544688132246,"score_spread":0.28518732119600676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144731487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936971,0.00077932666,0.00039576343,0.0013485586,0.000018980418,0.00001903981,0.0014327718,0.000027922166,0.0022805855],"genre_scores_gemma":[0.998145,0.0002081658,0.00009153344,0.000039343046,0.000005300189,0.000004068314,0.000499754,0.000007052003,0.0009997434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991417,0.00008985942,0.00002253571,0.0001235692,0.00014167227,0.00048069694],"domain_scores_gemma":[0.99430436,0.0015169695,0.0006784119,0.00025231205,0.0020903926,0.0011574338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016447962,0.00027341858,0.00067617337,0.0016181082,0.0022567282,0.0024165395,0.0015109363,0.0007219019,0.004417705],"category_scores_gemma":[0.011686641,0.00033638178,0.00070583494,0.002235096,0.0013301831,0.0007225733,0.0008255262,0.0012094232,0.00020207527],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010313829,0.00015511445,0.88584596,0.00012087193,0.00039116744,0.00046224217,0.0055225855,0.046719085,0.0019070072,0.021481803,0.012348684,0.024014035],"study_design_scores_gemma":[0.00003796272,0.00004284421,0.9471563,0.00004150426,0.00008416913,0.00007075493,0.0027214396,0.044264406,0.00031734727,0.0024048684,0.0027860883,0.00007237181],"about_ca_topic_score_codex":0.992679,"about_ca_topic_score_gemma":0.9902345,"teacher_disagreement_score":0.042894196,"about_ca_system_score_codex":0.042894196,"about_ca_system_score_gemma":0.030576918,"threshold_uncertainty_score":0.31122065},"labels":[],"label_agreement":null},{"id":"W2144978314","doi":"10.1016/j.jtbi.2005.08.040","title":"Synergy and discounting of cooperation in social dilemmas","year":2005,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":359,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute of General Medical Sciences","keywords":"Social dilemma; Pairwise comparison; Discounting; Public good; Evolutionary dynamics; Microeconomics; Dilemma; Prisoner's dilemma; Public goods game; Exploit; Evolutionary game theory; Economics; Mutualism (biology); Game theory; Computer science; Ecology; Biology; Sociology; Mathematics; Artificial intelligence; Population; Computer security","score_opus":0.01074341535394832,"score_gpt":0.3139200536360752,"score_spread":0.30317663828212693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144978314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8942116,0.00097149774,0.08003464,0.0018479996,0.00009181273,0.000057427937,0.000073455165,0.00004990848,0.022661593],"genre_scores_gemma":[0.9960334,0.00015262031,0.0029754199,0.000030115669,0.00003680985,0.000012441518,0.000010227714,0.000006325363,0.00074266875],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99732345,0.001605906,0.00017013517,0.0002680748,0.00038009582,0.00025237753],"domain_scores_gemma":[0.9291753,0.059539393,0.004711993,0.002738779,0.00144549,0.0023889833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009088575,0.0005900557,0.0012761792,0.0011281569,0.000633139,0.0029053506,0.0012713064,0.0018671314,0.0036600917],"category_scores_gemma":[0.04808259,0.00073497865,0.000673008,0.00063403934,0.002956439,0.0053776386,0.002011977,0.0025407993,0.00015655246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010783897,0.00027566616,0.0093611255,0.00030224968,0.0002488741,0.0006616577,0.0012342747,0.075241506,0.0036040633,0.8803178,0.0007849123,0.02688944],"study_design_scores_gemma":[0.00009971243,0.00011360713,0.0036667236,0.000026465244,0.000074898206,0.00028232046,0.00023058128,0.071369,0.00023492894,0.92335725,0.00050265074,0.00004192451],"about_ca_topic_score_codex":0.00065528305,"about_ca_topic_score_gemma":0.000886219,"teacher_disagreement_score":0.009088575,"about_ca_system_score_codex":0.0013239565,"about_ca_system_score_gemma":0.0009133536,"threshold_uncertainty_score":0.048065543},"labels":[],"label_agreement":null},{"id":"W2146725453","doi":"10.1016/j.jtbi.2008.05.030","title":"Biphasic growth in fish II: Empirical assessment","year":2008,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":79,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Natural Resources and Forestry; University of Toronto","funders":"","keywords":"Fish <Actinopterygii>; Biology; Fishery; Mathematics; Zoology","score_opus":0.014856103674680383,"score_gpt":0.288002822976078,"score_spread":0.2731467193013976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146725453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98775035,0.0006376279,0.007673746,0.00021063202,0.000017046954,0.000063152016,0.00024398258,0.000048119637,0.0033553701],"genre_scores_gemma":[0.9972023,0.0001673079,0.0016142384,0.00006612837,0.00001640502,0.000035242574,0.00017466693,0.00002386643,0.00069981464],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999005,0.0005026467,0.00006059571,0.00019778353,0.00011911259,0.00011484776],"domain_scores_gemma":[0.9384867,0.05080008,0.0042500906,0.0032954374,0.0015125063,0.0016552843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008079677,0.0007521277,0.0009516716,0.0014086101,0.0005322377,0.0011707235,0.0017076057,0.0011987814,0.008032032],"category_scores_gemma":[0.05535696,0.0005643204,0.0010186401,0.0011802556,0.0028297014,0.0014162132,0.0023385698,0.0013291846,0.0010356732],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006285012,0.0008702294,0.8729122,0.0006285398,0.0004041909,0.0009405328,0.0027195902,0.029414427,0.009121858,0.027738124,0.0015154566,0.047449883],"study_design_scores_gemma":[0.0004302699,0.0015589482,0.72916645,0.00020705126,0.00030694745,0.0020346495,0.0034772034,0.20112035,0.0025074515,0.057175968,0.001846507,0.00016817809],"about_ca_topic_score_codex":0.006016859,"about_ca_topic_score_gemma":0.003246562,"teacher_disagreement_score":0.008079677,"about_ca_system_score_codex":0.0010342037,"about_ca_system_score_gemma":0.00075357937,"threshold_uncertainty_score":0.042729914},"labels":[],"label_agreement":null},{"id":"W2146962291","doi":"10.1016/j.jtbi.2006.05.012","title":"Dynamics, stability and inheritance of somatic DNA methylation imprints","year":2006,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":90,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Leukemia and Lymphoma Society","keywords":"Epigenetics; DNA methylation; Biology; Methylation; CpG site; Epigenetics of physical exercise; Chromatin; Genomic imprinting; Genetics; Gene silencing; Gene; Gene expression","score_opus":0.006555913294153918,"score_gpt":0.2542354285860963,"score_spread":0.2476795152919424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146962291","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98117733,0.0004084682,0.014798036,0.0004823022,0.000018350733,0.000004412693,0.00012837813,0.000084121566,0.0028985015],"genre_scores_gemma":[0.9986285,0.000117529344,0.00061482325,0.0000072471867,0.000010177123,0.0000037175475,0.000039681418,0.000010367828,0.00056813937],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99986434,0.00002043532,0.000005272822,0.000044472403,0.00003388539,0.00003166615],"domain_scores_gemma":[0.9983012,0.0009761157,0.00028624,0.00014258958,0.0001311899,0.00016274862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051836425,0.00013022962,0.00031172714,0.0006725403,0.00038067595,0.0011316588,0.0006008891,0.0004956734,0.0021431046],"category_scores_gemma":[0.0048146597,0.000339295,0.00020159801,0.00037539244,0.0010836115,0.001473416,0.00047755722,0.00059152115,0.00025801625],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007488093,0.0001591413,0.044695925,0.00021974364,0.00012720321,0.0005031462,0.0008189358,0.120288216,0.24973767,0.52880657,0.0025552872,0.051339235],"study_design_scores_gemma":[0.0000739136,0.00016619431,0.046020888,0.000017166238,0.000059843696,0.00060865545,0.00029260226,0.65002,0.044800285,0.25564983,0.0021923606,0.00009828973],"about_ca_topic_score_codex":0.0009110651,"about_ca_topic_score_gemma":0.00061887474,"teacher_disagreement_score":0.0021431046,"about_ca_system_score_codex":0.0007421397,"about_ca_system_score_gemma":0.00034191005,"threshold_uncertainty_score":0.0071694255},"labels":[],"label_agreement":null},{"id":"W2147438634","doi":"10.1016/j.jtbi.2010.09.039","title":"Modelling the effects of adherence to the HIV fusion inhibitor enfuvirtide","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Shanghai Leading Academic Discipline Project; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Enfuvirtide; Dosing; Human immunodeficiency virus (HIV); Antiretroviral therapy; Medicine; Drug; Pharmacology; Internal medicine; Virology; Viral load; Immunology","score_opus":0.008607424910427219,"score_gpt":0.2688404872447749,"score_spread":0.2602330623343477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147438634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98413426,0.0004287156,0.004181489,0.0006783586,0.000068468034,0.00002389043,0.00031136317,0.000042398508,0.010130999],"genre_scores_gemma":[0.9958407,0.0001777992,0.001016063,0.000064035376,0.000014099205,0.00001695109,0.0001228808,0.0000151280865,0.0027322853],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997304,0.000065249595,0.000008789495,0.000027181586,0.00003328202,0.0001350883],"domain_scores_gemma":[0.99821544,0.0012597485,0.00015807341,0.00004746845,0.00015924014,0.00016015119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045083917,0.0007581865,0.0011188206,0.00047879564,0.0006022514,0.0012274565,0.00144779,0.0029642787,0.0038701994],"category_scores_gemma":[0.002432964,0.0005636794,0.0010176508,0.00043444204,0.0009681045,0.00076224084,0.0006991882,0.0015280844,0.00023851512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000109525805,0.00008181572,0.0012043715,0.000033139266,0.000019935005,0.00010002909,0.000024136225,0.9940773,0.0015235612,0.0018716636,0.00018107815,0.00077342795],"study_design_scores_gemma":[0.000025984078,0.000059117356,0.00060226256,0.000004215917,0.000013310599,0.00001055235,0.00003428159,0.9982552,0.0003340521,0.00052706455,0.00012438445,0.000009460978],"about_ca_topic_score_codex":0.07637856,"about_ca_topic_score_gemma":0.027753692,"teacher_disagreement_score":0.07637856,"about_ca_system_score_codex":0.0013090444,"about_ca_system_score_gemma":0.0013762658,"threshold_uncertainty_score":0.15186799},"labels":[],"label_agreement":null},{"id":"W2148489033","doi":"10.1016/j.jtbi.2003.11.011","title":"Emergence of non-random structure in local food webs generated from randomly structured regional webs","year":2003,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Food web; Niche; Extinction (optical mineralogy); Ecology; Species richness; Food chain; Ecosystem; Stability (learning theory); Computer science; Biology","score_opus":0.017227110404745033,"score_gpt":0.2174197859826566,"score_spread":0.20019267557791157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148489033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926509,0.0000551793,0.0064287367,0.00008405385,0.0000070380984,0.00000663704,0.000039079354,0.000045167908,0.0006832165],"genre_scores_gemma":[0.99830663,0.000025637797,0.0013847344,0.0000143523985,0.000004712633,0.000005599337,0.00005099677,0.000014300672,0.00019301489],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984586,0.000059644954,0.0000057798097,0.000037994185,0.000024944798,0.000025843005],"domain_scores_gemma":[0.99593866,0.0023342208,0.0006072393,0.0003660261,0.0003014736,0.00045239113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008056847,0.00017195429,0.00039027169,0.00084194966,0.0004037195,0.0008099739,0.00058112515,0.00057728536,0.001334645],"category_scores_gemma":[0.00620917,0.00044989618,0.0004565787,0.00027550178,0.0008247262,0.0008726502,0.0006542366,0.0006952218,0.00016737243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017607273,0.00062081206,0.17771026,0.00053814164,0.00092491024,0.0047204667,0.0025825046,0.5203031,0.09422161,0.14960805,0.00834115,0.038668245],"study_design_scores_gemma":[0.00018480199,0.00019201454,0.05998085,0.000029291976,0.00009086983,0.0006353487,0.0005069029,0.8957646,0.0023211848,0.03971959,0.0005106933,0.00006379811],"about_ca_topic_score_codex":0.00077843416,"about_ca_topic_score_gemma":0.0014823229,"teacher_disagreement_score":0.001334645,"about_ca_system_score_codex":0.00037467075,"about_ca_system_score_gemma":0.00019644658,"threshold_uncertainty_score":0.004464805},"labels":[],"label_agreement":null},{"id":"W2148499054","doi":"10.1016/j.jtbi.2004.03.026","title":"Netscan: a procedure for generating reaction networks by size","year":2004,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; File Transfer Protocol; Constraint (computer-aided design); Software; Theoretical computer science; Algorithm; Mathematics; Programming language; The Internet; World Wide Web","score_opus":0.005428676607105416,"score_gpt":0.2689913828549424,"score_spread":0.26356270624783695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148499054","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026219552,0.000043664906,0.97292966,0.000068257534,0.000069530935,0.00021288665,0.0022710757,0.020182079,0.001600939],"genre_scores_gemma":[0.043844752,0.00012070858,0.9441983,0.00008170652,0.00003508347,0.001028681,0.0035419487,0.0036306288,0.0035182536],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999313,0.00016624072,0.000057050114,0.00016974715,0.00024197063,0.000052034266],"domain_scores_gemma":[0.9963019,0.0026317774,0.0001268312,0.0004625077,0.00040951226,0.000067432564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017111828,0.0021932109,0.0008748698,0.0025347027,0.0009101758,0.0012891828,0.002192532,0.001149225,0.017627314],"category_scores_gemma":[0.008601752,0.0012355614,0.002758256,0.0012716105,0.00069257966,0.0015158961,0.0014894571,0.0020527802,0.004251471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008377104,0.00023772106,0.003651613,0.0014023458,0.000602233,0.00053052505,0.0003636402,0.4060873,0.020166783,0.107412875,0.054308176,0.40439907],"study_design_scores_gemma":[0.00017549454,0.00004973222,0.0003169388,0.000043562068,0.000132411,0.00014770556,0.00004445753,0.84260094,0.030678513,0.10159944,0.024148148,0.00006275864],"about_ca_topic_score_codex":0.0042135725,"about_ca_topic_score_gemma":0.008219273,"teacher_disagreement_score":0.017627314,"about_ca_system_score_codex":0.00096656044,"about_ca_system_score_gemma":0.002148934,"threshold_uncertainty_score":0.05896926},"labels":[],"label_agreement":null},{"id":"W2148972050","doi":"10.1006/jtbi.2000.2149","title":"Regulation of Platelet Production: The Normal Response to Perturbation and Cyclical Platelet Disease","year":2000,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Platelet Disorders and Treatments","field":"Medicine","cited_by":75,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University","funders":"","keywords":"Platelet; Thrombopoietin; In vivo; Bolus (digestion); Internal medicine; Endocrinology; Chemistry; Biology; Medicine; Cell biology; Haematopoiesis; Biotechnology","score_opus":0.006945151009611958,"score_gpt":0.26309102299303483,"score_spread":0.25614587198342287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148972050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92733413,0.01563492,0.035018303,0.005952654,0.00070831354,0.00015441488,0.0003609751,0.000490257,0.014346046],"genre_scores_gemma":[0.9941222,0.0022784201,0.0019442944,0.00025618932,0.00023693798,0.000054377004,0.0000877687,0.00002349138,0.0009962617],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955326,0.0001448591,0.000023697625,0.00006551367,0.00012555439,0.000087063585],"domain_scores_gemma":[0.9994381,0.00012783553,0.00009699003,0.00010742117,0.00007290688,0.00015672165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004670366,0.00031791316,0.00044220898,0.00043279876,0.0003099597,0.0011204311,0.0005457816,0.0006484709,0.0010270067],"category_scores_gemma":[0.0011954887,0.0002103872,0.00025488026,0.0001717583,0.0013383005,0.0006860822,0.0005865157,0.0007557671,0.00020265259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021441528,0.00015100041,0.0042655035,0.00019037009,0.000030364865,0.00094673,0.00031701717,0.0012448021,0.9388106,0.0207743,0.0013960554,0.029729068],"study_design_scores_gemma":[0.00039063624,0.0045640636,0.15343183,0.00013014063,0.00015654704,0.009299317,0.0011729145,0.054680016,0.64237607,0.10271958,0.030891601,0.00018737266],"about_ca_topic_score_codex":0.00040254358,"about_ca_topic_score_gemma":0.00024138374,"teacher_disagreement_score":0.0011204311,"about_ca_system_score_codex":0.00068606914,"about_ca_system_score_gemma":0.00046236682,"threshold_uncertainty_score":0.0049777627},"labels":[],"label_agreement":null},{"id":"W2149419826","doi":"10.1016/j.jtbi.2012.07.023","title":"Impact of weekday social contact patterns on the modeling of influenza transmission, and determination of the influenza latent period","year":2012,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Public Health Agency of Canada; National Science Foundation","keywords":"Incidence (geometry); Pandemic; Demography; Transmission (telecommunications); Social contact; Medicine; Seasonal influenza; Coronavirus disease 2019 (COVID-19); Statistics; Disease; Computer science; Psychology; Internal medicine; Mathematics; Infectious disease (medical specialty)","score_opus":0.16169461458580464,"score_gpt":0.4348033086345333,"score_spread":0.2731086940487287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149419826","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91412294,0.0005953597,0.0795967,0.0018049601,0.00008087495,0.000040777744,0.0004156891,0.000079310004,0.003263402],"genre_scores_gemma":[0.99447757,0.00021342776,0.002820393,0.000050534683,0.00005194868,0.000033414224,0.00010855467,0.000033994325,0.0022102965],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920005,0.00051735697,0.000025060288,0.00010751076,0.00004179705,0.0001082829],"domain_scores_gemma":[0.9874155,0.0107645895,0.0007852862,0.0002594397,0.00030367405,0.00047153805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002983721,0.0007450013,0.0010516549,0.0007195217,0.0009794207,0.0017775749,0.0018747109,0.0022613239,0.0022353309],"category_scores_gemma":[0.01828404,0.001076911,0.0012478313,0.00054667157,0.0014846723,0.0027988395,0.0012561788,0.0014934288,0.00020668027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013833184,0.00008272044,0.009328247,0.00003286735,0.00007844881,0.00009103797,0.00010472971,0.9765181,0.00052691024,0.011106154,0.0003688091,0.0016236666],"study_design_scores_gemma":[0.000007489729,0.000014659298,0.00089146034,0.0000030002448,0.000011509013,0.000011845788,0.000018637498,0.99673164,0.000047508223,0.002205439,0.000050673087,0.0000061916057],"about_ca_topic_score_codex":0.024409158,"about_ca_topic_score_gemma":0.016758306,"teacher_disagreement_score":0.024409158,"about_ca_system_score_codex":0.0014243089,"about_ca_system_score_gemma":0.0013257855,"threshold_uncertainty_score":0.048534155},"labels":[],"label_agreement":null},{"id":"W2150161402","doi":"10.1016/j.jtbi.2014.03.041","title":"Pregnancy sickness and parent-offspring conflict over thyroid function","year":2014,"lang":"en","type":"review","venue":"Journal of Theoretical Biology","topic":"Thyroid Disorders and Treatments","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Pregnancy; Thyroid; Thyroid function; Endocrinology; Gestation; Human chorionic gonadotropin; Offspring; Hormone; Internal medicine; Biology; Medicine; Genetics","score_opus":0.028168288796208436,"score_gpt":0.345260327093329,"score_spread":0.31709203829712057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150161402","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000082598825,0.9991326,0.0000409882,0.0002758351,0.00009142202,0.000001270554,0.0000051876264,0.000001159278,0.00036888043],"genre_scores_gemma":[0.0010131096,0.99834037,0.0000851616,0.00017108076,0.00016824344,0.000003106007,0.000008946157,4.0883347e-7,0.00020955435],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99983716,0.000046535155,0.000024426792,0.000030675485,0.000045368815,0.00001571214],"domain_scores_gemma":[0.99946064,0.0004052796,0.000052917887,0.0000084668045,0.000050086932,0.00002270065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055429677,0.0006317177,0.0012394293,0.0011736484,0.00026317357,0.0008382174,0.00066724163,0.0014556368,0.0031465834],"category_scores_gemma":[0.0013106188,0.00024985566,0.0003284521,0.0012478117,0.00063332275,0.0008717065,0.0007477788,0.0016148237,0.0006170004],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012512886,0.00008939691,0.0005914789,0.016696773,0.00017680397,0.0003323821,0.00010115885,0.00026569783,0.00045410544,0.0050763558,0.021365453,0.9547252],"study_design_scores_gemma":[0.00008832166,0.00016957945,0.0055469284,0.018540384,0.0006582157,0.0041385368,0.00044270026,0.0002232075,0.00045594032,0.009856082,0.95981693,0.00006321306],"about_ca_topic_score_codex":0.0015953659,"about_ca_topic_score_gemma":0.0036439502,"teacher_disagreement_score":0.0031465834,"about_ca_system_score_codex":0.0006086508,"about_ca_system_score_gemma":0.0012204883,"threshold_uncertainty_score":0.010526359},"labels":[],"label_agreement":null},{"id":"W2154086774","doi":"10.1016/j.jtbi.2005.07.022","title":"Stability of the replicator equation for a single species with a multi-dimensional continuous trait space","year":2005,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Economic and Social Research Council","keywords":"Trait; Replicator equation; Stability (learning theory); Mathematics; Applied mathematics; Quadratic equation; Parameter space; Statistical physics; Mathematical optimization; Computer science; Statistics; Physics; Population","score_opus":0.015940989361945913,"score_gpt":0.2562933408764595,"score_spread":0.2403523515145136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154086774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6044141,0.0018493435,0.36151755,0.0055796257,0.0002777601,0.0001069898,0.00028705184,0.00028032422,0.025687246],"genre_scores_gemma":[0.9790508,0.00041710623,0.011807443,0.00012484663,0.00012567543,0.00007357919,0.00009014724,0.00006820172,0.008242145],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994868,0.00018511835,0.000022752483,0.00010248137,0.0001384072,0.00006432795],"domain_scores_gemma":[0.99553454,0.0029654135,0.0004929839,0.0002403588,0.00047762867,0.0002890686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017495696,0.00068840367,0.0011177362,0.0010978234,0.00090688106,0.0022456495,0.0018307223,0.0021671269,0.0030915076],"category_scores_gemma":[0.009138426,0.0005145886,0.00095858856,0.00052242697,0.0022238395,0.0028428205,0.0018973073,0.001648742,0.0004791127],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030480546,0.00009556471,0.0037271345,0.00018938404,0.00017940014,0.000542709,0.00054813107,0.28615427,0.01853575,0.6774674,0.0018764889,0.010378969],"study_design_scores_gemma":[0.00003682973,0.000034295277,0.0006410493,0.000012747365,0.00001555837,0.00010784035,0.000044183413,0.8840962,0.00050804164,0.11410663,0.00036100106,0.000035575576],"about_ca_topic_score_codex":0.0032883906,"about_ca_topic_score_gemma":0.0010574285,"teacher_disagreement_score":0.0032883906,"about_ca_system_score_codex":0.001458759,"about_ca_system_score_gemma":0.00125951,"threshold_uncertainty_score":0.010584116},"labels":[],"label_agreement":null},{"id":"W2154226156","doi":"10.1016/j.jtbi.2013.08.020","title":"Adaptive responses of energy storage and fish life histories to climatic gradients","year":2013,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Natural Resources and Forestry; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Canadian Natural Resources Limited; Ministry of Natural Resources","keywords":"Salvelinus; Trout; Range (aeronautics); Ecology; Environmental science; Life history theory; Biology; Local adaptation; Adaptation (eye); Climate change; Energy budget; Fish <Actinopterygii>; Life history; Fishery; Demography","score_opus":0.008488631147097856,"score_gpt":0.22040088437014282,"score_spread":0.21191225322304497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154226156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99956185,0.000018491954,0.00014571774,0.000025864952,0.0000010086163,0.0000014085247,0.00003067555,0.0000028923907,0.00021218798],"genre_scores_gemma":[0.999772,0.000012839938,0.00007430324,0.000013082611,0.0000018947362,0.0000026706412,0.000039658946,0.000003289415,0.000080169375],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998611,0.000052436775,0.000009289535,0.000040368457,0.000009643683,0.000027131087],"domain_scores_gemma":[0.9988487,0.0005301256,0.0002532451,0.00011952782,0.000076874945,0.0001714634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005609153,0.0001741877,0.00018021314,0.0003957832,0.0002123149,0.00058926665,0.00031617846,0.00048095005,0.0018831177],"category_scores_gemma":[0.0026475363,0.00029277854,0.00021660807,0.0002599293,0.00052107795,0.00034860792,0.0004940628,0.00043432153,0.00015762342],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012811642,0.00019952407,0.8812535,0.000054127206,0.0003778296,0.00022670768,0.00067257194,0.010140949,0.09312248,0.0010482398,0.00020712387,0.011415811],"study_design_scores_gemma":[0.000015906977,0.000067836925,0.99419963,0.0000018123691,0.000024571296,0.000077852594,0.00015263018,0.0041511883,0.0007604665,0.00046940582,0.000069618305,0.000009122168],"about_ca_topic_score_codex":0.001593444,"about_ca_topic_score_gemma":0.0021023373,"teacher_disagreement_score":0.0018831177,"about_ca_system_score_codex":0.00026798237,"about_ca_system_score_gemma":0.0001333343,"threshold_uncertainty_score":0.0062996745},"labels":[],"label_agreement":null},{"id":"W2155420683","doi":"10.1016/j.jtbi.2014.08.037","title":"Local mate competition and transmission bottlenecks: A new model for understanding malaria parasite and other sex ratios","year":2014,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Parasite Biology and Host Interactions","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Adolescent Medicine Trials Network for HIV/AIDS Interventions; National Science Foundation","keywords":"Sex ratio; Biology; Mating; Competition (biology); Malaria; Parasite hosting; Sex allocation; Population; Transmission (telecommunications); Operational sex ratio; Ecology; Vector (molecular biology); Mating system; Population density; Zoology; Evolutionary biology; Demography; Genetics; Immunology","score_opus":0.02294569430891535,"score_gpt":0.3157224350844878,"score_spread":0.2927767407755724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155420683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49003613,0.0010271891,0.47974584,0.0038770293,0.00023697918,0.00009821244,0.000290643,0.0002439083,0.024444103],"genre_scores_gemma":[0.9637561,0.00046765964,0.024285741,0.00044264246,0.00025851038,0.00013587793,0.00007351304,0.00008071272,0.010499173],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996178,0.00018674211,0.000014099711,0.00007849973,0.000048981754,0.00005393474],"domain_scores_gemma":[0.99816614,0.00096996425,0.0003135483,0.00016969758,0.00011576278,0.00026485982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015300754,0.0005383401,0.0012408461,0.00086593145,0.0006963086,0.0013566292,0.003059051,0.0016762464,0.0072864103],"category_scores_gemma":[0.0044299695,0.00048397752,0.0010776299,0.00054181763,0.0015122406,0.0032660938,0.0011970932,0.0014731789,0.00058830535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021811288,0.0002660304,0.009097611,0.00019762227,0.00022902603,0.00089893735,0.0005592111,0.4395387,0.0070901066,0.51777244,0.0035836564,0.02054857],"study_design_scores_gemma":[0.000077688856,0.00008120545,0.0017259459,0.00000967674,0.0000676796,0.00033746051,0.00011766735,0.82452416,0.00019146202,0.17191073,0.0009227396,0.000033623386],"about_ca_topic_score_codex":0.0018201137,"about_ca_topic_score_gemma":0.0017660948,"teacher_disagreement_score":0.0072864103,"about_ca_system_score_codex":0.0007173561,"about_ca_system_score_gemma":0.00060050923,"threshold_uncertainty_score":0.024375439},"labels":[],"label_agreement":null},{"id":"W215596316","doi":"10.1016/j.jtbi.2015.04.033","title":"Application of quasi-steady state methods to molecular motor transport on microtubules in fungal hyphae","year":2015,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Microtubule and mitosis dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia Hospital; University of Toronto","funders":"","keywords":"Microtubule; Molecular motor; Steady state (chemistry); Dynein; Kinesin; Physics; Ustilago; Work (physics); Mechanics; Biological system; Biology; Biophysics; Chemistry","score_opus":0.010203940973109662,"score_gpt":0.31440524120997204,"score_spread":0.30420130023686237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W215596316","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11936743,0.0004368953,0.87540054,0.00039170828,0.00014195146,0.000060235594,0.00005614725,0.00029938918,0.0038456963],"genre_scores_gemma":[0.80827665,0.00075521256,0.18443526,0.00014266963,0.000086600034,0.0003213966,0.00008924427,0.00026360803,0.005629253],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998499,0.0000705981,0.000009430582,0.000025008736,0.000031717103,0.000013344736],"domain_scores_gemma":[0.9989209,0.000741407,0.00006185687,0.00012769277,0.00010799713,0.000040201394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008674981,0.0003343226,0.00044412122,0.0005807373,0.00074013876,0.00087285234,0.0012567329,0.00082237186,0.0018122757],"category_scores_gemma":[0.0020940038,0.0005860382,0.00070593756,0.00037324065,0.00089629303,0.0012648869,0.0010394522,0.0010637931,0.00023334444],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021050898,0.0002327991,0.0013562596,0.00031028216,0.00011596206,0.00020407862,0.00029584934,0.4389904,0.065574065,0.45201933,0.0010821627,0.039608397],"study_design_scores_gemma":[0.000007430506,0.000016286665,0.00013380084,0.0000030751676,0.0000039538536,0.00000903754,0.000008112556,0.984287,0.0011306216,0.014185456,0.00020686633,0.000008298788],"about_ca_topic_score_codex":0.0025350305,"about_ca_topic_score_gemma":0.0019668376,"teacher_disagreement_score":0.0025350305,"about_ca_system_score_codex":0.0011491659,"about_ca_system_score_gemma":0.00072426064,"threshold_uncertainty_score":0.008337796},"labels":[],"label_agreement":null},{"id":"W2156348742","doi":"10.1016/j.jtbi.2011.06.007","title":"Adaptive diversification of a plastic trait in a predictably fluctuating environment","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Human Frontier Science Program","keywords":"Allopatric speciation; Sympatric speciation; Biology; Phenotypic plasticity; Diversification (marketing strategy); Evolutionary biology; Evolutionary dynamics; Ecology; Trait; Population; Ecological speciation; Genetics; Genetic variation; Gene","score_opus":0.01189595633515134,"score_gpt":0.21977757713987214,"score_spread":0.2078816208047208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156348742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990346,0.000033248474,0.008173888,0.00033821294,0.000012768394,0.0000031988973,0.000027259688,0.00004346206,0.0010219592],"genre_scores_gemma":[0.9987029,0.00002302453,0.00102829,0.00004520633,0.000007900429,0.0000037092682,0.00001613496,0.000009387756,0.00016350701],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998561,0.000040438765,0.0000065564614,0.000044061617,0.000020518204,0.00003229297],"domain_scores_gemma":[0.9993772,0.00026671687,0.00010849004,0.00010268182,0.000038890754,0.00010608779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006848299,0.00021586524,0.0003046406,0.00031461968,0.00047217435,0.000777526,0.00061880215,0.00089486875,0.0016539753],"category_scores_gemma":[0.0021916777,0.00024855242,0.0003997891,0.0003013429,0.00096520444,0.0008122289,0.000992563,0.0009821539,0.00020375114],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011131609,0.00022233397,0.12980007,0.00020596012,0.00054276566,0.0042727077,0.0006684216,0.13256283,0.5964149,0.087231286,0.0012323535,0.045733154],"study_design_scores_gemma":[0.00018185185,0.00070308836,0.22179349,0.000030297486,0.00028076433,0.005733645,0.0009919234,0.5859822,0.026199803,0.15548426,0.002408552,0.00021005199],"about_ca_topic_score_codex":0.00020896478,"about_ca_topic_score_gemma":0.0002615701,"teacher_disagreement_score":0.0016539753,"about_ca_system_score_codex":0.0003505131,"about_ca_system_score_gemma":0.00021917712,"threshold_uncertainty_score":0.005533099},"labels":[],"label_agreement":null},{"id":"W2157882876","doi":"10.1016/j.jtbi.2010.07.008","title":"Density-dependent dispersal and relative dispersal affect the stability of predator–prey metacommunities","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Biological dispersal; Metacommunity; Interspecific competition; Ecology; Biology; Predator; Intraspecific competition; Predation; Density dependence; Population","score_opus":0.012838897308982737,"score_gpt":0.26854900740751714,"score_spread":0.2557101100985344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157882876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99957854,0.000022084838,0.00018269858,0.000018947265,0.0000012355969,7.026616e-7,0.000006755643,0.000002185269,0.00018680708],"genre_scores_gemma":[0.999813,0.000007842364,0.000070677874,0.000006549848,0.0000015394669,7.5329393e-7,0.000008231246,0.0000015049457,0.0000898108],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998367,0.00005425291,0.000015052406,0.000043184325,0.000017032535,0.000033742115],"domain_scores_gemma":[0.9954816,0.0025225102,0.0009882791,0.0002918623,0.00026758533,0.00044816642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063795963,0.00013467211,0.00023314296,0.00041970852,0.00029071548,0.0006705208,0.000364033,0.00061632093,0.002051085],"category_scores_gemma":[0.00608501,0.00028296624,0.00024292275,0.00015139766,0.00048326596,0.0006919661,0.0006375654,0.0003725141,0.00021503387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019953877,0.0003825892,0.7457633,0.00013802173,0.0006925811,0.0005998934,0.0008552174,0.015058583,0.2012813,0.0047327457,0.00057948445,0.02792091],"study_design_scores_gemma":[0.00004039363,0.0001472614,0.9716238,0.000005814034,0.00010095668,0.00020966204,0.0002174177,0.022960154,0.0025716657,0.0019841753,0.00011814293,0.000020619736],"about_ca_topic_score_codex":0.0010115423,"about_ca_topic_score_gemma":0.0020209334,"teacher_disagreement_score":0.002051085,"about_ca_system_score_codex":0.00028303938,"about_ca_system_score_gemma":0.00012858796,"threshold_uncertainty_score":0.0068615675},"labels":[],"label_agreement":null},{"id":"W2159152984","doi":"10.1006/jtbi.2002.3021","title":"A Frequency Distribution for the Number of Hematogenous Organ Metastases","year":2002,"lang":"en","type":"review","venue":"Journal of Theoretical Biology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Regional Cancer Foundation","funders":"","keywords":"Poisson distribution; Negative binomial distribution; Statistics; Distribution (mathematics); Mathematics; Binomial distribution; Variance (accounting); Clonogenic assay; Medicine; Biology; Mathematical analysis; Cell","score_opus":0.02211866403981979,"score_gpt":0.33161896565171134,"score_spread":0.30950030161189157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159152984","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032953717,0.77248734,0.17092359,0.0056806575,0.0010544148,0.00008221029,0.0014997344,0.0006558806,0.014662347],"genre_scores_gemma":[0.33243954,0.61974645,0.026700137,0.0022954214,0.0036994077,0.00024249361,0.0015922133,0.00019814433,0.013086216],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993462,0.00011887872,0.000052853124,0.00027441068,0.00017532613,0.0000321962],"domain_scores_gemma":[0.99582446,0.002897504,0.00040936362,0.00028123643,0.00052738015,0.000060062957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016904918,0.00068620214,0.0014429291,0.0022692354,0.0002486266,0.00137483,0.0018547305,0.0019893565,0.004681316],"category_scores_gemma":[0.00544705,0.00045598065,0.00063855725,0.002031417,0.0014630933,0.001730896,0.00053516065,0.0014208807,0.0018924752],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003714185,0.00008989545,0.021453261,0.0035253407,0.00044239103,0.0013930167,0.00028618428,0.013577621,0.0070720557,0.0802189,0.017607886,0.8539621],"study_design_scores_gemma":[0.00022627534,0.00086116535,0.12015893,0.0033417465,0.0012352624,0.0753089,0.0005764369,0.043952577,0.0155191785,0.37667757,0.36164364,0.0004982598],"about_ca_topic_score_codex":0.0009968124,"about_ca_topic_score_gemma":0.00059948047,"teacher_disagreement_score":0.004681316,"about_ca_system_score_codex":0.0010387428,"about_ca_system_score_gemma":0.0004068945,"threshold_uncertainty_score":0.015660584},"labels":[],"label_agreement":null},{"id":"W2160268764","doi":"10.1016/j.jtbi.2006.02.001","title":"Mathematical modeling of ovarian cancer treatments: Sequencing of surgery and chemotherapy","year":2006,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University of Waterloo; Fields Institute for Research in Mathematical Sciences","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Ovarian cancer; Context (archaeology); Chemotherapy; Cancer; Medicine; Oncology; Surgery; Internal medicine; Biology","score_opus":0.04428306922056572,"score_gpt":0.31977550298066254,"score_spread":0.2754924337600968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160268764","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23548321,0.0029315795,0.68725425,0.023783257,0.0005872429,0.00016689011,0.0014012705,0.0002610649,0.048131265],"genre_scores_gemma":[0.95210147,0.0015948635,0.020246083,0.00073099165,0.00030774914,0.00019881304,0.00027945035,0.00006579427,0.024474772],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992341,0.00038585725,0.000024449942,0.00010816831,0.000107230466,0.00014026416],"domain_scores_gemma":[0.99712366,0.0017592027,0.0005670128,0.0001068548,0.00021025122,0.0002329838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013979524,0.0008594622,0.0013901985,0.0006847617,0.000526145,0.0019899616,0.0019457224,0.0022364438,0.004758979],"category_scores_gemma":[0.007243231,0.0008118253,0.0010974638,0.00062204816,0.0012923066,0.0018646677,0.0009930388,0.0019356434,0.00046959493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004918275,0.000037969035,0.0005938657,0.000031488336,0.000029498236,0.000052338884,0.000036137,0.90563136,0.00030854717,0.089113235,0.0011772875,0.002939163],"study_design_scores_gemma":[0.000022371283,0.000025525938,0.00021147293,0.0000066312473,0.000017071518,0.00002765698,0.000017037511,0.9679215,0.00007413678,0.031123865,0.0005428312,0.000009831633],"about_ca_topic_score_codex":0.010855742,"about_ca_topic_score_gemma":0.007645805,"teacher_disagreement_score":0.010855742,"about_ca_system_score_codex":0.0022419207,"about_ca_system_score_gemma":0.0023869718,"threshold_uncertainty_score":0.021585107},"labels":[],"label_agreement":null},{"id":"W2160420612","doi":"10.1016/j.jtbi.2009.12.005","title":"Cycling expression and cooperative operator interaction in the trp operon of Escherichia coli","year":2009,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"trp operon; Operon; Escherichia coli; Cooperativity; Repressor; L-arabinose operon; Biology; Tryptophan; Genetics; Operator (biology); lac operon; Mutant; Gene; Gene expression; Amino acid","score_opus":0.007429065909562696,"score_gpt":0.27845662310568925,"score_spread":0.27102755719612653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160420612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898908,0.000029450754,0.009328367,0.00003973443,0.0000015495491,0.000004491729,0.000013444363,0.000024365872,0.0006677666],"genre_scores_gemma":[0.99852705,0.000025810985,0.0011583209,0.0000045642328,0.0000011568706,0.0000057097927,0.000023637202,0.0000051009656,0.00024853082],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998946,0.000029916326,0.0000039153683,0.000025999267,0.000024738834,0.00002072609],"domain_scores_gemma":[0.9996655,0.00021282691,0.000036184938,0.000017306063,0.000029045012,0.00003909709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020828765,0.00017289109,0.00019629118,0.00037869404,0.00030721686,0.00041325742,0.00035856548,0.00028228504,0.0005486837],"category_scores_gemma":[0.0009006165,0.000158469,0.00013007423,0.00031310707,0.0003577411,0.00033875296,0.00023452123,0.00020611468,0.0000769649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008189527,0.00031688972,0.012075533,0.000068424524,0.0000254102,0.00050117413,0.00035499004,0.110180736,0.8044861,0.05068557,0.00020842474,0.020277902],"study_design_scores_gemma":[0.00003488506,0.00016025425,0.012711853,0.0000048818997,0.000028134848,0.00018154182,0.00023061191,0.87112045,0.08488236,0.029939782,0.00067687134,0.000028310604],"about_ca_topic_score_codex":0.0014250326,"about_ca_topic_score_gemma":0.0010162619,"teacher_disagreement_score":0.0014250326,"about_ca_system_score_codex":0.00045736216,"about_ca_system_score_gemma":0.00029053955,"threshold_uncertainty_score":0.003318429},"labels":[],"label_agreement":null},{"id":"W2161980178","doi":"10.1016/j.jtbi.2011.05.008","title":"A generalization of Hamilton's rule—Love others how much?","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Social Sciences and Humanities Research Council of Canada; Knut och Alice Wallenbergs Stiftelse","keywords":"Generalization; Pairwise comparison; Inclusive fitness; Mathematical economics; Wright; Action (physics); Range (aeronautics); Computer science; Mathematics; Artificial intelligence; Social psychology; Psychology","score_opus":0.02249581188577551,"score_gpt":0.28431756944856895,"score_spread":0.26182175756279347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161980178","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16354355,0.001187561,0.47298124,0.027514717,0.0018553906,0.00021514177,0.00093328906,0.00030426664,0.33146495],"genre_scores_gemma":[0.93325424,0.0006331739,0.038219504,0.0028092503,0.0005081642,0.0001321196,0.00019724568,0.00008015454,0.024166208],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990551,0.00031314086,0.000055859942,0.00028166996,0.00018901285,0.000105229185],"domain_scores_gemma":[0.99656796,0.0020991883,0.00023936074,0.000513896,0.00039898383,0.00018067517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014083185,0.0002896948,0.0008379451,0.0005062396,0.00097393524,0.001364254,0.0013067456,0.0019987996,0.009618696],"category_scores_gemma":[0.009929132,0.00025348822,0.0007569596,0.0006245468,0.0032776587,0.003594332,0.00084534934,0.0021082798,0.0013534564],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002656145,0.00002345885,0.0009799125,0.000040758623,0.000028296503,0.00011832744,0.0002017403,0.0023119603,0.00047609032,0.9696182,0.007366325,0.018808402],"study_design_scores_gemma":[0.000015061048,0.000008734823,0.00041793633,0.0000069092603,0.0000082686465,0.0000972157,0.00006193028,0.008875301,0.0000864107,0.9881146,0.00229616,0.000011438166],"about_ca_topic_score_codex":0.0057711196,"about_ca_topic_score_gemma":0.0046181716,"teacher_disagreement_score":0.009618696,"about_ca_system_score_codex":0.0008757543,"about_ca_system_score_gemma":0.0012119897,"threshold_uncertainty_score":0.032177746},"labels":[],"label_agreement":null},{"id":"W2162185058","doi":"10.1016/j.jtbi.2007.02.007","title":"Perfect reciprocity is the only evolutionarily stable strategy in the continuous iterated prisoner's dilemma","year":2007,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Prisoner's dilemma; Superrationality; Stochastic game; Evolutionarily stable strategy; Reciprocity (cultural anthropology); Dilemma; Mathematical economics; Corollary; Social dilemma; Iterated function; Game theory; Traveler's dilemma; Selection (genetic algorithm); Kin selection; Microeconomics; Repeated game; Computer science; Normal-form game; Psychology; Social psychology; Biology; Economics; Evolutionary biology; Mathematics; Artificial intelligence","score_opus":0.015835331591906428,"score_gpt":0.3121577819810166,"score_spread":0.2963224503891102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162185058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.943489,0.00032391396,0.0324081,0.0013457531,0.00007601344,0.000029063094,0.00011646399,0.00010755023,0.022103993],"genre_scores_gemma":[0.995453,0.00009297569,0.0025957725,0.00005800619,0.00002865887,0.000016806438,0.00003491999,0.000018389632,0.0017012903],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99866676,0.0004769818,0.00008750356,0.0003290793,0.00020970503,0.00023005273],"domain_scores_gemma":[0.98542136,0.008955201,0.0022002526,0.0012360205,0.0010064831,0.0011807119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022287988,0.0003858728,0.001267868,0.00064438564,0.0016081325,0.0035023615,0.0010462641,0.0021154347,0.0026357085],"category_scores_gemma":[0.018377684,0.0005035602,0.0006768707,0.00046214412,0.003264143,0.004110835,0.0013095553,0.0011800673,0.00043926766],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006302331,0.00019231702,0.011242028,0.0003610387,0.00022203656,0.0010453658,0.0011215234,0.016863605,0.011692657,0.9228882,0.004129212,0.029611701],"study_design_scores_gemma":[0.00018526736,0.00018476644,0.0043402463,0.000041163912,0.00009296338,0.0012516308,0.00037499686,0.061544232,0.0016713099,0.92886484,0.0013756024,0.0000728614],"about_ca_topic_score_codex":0.0008237962,"about_ca_topic_score_gemma":0.0005513248,"teacher_disagreement_score":0.0035023615,"about_ca_system_score_codex":0.0005134617,"about_ca_system_score_gemma":0.0013781604,"threshold_uncertainty_score":0.0117871165},"labels":[],"label_agreement":null},{"id":"W2162522025","doi":"10.1016/j.jtbi.2005.05.026","title":"Estimation of the stoichiometry of volatile fatty acid production in the rumen of lactating cows","year":2005,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":237,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Rumen; Propionate; Animal science; Coefficient of variation; Digestion (alchemy); Substrate (aquarium); Volatile fatty acids; Fatty acid; Chemistry; Coefficient of determination; Fermentation; Food science; Chromatography; Biology; Biochemistry; Mathematics; Statistics","score_opus":0.013619799015824734,"score_gpt":0.2588193753058577,"score_spread":0.24519957629003294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162522025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989857,0.0001851588,0.0005672878,0.000007044574,0.0000015366608,0.000004499632,0.00006283607,0.0000034090815,0.000182616],"genre_scores_gemma":[0.9982595,0.00015065103,0.0010980224,0.000011579386,0.0000037566385,0.000007810558,0.00026794153,0.0000042511174,0.000196382],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998356,0.000049914805,0.000008192728,0.00004859953,0.00003460985,0.00002307453],"domain_scores_gemma":[0.9996861,0.00012908872,0.000041693223,0.000017486025,0.000053872056,0.00007177672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032690138,0.00028639336,0.00034081953,0.00066552346,0.0004227742,0.0006382224,0.0001869347,0.0004287433,0.00040095873],"category_scores_gemma":[0.00070869486,0.0002962685,0.00015726312,0.00028788642,0.00021570164,0.00035635216,0.00023987296,0.000281452,0.0001773177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037811142,0.00007745228,0.30782658,0.00008142157,0.00015153187,0.00012689792,0.0002061474,0.000966681,0.6715222,0.00011682214,0.00004465868,0.015098474],"study_design_scores_gemma":[0.000042627453,0.0006006962,0.9086845,0.000009611079,0.00009131686,0.0003252746,0.00046390013,0.0106298905,0.078639984,0.00018723286,0.00030439594,0.000020523412],"about_ca_topic_score_codex":0.0032120096,"about_ca_topic_score_gemma":0.0020807409,"teacher_disagreement_score":0.0032120096,"about_ca_system_score_codex":0.00033102668,"about_ca_system_score_gemma":0.00025241452,"threshold_uncertainty_score":0.0063866377},"labels":[],"label_agreement":null},{"id":"W2162695608","doi":"10.1016/j.jtbi.2010.09.013","title":"A model for the evolutionary diversification of religions","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Diversification (marketing strategy); Cultural transmission in animals; Biology; Evolutionary biology; Dominance (genetics); Sociocultural evolution; Sociology; Epistemology; Genetics; Anthropology; Philosophy","score_opus":0.009737722663133934,"score_gpt":0.27500595755860807,"score_spread":0.26526823489547413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162695608","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32982582,0.0014384703,0.42362848,0.032961816,0.0005110141,0.00016177799,0.0011871643,0.000671166,0.20961426],"genre_scores_gemma":[0.9399823,0.00062176207,0.031899862,0.00095275865,0.00014025273,0.00014817328,0.00029072686,0.0000774163,0.025886608],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99964714,0.00015203524,0.000011872725,0.00007318401,0.000051479798,0.0000641831],"domain_scores_gemma":[0.9988558,0.00057157385,0.00009289586,0.00015258716,0.00011030332,0.00021681363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009100548,0.00038369413,0.0006307169,0.0011444248,0.0014737787,0.0026064904,0.0024400975,0.0031999894,0.02237531],"category_scores_gemma":[0.003937907,0.00032856298,0.0011063495,0.0010110231,0.0021974538,0.004139036,0.00143057,0.0016357577,0.002032331],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002653783,0.000025729172,0.0009727587,0.000032264812,0.00002644695,0.00017864797,0.000304094,0.02347759,0.0005814325,0.96712565,0.0019525267,0.005296225],"study_design_scores_gemma":[0.000052215717,0.000023622399,0.0006726562,0.000017153125,0.000014861934,0.00029663945,0.00016406643,0.08718646,0.00006442187,0.9074395,0.0040461235,0.000022346816],"about_ca_topic_score_codex":0.00465812,"about_ca_topic_score_gemma":0.003129531,"teacher_disagreement_score":0.02237531,"about_ca_system_score_codex":0.0014580423,"about_ca_system_score_gemma":0.0010372136,"threshold_uncertainty_score":0.074852884},"labels":[],"label_agreement":null},{"id":"W2162773141","doi":"10.1016/j.jtbi.2012.06.033","title":"Habitat fragmentation: Simple models for local persistence and the spread of invasive species","year":2012,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University; University of York; University of Canterbury","keywords":"Fragmentation (computing); Habitat fragmentation; Threatened species; Extinction (optical mineralogy); Ecology; Habitat destruction; Habitat; Biology; Invasive species; Simple (philosophy)","score_opus":0.045600835136112995,"score_gpt":0.3059374106212985,"score_spread":0.26033657548518546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162773141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.755057,0.0020127678,0.22406042,0.0065391855,0.00011592359,0.00008576812,0.000629449,0.00031625762,0.011183292],"genre_scores_gemma":[0.9898992,0.00072713953,0.0048361127,0.00015246207,0.00011754153,0.000049344533,0.00013876404,0.0000375796,0.0040417565],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915266,0.00042832203,0.0000420885,0.00012533841,0.00009507295,0.00015652606],"domain_scores_gemma":[0.9922701,0.004767274,0.0014784785,0.00059145875,0.0003720425,0.0005206506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033210989,0.00079502806,0.0012319777,0.0013906169,0.00085147267,0.003196165,0.0034499052,0.0027982418,0.0037920089],"category_scores_gemma":[0.013667824,0.00062262616,0.0012795847,0.002014531,0.0021865573,0.004283532,0.0017349619,0.0016525578,0.00046635818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018211182,0.00020332205,0.026005587,0.00016908848,0.00029029357,0.0006673954,0.0009660864,0.64989674,0.0007963577,0.30124682,0.004633948,0.014942293],"study_design_scores_gemma":[0.0001019324,0.00007083859,0.0050437613,0.000026305815,0.00012026446,0.00035756105,0.00019025507,0.7559934,0.000059013306,0.23712972,0.0008610432,0.000045877237],"about_ca_topic_score_codex":0.011261522,"about_ca_topic_score_gemma":0.009828816,"teacher_disagreement_score":0.011261522,"about_ca_system_score_codex":0.0016927554,"about_ca_system_score_gemma":0.0007737844,"threshold_uncertainty_score":0.022391975},"labels":[],"label_agreement":null},{"id":"W2162804080","doi":"10.1016/j.jtbi.2010.10.008","title":"A mechanochemical 3D continuum model for smooth muscle contraction under finite strains","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Elasticity and Material Modeling","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Engineering Link (Canada)","funders":"Vetenskapsrådet","keywords":"Contraction (grammar); Biological system; Biophysics; Mathematics; Mechanics; Computer science; Physics; Biology; Endocrinology","score_opus":0.011889361159648417,"score_gpt":0.24549981068588653,"score_spread":0.2336104495262381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162804080","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028286042,0.0009274708,0.9519478,0.00088366,0.00018030661,0.000072298484,0.00033599336,0.00024464141,0.017121753],"genre_scores_gemma":[0.6753382,0.003127293,0.277221,0.0005791838,0.00023881458,0.0010633996,0.000549459,0.00026002296,0.041622695],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998246,0.000036977526,0.000011987318,0.000038079128,0.00007301064,0.000015343878],"domain_scores_gemma":[0.99982893,0.0000610392,0.000030574003,0.000023835051,0.000032989563,0.00002248539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029036342,0.00054875587,0.0005481769,0.00056451035,0.00045592326,0.000962125,0.0018689433,0.0019734849,0.0030054257],"category_scores_gemma":[0.0005993168,0.00047198732,0.0008990356,0.00047339176,0.0009416604,0.0008241785,0.0009132579,0.00096240046,0.0008937653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002319661,0.000040100644,0.00028025013,0.00006919049,0.000015850017,0.00026083298,0.000100460005,0.89272296,0.01173879,0.08830385,0.0005523883,0.0058921534],"study_design_scores_gemma":[0.0000076089973,0.000017551747,0.00010616367,0.000006562926,0.0000048711377,0.000067348854,0.000009627733,0.9867453,0.00034505554,0.009636114,0.00304463,0.000009156425],"about_ca_topic_score_codex":0.0022733763,"about_ca_topic_score_gemma":0.0014797174,"teacher_disagreement_score":0.0030054257,"about_ca_system_score_codex":0.0005412413,"about_ca_system_score_gemma":0.00071633514,"threshold_uncertainty_score":0.0100541115},"labels":[],"label_agreement":null},{"id":"W2163379311","doi":"10.1016/j.jtbi.2008.02.026","title":"A model for influenza with vaccination and antiviral treatment","year":2008,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":150,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of New Brunswick; University of Victoria; University of British Columbia; University of Manitoba","funders":"Mitacs; Public Health Agency","keywords":"Vaccination; Basic reproduction number; Antiviral treatment; Transmission (telecommunications); Stochastic modelling; Computation; Epidemic model; Reproduction; Sensitivity (control systems); Mathematical optimization; Mathematics; Applied mathematics; Computer science; Biology; Statistics; Virology; Medicine; Algorithm; Ecology; Virus","score_opus":0.2353824782517223,"score_gpt":0.44051154432652245,"score_spread":0.20512906607480016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163379311","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35953596,0.0029306393,0.38932824,0.08751255,0.0016471221,0.0003091463,0.00673206,0.0008010776,0.15120317],"genre_scores_gemma":[0.87666965,0.0012505836,0.01741738,0.0020987531,0.0007020817,0.00029253043,0.0009211882,0.00013677715,0.100510985],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991418,0.00040994585,0.000030478172,0.00012321878,0.00009320212,0.0002011901],"domain_scores_gemma":[0.99714833,0.0017676475,0.00035787182,0.00013499019,0.00020213761,0.0003889503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016277713,0.0012821503,0.002314372,0.0013003715,0.0012960149,0.0027677761,0.003514725,0.0076442966,0.02137557],"category_scores_gemma":[0.0055736424,0.0008475274,0.0019020756,0.001015775,0.002213699,0.0034709,0.0018923618,0.0033221624,0.0017337088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024183105,0.00018536932,0.0012456637,0.00015148707,0.00011758096,0.00060784083,0.0001860519,0.28493565,0.00087354495,0.6992948,0.008593236,0.0035668707],"study_design_scores_gemma":[0.0004868111,0.00011334494,0.00051411317,0.0000279355,0.00007632776,0.0002940477,0.0001129916,0.6867499,0.00011046429,0.30836397,0.0030995994,0.000050612933],"about_ca_topic_score_codex":0.017088529,"about_ca_topic_score_gemma":0.008269775,"teacher_disagreement_score":0.02137557,"about_ca_system_score_codex":0.0025608672,"about_ca_system_score_gemma":0.0023840035,"threshold_uncertainty_score":0.07150841},"labels":[],"label_agreement":null},{"id":"W2163611490","doi":"10.1016/j.jtbi.2010.07.003","title":"Positive interactions and the emergence of community structure in metacommunities","year":2010,"lang":"en","type":"preprint","venue":"Journal of Theoretical Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Metacommunity; Interspecific competition; Ecology; Mutualism (biology); Biological dispersal; Storage effect; Coexistence theory; Competition (biology); Community; Biology; Context (archaeology); Community structure; Spatial ecology; Geography; Economic geography; Ecosystem; Sociology; Population","score_opus":0.036756925597182785,"score_gpt":0.2767683108371673,"score_spread":0.2400113852399845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163611490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99024665,0.00012883301,0.006286609,0.0003376344,0.000011214751,0.000005584585,0.00002119808,0.000020662721,0.002941589],"genre_scores_gemma":[0.998934,0.000029663424,0.0007458327,0.000016849583,0.000009800747,0.0000042296,0.000012358659,0.0000032645285,0.00024396453],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953043,0.0001638002,0.000016426677,0.0000914621,0.000089159956,0.00010879525],"domain_scores_gemma":[0.99044,0.005706811,0.0015046883,0.00057877094,0.00053420156,0.0012355158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013655247,0.00016375675,0.0003710091,0.0009102312,0.0011989686,0.0015500129,0.00052180287,0.0009664274,0.0025117476],"category_scores_gemma":[0.010800583,0.00030159412,0.0002493409,0.00045366437,0.0018334071,0.0015556604,0.0015342992,0.0010285949,0.00019220696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009921117,0.0006277534,0.24761909,0.0004989474,0.00039207676,0.0023600818,0.010482177,0.032201752,0.09904581,0.46806028,0.0059683225,0.1317516],"study_design_scores_gemma":[0.00017774808,0.00031320038,0.2704328,0.000041294083,0.00011172328,0.0014051802,0.0041196826,0.09502649,0.0039185216,0.6207194,0.0036444922,0.000089449575],"about_ca_topic_score_codex":0.00085099856,"about_ca_topic_score_gemma":0.0012855496,"teacher_disagreement_score":0.0025117476,"about_ca_system_score_codex":0.00041840386,"about_ca_system_score_gemma":0.00023566437,"threshold_uncertainty_score":0.008402586},"labels":[],"label_agreement":null},{"id":"W2163908921","doi":"10.1016/j.jtbi.2013.06.020","title":"A model for intracellular actin waves explored by nonlinear local perturbation analysis","year":2013,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Nonlinear Dynamics and Pattern Formation","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Nonlinear system; Actin; Physics; Perturbation (astronomy); Context (archaeology); Cytoskeleton; Nucleation; Reaction–diffusion system; Singular perturbation; Biological system; Statistical physics; Biology; Cell","score_opus":0.012234214736598687,"score_gpt":0.24947560315924902,"score_spread":0.23724138842265033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163908921","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3899304,0.0012072725,0.5425388,0.003891469,0.0003672923,0.00014630856,0.00036525377,0.00034804913,0.06120519],"genre_scores_gemma":[0.9615753,0.0005732925,0.018364722,0.0002995539,0.00008098494,0.00013752835,0.00010512563,0.00007126913,0.018792251],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999311,0.000019432966,0.00000312259,0.000013992876,0.000017984574,0.000014369476],"domain_scores_gemma":[0.999874,0.000039912626,0.000019838108,0.000012012081,0.00002212244,0.00003207654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015230667,0.0005759842,0.00075054605,0.00051240635,0.00074458576,0.0010880277,0.0013442182,0.0019993389,0.0025765945],"category_scores_gemma":[0.00053229573,0.00027099127,0.00071303354,0.00037431446,0.0009555858,0.0010576718,0.0009660057,0.000894429,0.00043993685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011178145,0.00010207736,0.0005276862,0.00010570626,0.000044023676,0.00056514126,0.00018877977,0.599701,0.029577553,0.36309725,0.0018181291,0.004160856],"study_design_scores_gemma":[0.000024128763,0.000021042653,0.000088951914,0.0000045168294,0.0000072171156,0.00004092106,0.0000213053,0.9692471,0.00036552965,0.029702498,0.00046569153,0.000011115178],"about_ca_topic_score_codex":0.002742758,"about_ca_topic_score_gemma":0.0013803153,"teacher_disagreement_score":0.002742758,"about_ca_system_score_codex":0.000695528,"about_ca_system_score_gemma":0.00058899855,"threshold_uncertainty_score":0.008619547},"labels":[],"label_agreement":null},{"id":"W2164686081","doi":"10.1016/j.jtbi.2013.09.032","title":"Reproductive value in graph-structured populations","year":2013,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Reproductive value; Fecundity; Population; Biology; Adaptive value; Population genetics; Evolutionary biology; Offspring; Demography; Genetics; Pregnancy","score_opus":0.017081778783641314,"score_gpt":0.3156686031992182,"score_spread":0.2985868244155769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164686081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8655248,0.00054547994,0.11749794,0.0019519944,0.000047539954,0.000042882755,0.0001429646,0.00006959271,0.014176739],"genre_scores_gemma":[0.9951794,0.00015424019,0.0031806384,0.000058432975,0.000030679283,0.000020571868,0.00003925628,0.0000125397155,0.0013241409],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99932647,0.0003974134,0.000016198614,0.00007861086,0.00009137892,0.000089993635],"domain_scores_gemma":[0.98299974,0.014598317,0.00077323476,0.00052836846,0.00041989758,0.0006804005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002342614,0.0002812854,0.0009483872,0.0012400807,0.0006213451,0.0021743423,0.0012636846,0.0013520895,0.0026595008],"category_scores_gemma":[0.016704641,0.00029123342,0.00033196056,0.00082782627,0.0020757054,0.0029162075,0.0009769878,0.0007686081,0.00015016938],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014368324,0.00009077792,0.007060642,0.00011492105,0.00010191768,0.00025976793,0.00044512306,0.09487795,0.00186367,0.87548745,0.0023615118,0.017192597],"study_design_scores_gemma":[0.000035664656,0.000029608012,0.0024259854,0.000014022682,0.00002762461,0.000117180265,0.000116214585,0.156413,0.0001681412,0.84021366,0.0004250398,0.000013841757],"about_ca_topic_score_codex":0.0006317475,"about_ca_topic_score_gemma":0.00078285777,"teacher_disagreement_score":0.0026595008,"about_ca_system_score_codex":0.00093498937,"about_ca_system_score_gemma":0.00046925707,"threshold_uncertainty_score":0.012389064},"labels":[],"label_agreement":null},{"id":"W2165689729","doi":"10.1016/j.jtbi.2004.01.010","title":"An integrative model of amino acid metabolism in the liver of the lactating dairy cow","year":2004,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Reproductive Physiology in Livestock","field":"Agricultural and Biological Sciences","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Biotechnology and Biological Sciences Research Council; Department for Environment, Food and Rural Affairs, UK Government","keywords":"Amino acid; Glutamine; Ketone bodies; Phenylalanine; Alanine; Biochemistry; Asparagine; Metabolism; Leucine; Glucagon; Methionine; Biology; Internal medicine; Chemistry; Endocrinology; Medicine","score_opus":0.018641820473851215,"score_gpt":0.2632658999871628,"score_spread":0.2446240795133116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165689729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56085163,0.0024486184,0.39298442,0.0025696552,0.00008854892,0.000030029838,0.00030446606,0.00020182338,0.040520795],"genre_scores_gemma":[0.98299307,0.0006463409,0.010580291,0.00010222464,0.00004197135,0.000043355692,0.00007500801,0.000022105309,0.005495585],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99994314,0.000020650934,0.0000020753548,0.000014412098,0.0000085557995,0.000011168832],"domain_scores_gemma":[0.9999325,0.000022336755,0.000010154131,0.000005276411,0.000013041706,0.000016741811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022589849,0.00036670614,0.0006101668,0.00023474649,0.0003334456,0.0007847838,0.0008362899,0.00049346173,0.0030433568],"category_scores_gemma":[0.0002633219,0.00017259641,0.00049169094,0.00026809965,0.00048534642,0.00074203993,0.00054413365,0.0003209114,0.00031519734],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026913412,0.00010561187,0.003867977,0.00018544761,0.00025267192,0.00071597303,0.00048134357,0.5988405,0.03279022,0.34185544,0.0009660057,0.019669686],"study_design_scores_gemma":[0.00004568979,0.00015205723,0.0033975926,0.000014751524,0.00007965288,0.00020714322,0.00016424507,0.8599523,0.00081784936,0.13356403,0.0015818772,0.00002292216],"about_ca_topic_score_codex":0.006422395,"about_ca_topic_score_gemma":0.0033404073,"teacher_disagreement_score":0.006422395,"about_ca_system_score_codex":0.0005725968,"about_ca_system_score_gemma":0.00059129455,"threshold_uncertainty_score":0.012770057},"labels":[],"label_agreement":null},{"id":"W2166876839","doi":"10.1016/j.jtbi.2013.05.025","title":"Armstrong–McGehee mechanism revisited: Competitive exclusion and coexistence of nonlinear consumers","year":2013,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Nonlinear system; Mechanism (biology); Competition (biology); Resource (disambiguation); Monotonic function; Competitive exclusion; Nonlinear pricing; Functional response; Space (punctuation); Economics; Biological system; Computer science; Econometrics; Microeconomics; Ecology; Biology; Mathematics; Physics; Mathematical analysis; Predation","score_opus":0.017487530223834997,"score_gpt":0.29577029573999364,"score_spread":0.27828276551615866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166876839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8370143,0.0019349578,0.089497745,0.02216132,0.000460005,0.0000991783,0.0001268315,0.00015312813,0.04855254],"genre_scores_gemma":[0.9909916,0.0003700736,0.0035100642,0.0006022857,0.0001305006,0.000036146484,0.000010855357,0.000013999489,0.004334499],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988777,0.00047867492,0.00004984531,0.00017623074,0.00018858143,0.00022882989],"domain_scores_gemma":[0.9934651,0.0035376681,0.00078429206,0.00088982185,0.000488323,0.0008348407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004434708,0.0005475443,0.0017990121,0.0014127182,0.0017998778,0.0026690366,0.00476258,0.0059810984,0.00925438],"category_scores_gemma":[0.01281897,0.0005414039,0.0015987,0.0008049341,0.003717759,0.0055768276,0.0030272722,0.002174515,0.00042351903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012002995,0.00009309793,0.0027091752,0.00013714991,0.000113294715,0.00084905187,0.00047472634,0.013935828,0.0033313765,0.96758926,0.0030825508,0.007564479],"study_design_scores_gemma":[0.00024283641,0.000090836314,0.0034021575,0.000054909324,0.00008053633,0.0006533146,0.00044542327,0.15165077,0.00035230166,0.84110886,0.0018371257,0.00008089064],"about_ca_topic_score_codex":0.0031883202,"about_ca_topic_score_gemma":0.0023922408,"teacher_disagreement_score":0.00925438,"about_ca_system_score_codex":0.0015105961,"about_ca_system_score_gemma":0.0013799039,"threshold_uncertainty_score":0.03095895},"labels":[],"label_agreement":null},{"id":"W2169168273","doi":"10.1016/j.jtbi.2009.04.018","title":"Light and nutrient availability affect the size-scaling of growth in phytoplankton","year":2009,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Allison University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Phytoplankton; Nutrient; Scaling; Growth rate; Cell size; Environmental science; Exponent; Community structure; Biology; Ecology; Atmospheric sciences; Physics; Mathematics","score_opus":0.005034388362861207,"score_gpt":0.21035581281667992,"score_spread":0.2053214244538187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169168273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99790984,0.0001305967,0.00080616324,0.0001533075,0.000012653044,0.0000032551534,0.000049175193,0.000011839631,0.0009231907],"genre_scores_gemma":[0.9994968,0.000044666886,0.00018355649,0.000034852186,0.000008513394,0.0000033403405,0.000024413914,0.000009137441,0.00019484146],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99988353,0.00003502481,0.000010268159,0.000029279034,0.000018516948,0.000023400164],"domain_scores_gemma":[0.9963168,0.0026928128,0.00032167442,0.00020597453,0.00020685961,0.0002558388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004765538,0.00019453396,0.00023972183,0.00028829073,0.00029310276,0.0006866169,0.00031126328,0.00055476645,0.0017342147],"category_scores_gemma":[0.003830596,0.0003951476,0.0003585836,0.00016240902,0.000574226,0.0006180106,0.0006590689,0.000530114,0.00025220524],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020750738,0.00048498577,0.30952975,0.00027051018,0.00022845235,0.0008262476,0.0008001713,0.040349573,0.60626733,0.0076758186,0.0014672214,0.03002471],"study_design_scores_gemma":[0.00009435351,0.00022567993,0.9121627,0.00001673035,0.00007069636,0.00043773363,0.00035526435,0.06351388,0.012116381,0.010429495,0.0005165604,0.000060579594],"about_ca_topic_score_codex":0.001671277,"about_ca_topic_score_gemma":0.0022096403,"teacher_disagreement_score":0.0017342147,"about_ca_system_score_codex":0.00042867978,"about_ca_system_score_gemma":0.00020302819,"threshold_uncertainty_score":0.0058015585},"labels":[],"label_agreement":null},{"id":"W2169258361","doi":"10.1016/j.jtbi.2010.06.042","title":"Invasion and expansion of cooperators in lattice populations: Prisoner's dilemma vs. snowdrift games","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":149,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada","keywords":"Dilemma; Prisoner's dilemma; Computer science; Biology; Mathematics","score_opus":0.01653563099751258,"score_gpt":0.3129023227841015,"score_spread":0.2963666917865889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169258361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.957201,0.00028101358,0.030289281,0.0013935667,0.000038193375,0.000036955676,0.000033486926,0.000023244456,0.010703291],"genre_scores_gemma":[0.99445736,0.00013559603,0.0036187072,0.00006650384,0.00002048348,0.000026908367,0.00001072144,0.000008316924,0.0016553284],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99900466,0.0005492214,0.00004517744,0.00010721576,0.0001362532,0.00015755444],"domain_scores_gemma":[0.99145705,0.006292492,0.00089984585,0.00034154364,0.00024944005,0.00075980095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030943821,0.00025282786,0.0006470836,0.000664529,0.0007247753,0.0023709498,0.001138449,0.0014710383,0.0023053621],"category_scores_gemma":[0.014714718,0.0003386797,0.0005651305,0.00035008416,0.0027525576,0.004630826,0.00162508,0.001052562,0.00014757423],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089152664,0.00022739383,0.0115748765,0.00015406057,0.00011301256,0.00056272355,0.0019828603,0.1752862,0.004924713,0.7799077,0.0024968171,0.021878036],"study_design_scores_gemma":[0.0003601605,0.00017300593,0.0043959897,0.000036477537,0.00005618909,0.00031015786,0.00094204117,0.500442,0.0006630541,0.4913203,0.0012428672,0.00005763733],"about_ca_topic_score_codex":0.0025706028,"about_ca_topic_score_gemma":0.0027413277,"teacher_disagreement_score":0.0030943821,"about_ca_system_score_codex":0.00093808834,"about_ca_system_score_gemma":0.00087686855,"threshold_uncertainty_score":0.016364813},"labels":[],"label_agreement":null},{"id":"W2170467788","doi":"10.1016/j.jtbi.2007.01.021","title":"Studying genetic regulatory networks at the molecular level: Delayed reaction stochastic models","year":2007,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":124,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Stochastic modelling; Computer science; Gene regulatory network; Stochastic process; Binary number; Stochastic simulation; Function (biology); Genetic model; Systems biology; Biological system; Gene; Computational biology; Gene expression; Biology; Mathematics; Genetics","score_opus":0.01312764917970648,"score_gpt":0.25594102212197717,"score_spread":0.24281337294227068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170467788","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27306,0.00067583617,0.72034466,0.0012570587,0.00007349612,0.000037987662,0.00011539001,0.00012743783,0.0043080426],"genre_scores_gemma":[0.96433604,0.0007806589,0.03031174,0.000111970265,0.00009104298,0.00009456821,0.000079452664,0.000043550583,0.0041510174],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955326,0.00018815475,0.000012806632,0.00009229142,0.000076566284,0.000076863835],"domain_scores_gemma":[0.9968239,0.0025665013,0.00026053956,0.0001119302,0.00009760957,0.00013953779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013487462,0.00084674195,0.0012580485,0.00062109943,0.000426903,0.0013492659,0.0017790536,0.0014988284,0.001433952],"category_scores_gemma":[0.005157465,0.0006613246,0.00092967675,0.000668044,0.0017294942,0.002293984,0.00084964104,0.0014942404,0.00017232656],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005433181,0.00005434897,0.00070806954,0.000044183584,0.000042381787,0.00009280281,0.00004768663,0.81625223,0.0042287055,0.17627205,0.00017113563,0.0020320418],"study_design_scores_gemma":[0.000016368505,0.000011095879,0.000078410514,0.0000016765601,0.000010207916,0.000009304248,0.000007053239,0.9487394,0.00037862337,0.050621726,0.00012058811,0.000005453414],"about_ca_topic_score_codex":0.0039768624,"about_ca_topic_score_gemma":0.0021686605,"teacher_disagreement_score":0.0039768624,"about_ca_system_score_codex":0.0017420864,"about_ca_system_score_gemma":0.0010671503,"threshold_uncertainty_score":0.012639761},"labels":[],"label_agreement":null},{"id":"W2178969793","doi":"10.1016/j.jtbi.2015.11.002","title":"Media coverage and hospital notifications: Correlation analysis and optimal media impact duration to manage a pandemic","year":2015,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":101,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Outbreak; Infectious disease (medical specialty); Pandemic; Correlation; Disease; Affect (linguistics); Limiting; H1n1 pandemic; Estimation; Transmission (telecommunications); Coronavirus disease 2019 (COVID-19); Environmental health; Emerging infectious disease; Medicine; Demography; Computer science; Psychology; Mathematics; Virology; Sociology; Internal medicine","score_opus":0.09139375222405519,"score_gpt":0.40432283105492367,"score_spread":0.3129290788308685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2178969793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92656225,0.0010107472,0.06433088,0.0040154113,0.00009857541,0.00010146098,0.00033381724,0.00009171745,0.0034552605],"genre_scores_gemma":[0.99666566,0.0002049965,0.002290982,0.00004927099,0.000074519405,0.000027043632,0.00007689553,0.000010377938,0.00060029083],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99646616,0.0020474652,0.00019028272,0.00041993652,0.00027366605,0.0006024154],"domain_scores_gemma":[0.831409,0.14534709,0.015774382,0.0026242929,0.0024571384,0.0023880324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011488655,0.00076909136,0.0012819495,0.0020778715,0.0006773669,0.0024452205,0.0011406053,0.0018668842,0.004337155],"category_scores_gemma":[0.09198991,0.0007484519,0.0009148887,0.0013538852,0.0015857877,0.0032405434,0.0013549202,0.0022492774,0.00027498088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026436658,0.0023057319,0.43332994,0.0004850931,0.0020054663,0.0007785991,0.0011953107,0.35720855,0.0036276572,0.103458226,0.0051608356,0.08780092],"study_design_scores_gemma":[0.00013329125,0.00076140085,0.08918815,0.00009357672,0.0006149598,0.00020363834,0.0010596671,0.86097735,0.0009775899,0.045135863,0.000771147,0.000083383056],"about_ca_topic_score_codex":0.005379445,"about_ca_topic_score_gemma":0.0039589126,"teacher_disagreement_score":0.011488655,"about_ca_system_score_codex":0.0013570441,"about_ca_system_score_gemma":0.0027397443,"threshold_uncertainty_score":0.06075859},"labels":[],"label_agreement":null},{"id":"W2183984672","doi":"10.1016/j.jtbi.2015.11.015","title":"Modeling scan and interscan durations in antipredator vigilance","year":2015,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Vigilance (psychology); Foraging; Predation; Ecology; Biology; Cognitive psychology; Psychology","score_opus":0.030449427757363864,"score_gpt":0.27137368732960304,"score_spread":0.24092425957223917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2183984672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.983325,0.00023443344,0.013760408,0.0004115546,0.000013792248,0.000008542944,0.00019247131,0.000055130546,0.001998644],"genre_scores_gemma":[0.9964986,0.00006454059,0.0013036618,0.000032478805,0.00001053164,0.000013769714,0.000073061005,0.000022356378,0.0019810216],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997291,0.000103142236,0.000009092384,0.00007544234,0.000014025102,0.00006916973],"domain_scores_gemma":[0.99383754,0.005204342,0.00041176856,0.00011519603,0.00016295054,0.0002682519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014456848,0.000598832,0.00069024507,0.0009314882,0.00045511388,0.0012259663,0.0017217835,0.0025291112,0.0037836847],"category_scores_gemma":[0.010253295,0.001160408,0.0010504073,0.00072684657,0.0007199521,0.0018983074,0.00079628517,0.0011912255,0.00029726812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000115762836,0.00005185397,0.01196875,0.000017614719,0.00007099342,0.00010323808,0.00007265078,0.9809668,0.0004888176,0.004362181,0.00020837212,0.0015729766],"study_design_scores_gemma":[0.000009582129,0.000016517306,0.0021708154,0.0000043660157,0.00002366884,0.000019708896,0.000022627673,0.996221,0.00006399076,0.001386357,0.000054527674,0.0000068168274],"about_ca_topic_score_codex":0.0374719,"about_ca_topic_score_gemma":0.035702076,"teacher_disagreement_score":0.0374719,"about_ca_system_score_codex":0.0017683399,"about_ca_system_score_gemma":0.00094128505,"threshold_uncertainty_score":0.074507535},"labels":[],"label_agreement":null},{"id":"W2192017199","doi":"10.1016/j.jtbi.2015.11.017","title":"Definitions of fitness in age-structured populations: Comparison in the haploid case","year":2015,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Ploidy; Biology; Evolutionary biology; Zoology; Genetics","score_opus":0.06198290374006498,"score_gpt":0.3455138099017323,"score_spread":0.2835309061616673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2192017199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6528739,0.011906707,0.2555874,0.0047741677,0.0002704059,0.00009007724,0.00035341142,0.00008717158,0.0740568],"genre_scores_gemma":[0.9771114,0.0022446504,0.01782368,0.0002092784,0.00013499253,0.00008641944,0.00016482062,0.00004393739,0.0021808434],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974118,0.0014117659,0.0002398128,0.00023687337,0.0004798317,0.00021991396],"domain_scores_gemma":[0.98507535,0.010624253,0.001350643,0.000993985,0.00130969,0.00064604904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072663957,0.0006084809,0.0009090092,0.0033821561,0.0008427427,0.0036218076,0.0022264577,0.0016509035,0.002813057],"category_scores_gemma":[0.021798486,0.00023424569,0.0009710552,0.002162259,0.0038017065,0.0061135343,0.0022357353,0.0017495238,0.00023027607],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024082867,0.000011759336,0.0028294686,0.00004577763,0.000033251472,0.000077399265,0.0006103474,0.003461876,0.0001913866,0.98625135,0.000397229,0.006066107],"study_design_scores_gemma":[0.000023351748,0.00006257267,0.008817347,0.00008925767,0.00003627114,0.00041092842,0.0010803104,0.023396408,0.00016420867,0.9632897,0.0025865461,0.000043119857],"about_ca_topic_score_codex":0.0006254191,"about_ca_topic_score_gemma":0.00062079105,"teacher_disagreement_score":0.0072663957,"about_ca_system_score_codex":0.0016160443,"about_ca_system_score_gemma":0.0005791117,"threshold_uncertainty_score":0.038428843},"labels":[],"label_agreement":null},{"id":"W2198732287","doi":"10.1016/j.jtbi.2007.08.021","title":"Addendum to “Modeling human mortality using mixtures of bathtub shaped failure distributions”","year":2007,"lang":"en","type":"letter","venue":"Journal of Theoretical Biology","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Mixture model; Outlier; Mixture distribution; Expectation–maximization algorithm; Cluster analysis; Multivariate statistics; Computer science; Applied mathematics; Mathematics; Algorithm; Statistics; Probability density function; Maximum likelihood","score_opus":0.05140405249510186,"score_gpt":0.38262588455614444,"score_spread":0.33122183206104255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2198732287","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005309213,0.0014752765,0.0020365098,0.8123198,0.1740498,0.00006481054,0.00047037538,0.00021793664,0.0088345315],"genre_scores_gemma":[0.004832611,0.00092849194,0.0012435227,0.77662766,0.17097229,0.00015223867,0.00023346591,0.00008333022,0.04492637],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9954249,0.0013891683,0.0005522008,0.00052991917,0.001530645,0.00057315716],"domain_scores_gemma":[0.9756555,0.016088646,0.0009867904,0.000876677,0.0053628637,0.0010296177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004197087,0.0016303011,0.0024626323,0.0010542896,0.0028800701,0.003342826,0.0038098688,0.03926936,0.022299886],"category_scores_gemma":[0.049394887,0.00079633103,0.0022525555,0.00069918425,0.0024857041,0.0018799119,0.0026489873,0.030072618,0.021723669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036383444,0.000020147014,0.00017872166,0.000026668678,0.000014637317,0.00037154352,0.0000351747,0.00010105626,0.00010952148,0.0012499465,0.9944904,0.0033656985],"study_design_scores_gemma":[0.000170229,0.0000788274,0.0026750648,0.00022690654,0.000099021454,0.00097494177,0.00018073771,0.003358707,0.00060380297,0.017766213,0.97376925,0.00009630109],"about_ca_topic_score_codex":0.0066196374,"about_ca_topic_score_gemma":0.013482571,"teacher_disagreement_score":0.03926936,"about_ca_system_score_codex":0.0034756418,"about_ca_system_score_gemma":0.002183162,"threshold_uncertainty_score":0.07460058},"labels":[],"label_agreement":null},{"id":"W2200185801","doi":"10.1016/j.jtbi.2015.11.010","title":"A 3D numerical study of antimicrobial persistence in heterogeneous multi-species biofilms","year":2015,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Bacterial biofilms and quorum sensing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute of General Medical Sciences; Cummings Foundation","keywords":"Biofilm; Antimicrobial; Quorum sensing; Bacteria; Persistence (discontinuity); Biological system; Microbiology; Confocal laser scanning microscopy; Chemistry; Biology; Materials science; Genetics","score_opus":0.030626873869445907,"score_gpt":0.27357140395384927,"score_spread":0.24294453008440337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2200185801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93480456,0.0010536968,0.040567804,0.0021137865,0.00022634146,0.00009263733,0.00070835365,0.00023424497,0.020198535],"genre_scores_gemma":[0.98698854,0.00020779663,0.010801461,0.00020622891,0.000051237792,0.00006544744,0.00013426447,0.000039839237,0.0015051927],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977845,0.0000613989,0.000015213477,0.00003634113,0.0000598473,0.000048781374],"domain_scores_gemma":[0.9983425,0.0011028633,0.00015949631,0.00008374972,0.00016529048,0.00014607089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040010366,0.00055917824,0.00085944217,0.00082818256,0.0010105926,0.0015334396,0.0015920147,0.0031104705,0.0031017957],"category_scores_gemma":[0.0028204366,0.0005760155,0.0008584379,0.00076612737,0.0016715553,0.00089765317,0.001274895,0.0010808026,0.00019609943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000090254536,0.00015834351,0.0032637366,0.00007775628,0.0000525701,0.000279978,0.000104514234,0.98344177,0.004241112,0.0056956876,0.0005018133,0.0020925286],"study_design_scores_gemma":[0.000015529977,0.000015174856,0.0005185704,0.0000042384377,0.0000045993247,0.000015484604,0.000026873266,0.9984804,0.00014565534,0.00065947353,0.00010513948,0.000008875514],"about_ca_topic_score_codex":0.017949946,"about_ca_topic_score_gemma":0.00687437,"teacher_disagreement_score":0.017949946,"about_ca_system_score_codex":0.0010836135,"about_ca_system_score_gemma":0.00089285715,"threshold_uncertainty_score":0.035690904},"labels":[],"label_agreement":null},{"id":"W2200655800","doi":"10.1016/j.jtbi.2015.05.012","title":"Interstitial hydraulic conductivity and interstitial fluid pressure for avascular or poorly vascularized tumors","year":2015,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Hydraulic conductivity; Conductivity; Interstitial fluid; Materials science; Geology; Chemistry; Pathology; Medicine; Soil science","score_opus":0.029435138264605896,"score_gpt":0.3048233251178281,"score_spread":0.2753881868532222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2200655800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98195124,0.0011253525,0.015159846,0.00018976835,0.000016074917,0.0000060465877,0.00010034261,0.00006386107,0.0013874564],"genre_scores_gemma":[0.9989874,0.0001145221,0.0006106031,0.000013321836,0.000005770525,0.0000030909644,0.00003120692,0.000008122153,0.0002260693],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998684,0.000035765785,0.000011664359,0.000028902181,0.00003013074,0.000025051855],"domain_scores_gemma":[0.99918646,0.0005445021,0.00011578345,0.00003487637,0.000049142123,0.00006918085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004063972,0.00016658018,0.00023724,0.00045695947,0.00014815443,0.0007567515,0.0003306539,0.00048821187,0.0013696763],"category_scores_gemma":[0.0019007148,0.00016208799,0.00020379797,0.00027271983,0.00058665016,0.0011164072,0.0004288839,0.00046056093,0.00012914989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002368997,0.00019003429,0.012593372,0.00029114465,0.000045087927,0.00059512747,0.00022889678,0.06074775,0.89077747,0.0122063095,0.00037084552,0.019584965],"study_design_scores_gemma":[0.000064953216,0.0006253407,0.020323487,0.000028869857,0.0000835514,0.0015776755,0.00042807066,0.30619687,0.6512094,0.017716076,0.0016445072,0.00010117715],"about_ca_topic_score_codex":0.00032694376,"about_ca_topic_score_gemma":0.00020493047,"teacher_disagreement_score":0.0013696763,"about_ca_system_score_codex":0.00037876933,"about_ca_system_score_gemma":0.00021896677,"threshold_uncertainty_score":0.0045820475},"labels":[],"label_agreement":null},{"id":"W2215428946","doi":"10.1016/j.jtbi.2015.11.031","title":"Treatment–donation-stockpile dynamics in ebola convalescent blood transfusion therapy","year":2015,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; York University","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Canadian Institutes of Health Research; National Natural Science Foundation of China; International Development Research Centre; York University","keywords":"Stockpile; Blood donor; Medicine; Donation; Blood transfusion; Intensive care medicine; Ebola virus; Surgery; Virology; Immunology; Outbreak; Physics","score_opus":0.033102496435377805,"score_gpt":0.3507978463907688,"score_spread":0.31769534995539095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2215428946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98980415,0.00032274448,0.0016572524,0.0014189928,0.000019944111,0.000031899395,0.00015912247,0.000016518616,0.0065693106],"genre_scores_gemma":[0.9981812,0.000060137278,0.0001026061,0.000046462952,0.000004760125,0.0000070323663,0.000041135798,0.0000023465432,0.0015542486],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924624,0.00031486858,0.000028465069,0.00007614692,0.00008715844,0.00024713163],"domain_scores_gemma":[0.996311,0.0020824475,0.00067941035,0.00010812026,0.00034712738,0.00047185417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017253846,0.00016388608,0.0003710526,0.00035567538,0.0008067506,0.0018353226,0.00053103035,0.0008213664,0.012194868],"category_scores_gemma":[0.013470341,0.00017698832,0.0001685955,0.00034745858,0.0005036305,0.0012327472,0.00082241575,0.0010788091,0.00076369935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0067147263,0.0047904355,0.65291804,0.0002722778,0.0002673515,0.002023836,0.005796261,0.0453082,0.012111327,0.08262379,0.012213805,0.17495997],"study_design_scores_gemma":[0.0002189426,0.001835038,0.710096,0.00022829544,0.00022604212,0.0013620675,0.018316386,0.1869046,0.0064505306,0.062175184,0.012052316,0.00013467915],"about_ca_topic_score_codex":0.00914901,"about_ca_topic_score_gemma":0.007824006,"teacher_disagreement_score":0.012194868,"about_ca_system_score_codex":0.001715035,"about_ca_system_score_gemma":0.00097437104,"threshold_uncertainty_score":0.040795922},"labels":[],"label_agreement":null},{"id":"W2240449541","doi":"10.1016/j.jtbi.2015.06.040","title":"Microtubule patterning in the presence of moving motor proteins","year":2015,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Microtubule and mitosis dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Motor protein; Microtubule; Directionality; Molecular motor; Cytoskeleton; Processivity; Biology; Physics; Biological system; Biophysics; Cell biology; Cell; Genetics","score_opus":0.010797205194557558,"score_gpt":0.26185528127333724,"score_spread":0.25105807607877967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2240449541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93524814,0.00044983355,0.04716754,0.00044078226,0.000063270934,0.000024537194,0.000063190855,0.000119961034,0.016422695],"genre_scores_gemma":[0.99279106,0.00023619978,0.0030577006,0.00004908923,0.00001559363,0.000016893506,0.000026786225,0.000015671483,0.0037910275],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998822,0.000026154072,0.000003773472,0.00002521149,0.000036496585,0.000026145044],"domain_scores_gemma":[0.9998228,0.00006773815,0.000046350724,0.0000103761795,0.000021219508,0.000031513304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014205519,0.0003646243,0.00044478363,0.00023009918,0.00037095288,0.00064245216,0.0005018342,0.00079626695,0.0009649782],"category_scores_gemma":[0.00059824466,0.00030401882,0.00035441507,0.00016533054,0.00074951927,0.0006880455,0.0005436163,0.00034972338,0.00014840114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023350713,0.00019429927,0.003515939,0.0001893236,0.00007189793,0.0018884655,0.00021338703,0.68790513,0.21893197,0.07996159,0.00065899245,0.006235465],"study_design_scores_gemma":[0.000043914253,0.000065819455,0.000981316,0.000006149812,0.000016351803,0.000101255806,0.00003069808,0.9868063,0.0066932132,0.004662852,0.0005769363,0.000015248418],"about_ca_topic_score_codex":0.0032442976,"about_ca_topic_score_gemma":0.0014313209,"teacher_disagreement_score":0.0032442976,"about_ca_system_score_codex":0.0005201897,"about_ca_system_score_gemma":0.00034601154,"threshold_uncertainty_score":0.006450832},"labels":[],"label_agreement":null},{"id":"W2245291847","doi":"10.1016/j.jtbi.2016.04.017","title":"Reconstruction of disease transmission rates: Applications to measles, dengue, and influenza","year":2016,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Dengue fever; Transmission (telecommunications); Measles; Pandemic; Disease; Virology; Epidemic model; Incidence (geometry); Influenza pandemic; Population; Demography; Medicine; Biology; Computer science; Coronavirus disease 2019 (COVID-19); Infectious disease (medical specialty); Mathematics; Environmental health; Vaccination; Pathology","score_opus":0.11311415880962886,"score_gpt":0.42630743350239786,"score_spread":0.31319327469276903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2245291847","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25865602,0.00093982863,0.72881234,0.0049243523,0.00012872332,0.000055862172,0.00042113953,0.00030868503,0.005753112],"genre_scores_gemma":[0.90906036,0.0007130129,0.08730025,0.0001440638,0.0001132152,0.000054301,0.00037629367,0.00013433782,0.002104056],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991296,0.00061982684,0.000039072253,0.00010250924,0.000057930596,0.000051145373],"domain_scores_gemma":[0.9797406,0.016828582,0.0012582893,0.000894226,0.00072164653,0.00055650406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047116317,0.0007021714,0.00086852623,0.0023273749,0.0008603775,0.0020455916,0.0021913492,0.0021924295,0.0040589347],"category_scores_gemma":[0.04892048,0.0009945603,0.0013555179,0.0015947744,0.0020809942,0.003413118,0.0026421542,0.0023889292,0.00026708806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010135986,0.0000332798,0.0076766103,0.000052347135,0.00004793205,0.000084336396,0.00018413596,0.8604312,0.00021734087,0.118794955,0.0007142798,0.0116621945],"study_design_scores_gemma":[0.000012245781,0.000009693254,0.0004458206,0.000013539289,0.000006760428,0.000031059055,0.00005433237,0.9336794,0.00010295999,0.065346725,0.0002874525,0.00001003814],"about_ca_topic_score_codex":0.009795506,"about_ca_topic_score_gemma":0.0059443903,"teacher_disagreement_score":0.009795506,"about_ca_system_score_codex":0.0017820946,"about_ca_system_score_gemma":0.001238237,"threshold_uncertainty_score":0.024917781},"labels":[],"label_agreement":null},{"id":"W2252280604","doi":"10.1016/j.jtbi.2016.01.030","title":"Conditions for eradicating hepatitis C in people who inject drugs: A fibrosis aware model of hepatitis C virus transmission","year":2016,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Hepatitis C virus research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital; St. Paul's Hospital","funders":"National Institute on Drug Abuse; Canadian Institutes of Health Research; U.S. Food and Drug Administration","keywords":"Context (archaeology); Transmission (telecommunications); Hepatitis C virus; Medicine; Population; Hepatitis C; Virology; Virus; Environmental health; Computer science; Biology","score_opus":0.018863682109549317,"score_gpt":0.33691306090208123,"score_spread":0.3180493787925319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2252280604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8101823,0.0002916379,0.054842114,0.020582646,0.00017953466,0.00019828716,0.0001713465,0.00007077284,0.11348136],"genre_scores_gemma":[0.99289495,0.000085327185,0.0035474268,0.00036951253,0.000046684596,0.000037896112,0.00001857874,0.0000041173853,0.0029954545],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943143,0.00031217563,0.000018426083,0.0000682996,0.000078004174,0.00009151062],"domain_scores_gemma":[0.99734724,0.0012818298,0.00049327995,0.0003055953,0.00017222327,0.0003997622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009050257,0.0003914101,0.00026912664,0.0006323897,0.0012226998,0.0015677237,0.0006679014,0.0017048102,0.0065353597],"category_scores_gemma":[0.0040902914,0.00019877142,0.0005635072,0.00021014002,0.0028059152,0.002422795,0.0010686921,0.0015396856,0.00027826062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039791188,0.0013066252,0.018065622,0.00009267512,0.000058864647,0.0017101814,0.0034427748,0.008271955,0.00311311,0.94496506,0.0015840774,0.016991071],"study_design_scores_gemma":[0.0005000366,0.0010860645,0.019277552,0.0000799873,0.00016971742,0.0025254681,0.005395743,0.09676419,0.000979603,0.8690726,0.0040698517,0.000079046],"about_ca_topic_score_codex":0.00321014,"about_ca_topic_score_gemma":0.0021166296,"teacher_disagreement_score":0.0065353597,"about_ca_system_score_codex":0.00075443584,"about_ca_system_score_gemma":0.001241772,"threshold_uncertainty_score":0.021862924},"labels":[],"label_agreement":null},{"id":"W2252493907","doi":"10.1016/j.jtbi.2016.07.004","title":"Mathematical model of galactose regulation and metabolic consumption in yeast","year":2016,"lang":"en","type":"preprint","venue":"Journal of Theoretical Biology","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Galactose; Systems biology; Bistability; DECIPHER; Metabolic network; Biological system; Gene regulatory network; Adaptation (eye); Computer science; Computational biology; Biochemical engineering; Biology; Bioinformatics; Genetics; Biochemistry; Physics; Gene; Neuroscience","score_opus":0.02341315742109276,"score_gpt":0.31350663668602974,"score_spread":0.290093479264937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2252493907","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36875832,0.0032595014,0.51151735,0.01504137,0.00038356916,0.00011961038,0.0026588987,0.00049417105,0.09776727],"genre_scores_gemma":[0.9588325,0.0009844672,0.012173028,0.00038523492,0.00016085745,0.0001670303,0.00043096728,0.000088891116,0.026777117],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960035,0.00014926404,0.000020984673,0.000073161675,0.00008182014,0.000074461575],"domain_scores_gemma":[0.998917,0.00056916976,0.00017882549,0.000055849403,0.00014574683,0.00013344006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001013362,0.0009903546,0.0012796657,0.0008609918,0.0005592507,0.0023275765,0.0025728557,0.0027663235,0.0059768846],"category_scores_gemma":[0.003296924,0.00052354083,0.0010595038,0.00097488076,0.0013896583,0.0016027868,0.0014790714,0.0016578868,0.00068063865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000899397,0.00008307225,0.0008735584,0.00010549749,0.00005711171,0.00022967902,0.000107796375,0.5318699,0.002511096,0.45869315,0.0024899228,0.0028892602],"study_design_scores_gemma":[0.000034832443,0.000014849162,0.00018150777,0.0000063380535,0.000015364303,0.000035350284,0.000022873757,0.92856246,0.00010925799,0.0705007,0.00050138705,0.000015137414],"about_ca_topic_score_codex":0.0116432775,"about_ca_topic_score_gemma":0.0049831653,"teacher_disagreement_score":0.0116432775,"about_ca_system_score_codex":0.0026374653,"about_ca_system_score_gemma":0.0015396175,"threshold_uncertainty_score":0.02315104},"labels":[],"label_agreement":null},{"id":"W2269388516","doi":"10.1016/j.jtbi.2016.01.043","title":"Double-layer clustering method to predict protein complexes based on power-law distribution and protein sublocalization","year":2016,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"National Natural Science Foundation of China","keywords":"Cluster analysis; Power law; Distribution (mathematics); Power (physics); Mathematics; Statistical physics; Law; Computer science; Environmental science; Biological system; Physics; Biology; Statistics; Mathematical analysis; Political science; Thermodynamics","score_opus":0.008355675939569372,"score_gpt":0.2898331275291714,"score_spread":0.281477451589602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2269388516","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13032807,0.00078116654,0.8636903,0.000117616655,0.00004926356,0.00017034281,0.00048370534,0.0031210582,0.0012584764],"genre_scores_gemma":[0.66980356,0.00044564542,0.32372573,0.00011204811,0.000036957546,0.00024189195,0.0016229601,0.00038364792,0.00362749],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996443,0.000047859998,0.000033566754,0.0001046346,0.00011219724,0.000057326826],"domain_scores_gemma":[0.9992855,0.0001978734,0.000082924445,0.000094555406,0.000268739,0.00007036431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083757745,0.001085769,0.0010934622,0.0025169067,0.00093217177,0.0008612875,0.0017744943,0.0011065623,0.0016291505],"category_scores_gemma":[0.0016232452,0.0005840122,0.0013792785,0.0012043047,0.0003602923,0.0014347142,0.0008102479,0.00072651805,0.0009459579],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013558115,0.0006579175,0.027639238,0.00069372606,0.0011749157,0.0006837281,0.00043295446,0.45949835,0.07606841,0.011031396,0.01473588,0.4060277],"study_design_scores_gemma":[0.000012198331,0.000013630588,0.0009252501,0.0000044162325,0.000036279354,0.000041784566,0.000012518895,0.9948421,0.002678849,0.00114237,0.0002769373,0.000013654163],"about_ca_topic_score_codex":0.009970712,"about_ca_topic_score_gemma":0.010550305,"teacher_disagreement_score":0.009970712,"about_ca_system_score_codex":0.0007930845,"about_ca_system_score_gemma":0.0012419405,"threshold_uncertainty_score":0.019825399},"labels":[],"label_agreement":null},{"id":"W2271178597","doi":"10.1016/j.jtbi.2016.08.016","title":"Stochasticity and the limits to confidence when estimating <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si0040.gif\" overflow=\"scroll\"><mml:msub subscriptshift=\"65%\"><mml:mrow><mml:mi mathvariant=\"script\">R</mml:mi></mml:mrow><mml:mrow><mml:mn>0</mml:mn></mml:mrow></mml:msub></mml:math> of Ebola and other emerging infectious diseases","year":2016,"lang":"lv","type":"article","venue":"Journal of Theoretical Biology","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Army Research Office","keywords":"Confidence interval; Statistics; Computer science; Econometrics; Mathematics; Algorithm; Applied mathematics","score_opus":0.019285663860687995,"score_gpt":0.276194549874304,"score_spread":0.256908886013616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2271178597","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009124705,0.0007709966,0.98645324,0.00087103137,0.00016287765,0.000079788246,0.00016351808,0.00024379048,0.0021300165],"genre_scores_gemma":[0.43796667,0.0013689452,0.555088,0.0009275768,0.0006208208,0.000910075,0.0007080509,0.0005120681,0.0018977487],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9027813,0.06954815,0.0051751276,0.009845413,0.011418929,0.0012311104],"domain_scores_gemma":[0.43763214,0.5139291,0.012740681,0.025339019,0.009135126,0.001223813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.098253794,0.0017597979,0.002541233,0.0051061055,0.0014923697,0.008998601,0.005025697,0.0046139085,0.0030199804],"category_scores_gemma":[0.49449667,0.0020093208,0.00358009,0.0043384684,0.00911623,0.009035342,0.006579694,0.008974735,0.0007204463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024883976,0.00013150553,0.024228724,0.00087936514,0.0010092659,0.0008372424,0.0020965273,0.24661595,0.0016582555,0.5910768,0.0040764185,0.1271411],"study_design_scores_gemma":[0.00005598549,0.00018246,0.0043563787,0.00062723533,0.00014229365,0.00044723964,0.0003941843,0.5356683,0.0037463258,0.44700122,0.0071843825,0.00019397981],"about_ca_topic_score_codex":0.007239409,"about_ca_topic_score_gemma":0.004103673,"teacher_disagreement_score":0.098253794,"about_ca_system_score_codex":0.0026716487,"about_ca_system_score_gemma":0.0032126582,"threshold_uncertainty_score":0.51962197},"labels":[],"label_agreement":null},{"id":"W2273384719","doi":"10.1016/j.jtbi.2016.01.027","title":"The impacts of simultaneous disease intervention decisions on epidemic outcomes","year":2016,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychological intervention; Disease; Vaccination; Population; Intervention (counseling); Infectious disease (medical specialty); Vaccine efficacy; Epidemic model; Transmission (telecommunications); Environmental health; Biology; Medicine; Computer science; Immunology","score_opus":0.11483541414022963,"score_gpt":0.4592720038807993,"score_spread":0.3444365897405697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2273384719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9302654,0.0009674202,0.030684547,0.009311928,0.00022266456,0.0002031793,0.0010287763,0.00021501392,0.027101042],"genre_scores_gemma":[0.99456525,0.00028934013,0.0011078243,0.000196916,0.00006221087,0.000039160917,0.00006725701,0.000011645705,0.0036603778],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99341124,0.003038138,0.00026122,0.00096898427,0.0003715621,0.0019487207],"domain_scores_gemma":[0.9085015,0.07892037,0.006158805,0.0024387913,0.0012338761,0.0027465937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01156737,0.0011391047,0.0020821888,0.0012532097,0.0008738647,0.004763853,0.0020127648,0.0044677164,0.031788114],"category_scores_gemma":[0.07091664,0.001271002,0.0015927455,0.0010101637,0.0024664644,0.005443489,0.0033618673,0.00442,0.0012266343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010665241,0.0048529734,0.106601,0.0010886666,0.0020710966,0.0032511149,0.00235646,0.32567474,0.007922341,0.372894,0.008151049,0.15447144],"study_design_scores_gemma":[0.0016496617,0.004211207,0.07739127,0.00017888194,0.0023338993,0.0010126994,0.004019554,0.34171796,0.0036848073,0.55991423,0.00359892,0.0002868356],"about_ca_topic_score_codex":0.003789135,"about_ca_topic_score_gemma":0.0037723533,"teacher_disagreement_score":0.031788114,"about_ca_system_score_codex":0.0014415969,"about_ca_system_score_gemma":0.0023446085,"threshold_uncertainty_score":0.10634184},"labels":[],"label_agreement":null},{"id":"W2275726788","doi":"10.1016/j.jtbi.2017.01.005","title":"Limiting fitness distributions in evolutionary dynamics","year":2017,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Limiting; Evolutionary dynamics; Dynamics (music); Evolutionary biology; Biology; Statistical physics; Ecology; Mathematics; Physics; Demography; Population; Engineering; Sociology","score_opus":0.007201178345052943,"score_gpt":0.28599598005193844,"score_spread":0.2787948017068855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2275726788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47002745,0.0031725925,0.44999093,0.012074174,0.00025537683,0.00007810615,0.00024118969,0.00062623,0.063534],"genre_scores_gemma":[0.9773433,0.0014481649,0.0105293365,0.000500491,0.0002925559,0.00011094199,0.00010178959,0.00018955111,0.009483804],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987143,0.0007175821,0.000052965435,0.00015718499,0.0002055721,0.0001523694],"domain_scores_gemma":[0.9772624,0.018499522,0.0009783519,0.0011465428,0.0011713135,0.0009419168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00542908,0.00085592637,0.0013872987,0.0026062378,0.001241416,0.0034766425,0.0027281747,0.002798279,0.007134982],"category_scores_gemma":[0.04011599,0.00092369044,0.0007503483,0.0013802213,0.004486146,0.0082867695,0.0031497334,0.0033103658,0.0008344698],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016338561,0.000024348752,0.00089016685,0.000065570435,0.000015381835,0.00012066599,0.00021472835,0.020529943,0.0003649661,0.97295594,0.0009001395,0.0039019184],"study_design_scores_gemma":[0.00001686093,0.000009222961,0.0005501904,0.00003139956,0.000009523137,0.00018568289,0.000087658955,0.11877574,0.00012570081,0.8793503,0.000838561,0.000019188474],"about_ca_topic_score_codex":0.0014256787,"about_ca_topic_score_gemma":0.00063246384,"teacher_disagreement_score":0.007134982,"about_ca_system_score_codex":0.0018758435,"about_ca_system_score_gemma":0.00057891855,"threshold_uncertainty_score":0.028712034},"labels":[],"label_agreement":null},{"id":"W2284226184","doi":"10.1016/j.jtbi.2016.01.016","title":"How residency duration affects the outcome of a territorial contest: Complementary game-theoretic models","year":2016,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Florida State University; Simons Foundation","keywords":"CONTEST; Duration (music); Outcome (game theory); Ambiguity; Value (mathematics); Convention; Persistence (discontinuity); Psychology; Microeconomics; Social psychology; Economics; Computer science; Political science; Mathematics; Law; Statistics","score_opus":0.048542390871686394,"score_gpt":0.254541973618963,"score_spread":0.20599958274727664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2284226184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9323844,0.0003465886,0.047462985,0.0018545742,0.000046404675,0.00006296559,0.00024350347,0.000055539283,0.017542934],"genre_scores_gemma":[0.9931142,0.00014806418,0.0019020132,0.00008979605,0.000022562226,0.00003346871,0.00003934333,0.000012754261,0.0046377257],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991497,0.00038775348,0.000020737567,0.00011525888,0.00004652214,0.00028004232],"domain_scores_gemma":[0.989214,0.008113623,0.001096724,0.00032334452,0.0002597663,0.0009925113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032324598,0.0010097197,0.0018679972,0.0010435396,0.0010014485,0.003317497,0.0026942345,0.0033752152,0.011025923],"category_scores_gemma":[0.012036348,0.00083293545,0.0012091991,0.0006975632,0.0023479727,0.0031888855,0.0020050148,0.0017110802,0.0006055237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011007147,0.0008245481,0.016197555,0.00023966696,0.00036020228,0.0007787926,0.0008266437,0.63997537,0.004061238,0.32055476,0.0034226116,0.011658023],"study_design_scores_gemma":[0.00020802305,0.0002801836,0.00563642,0.000021047485,0.0002129527,0.00020173074,0.00038857575,0.8542593,0.00019446973,0.13788876,0.0006299876,0.0000784723],"about_ca_topic_score_codex":0.00648747,"about_ca_topic_score_gemma":0.0073672724,"teacher_disagreement_score":0.011025923,"about_ca_system_score_codex":0.002000959,"about_ca_system_score_gemma":0.0013373145,"threshold_uncertainty_score":0.03688544},"labels":[],"label_agreement":null},{"id":"W2286527303","doi":"10.1016/j.jtbi.2016.01.022","title":"Estimating finite-population reproductive numbers in heterogeneous populations","year":2016,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Population; Basic reproduction number; Population size; Biology; Mixing (physics); Statistics; Mathematics; Demography; Physics","score_opus":0.16335560198595228,"score_gpt":0.4415030939137511,"score_spread":0.2781474919277988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2286527303","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4236772,0.00055842,0.5730188,0.0007720629,0.000029472965,0.00006014756,0.0001693395,0.00010721418,0.0016074078],"genre_scores_gemma":[0.9474986,0.00028098305,0.050637044,0.00011877744,0.00007164743,0.00006774766,0.0002994711,0.000027007512,0.0009987361],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975835,0.0016253147,0.000091657654,0.00043027324,0.000120504,0.00014873747],"domain_scores_gemma":[0.88578254,0.10660299,0.0034308666,0.0027181327,0.00078830356,0.0006772439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011452698,0.00071657234,0.0014218695,0.0021278437,0.00065773015,0.0022721426,0.003822529,0.001935414,0.0016856302],"category_scores_gemma":[0.08186255,0.0011867085,0.0010961446,0.0010731918,0.0023653035,0.0040437155,0.0023221315,0.0017129685,0.00017745708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003308826,0.00024784656,0.05086971,0.00024551767,0.0005783869,0.00044411805,0.0006035491,0.7219114,0.0014368679,0.18777403,0.0010188181,0.03453892],"study_design_scores_gemma":[0.0000401829,0.00003211898,0.002628521,0.000026253529,0.00004947193,0.00009780535,0.00008949627,0.85985047,0.0003307676,0.13664734,0.00019108586,0.000016608723],"about_ca_topic_score_codex":0.003749075,"about_ca_topic_score_gemma":0.0037265578,"teacher_disagreement_score":0.011452698,"about_ca_system_score_codex":0.0016087589,"about_ca_system_score_gemma":0.0008435964,"threshold_uncertainty_score":0.060568392},"labels":[],"label_agreement":null},{"id":"W2289912584","doi":"10.1016/j.jtbi.2015.09.023","title":"Additive genetic variation and evolvability of a multivariate trait can be increased by epistatic gene action","year":2015,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Epistasis; Evolvability; Genetic architecture; Biology; Population; Genetic variation; Evolutionary biology; Genetics; Trait; Selection (genetic algorithm); Quantitative trait locus; Gene","score_opus":0.010501035615628493,"score_gpt":0.2770098804040875,"score_spread":0.26650884478845904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2289912584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9792539,0.00008045701,0.018781232,0.000111509136,0.000015498726,0.000004983158,0.000036148485,0.00011454478,0.0016017269],"genre_scores_gemma":[0.9972697,0.00006202843,0.0020935787,0.00003633533,0.00001631087,0.000007979346,0.000018634528,0.000034786404,0.00046071297],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994142,0.00025079612,0.000026928044,0.00013365198,0.000110285226,0.00006412398],"domain_scores_gemma":[0.9976689,0.0015325068,0.00030372455,0.00025683007,0.00006946145,0.00016850364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083837076,0.00065727456,0.000428832,0.0008176121,0.00021866885,0.0006569727,0.0004832349,0.00055400445,0.0019032067],"category_scores_gemma":[0.004385163,0.0003848642,0.0006387761,0.000581072,0.0007820648,0.00079965824,0.0013127708,0.0009923886,0.00016347281],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092772377,0.0002794725,0.04450363,0.00017521044,0.0005500687,0.0016679466,0.00032230958,0.03872842,0.8157981,0.05756799,0.0002554812,0.039223615],"study_design_scores_gemma":[0.00029758507,0.0011987642,0.5189556,0.000034829525,0.0007471352,0.0047282814,0.00026720116,0.2822253,0.048445504,0.14093742,0.0018018318,0.0003605293],"about_ca_topic_score_codex":0.00022041293,"about_ca_topic_score_gemma":0.00033681793,"teacher_disagreement_score":0.0019032067,"about_ca_system_score_codex":0.0002617657,"about_ca_system_score_gemma":0.00020158532,"threshold_uncertainty_score":0.006366849},"labels":[],"label_agreement":null},{"id":"W2292251119","doi":"10.1016/j.jtbi.2016.02.034","title":"Hamilton׳s Rule in finite populations with synergistic interactions","year":2016,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Generality; Generalization; Population; Transitive relation; Inclusive fitness; Selection (genetic algorithm); Frequency-dependent selection; Mathematics; Homogeneous; Binary number; Mathematical economics; Computer science; Combinatorics; Biology; Evolutionary biology; Artificial intelligence; Sociology; Psychology","score_opus":0.02220316566027536,"score_gpt":0.3309199546076824,"score_spread":0.30871678894740706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2292251119","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34331363,0.000820271,0.54811984,0.0030401393,0.0004566077,0.00019671574,0.00037758707,0.00023789353,0.10343736],"genre_scores_gemma":[0.9255671,0.00053784467,0.048301376,0.0003377975,0.00017323013,0.00016897843,0.00013526333,0.000058104615,0.024720436],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993067,0.0002606199,0.00004080488,0.00011773383,0.00017710097,0.00009691819],"domain_scores_gemma":[0.99644655,0.0023454821,0.00023949072,0.00028527752,0.00041359357,0.0002696169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013034182,0.0003279743,0.0014645932,0.0006384447,0.0009100058,0.0014098951,0.001924037,0.0018848582,0.0038128905],"category_scores_gemma":[0.006436766,0.0003552313,0.00074389315,0.0006300915,0.0021285587,0.0017449711,0.0008838906,0.0013755038,0.0005630857],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035362787,0.00003710582,0.00076277525,0.00007310665,0.000050144743,0.0004158684,0.0001780631,0.046925362,0.0010742845,0.93956435,0.0026318682,0.0082517285],"study_design_scores_gemma":[0.000067004614,0.000021541257,0.00035932136,0.000010432498,0.000021530597,0.00016359234,0.000047036705,0.15314204,0.00018017019,0.8449677,0.0010008434,0.00001878335],"about_ca_topic_score_codex":0.00441975,"about_ca_topic_score_gemma":0.003813427,"teacher_disagreement_score":0.00441975,"about_ca_system_score_codex":0.000794702,"about_ca_system_score_gemma":0.0014340394,"threshold_uncertainty_score":0.012755334},"labels":[],"label_agreement":null},{"id":"W2346972859","doi":"10.1016/j.jtbi.2016.05.003","title":"Blue tongue – A modelling examination of fundamentals – Seasonality and chaos","year":2016,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Vector-Borne Animal Diseases","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"National Health Insurance Service","keywords":"Logistic function; Constant (computer programming); Biology; Herd immunity; Infectious disease (medical specialty); Epidemic model; Seasonality; Mathematics; Statistics; Econometrics; Ecology; Computer science; Disease; Demography; Population; Immunology; Medicine","score_opus":0.024200139100353055,"score_gpt":0.2490911825045925,"score_spread":0.22489104340423943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346972859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67610055,0.0008926598,0.2566981,0.0029699367,0.00023685659,0.00005569598,0.0002940083,0.00027301625,0.06247918],"genre_scores_gemma":[0.98321635,0.0002901193,0.0052367654,0.00007898631,0.00004865936,0.000018757886,0.000046412402,0.000056075314,0.011007929],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991333,0.000032720713,0.000003850634,0.00001600134,0.00001674104,0.00001744053],"domain_scores_gemma":[0.99951804,0.00023732673,0.00006037146,0.000044033703,0.000071374096,0.00006877996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042916203,0.00038285137,0.00060951227,0.00043413404,0.00053042686,0.0011448539,0.0009000697,0.001320657,0.003798804],"category_scores_gemma":[0.00229281,0.00038647253,0.0006882429,0.00032593854,0.0010038376,0.0012835108,0.0011922193,0.00089863304,0.00030506085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005957046,0.000039322254,0.0026584172,0.00006616146,0.000050088063,0.00027302737,0.00040646212,0.8164081,0.004955549,0.1681994,0.0019054232,0.0049784873],"study_design_scores_gemma":[0.0000068244703,0.000011561616,0.00038675024,0.000004954436,0.0000048660463,0.000025790088,0.000029014414,0.9853136,0.00008888755,0.01360647,0.0005128017,0.0000084166795],"about_ca_topic_score_codex":0.00947213,"about_ca_topic_score_gemma":0.004369884,"teacher_disagreement_score":0.00947213,"about_ca_system_score_codex":0.0005541069,"about_ca_system_score_gemma":0.00069165026,"threshold_uncertainty_score":0.018833995},"labels":[],"label_agreement":null},{"id":"W2401375860","doi":"10.1016/j.jtbi.2017.01.032","title":"Model distinguishability and inference robustness in mechanisms of cholera transmission and loss of immunity","year":2017,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Vibrio bacteria research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Division of Biological Infrastructure; National Institute of General Medical Sciences; National Institute for Mathematical and Biological Synthesis; World Health Organization; National Institutes of Health; National Science Foundation","keywords":"Robustness (evolution); Inference; Computer science; Context (archaeology); Statistics; Range (aeronautics); Econometrics; Mathematics; Artificial intelligence; Biology; Engineering","score_opus":0.01966031341632665,"score_gpt":0.32902836879134584,"score_spread":0.3093680553750192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2401375860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5895689,0.00058866,0.39807484,0.0057749185,0.00010929525,0.00012178275,0.00041426733,0.00073274603,0.004614571],"genre_scores_gemma":[0.9916284,0.00008748034,0.007071387,0.0001617817,0.00006999248,0.00005240675,0.00015317155,0.00007622113,0.00069913163],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.985862,0.008652871,0.00069280516,0.0025554427,0.0009880192,0.0012488427],"domain_scores_gemma":[0.622344,0.3390256,0.014693628,0.01790572,0.0029334405,0.0030976215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03083141,0.0010946117,0.0029410126,0.0026103363,0.0017490865,0.0051814453,0.004808372,0.0037875797,0.004861559],"category_scores_gemma":[0.19417743,0.0016902687,0.003963221,0.0009729007,0.006985758,0.009767582,0.0062306,0.0069103604,0.00026291976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018150236,0.00031271455,0.023367275,0.0002881118,0.0011385761,0.0005834782,0.0009815597,0.5216818,0.0032060083,0.4316317,0.0013212028,0.013672507],"study_design_scores_gemma":[0.00008555323,0.000096838616,0.002700513,0.000019406234,0.00014499137,0.000108246,0.000090776375,0.6507598,0.00085070234,0.34494102,0.00014259083,0.000059595768],"about_ca_topic_score_codex":0.0033961586,"about_ca_topic_score_gemma":0.0016632004,"teacher_disagreement_score":0.03083141,"about_ca_system_score_codex":0.003810727,"about_ca_system_score_gemma":0.0022379998,"threshold_uncertainty_score":0.16305405},"labels":[],"label_agreement":null},{"id":"W2408575781","doi":"10.1016/j.jtbi.2016.05.023","title":"Improving dynamic phytoplankton reserve-utilization models with an indirect proxy for internal nitrogen","year":2016,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University; James Cook University; Australian Institute of Marine Science","keywords":"Phytoplankton; Nutrient; Nitrogen; Proxy (statistics); Environmental science; Ecology; Biological system; Mathematics; Biology; Statistics; Chemistry","score_opus":0.015588758132650777,"score_gpt":0.24079132993190006,"score_spread":0.22520257179924927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2408575781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5503401,0.0005809233,0.4416376,0.0011642773,0.000116725074,0.00007152176,0.00061813305,0.0009511894,0.0045194547],"genre_scores_gemma":[0.97276515,0.00013882008,0.024346497,0.00015167061,0.000058119083,0.00008487261,0.00026834678,0.0001651623,0.0020214745],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997925,0.000079652105,0.000015736254,0.000062714505,0.000021366228,0.000028010882],"domain_scores_gemma":[0.9972486,0.002018323,0.00023941095,0.00018563337,0.00018719213,0.00012074718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012858086,0.0010939148,0.001241007,0.00046547898,0.00062377134,0.0011296371,0.0019982508,0.0018915532,0.0015996599],"category_scores_gemma":[0.005161322,0.0014484698,0.0009792467,0.000515999,0.0007259923,0.0019408986,0.0013384256,0.001259128,0.00029605307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014682551,0.000011805504,0.0003881589,0.000005448759,0.000017732811,0.000008148537,0.0000056428303,0.99798524,0.00016165871,0.00045220545,0.0000540821,0.00089514663],"study_design_scores_gemma":[0.0000045490656,0.0000031472077,0.000042873697,7.851985e-7,0.0000038244884,0.0000011169377,0.0000011353809,0.99948895,0.00004437815,0.00038263566,0.000024738469,0.0000017910917],"about_ca_topic_score_codex":0.02112888,"about_ca_topic_score_gemma":0.014111583,"teacher_disagreement_score":0.02112888,"about_ca_system_score_codex":0.0012289201,"about_ca_system_score_gemma":0.0015673655,"threshold_uncertainty_score":0.042011797},"labels":[],"label_agreement":null},{"id":"W2415323305","doi":"10.1016/j.jtbi.2016.11.008","title":"Modelling cross-reactivity and memory in the cellular adaptive immune response to influenza infection in the host","year":2016,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Immune Cell Function and Interaction","field":"Immunology and Microbiology","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Australian Research Council; National Health and Medical Research Council; Natural Sciences and Engineering Research Council of Canada; Department of Health and Aged Care, Australian Government","keywords":"Immune system; Epitope; Biology; Acquired immune system; Avidity; Immunology; Cross-reactivity; Virology; Host (biology); Antigen; Cross reactions; Genetics","score_opus":0.017365937088010167,"score_gpt":0.27748189211754515,"score_spread":0.260115955029535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2415323305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.943463,0.0004922936,0.048082203,0.00049947464,0.00006828093,0.000023972747,0.00006673713,0.000050532202,0.007253507],"genre_scores_gemma":[0.99566525,0.00011443413,0.0018349892,0.000039480074,0.000014566103,0.000021892018,0.000027591119,0.000016040112,0.0022657947],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975747,0.00010667764,0.0000073862125,0.00003211345,0.000021112093,0.000075233394],"domain_scores_gemma":[0.9989858,0.000690678,0.00010240188,0.000041800045,0.000078597244,0.000100695324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008909675,0.0006487692,0.00065207965,0.00035775185,0.00038185428,0.0010138665,0.0013143327,0.0019328835,0.0020446468],"category_scores_gemma":[0.0026300175,0.00048388363,0.00076896604,0.00027003727,0.0009537039,0.0014261289,0.0008004283,0.00093729945,0.00019173782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007245648,0.00003697279,0.0012547681,0.000021998227,0.000019497158,0.0000829868,0.000048827922,0.98678035,0.0018218738,0.008737045,0.00008556599,0.0010376899],"study_design_scores_gemma":[0.000006574976,0.000025750836,0.00026381935,0.0000023131104,0.0000057143016,0.000009241277,0.0000138102705,0.9965479,0.00015279894,0.0029276356,0.000041077496,0.0000035669232],"about_ca_topic_score_codex":0.009141984,"about_ca_topic_score_gemma":0.003572143,"teacher_disagreement_score":0.009141984,"about_ca_system_score_codex":0.0010530564,"about_ca_system_score_gemma":0.00074104493,"threshold_uncertainty_score":0.01817751},"labels":[],"label_agreement":null},{"id":"W2461066852","doi":"10.1016/j.jtbi.2016.06.036","title":"Design principles for the analysis and construction of robustly homeostatic biological networks","year":2016,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","score_opus":0.017495077087496987,"score_gpt":0.2521624612913624,"score_spread":0.2346673842038654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2461066852","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002084925,0.000022818635,0.9974027,0.00004742641,0.0000039810466,0.000021251646,0.000018145523,0.000104686005,0.00029395972],"genre_scores_gemma":[0.24711402,0.00020528103,0.749997,0.00013249,0.000047405214,0.0007144017,0.00019533544,0.00025263464,0.0013413792],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988456,0.0004706601,0.00007328926,0.00023263285,0.0002978585,0.000079844016],"domain_scores_gemma":[0.9961175,0.0024098281,0.00036911372,0.00053642667,0.00041997895,0.00014718823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030609115,0.0009604498,0.0009002189,0.00088561885,0.00062765565,0.001372125,0.0023677612,0.0011180451,0.0026340855],"category_scores_gemma":[0.009776256,0.00091402786,0.0012345439,0.00058491103,0.001702267,0.0017062577,0.002642149,0.0016528127,0.0005896096],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011157703,0.00008528018,0.0007698829,0.00017971154,0.00009933051,0.00013847093,0.0001356662,0.5680794,0.017175376,0.35367993,0.0009977297,0.058547664],"study_design_scores_gemma":[0.000016419255,0.000030153302,0.00006335191,0.000009434489,0.000013189242,0.00002724069,0.000006674823,0.8460657,0.0018778133,0.15119778,0.0006827705,0.000009380568],"about_ca_topic_score_codex":0.00072733266,"about_ca_topic_score_gemma":0.00091668003,"teacher_disagreement_score":0.0030609115,"about_ca_system_score_codex":0.0010372126,"about_ca_system_score_gemma":0.001038231,"threshold_uncertainty_score":0.016187847},"labels":[],"label_agreement":null},{"id":"W2465590912","doi":"10.1016/j.jtbi.2016.06.027","title":"MRI contrast agent concentration and tumor interstitial fluid pressure","year":2016,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Contrast (vision); Interstitial fluid; Porosity; Magnetic resonance imaging; Materials science; Distribution (mathematics); Porous medium; Nuclear magnetic resonance; Biomedical engineering; Chemistry; Mathematics; Physics; Mathematical analysis; Optics; Pathology; Radiology; Composite material","score_opus":0.009339168084415156,"score_gpt":0.2857051064228475,"score_spread":0.27636593833843237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2465590912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94288814,0.0033185685,0.046067227,0.0013943276,0.00011066284,0.00003841271,0.000092595335,0.00019579602,0.0058942386],"genre_scores_gemma":[0.9962507,0.00034325488,0.002346292,0.00008025148,0.000047608904,0.000014837118,0.000027218057,0.000027508708,0.00086233596],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971575,0.00011635366,0.000007978812,0.00005570127,0.00005950658,0.000044685745],"domain_scores_gemma":[0.99846435,0.0010709664,0.00016459158,0.00003066777,0.00012504679,0.00014427357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046453197,0.00030913722,0.00031912874,0.0004102241,0.00030341683,0.00088091637,0.00038113366,0.0008526199,0.0012896156],"category_scores_gemma":[0.005304224,0.00033896457,0.0001597213,0.00019326605,0.00093437795,0.0014484402,0.0005956948,0.00083107786,0.00024197083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023852794,0.0002525471,0.009647093,0.00018668207,0.000083377585,0.0015912101,0.00033643947,0.012478992,0.94636834,0.009658793,0.000542163,0.016469128],"study_design_scores_gemma":[0.00022498185,0.0017158202,0.019134901,0.000033218676,0.00019500847,0.0028803006,0.0002677203,0.20265277,0.7584552,0.01187141,0.0024523716,0.000116330215],"about_ca_topic_score_codex":0.0005128711,"about_ca_topic_score_gemma":0.00020000488,"teacher_disagreement_score":0.0012896156,"about_ca_system_score_codex":0.00037899075,"about_ca_system_score_gemma":0.0004695721,"threshold_uncertainty_score":0.004314184},"labels":[],"label_agreement":null},{"id":"W2469978459","doi":"10.1016/j.jtbi.2016.06.020","title":"Truncation selection and payoff distributions applied to the replicator equation","year":2016,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Guelph","funders":"","keywords":"Replicator equation; Truncation (statistics); Stochastic game; Mathematics; Applied mathematics; Selection (genetic algorithm); Boundary (topology); Statistical physics; Mathematical economics; Population; Mathematical optimization; Statistics; Mathematical analysis; Computer science; Physics","score_opus":0.013271493492053692,"score_gpt":0.29827479245389604,"score_spread":0.28500329896184234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2469978459","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12563859,0.00085978117,0.8494668,0.002519838,0.00030605556,0.0001270842,0.00012724646,0.00016297126,0.020791491],"genre_scores_gemma":[0.90255004,0.0013415066,0.0634195,0.0003687205,0.00043303557,0.0003185036,0.00021536238,0.00021707654,0.031136287],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980736,0.0012639706,0.000067642664,0.00012896348,0.00029836522,0.00016736308],"domain_scores_gemma":[0.98422146,0.012122876,0.0006640517,0.0009332022,0.0014041836,0.0006541659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007591238,0.000819618,0.0018593312,0.0017639181,0.0012395451,0.0022888125,0.0026376534,0.002675098,0.0061288895],"category_scores_gemma":[0.034363538,0.000776435,0.001606577,0.0011996902,0.0039522094,0.004581691,0.0025253103,0.0036389574,0.00081957784],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003334927,0.00003249631,0.00049085025,0.00003660976,0.000024607194,0.00013237628,0.00015994832,0.07957532,0.00070453185,0.91413766,0.000797025,0.0038751857],"study_design_scores_gemma":[0.000028096907,0.000016279539,0.00023373989,0.000016330836,0.00000889712,0.000044140044,0.00003344032,0.6054805,0.00012277318,0.39360872,0.00038268958,0.000024468658],"about_ca_topic_score_codex":0.0043332875,"about_ca_topic_score_gemma":0.0026734346,"teacher_disagreement_score":0.007591238,"about_ca_system_score_codex":0.0022597162,"about_ca_system_score_gemma":0.0024295235,"threshold_uncertainty_score":0.040146768},"labels":[],"label_agreement":null},{"id":"W2471238313","doi":"10.1016/j.jtbi.2016.07.009","title":"A dynamical model for bark beetle outbreaks","year":2016,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Canadian Forest Service; Natural Resources Canada; Killam Trusts; Ministry of Environment - Saskatchewan; Alberta Agriculture and Forestry; University of Tennessee, Knoxville; Ontario Ministry of Natural Resources and Forestry; Canada Research Chairs; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Agriculture; National Institute for Mathematical and Biological Synthesis; U.S. Department of Homeland Security; University of Tennessee; National Science Foundation","keywords":"Bark beetle; Ecology; Biological dispersal; Resistance (ecology); Outbreak; Biology; Bark (sound); Population","score_opus":0.006970683340818966,"score_gpt":0.2434572661107248,"score_spread":0.23648658276990583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2471238313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49661,0.001334693,0.46656874,0.0063634967,0.00038158573,0.00010802299,0.0020701662,0.0005165359,0.026046718],"genre_scores_gemma":[0.9765762,0.0004524155,0.0063059255,0.00016315251,0.000116077164,0.00008855065,0.00036749893,0.00007462703,0.015855612],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997048,0.00010231698,0.000017319226,0.00007490234,0.000035283778,0.00006539774],"domain_scores_gemma":[0.99753356,0.0016498346,0.00030626197,0.00009033234,0.00018692322,0.00023306404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010476081,0.0007414232,0.0012987693,0.0009256829,0.00069430284,0.0018168307,0.0020557833,0.0030297344,0.0066203866],"category_scores_gemma":[0.0059305714,0.00079495006,0.0009178415,0.00063677627,0.0011020304,0.0023938573,0.001179693,0.0018918064,0.00066618185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007463493,0.000055424523,0.0015956113,0.00005515513,0.000061925646,0.0002718165,0.0001255813,0.90445846,0.001083166,0.08698099,0.0021440042,0.0030933341],"study_design_scores_gemma":[0.000017084512,0.000008788568,0.00017444277,0.0000036810331,0.000007272477,0.000020119862,0.000013091632,0.99196315,0.000019356576,0.007584501,0.0001804621,0.000007997238],"about_ca_topic_score_codex":0.015830444,"about_ca_topic_score_gemma":0.008047723,"teacher_disagreement_score":0.015830444,"about_ca_system_score_codex":0.0012936705,"about_ca_system_score_gemma":0.0007468488,"threshold_uncertainty_score":0.031476617},"labels":[],"label_agreement":null},{"id":"W2475746120","doi":"10.1016/j.jtbi.2016.07.029","title":"Optimal architecture of differentiation cascades with asymmetric and symmetric stem cell division","year":2016,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital","funders":"Ottawa Hospital Research Institute","keywords":"Asymmetric cell division; Stem cell; Cell division; Division (mathematics); Biology; Population; Competition (biology); Cellular differentiation; Cell; Cell biology; Mathematics; Genetics; Ecology; Medicine; Gene","score_opus":0.011290627734593094,"score_gpt":0.25578773409116,"score_spread":0.2444971063565669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2475746120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79296076,0.0006678025,0.17777643,0.0016476619,0.000113657436,0.00008490804,0.0002737053,0.0002800276,0.026195062],"genre_scores_gemma":[0.987444,0.0002450304,0.0072861463,0.00006815263,0.000037093185,0.000048011352,0.00006433808,0.000024741928,0.0047825407],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997203,0.00008669498,0.000010661635,0.00004637245,0.000052130443,0.00008394644],"domain_scores_gemma":[0.99867684,0.00048336273,0.00021736082,0.00007637939,0.00018958349,0.00035646002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005487143,0.00048778995,0.0007694044,0.00086155144,0.0007072021,0.0019279803,0.0012015622,0.0014795236,0.005368628],"category_scores_gemma":[0.0026272447,0.0005868191,0.0005291818,0.00029686422,0.0011650892,0.0014288198,0.0010313557,0.00084477203,0.00053606124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048268875,0.00011639956,0.0012423403,0.0001267152,0.000041941224,0.0003034267,0.0001442872,0.25501278,0.022047607,0.7077452,0.0023012306,0.010435329],"study_design_scores_gemma":[0.000077480625,0.00005937661,0.00047838083,0.000013295493,0.000019820392,0.000061388564,0.00006067441,0.8182143,0.0018793797,0.17856568,0.00054563815,0.00002451234],"about_ca_topic_score_codex":0.0013165948,"about_ca_topic_score_gemma":0.0013556044,"teacher_disagreement_score":0.005368628,"about_ca_system_score_codex":0.0016159896,"about_ca_system_score_gemma":0.0011174051,"threshold_uncertainty_score":0.017959833},"labels":[],"label_agreement":null},{"id":"W2485726304","doi":"10.1016/j.jtbi.2016.07.026","title":"Geometrical envelopes: Extending graphical contemporary niche theory to communities and eco-evolutionary dynamics","year":2016,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"National Science Foundation of Sri Lanka; U.S. Department of Homeland Security; National Institute for Mathematical and Biological Synthesis; University of Tennessee; Simons Foundation; U.S. Department of Agriculture","keywords":"Ecology; Context (archaeology); Adaptation (eye); Niche; Theoretical ecology; Structuring; Niche construction; Evolutionary ecology; Niche differentiation; Evolutionary dynamics; Niche segregation; Competition (biology); Computer science; Ecological niche; Biology; Sociology; Economics; Habitat","score_opus":0.009678417689724392,"score_gpt":0.2646728819988547,"score_spread":0.2549944643091303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2485726304","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031952955,0.00071163604,0.95222497,0.0012165105,0.00011938244,0.000028744293,0.0001799133,0.00019086887,0.0133749135],"genre_scores_gemma":[0.8294816,0.0015866767,0.15786153,0.0005840377,0.0005138242,0.00016796766,0.00027658374,0.00038000793,0.009147899],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990459,0.00046175803,0.00004290246,0.00013635372,0.00020783235,0.00010521568],"domain_scores_gemma":[0.99515617,0.002978637,0.0004252091,0.0006407077,0.00041156317,0.00038780252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015850903,0.0008623608,0.0011744272,0.0031572927,0.0010698503,0.0032863128,0.002118756,0.0017212098,0.0060025915],"category_scores_gemma":[0.009955303,0.0006855583,0.0018193073,0.0024414896,0.0046160026,0.007521039,0.004346109,0.0023344604,0.0006747742],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010909044,0.000007902692,0.00022375934,0.000024821944,0.000010967764,0.000034122393,0.0001288111,0.015702741,0.00019263083,0.9768595,0.0005894835,0.0062143137],"study_design_scores_gemma":[0.000004250931,0.0000047047056,0.0000840941,0.0000069893167,0.0000037146751,0.000024296529,0.000029830942,0.05245404,0.00003282164,0.94614685,0.0012017112,0.0000067031183],"about_ca_topic_score_codex":0.0020711815,"about_ca_topic_score_gemma":0.0014896868,"teacher_disagreement_score":0.0060025915,"about_ca_system_score_codex":0.0010411876,"about_ca_system_score_gemma":0.0006510451,"threshold_uncertainty_score":0.020080686},"labels":[],"label_agreement":null},{"id":"W2487168632","doi":"10.1016/j.jtbi.2016.07.036","title":"Somatic Growth Dilution of a toxicant in a predator–prey model under stoichiometric constraints","year":2016,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute for Mathematical and Biological Synthesis; National Sleep Foundation; University of Tennessee; National Science Foundation","keywords":"Trophic level; Toxicant; Food chain; Ecological stoichiometry; Dilution; Nutrient; Trophic cascade; Biomass (ecology); Environmental science; Predator; Biology; Ecology; Predation; Food web; Chemistry; Physics","score_opus":0.02529652373969661,"score_gpt":0.30676281064129324,"score_spread":0.28146628690159664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2487168632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7775348,0.0010338317,0.16216981,0.0070964834,0.0002698167,0.0001589896,0.0005884998,0.00026962545,0.050878208],"genre_scores_gemma":[0.97378844,0.00038437932,0.0035455679,0.00026226923,0.0000791947,0.000062081606,0.00007036176,0.000036590965,0.021771217],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995425,0.00017370924,0.000025068783,0.00007525853,0.000088525405,0.00009506533],"domain_scores_gemma":[0.99760723,0.0013757928,0.00037784196,0.00009282364,0.00026981073,0.0002765286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013131815,0.0011689228,0.0017229837,0.0009874287,0.0008331351,0.0021673786,0.0023415235,0.0034821616,0.0037559774],"category_scores_gemma":[0.0046293247,0.0007912966,0.0011715925,0.0005285051,0.0019912499,0.0022248377,0.0022876053,0.0012797085,0.00039924926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040926036,0.00018580511,0.0035549446,0.00033647203,0.0001337138,0.0019052734,0.00020820083,0.77473503,0.014192723,0.19674179,0.001658179,0.0059386315],"study_design_scores_gemma":[0.00007708601,0.0000875059,0.0007594916,0.000014831175,0.000058909023,0.00023225053,0.000052146475,0.970333,0.0006906681,0.027263097,0.00039342017,0.000037724647],"about_ca_topic_score_codex":0.008404704,"about_ca_topic_score_gemma":0.0040515913,"teacher_disagreement_score":0.008404704,"about_ca_system_score_codex":0.0019873448,"about_ca_system_score_gemma":0.0014196525,"threshold_uncertainty_score":0.016711533},"labels":[],"label_agreement":null},{"id":"W2504175348","doi":"10.1016/j.jtbi.2016.07.030","title":"The dynamics of mobile promoters: Enhanced stability in promoter regions","year":2016,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Promoter; Mobile genetic elements; Biology; Genome; Prokaryote; Genetics; Horizontal gene transfer; Computational biology; Gene; Gene expression","score_opus":0.007268032368870105,"score_gpt":0.2512198562870895,"score_spread":0.24395182391821937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2504175348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9866519,0.00023251206,0.012145461,0.00015980334,0.000008724139,0.0000037601867,0.0000624591,0.00006213851,0.0006732125],"genre_scores_gemma":[0.9985091,0.000062239465,0.0010667942,0.0000131906345,0.0000069252437,0.000004477828,0.000061922896,0.00001879097,0.00025651034],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991536,0.000012603777,0.0000031439536,0.000030366515,0.000019730456,0.000018758596],"domain_scores_gemma":[0.9995316,0.00018720512,0.00007976867,0.00004535971,0.000085704574,0.00007049712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022608081,0.00014892253,0.00020102793,0.00024125833,0.00028274726,0.0006822603,0.00031188855,0.0003480512,0.0016064552],"category_scores_gemma":[0.0012312656,0.0002291516,0.0001969894,0.00020603904,0.00042196954,0.0007614702,0.00025704442,0.00056915416,0.0003692401],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033265646,0.00003818815,0.006683107,0.00006506445,0.000026298268,0.00013989762,0.0002783088,0.0077962093,0.96437776,0.010337045,0.00018877706,0.009736581],"study_design_scores_gemma":[0.000075578355,0.0004298123,0.036361054,0.000026312138,0.00007626256,0.0007805601,0.0005044656,0.16824384,0.765688,0.024133332,0.003604533,0.00007618355],"about_ca_topic_score_codex":0.00036745204,"about_ca_topic_score_gemma":0.00031113715,"teacher_disagreement_score":0.0016064552,"about_ca_system_score_codex":0.00032783987,"about_ca_system_score_gemma":0.00020327826,"threshold_uncertainty_score":0.0053741336},"labels":[],"label_agreement":null},{"id":"W2511253595","doi":"10.1016/j.jtbi.2016.08.031","title":"The impact of human and vector distributions on the spatial prevalence of malaria in sub-Saharan Africa","year":2016,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Malaria; Vector (molecular biology); Spatial heterogeneity; Population; Biology; Anopheles; Indoor residual spraying; Ecology; Plasmodium falciparum; Environmental health; Medicine; Immunology","score_opus":0.02293003351645295,"score_gpt":0.3187432599811312,"score_spread":0.2958132264646782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2511253595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997468,0.00064961734,0.00033004186,0.0005701973,0.0000071685954,0.0000024477322,0.000081720544,0.00000391379,0.00088694843],"genre_scores_gemma":[0.99975497,0.00013975335,0.000035786088,0.00000783974,0.0000053374865,8.758729e-7,0.000010204697,8.99355e-7,0.000044277032],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972153,0.00201438,0.00005981479,0.00014785521,0.00013783277,0.0004248497],"domain_scores_gemma":[0.9814237,0.014469331,0.0022187661,0.0005988212,0.0006345317,0.0006547895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026436888,0.00029501223,0.0004256788,0.0009455375,0.0005096695,0.0012687474,0.0005675626,0.00057129393,0.002652193],"category_scores_gemma":[0.02760129,0.00039944338,0.000465835,0.0015450513,0.002227728,0.0014375028,0.0013140535,0.00066366064,0.00012841028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051355234,0.0001119368,0.9475543,0.0001144871,0.0005115165,0.00087219215,0.0011672663,0.022799343,0.0012490954,0.008449422,0.00047322843,0.016183661],"study_design_scores_gemma":[0.00003619075,0.00015384993,0.9618507,0.000045270546,0.00025596027,0.0006769755,0.0021325415,0.026882598,0.0002729312,0.0071173115,0.000547079,0.000028551858],"about_ca_topic_score_codex":0.021342298,"about_ca_topic_score_gemma":0.016757945,"teacher_disagreement_score":0.021342298,"about_ca_system_score_codex":0.0010227779,"about_ca_system_score_gemma":0.000750732,"threshold_uncertainty_score":0.042436182},"labels":[],"label_agreement":null},{"id":"W2520377028","doi":"10.1016/j.jtbi.2016.09.012","title":"Modelling weekly vector control against Dengue in the Guangdong Province of China","year":2016,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Outbreak; Dengue fever; Basic reproduction number; Reproduction; China; Vector (molecular biology); Psychological intervention; Vector control; Biology; Demography; Geography; Medicine; Virology; Environmental health; Ecology; Engineering","score_opus":0.007514110681619465,"score_gpt":0.2554324750991781,"score_spread":0.24791836441755863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2520377028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919348,0.00014149025,0.0050001596,0.00039284525,0.000034791265,0.000027476814,0.00050522224,0.000058754373,0.0019045463],"genre_scores_gemma":[0.99808085,0.00005843708,0.00047255444,0.000014231542,0.000005651584,0.000016292612,0.00018325467,0.000008117971,0.0011605249],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970716,0.00007437088,0.000014868942,0.00006413678,0.000025078913,0.00011439703],"domain_scores_gemma":[0.99890494,0.00055854133,0.00015024251,0.000043503456,0.00020306186,0.00013969488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088795804,0.00088495243,0.0010615259,0.0007984723,0.00074738346,0.0012514818,0.0019329839,0.0016717066,0.0026845706],"category_scores_gemma":[0.0026406443,0.00071128627,0.0009929234,0.0007364152,0.001060414,0.0009863963,0.00083073427,0.0009026044,0.00012378277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029371857,0.000021387503,0.004112042,0.000010815147,0.00002509028,0.00005816732,0.00001873272,0.99448484,0.00012083449,0.00051617203,0.00014258492,0.00045995775],"study_design_scores_gemma":[0.000010852677,0.000017186214,0.0012649694,0.0000013573397,0.000011297208,0.000003006603,0.000029663188,0.99839836,0.000028704713,0.0001796421,0.000050338575,0.000004578008],"about_ca_topic_score_codex":0.42027736,"about_ca_topic_score_gemma":0.19462991,"teacher_disagreement_score":0.42027736,"about_ca_system_score_codex":0.003915203,"about_ca_system_score_gemma":0.004434769,"threshold_uncertainty_score":0.8356621},"labels":[],"label_agreement":null},{"id":"W2551748301","doi":"10.1016/j.jtbi.2016.11.017","title":"Specialized hybrid learners resolve Rogers' paradox about the adaptive value of social learning","year":2016,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Copying; Social learning; Adaptive value; Adaptation (eye); Cultural transmission in animals; Mechanism (biology); Value (mathematics); Simple (philosophy); Raising (metalworking); Reproductive success; Population; Computer science; Psychology; Artificial intelligence; Cognitive psychology; Cognitive science; Machine learning; Biology; Ecology; Sociology; Epistemology; Evolutionary biology; Mathematics; Knowledge management","score_opus":0.015838755401734902,"score_gpt":0.3050320844758502,"score_spread":0.28919332907411527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2551748301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93626976,0.00015943046,0.023382572,0.0018598585,0.00006633349,0.000028782575,0.000010935671,0.000058909052,0.03816335],"genre_scores_gemma":[0.9954099,0.000035899124,0.0024321123,0.000088130146,0.000014143989,0.000011136184,0.00000508737,0.000008815927,0.001994817],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990977,0.00044642558,0.00003171081,0.00013359486,0.00016929899,0.00012140875],"domain_scores_gemma":[0.98843414,0.0075094937,0.0007836613,0.0019769056,0.000608623,0.00068715494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030030138,0.00028809014,0.00043406844,0.00047350576,0.00067259924,0.003170729,0.0011689122,0.0019978695,0.005678234],"category_scores_gemma":[0.016548714,0.00018110458,0.00032126345,0.0002852173,0.0020907351,0.004050585,0.0032727742,0.001911441,0.0005432144],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000532173,0.00047424668,0.008361449,0.0001408083,0.000113951115,0.00077383406,0.0045928853,0.009662291,0.008905676,0.88936377,0.0023464593,0.07473247],"study_design_scores_gemma":[0.00014448732,0.00024733663,0.003128121,0.000027207978,0.000044295055,0.00042818714,0.0023967125,0.02902334,0.0023879355,0.9581248,0.004023018,0.000024660472],"about_ca_topic_score_codex":0.0002235862,"about_ca_topic_score_gemma":0.00029217202,"teacher_disagreement_score":0.005678234,"about_ca_system_score_codex":0.0005303166,"about_ca_system_score_gemma":0.0006118471,"threshold_uncertainty_score":0.018995583},"labels":[],"label_agreement":null},{"id":"W2566956552","doi":"10.1016/j.jtbi.2016.12.007","title":"Further assessment of the protozoal contribution to the nutrition of the ruminant animal","year":2016,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Canada Research Chairs","keywords":"Rumen; Omasum; Protozoa; Ruminant; Biology; Forage; Animal science; Abomasum; Food science; Agronomy; Microbiology; Pasture","score_opus":0.009660760811854591,"score_gpt":0.264590447284516,"score_spread":0.2549296864726614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2566956552","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97391766,0.012061934,0.004624707,0.0011002476,0.00006605113,0.000034516466,0.00021259455,0.000017837197,0.007964465],"genre_scores_gemma":[0.98379993,0.0062570656,0.0058977036,0.00017296152,0.000079714766,0.000021338301,0.00022406205,0.000008862509,0.003538337],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998872,0.00004508701,0.0000069940857,0.00001795176,0.000021850861,0.00002092015],"domain_scores_gemma":[0.9995135,0.00019993098,0.000031167423,0.000036089048,0.00014108374,0.0000781361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059727154,0.000380022,0.00051794125,0.0006832907,0.0006312131,0.000809221,0.00036731298,0.00059886824,0.003617197],"category_scores_gemma":[0.00074750313,0.00011953211,0.00029496077,0.00032802808,0.00041749023,0.0006174183,0.0006352518,0.0006065065,0.00051091274],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002676004,0.00026150787,0.087030254,0.0008488643,0.00011473131,0.0008023752,0.0004874023,0.0011969056,0.8352344,0.0028328404,0.00021979482,0.06829499],"study_design_scores_gemma":[0.000160015,0.0050280085,0.72568893,0.0003074309,0.0005066011,0.0032888134,0.005292464,0.010429937,0.19913149,0.013288775,0.03681643,0.00006107102],"about_ca_topic_score_codex":0.002665898,"about_ca_topic_score_gemma":0.0027088106,"teacher_disagreement_score":0.003617197,"about_ca_system_score_codex":0.00037585796,"about_ca_system_score_gemma":0.00077877805,"threshold_uncertainty_score":0.012100756},"labels":[],"label_agreement":null},{"id":"W2567120921","doi":"10.1016/j.jtbi.2016.12.014","title":"Data informed analysis of 2014 dengue fever outbreak in Guangzhou: Impact of multiple environmental factors and vector control","year":2016,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Natural Science Foundation of China","keywords":"Outbreak; Dengue fever; Vector (molecular biology); Statistics; Reproduction; Sensitivity (control systems); Demography; Biology; Mathematics; Ecology; Virology","score_opus":0.011306388837416352,"score_gpt":0.30215914901085994,"score_spread":0.2908527601734436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2567120921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9793584,0.00017221842,0.0033338405,0.0008729998,0.000032448996,0.00013370163,0.014380746,0.000083129096,0.0016324886],"genre_scores_gemma":[0.9849309,0.000062386964,0.0029077604,0.00005613636,0.000011520338,0.000060812254,0.01156881,0.000011308532,0.00039039706],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976774,0.0009117443,0.00030092584,0.0003680021,0.0004408554,0.0003010662],"domain_scores_gemma":[0.9927988,0.0037633113,0.00097390026,0.00093463,0.0013520041,0.0001772938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003539433,0.00038187194,0.0003610859,0.0016465333,0.00041176428,0.00091834634,0.0006952139,0.00055135763,0.0018673838],"category_scores_gemma":[0.0102821225,0.00023088328,0.0006065695,0.00156015,0.00037465434,0.00068408303,0.00096315274,0.0004197267,0.000264775],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014163713,0.0002869451,0.92861736,0.0003696619,0.0004657361,0.0010148103,0.0007209745,0.024877885,0.003333576,0.0028528112,0.0052509718,0.030792935],"study_design_scores_gemma":[0.00010309012,0.00030235763,0.88313085,0.00010978482,0.00038243097,0.0002618884,0.0031485723,0.09441032,0.005563025,0.002957298,0.009568465,0.00006201393],"about_ca_topic_score_codex":0.03597763,"about_ca_topic_score_gemma":0.033527423,"teacher_disagreement_score":0.03597763,"about_ca_system_score_codex":0.001515447,"about_ca_system_score_gemma":0.0028076353,"threshold_uncertainty_score":0.07153642},"labels":[],"label_agreement":null},{"id":"W2568790894","doi":"10.1016/j.jtbi.2017.01.010","title":"Interaction times change evolutionary outcomes: Two-player matrix games","year":2017,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"European Commission","keywords":"Prisoner's dilemma; Dilemma; Dove; Evolutionary game theory; Social dilemma; Game theory; Repeated game; Evolutionarily stable strategy; Strong reciprocity; Microeconomics; Population; Mathematical economics; Normal-form game; Computer science; Economics; Mathematics; Sociology; Political science; Demography","score_opus":0.03650782954681332,"score_gpt":0.3998066484486469,"score_spread":0.3632988189018336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2568790894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9542748,0.00008449101,0.03913061,0.0006639727,0.000033385317,0.00005572985,0.00012245699,0.00005203841,0.0055826297],"genre_scores_gemma":[0.9933321,0.00007006294,0.0037937812,0.00005218093,0.00001160589,0.000052010917,0.000041477397,0.000012428146,0.0026344028],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987816,0.00070577534,0.000037447302,0.00017266977,0.00009167589,0.00021075994],"domain_scores_gemma":[0.98441446,0.012483471,0.0013256966,0.00042893953,0.0002942317,0.0010531662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032834467,0.0008026876,0.0010391016,0.0007615747,0.00058301695,0.002663968,0.0014009733,0.0020386756,0.0082323905],"category_scores_gemma":[0.023813194,0.0005018488,0.0006293275,0.0005049418,0.0014861064,0.003377017,0.0012364892,0.0016732918,0.00053268933],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0046834527,0.001985999,0.02352227,0.00044562778,0.000808705,0.0014617663,0.0030167254,0.37002262,0.024201617,0.5191534,0.0055684275,0.045129396],"study_design_scores_gemma":[0.00045822066,0.0006369768,0.00843052,0.000024135803,0.00014996648,0.00022527971,0.0007586271,0.7203766,0.0010336217,0.2670505,0.00075891794,0.00009658797],"about_ca_topic_score_codex":0.0020734556,"about_ca_topic_score_gemma":0.002234659,"teacher_disagreement_score":0.0082323905,"about_ca_system_score_codex":0.0009721191,"about_ca_system_score_gemma":0.00064755813,"threshold_uncertainty_score":0.027540088},"labels":[],"label_agreement":null},{"id":"W2577638289","doi":"10.1016/j.jtbi.2017.01.018","title":"Efficient dynamic programming algorithm with prior knowledge for protein β-strand alignment","year":2017,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Dynamic programming; Algorithm; Computer science; Structural alignment; Multiple sequence alignment; Protein structure prediction; Protein structure; Sequence alignment","score_opus":0.004856117276813322,"score_gpt":0.27792742460165726,"score_spread":0.2730713073248439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2577638289","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0077693663,0.00014333692,0.9896736,0.00016144154,0.000024315264,0.00004556226,0.00008242089,0.0010061044,0.0010938927],"genre_scores_gemma":[0.13600335,0.00019725597,0.8585133,0.0001825369,0.00006199971,0.0003688718,0.00065450906,0.00048655638,0.0035317563],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929166,0.0001692045,0.00003303198,0.00023620191,0.00017637624,0.000093529634],"domain_scores_gemma":[0.9984699,0.0010104389,0.00008826418,0.00013587918,0.00020802533,0.00008739542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011692558,0.0009857937,0.002074402,0.0012305763,0.0009655158,0.0014085941,0.0027114684,0.0020409487,0.0059606787],"category_scores_gemma":[0.0030787617,0.0014840405,0.0010284749,0.0014257949,0.0007424643,0.0022899082,0.002230613,0.003012475,0.0013634767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002857667,0.00022493064,0.00043126856,0.00013889752,0.000074258896,0.00009679628,0.0000680691,0.6755009,0.004251628,0.016726179,0.0047492036,0.29745212],"study_design_scores_gemma":[0.00001544982,0.00001303023,0.000035018536,0.0000036596825,0.0000047827175,0.0000136139415,0.0000041099856,0.9937692,0.00057482644,0.0051674987,0.0003941568,0.000004596995],"about_ca_topic_score_codex":0.0064656055,"about_ca_topic_score_gemma":0.006875027,"teacher_disagreement_score":0.0064656055,"about_ca_system_score_codex":0.0011011567,"about_ca_system_score_gemma":0.0024782044,"threshold_uncertainty_score":0.019940436},"labels":[],"label_agreement":null},{"id":"W2586056442","doi":"10.1016/j.jtbi.2017.01.044","title":"Temperature cycles affect colonization potential of calanoid copepods","year":2017,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Okinawa Institute of Science and Technology Graduate University; University of Alberta","keywords":"Habitat; Allee effect; Biology; Ecology; Temperate climate; Population; Range (aeronautics); Colonization; Demography","score_opus":0.005434058634759599,"score_gpt":0.23457512022082205,"score_spread":0.22914106158606246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586056442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995309,0.00005800689,0.000025900388,0.000015471978,0.000002105085,6.484925e-7,0.00003236718,0.0000010052232,0.00033354346],"genre_scores_gemma":[0.99978644,0.00002709607,0.000013923208,0.000008857079,0.0000013820384,8.616476e-7,0.000034722398,0.0000018707184,0.00012483583],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994385,0.00001013163,0.0000032582627,0.000016439331,0.0000053172557,0.00002100396],"domain_scores_gemma":[0.9994973,0.00020677262,0.00011498579,0.000024770048,0.000057530386,0.000098625795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013054404,0.0001216974,0.00016678631,0.00028141495,0.00029396752,0.0007476321,0.00018044595,0.00037878047,0.0021464895],"category_scores_gemma":[0.00089889334,0.00021467231,0.0002574506,0.00019470172,0.00031887417,0.00048412423,0.00037976867,0.00029428242,0.00022971864],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002311238,0.000117588905,0.7545281,0.00009181672,0.00021093339,0.00034205493,0.00046342766,0.0071190367,0.22447547,0.00064905046,0.0004817077,0.0092096785],"study_design_scores_gemma":[0.000017811917,0.000099776924,0.9922335,0.0000058363353,0.000037560927,0.00006628775,0.0002775599,0.0034947088,0.0032305426,0.00018902434,0.0003377242,0.000009589921],"about_ca_topic_score_codex":0.0043386645,"about_ca_topic_score_gemma":0.007061532,"teacher_disagreement_score":0.0043386645,"about_ca_system_score_codex":0.00053564773,"about_ca_system_score_gemma":0.00017799987,"threshold_uncertainty_score":0.008626819},"labels":[],"label_agreement":null},{"id":"W2592590328","doi":"10.1016/j.jtbi.2017.02.031","title":"Symbiosis in eukaryotic evolution","year":2017,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Protist diversity and phylogeny","field":"Biochemistry, Genetics and Molecular Biology","cited_by":156,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Eukaryotic cell; Symbiosis; Biology; Mechanism (biology); Evolutionary biology; Ecology; Genetics; Gene; Epistemology; Bacteria","score_opus":0.007988129469559862,"score_gpt":0.26165109565677325,"score_spread":0.2536629661872134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2592590328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7428182,0.06653099,0.05495916,0.035675973,0.0011528698,0.000025722937,0.00007016721,0.00009465055,0.098672345],"genre_scores_gemma":[0.9939202,0.0028278243,0.001431397,0.00019400916,0.00013712015,0.0000053649287,0.0000055678856,0.000005183523,0.0014733317],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997235,0.0001443071,0.000012244164,0.000038057857,0.000038544054,0.00004340064],"domain_scores_gemma":[0.9993426,0.00034568497,0.000079366626,0.000042506774,0.000060400944,0.00012945778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011060538,0.00022037112,0.00036640264,0.0007527686,0.0013755962,0.0020937498,0.0004244472,0.0012753918,0.0028135306],"category_scores_gemma":[0.0019266705,0.00023288502,0.0001870506,0.0007646089,0.003957798,0.0026649283,0.0016664673,0.0011153739,0.00022432908],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039331557,0.000017510274,0.0056532645,0.00012934294,0.000026617046,0.0003983868,0.001702221,0.0025299306,0.0012327309,0.9605374,0.0010698927,0.026663417],"study_design_scores_gemma":[0.000015299333,0.000029141103,0.0044506495,0.000050656192,0.000023670615,0.0004535756,0.0011653708,0.005322167,0.00020422156,0.974212,0.014059629,0.000013660896],"about_ca_topic_score_codex":0.00091470865,"about_ca_topic_score_gemma":0.0007987946,"teacher_disagreement_score":0.0028135306,"about_ca_system_score_codex":0.0013547712,"about_ca_system_score_gemma":0.00061182556,"threshold_uncertainty_score":0.009829581},"labels":[],"label_agreement":null},{"id":"W2594185196","doi":"10.1016/j.jtbi.2017.02.032","title":"The functional origin of dinosaur bipedalism: Cumulative evidence from bipedally inclined reptiles and disinclined mammals","year":2017,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Paleontology and Evolutionary Biology","field":"Earth and Planetary Sciences","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Bipedalism; Cursorial; Quadrupedalism; Biology; Fossorial; Context (archaeology); Evolutionary biology; Zoology; Eusociality; Ecology; Anatomy; Paleontology; Predation","score_opus":0.04204142480338352,"score_gpt":0.3070196657530788,"score_spread":0.2649782409496953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594185196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927517,0.0038805404,0.00024340178,0.000083513194,0.00000556073,0.0000033530232,0.00016224803,0.000002460115,0.0028671343],"genre_scores_gemma":[0.99850607,0.0010125475,0.00009920307,0.00003799085,0.00000957235,0.0000014444344,0.00019350986,0.0000023557166,0.0001373974],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999514,0.00009722475,0.00004111839,0.00015692275,0.00009760575,0.00009323372],"domain_scores_gemma":[0.9966838,0.0009871577,0.0007127044,0.00039675232,0.0008768871,0.0003428344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011239819,0.00041658166,0.00052093714,0.002533625,0.0010093133,0.0012858539,0.00077807374,0.00058000383,0.0049333414],"category_scores_gemma":[0.002621607,0.00028523116,0.00026231934,0.0019999784,0.001743636,0.00074135995,0.0016614787,0.00047236067,0.00043863812],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057694747,0.000036718695,0.95105106,0.0002854384,0.00056284067,0.0003597561,0.0022465135,0.00013738708,0.012188018,0.0007245727,0.00012572826,0.031705018],"study_design_scores_gemma":[0.0000034350464,0.000044729924,0.99785656,0.000028356788,0.00009689049,0.00030230894,0.00075454224,0.000041091214,0.00016950523,0.00026703664,0.00042968747,0.0000059246863],"about_ca_topic_score_codex":0.0058322805,"about_ca_topic_score_gemma":0.013339738,"teacher_disagreement_score":0.0058322805,"about_ca_system_score_codex":0.0002623121,"about_ca_system_score_gemma":0.00027879223,"threshold_uncertainty_score":0.016503632},"labels":[],"label_agreement":null},{"id":"W2594888622","doi":"10.1016/j.jtbi.2017.02.036","title":"A simple rule of direct reciprocity leads to the stable coexistence of cooperation and defection in the Prisoner's Dilemma game","year":2017,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Prisoner's dilemma; Reciprocity (cultural anthropology); Dilemma; Mathematical economics; Social dilemma; Game theory; Simple (philosophy); Superrationality; Strong reciprocity; Adversary; Economics; Computer science; Microeconomics; Repeated game; Social psychology; Mathematics; Psychology; Epistemology; Computer security","score_opus":0.02338213489914896,"score_gpt":0.3337431728450481,"score_spread":0.31036103794589914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594888622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85371655,0.00024739315,0.11661672,0.0010595672,0.00021468323,0.00006689997,0.00009153154,0.00018923645,0.027797366],"genre_scores_gemma":[0.990135,0.00009332822,0.007673533,0.000075853015,0.000021294501,0.000029310284,0.000014870197,0.000031746727,0.001925048],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990645,0.0004582094,0.000051694868,0.0001652667,0.00013423126,0.00012611086],"domain_scores_gemma":[0.9942159,0.0039409804,0.000443609,0.0006234731,0.00033576676,0.00044026953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017741042,0.00033823197,0.001105652,0.0005784916,0.0010698996,0.0017164897,0.00086506846,0.0015175453,0.0027843998],"category_scores_gemma":[0.012449401,0.00040967934,0.00069241563,0.00031985732,0.0020206987,0.0015646063,0.0010795395,0.0009997145,0.00059671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045276977,0.0001678277,0.0040982943,0.0002448541,0.00018485237,0.0016665297,0.0009376242,0.060444172,0.025736827,0.87645555,0.005148938,0.024461793],"study_design_scores_gemma":[0.00027180632,0.00015626189,0.0019185598,0.000033070402,0.000074753945,0.0012335466,0.00017758251,0.31350404,0.002949798,0.67775106,0.0018519671,0.000077566816],"about_ca_topic_score_codex":0.0006953295,"about_ca_topic_score_gemma":0.00058176916,"teacher_disagreement_score":0.0027843998,"about_ca_system_score_codex":0.00041739337,"about_ca_system_score_gemma":0.0006885162,"threshold_uncertainty_score":0.009382486},"labels":[],"label_agreement":null},{"id":"W2598576732","doi":"10.1016/j.jtbi.2017.07.022","title":"Autocatalytic networks in cognition and the origin of culture","year":2017,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Origins and Evolution of Life","field":"Physics and Astronomy","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Representation (politics); Cognition; Mental representation; Cognitive science; Recall; Episodic memory; Computer science; Transition (genetics); Psychology; Cognitive psychology; Mechanism (biology); Abiogenesis; Epistemology; Chemistry; Biology; Neuroscience; Philosophy","score_opus":0.008912765838855941,"score_gpt":0.28509947061849167,"score_spread":0.27618670477963575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2598576732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6980764,0.010383759,0.18574499,0.010794307,0.00021687902,0.000038984293,0.00008368579,0.00025825843,0.09440276],"genre_scores_gemma":[0.9892943,0.0011763726,0.007825249,0.00009380733,0.00003688165,0.00001693771,0.00001407524,0.000009622153,0.0015326176],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997763,0.00010196796,0.0000074845607,0.000051142615,0.00003178802,0.000031308085],"domain_scores_gemma":[0.9991586,0.00050634815,0.0000960928,0.000107416214,0.00006650386,0.00006499428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068843446,0.00018613719,0.0002672636,0.00070572866,0.0006135324,0.0018714855,0.00063896365,0.00079811976,0.0014572518],"category_scores_gemma":[0.001887368,0.00015661903,0.0003216594,0.0004944081,0.0052060653,0.0033423812,0.0011854722,0.00082679436,0.000140066],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000073034594,0.000006376044,0.0006819419,0.000028801735,0.000010654082,0.00007203226,0.0006041157,0.0075269686,0.00064965995,0.98504156,0.0001693728,0.0052013164],"study_design_scores_gemma":[0.0000035009389,0.000004670624,0.00048552494,0.000009146635,0.0000034556044,0.00003505264,0.0001214037,0.010321445,0.00016807961,0.98690456,0.0019373514,0.0000057300604],"about_ca_topic_score_codex":0.0017986883,"about_ca_topic_score_gemma":0.0009465551,"teacher_disagreement_score":0.0018714855,"about_ca_system_score_codex":0.0012694467,"about_ca_system_score_gemma":0.0005159427,"threshold_uncertainty_score":0.009210527},"labels":[],"label_agreement":null},{"id":"W2599562815","doi":"10.1016/j.jtbi.2017.03.015","title":"Corrigendum to ‘‘Modelling cross-reactivity and memory in the cellular adaptive immune response to influenza infection in the host’’ [J.Theor. Biol. 413 (2017) 34–49]","year":2017,"lang":"en","type":"erratum","venue":"Journal of Theoretical Biology","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Host (biology); Host response; Immune system; Biology; Acquired immune system; Reactivity (psychology); Cross-reactivity; Immunology; Virology; Medicine; Ecology; Cross reactions; Antigen; Pathology","score_opus":0.09597708396864811,"score_gpt":0.4011698098846799,"score_spread":0.30519272591603175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2599562815","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000038149145,0.0013602879,0.0004498355,0.048685838,0.9453142,0.000019434348,0.0005960682,0.00020170718,0.0033344035],"genre_scores_gemma":[0.0051340973,0.011496159,0.0039356714,0.16928867,0.43655252,0.0002753529,0.0032832879,0.0016521355,0.36838222],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9949496,0.00081186474,0.0008252382,0.0007004267,0.0022939509,0.00041889373],"domain_scores_gemma":[0.9762323,0.0062020402,0.00097182585,0.0012242504,0.014332122,0.0010373855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003824718,0.0031584844,0.00324736,0.004225889,0.004247756,0.003747307,0.005287104,0.0093209,0.08216152],"category_scores_gemma":[0.04988682,0.0015710553,0.0032649096,0.002764351,0.0032249712,0.003636804,0.0031753636,0.012923283,0.050550364],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008621183,0.0000041792255,0.000014679664,0.000052680105,0.000005369467,0.00007070384,0.0000107740125,0.000038645718,0.000015724667,0.00055303634,0.9975968,0.0016287414],"study_design_scores_gemma":[0.00003113905,0.000018661056,0.0005455464,0.0002693104,0.000036550373,0.00022835773,0.00004981851,0.00030896152,0.00019367295,0.0033932575,0.9948755,0.000049270286],"about_ca_topic_score_codex":0.057764914,"about_ca_topic_score_gemma":0.08312935,"teacher_disagreement_score":0.08216152,"about_ca_system_score_codex":0.0070799575,"about_ca_system_score_gemma":0.006841172,"threshold_uncertainty_score":0.27485764},"labels":[],"label_agreement":null},{"id":"W2607499822","doi":"10.1016/j.jtbi.2017.04.011","title":"How to be a good neighbour: Facilitation and competition between two co-flowering species","year":2017,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; University of Alberta; Pacific Institute for the Mathematical Sciences","keywords":"Pollinator; Biology; Facilitation; Pollination; Competition (biology); Abiotic component; Ecology; Attractiveness; Interspecific competition; Abundance (ecology); Intraspecific competition","score_opus":0.05805417176739605,"score_gpt":0.2767842531047703,"score_spread":0.21873008133737423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607499822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99140924,0.00015849457,0.0013183926,0.00049712503,0.000012857068,0.0000041726025,0.00000691211,0.000004084139,0.006588676],"genre_scores_gemma":[0.99908864,0.000023175588,0.0003605744,0.000028286913,0.000003028658,0.0000015632761,0.0000026290386,0.0000016357078,0.00049040106],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999703,0.00013285327,0.000008137092,0.000049466224,0.000043829834,0.00006275101],"domain_scores_gemma":[0.9969704,0.0018968319,0.00024906543,0.00013817397,0.00014266428,0.00060288183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008674283,0.00015243875,0.00040425407,0.0003539486,0.0015045669,0.0011197899,0.00060912356,0.0016892545,0.004885851],"category_scores_gemma":[0.0039995275,0.00018046799,0.00023537314,0.00021271975,0.0013763005,0.0011004206,0.001364451,0.0006891483,0.00028333176],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005442277,0.0015435454,0.33068952,0.0014120792,0.00077743974,0.017507132,0.027607923,0.023203792,0.25229448,0.16769277,0.0066116787,0.1652173],"study_design_scores_gemma":[0.00055333343,0.0019886445,0.63834447,0.000193491,0.00076143735,0.018667463,0.045459628,0.090492554,0.008357349,0.1808878,0.013827081,0.00046676732],"about_ca_topic_score_codex":0.003246019,"about_ca_topic_score_gemma":0.013660644,"teacher_disagreement_score":0.004885851,"about_ca_system_score_codex":0.00037477704,"about_ca_system_score_gemma":0.00041433724,"threshold_uncertainty_score":0.016344786},"labels":[],"label_agreement":null},{"id":"W2611535447","doi":"10.1016/j.jtbi.2017.04.026","title":"Mathematical descriptions of indeterminate growth","year":2017,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Ectotherm; Indeterminate; Rainbow trout; Nile tilapia; Sigmoid function; Growth rate; Mathematics; Oreochromis; Growth model; Statistics; Monotonic function; Tilapia; Fish <Actinopterygii>; Biology; Applied mathematics; Econometrics; Biological system; Fishery; Ecology; Mathematical economics; Computer science; Mathematical analysis; Pure mathematics","score_opus":0.021795723945796472,"score_gpt":0.2678156144503036,"score_spread":0.24601989050450712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611535447","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.084640354,0.0027589898,0.7531479,0.0066692056,0.000447975,0.000041421292,0.0004935574,0.00021782226,0.15158282],"genre_scores_gemma":[0.91667265,0.0015903121,0.052198704,0.00048894744,0.0005146425,0.00013752002,0.00024253954,0.00014662457,0.028007923],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99930453,0.00025663292,0.00005238395,0.00008031673,0.00021567752,0.00009050634],"domain_scores_gemma":[0.99710613,0.0017320215,0.00029701527,0.00025973693,0.0003978846,0.00020718761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020381778,0.0010402149,0.0006051455,0.0014952017,0.00090185355,0.0031404314,0.0017765708,0.0018227214,0.0056809704],"category_scores_gemma":[0.008552187,0.0005829189,0.0009951841,0.0011629598,0.0032980384,0.0045874226,0.0017644757,0.0026878589,0.00058443483],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014543803,0.000002669123,0.00003105231,0.000006487587,0.0000014785745,0.000013198428,0.000030803167,0.0029512134,0.000050443894,0.996123,0.0002756943,0.0005125279],"study_design_scores_gemma":[0.0000035072771,0.000002648462,0.000045019235,0.0000052449,0.000001923098,0.000024204413,0.000016649414,0.029458484,0.000038844555,0.9694074,0.0009910758,0.0000050352724],"about_ca_topic_score_codex":0.0017742941,"about_ca_topic_score_gemma":0.0014331732,"teacher_disagreement_score":0.0056809704,"about_ca_system_score_codex":0.002253606,"about_ca_system_score_gemma":0.0010237913,"threshold_uncertainty_score":0.019004762},"labels":[],"label_agreement":null},{"id":"W2622222055","doi":"10.1016/j.jtbi.2017.05.037","title":"Error thresholds for RNA replication in the presence of both point mutations and premature termination errors","year":2017,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ribozyme; Biology; Polymerase; RNA polymerase; Replication (statistics); RNA; Genetics; Computational biology; DNA; Virology; Gene","score_opus":0.012332160055101024,"score_gpt":0.32945952524069894,"score_spread":0.3171273651855979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2622222055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95169306,0.000768001,0.037581064,0.0012564587,0.00014702846,0.00005152509,0.00017580816,0.00057165045,0.0077554556],"genre_scores_gemma":[0.9980065,0.00006708763,0.0014359447,0.00003968338,0.000023029901,0.000018498728,0.000043429398,0.000042195705,0.00032350674],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975896,0.00050093513,0.00017586724,0.00045575722,0.0006515332,0.0006263206],"domain_scores_gemma":[0.93819845,0.048767153,0.0044391965,0.0020879204,0.003413052,0.0030940946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004264185,0.0006708401,0.0013613014,0.002259587,0.0007663833,0.0026742609,0.0013561667,0.002707251,0.0025785668],"category_scores_gemma":[0.044997048,0.0007087036,0.00056678144,0.00054227904,0.0022014847,0.0031622641,0.0020844124,0.0024525765,0.0004775679],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004589715,0.00091770926,0.029019434,0.00089862937,0.00015127963,0.0018985913,0.0016187289,0.37910157,0.20248441,0.33853188,0.0033646259,0.03742343],"study_design_scores_gemma":[0.00021613447,0.00048384734,0.018830158,0.0001583998,0.000080323276,0.000812214,0.0007073563,0.72680736,0.062215254,0.18865763,0.00060455257,0.00042672412],"about_ca_topic_score_codex":0.0011164773,"about_ca_topic_score_gemma":0.00056838786,"teacher_disagreement_score":0.004264185,"about_ca_system_score_codex":0.0014637274,"about_ca_system_score_gemma":0.0010528218,"threshold_uncertainty_score":0.022551477},"labels":[],"label_agreement":null},{"id":"W2624675353","doi":"10.1016/j.jtbi.2017.06.008","title":"Endosymbiosis: The feeling is not mutual","year":2017,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Insect symbiosis and bacterial influences","field":"Agricultural and Biological Sciences","cited_by":122,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institute for Advanced Research","keywords":"Endosymbiosis; Biology; Organelle; Symbiosis; Evolutionary biology; Context (archaeology); Genome; Buchnera; Gene; Ecology; Genetics; Plastid; Paleontology","score_opus":0.023980341778737455,"score_gpt":0.2697643286256355,"score_spread":0.24578398684689803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2624675353","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20892031,0.016743923,0.071905255,0.41245544,0.008377217,0.0000557105,0.00020127336,0.00037010692,0.28097078],"genre_scores_gemma":[0.9630765,0.002678481,0.0045868442,0.019150047,0.0013709649,0.000046877274,0.000042020114,0.00010381072,0.008944526],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99857235,0.0005340602,0.00005690767,0.00032284082,0.00029536168,0.00021846169],"domain_scores_gemma":[0.99660504,0.0012318881,0.0005085014,0.0006293363,0.00043688112,0.0005884488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033536877,0.0002929505,0.0005427708,0.00045467875,0.0022350345,0.0038147566,0.0006952576,0.0033837205,0.008296987],"category_scores_gemma":[0.0066990866,0.0002622601,0.0004006638,0.00030261488,0.015432272,0.014857275,0.0038603002,0.0046088523,0.0010062021],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021290965,0.000059520135,0.0023922068,0.00026964684,0.000072148265,0.00043369376,0.0046999427,0.00034604262,0.0042288234,0.9406321,0.015441655,0.031211168],"study_design_scores_gemma":[0.00010260501,0.00018663917,0.0028040097,0.0001633337,0.00006276486,0.00074040797,0.004118745,0.0007778494,0.00095262163,0.9133455,0.0766681,0.00007748837],"about_ca_topic_score_codex":0.0005427297,"about_ca_topic_score_gemma":0.00043522296,"teacher_disagreement_score":0.008296987,"about_ca_system_score_codex":0.0009608274,"about_ca_system_score_gemma":0.00097005925,"threshold_uncertainty_score":0.027756214},"labels":[],"label_agreement":null},{"id":"W2641090855","doi":"10.1016/j.jtbi.2017.05.038","title":"Evolution of delayed dispersal and subsequent emergence of helping, with implications for cooperative breeding","year":2017,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Bundesinstitut für Sportwissenschaft","keywords":"Biological dispersal; Fecundity; Survivorship curve; Cooperative breeding; Competition (biology); Inclusive fitness; Biology; Ecology; Social evolution; Demography; Evolutionary biology; Cancer; Population; Genetics","score_opus":0.039202448547527746,"score_gpt":0.2772509328971045,"score_spread":0.23804848434957676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2641090855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987275,0.00014839626,0.00032292237,0.00014093328,0.000004500808,0.0000023986363,0.00003223567,0.0000075357807,0.00061354134],"genre_scores_gemma":[0.9993685,0.000057851135,0.0003088616,0.000031621872,0.0000056639446,0.000004021179,0.000027159882,0.0000062140984,0.00019002732],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99947387,0.00020879688,0.00002060647,0.00017871661,0.00004140189,0.000076666656],"domain_scores_gemma":[0.99597317,0.0022224581,0.00084103656,0.00030461515,0.00018436699,0.00047424217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017356756,0.0003578371,0.0003202717,0.0008792066,0.0008247328,0.0011354369,0.0012020436,0.0014628342,0.0055143344],"category_scores_gemma":[0.0048544263,0.0003254616,0.0003194453,0.0005886646,0.0010830015,0.0006106433,0.0007071074,0.0012955798,0.000301555],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00253073,0.0010739424,0.71177787,0.0002948237,0.0007717854,0.0034904196,0.004192626,0.016276315,0.17873761,0.027072018,0.0018452754,0.051936645],"study_design_scores_gemma":[0.00027203944,0.00064147793,0.95705914,0.000038869144,0.0003048043,0.0026218253,0.002048262,0.020428779,0.0024848534,0.01247616,0.0015118298,0.000112008114],"about_ca_topic_score_codex":0.0017905605,"about_ca_topic_score_gemma":0.004386487,"teacher_disagreement_score":0.0055143344,"about_ca_system_score_codex":0.0005631284,"about_ca_system_score_gemma":0.00046786357,"threshold_uncertainty_score":0.01844728},"labels":[],"label_agreement":null},{"id":"W2741753708","doi":"10.1016/j.jtbi.2017.07.029","title":"Competition between injunctive social norms and conservation priorities gives rise to complex dynamics in a model of forest growth and opinion dynamics","year":2017,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; James S. McDonnell Foundation","keywords":"Conformity; Population; Social dynamics; Ecology; Economics; Environmental resource management; Sociology; Psychology; Social psychology; Biology","score_opus":0.014200547414690005,"score_gpt":0.26990056618727337,"score_spread":0.25570001877258336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2741753708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93235016,0.00011319759,0.045230594,0.004605089,0.000060785867,0.000023065288,0.00011884859,0.00008203561,0.017416311],"genre_scores_gemma":[0.9954014,0.000044084976,0.001273353,0.00009421106,0.00002616975,0.000015781497,0.00001686465,0.000016121254,0.0031119878],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935955,0.00033170843,0.00001750771,0.00007335984,0.000059059563,0.00015880445],"domain_scores_gemma":[0.9924043,0.0053288704,0.00072876073,0.00025369588,0.00031416118,0.0009701758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018360933,0.0005130224,0.0008682399,0.00069029577,0.0015665584,0.003511066,0.0015029988,0.0032309731,0.006268821],"category_scores_gemma":[0.009680514,0.0006284626,0.00084405387,0.00059115846,0.0035685536,0.003510539,0.001956045,0.0024257633,0.0003220043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029841976,0.00021231658,0.007873258,0.00006281323,0.00009562049,0.0007866528,0.00091663224,0.38524514,0.0020131294,0.59560746,0.002468826,0.004419788],"study_design_scores_gemma":[0.000085460444,0.00004244865,0.00132934,0.000006495002,0.00003027587,0.00008562066,0.00027602323,0.81858456,0.00009277068,0.17916927,0.00026114332,0.000036648937],"about_ca_topic_score_codex":0.010694474,"about_ca_topic_score_gemma":0.00964762,"teacher_disagreement_score":0.010694474,"about_ca_system_score_codex":0.0016146917,"about_ca_system_score_gemma":0.0010000094,"threshold_uncertainty_score":0.021264434},"labels":[],"label_agreement":null},{"id":"W2758326430","doi":"10.1016/j.jtbi.2017.09.020","title":"Rethinking the evolution of specialization: A model for the evolution of phenotypic heterogeneity","year":2017,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Phenotype; Biology; Genetic heterogeneity; Evolutionary biology; Selection (genetic algorithm); Evolutionary dynamics; Phenotypic trait; Neutral theory of molecular evolution; Phenotypic plasticity; Disruptive selection; Population; Natural selection; Genetics; Gene","score_opus":0.017857914596683965,"score_gpt":0.2975282264878364,"score_spread":0.27967031189115243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2758326430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70075774,0.0012545023,0.25004688,0.012124791,0.00022643006,0.000041113268,0.00027067403,0.00039007072,0.034887854],"genre_scores_gemma":[0.9874644,0.00031648978,0.008982488,0.00036248894,0.00005634617,0.000027558632,0.000043262222,0.000073663134,0.002673136],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992582,0.0002946864,0.000022618116,0.00020235179,0.00009235458,0.00012981314],"domain_scores_gemma":[0.9976592,0.0012834634,0.00019719731,0.00049113616,0.00012120955,0.00024776626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019456382,0.00058377127,0.0010883817,0.00083154405,0.0010817256,0.0033767906,0.0023033603,0.003043982,0.0067879963],"category_scores_gemma":[0.0062213866,0.00047712037,0.0013492467,0.0008324245,0.0037775375,0.005791627,0.0024194377,0.0022280144,0.0007373435],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012864666,0.00006504342,0.005796108,0.00010692721,0.00012872004,0.0005009129,0.00073438784,0.10492946,0.008314648,0.8580512,0.0017617074,0.01948232],"study_design_scores_gemma":[0.00003704572,0.00003475384,0.0022543934,0.000013412223,0.000033543944,0.0002492262,0.00016166839,0.1989206,0.00033012163,0.79633415,0.001591908,0.000039229482],"about_ca_topic_score_codex":0.0024540375,"about_ca_topic_score_gemma":0.0015220802,"teacher_disagreement_score":0.0067879963,"about_ca_system_score_codex":0.0016164806,"about_ca_system_score_gemma":0.0007578817,"threshold_uncertainty_score":0.022708058},"labels":[],"label_agreement":null},{"id":"W2770660328","doi":"10.1016/j.jtbi.2017.11.015","title":"Temporal ordering of substitutions in RNA evolution: Uncovering the structural evolution of the Human Accelerated Region 1","year":2017,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Volkswagen Foundation; Deutsche Forschungsgemeinschaft","keywords":"Evolutionary biology; Biology; Human evolution; Sequence (biology); Human genome; RNA; Computational biology; Genome; Genetics; Gene","score_opus":0.019642709145230787,"score_gpt":0.28397057554466615,"score_spread":0.26432786639943534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770660328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889571,0.0005275128,0.008726545,0.00013993797,0.000014839511,0.0000081085445,0.00020408562,0.000060123293,0.0013617494],"genre_scores_gemma":[0.9969373,0.00018633729,0.0024501213,0.000031271444,0.000009876701,0.0000057765483,0.0001253528,0.000023528555,0.00023045708],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998838,0.000024536826,0.000006231757,0.000043474007,0.00002111043,0.000020870497],"domain_scores_gemma":[0.99901843,0.00044829672,0.0002644096,0.00008961361,0.00009251928,0.00008672058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005647447,0.00012368307,0.00020774163,0.00081912224,0.00026309406,0.0005890488,0.00027592946,0.00027194165,0.0012760194],"category_scores_gemma":[0.002230422,0.00027821606,0.00019236503,0.00082493795,0.00039096113,0.00052908045,0.00030980018,0.0005198635,0.00018725081],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013442028,0.00018538743,0.21737233,0.00038047828,0.00022299307,0.0007734907,0.0007453528,0.03395593,0.62681895,0.040704463,0.0012956996,0.07620076],"study_design_scores_gemma":[0.000103014776,0.00054285047,0.5167214,0.000080613994,0.00036342314,0.0018578654,0.0005643514,0.3507746,0.07005976,0.048981182,0.009805473,0.00014543298],"about_ca_topic_score_codex":0.0014624699,"about_ca_topic_score_gemma":0.0030869567,"teacher_disagreement_score":0.0014624699,"about_ca_system_score_codex":0.00032666177,"about_ca_system_score_gemma":0.0003617152,"threshold_uncertainty_score":0.004268706},"labels":[],"label_agreement":null},{"id":"W2771137919","doi":"10.1016/j.jtbi.2017.12.003","title":"An edge-based SIR model for sexually transmitted diseases on the contact network","year":2017,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Shanghai Leading Academic Discipline Project; Hujiang Foundation of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Sexual contact; Social contact; Basic reproduction number; Degree (music); Enhanced Data Rates for GSM Evolution; Epidemic model; Bipartite graph; Mathematics; Demography; Applied mathematics; Computer science; Biology; Medicine; Human immunodeficiency virus (HIV); Combinatorics; Artificial intelligence; Physics; Virology; Psychology; Environmental health; Social psychology; Population","score_opus":0.16594916722708838,"score_gpt":0.43153234451559297,"score_spread":0.26558317728850456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771137919","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3927872,0.0018519511,0.56169266,0.006482257,0.0002969164,0.00013828176,0.0020652502,0.0004480807,0.034237426],"genre_scores_gemma":[0.9421895,0.0016366341,0.011622366,0.00034623363,0.00032089427,0.00012918905,0.0006399321,0.00010890923,0.04300637],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990964,0.00046971499,0.000028859327,0.0001662026,0.00009233188,0.0001466284],"domain_scores_gemma":[0.9943969,0.0037242114,0.00080350915,0.00023676557,0.0003661373,0.00047241116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019583614,0.0010176784,0.002140193,0.0016506566,0.00072068756,0.002452896,0.0036723255,0.002998985,0.010317016],"category_scores_gemma":[0.007848667,0.00072180625,0.0010700969,0.0017680117,0.0015321224,0.0037585192,0.0016951108,0.0023447068,0.0011696389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025710423,0.0001223074,0.0032709306,0.00012748803,0.000096207055,0.0005505611,0.00027874552,0.48503453,0.0011195476,0.49732113,0.0051478255,0.0066735507],"study_design_scores_gemma":[0.000045122528,0.000047203703,0.0005423577,0.000014333449,0.000036132704,0.00012072375,0.000061751576,0.92536,0.000060404407,0.07284465,0.00084617734,0.000021193466],"about_ca_topic_score_codex":0.005400642,"about_ca_topic_score_gemma":0.003293919,"teacher_disagreement_score":0.010317016,"about_ca_system_score_codex":0.0013923721,"about_ca_system_score_gemma":0.0007963033,"threshold_uncertainty_score":0.03451389},"labels":[],"label_agreement":null},{"id":"W2772852134","doi":"10.1016/j.jtbi.2017.12.010","title":"Exploration of bimodal kinetics in marker digesta outflows using compartmental models","year":2017,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Outflow; Kinetics; Compartment (ship); Biological system; Function (biology); Scheme (mathematics); Flow (mathematics); Constant (computer programming); Time constant; Computer science; Physics; Biophysics; Biology; Mechanics; Mathematics; Cell biology; Mathematical analysis; Geology; Classical mechanics; Meteorology","score_opus":0.041799449608042466,"score_gpt":0.2977609051331542,"score_spread":0.25596145552511174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772852134","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6805794,0.00035799615,0.31380603,0.00044958282,0.000027973276,0.000045938225,0.00029304213,0.00035990094,0.0040801377],"genre_scores_gemma":[0.99161947,0.00012089955,0.0061796526,0.000022344937,0.0000075905796,0.00003364333,0.00007235723,0.000054017673,0.0018900711],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987507,0.000038635357,0.0000072355165,0.000035316785,0.000011703168,0.000031986154],"domain_scores_gemma":[0.9982583,0.0013496684,0.00015712714,0.000057356963,0.00008697865,0.00009061357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007858512,0.00071532174,0.00067528366,0.0005561657,0.0004202075,0.0013840194,0.0009402385,0.0010793431,0.001422762],"category_scores_gemma":[0.0039980994,0.00080370135,0.0011486658,0.00038470185,0.00054606434,0.0012732447,0.0009191227,0.00081114133,0.00018734118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010623849,0.00004095027,0.0029097956,0.00004573324,0.000040974963,0.00009014074,0.000083231505,0.98065096,0.0039920565,0.009922445,0.00014165071,0.0019758313],"study_design_scores_gemma":[0.00000336981,0.000004684228,0.00017907868,0.000001696366,0.000004670284,0.0000058647906,0.000006179184,0.9986671,0.00018853787,0.00089778507,0.000037701466,0.000003247245],"about_ca_topic_score_codex":0.010097223,"about_ca_topic_score_gemma":0.004081889,"teacher_disagreement_score":0.010097223,"about_ca_system_score_codex":0.001012834,"about_ca_system_score_gemma":0.0009197635,"threshold_uncertainty_score":0.02007693},"labels":[],"label_agreement":null},{"id":"W2779882946","doi":"10.1016/j.jtbi.2017.12.016","title":"An isotope dilution model for partitioning of phenylalanine and tyrosine uptake by the liver of lactating dairy cows","year":2017,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Biochemical effects in animals","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Biotechnology and Biological Sciences Research Council; Canada Excellence Research Chairs, Government of Canada; Department for Environment, Food and Rural Affairs, UK Government; Milk Development Council","keywords":"Phenylalanine; Tyrosine; Isotope dilution; Amino acid; Intracellular; Biochemistry; Chemistry; Metabolism; Extracellular; Phenylalanine hydroxylase; Biology; Internal medicine; Chromatography; Medicine; Mass spectrometry","score_opus":0.023653798716258466,"score_gpt":0.3288586828830443,"score_spread":0.3052048841667859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2779882946","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74643886,0.0018944247,0.24016838,0.0018056155,0.000084190666,0.00008531478,0.0006702379,0.00015300685,0.008699975],"genre_scores_gemma":[0.9806363,0.00069738337,0.008567679,0.00014539654,0.000024085393,0.00011716592,0.0002796979,0.000048344682,0.009483908],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990964,0.000030858722,0.0000035516562,0.000025175901,0.000010212166,0.000020436499],"domain_scores_gemma":[0.9997731,0.00013379153,0.000024259427,0.000013030788,0.000029879417,0.000025926038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005098031,0.0005279782,0.0008219108,0.00026768283,0.00032766146,0.000840774,0.0012113381,0.0013615438,0.0015037103],"category_scores_gemma":[0.00097523053,0.00042651553,0.000748479,0.0003686965,0.0005529897,0.0007993033,0.0005042259,0.00055080163,0.00037349426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009025108,0.00011250017,0.00424994,0.0001747944,0.00015440963,0.00044380728,0.00021066886,0.8903862,0.057618707,0.038092818,0.00060897146,0.0070446287],"study_design_scores_gemma":[0.00006268896,0.000057776455,0.0012542288,0.0000059236136,0.00003655628,0.000055415538,0.000022304419,0.9916155,0.0017480406,0.0046998635,0.00042156412,0.000020204783],"about_ca_topic_score_codex":0.013542389,"about_ca_topic_score_gemma":0.0043996824,"teacher_disagreement_score":0.013542389,"about_ca_system_score_codex":0.0010005063,"about_ca_system_score_gemma":0.0006307554,"threshold_uncertainty_score":0.026927114},"labels":[],"label_agreement":null},{"id":"W2789752043","doi":"10.1016/j.jtbi.2018.01.018","title":"The advantage of recombination when selection is acting at many genetic Loci","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Locus (genetics); Genetics; Allele; Recombination; Population; Natural selection; Genotype; Selection (genetic algorithm); Allele frequency; Evolutionary biology; Gene","score_opus":0.004515148131562751,"score_gpt":0.26863620382374376,"score_spread":0.26412105569218103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789752043","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15887143,0.011720434,0.77152234,0.0046447124,0.000736378,0.000080648984,0.00011308156,0.00084377866,0.051467177],"genre_scores_gemma":[0.92779046,0.0038509201,0.057748765,0.00087776146,0.00068349246,0.000121927,0.00010688969,0.00015036862,0.008669456],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969392,0.0014888236,0.00011448507,0.0005733246,0.0006557234,0.00022859934],"domain_scores_gemma":[0.99315333,0.0038632692,0.0011328987,0.0013389346,0.00027046876,0.00024120565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025412345,0.00058673124,0.0009382541,0.0004496842,0.0008481248,0.0019777985,0.0012909828,0.0019741876,0.0032690412],"category_scores_gemma":[0.011015997,0.00036677675,0.0011463604,0.0008555313,0.0022507687,0.004457285,0.0021425385,0.002303998,0.0012364903],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033934426,0.00010755707,0.015858697,0.0006574402,0.00026159722,0.0023121051,0.0016746197,0.02908459,0.040750768,0.7701867,0.002685393,0.13608114],"study_design_scores_gemma":[0.00013922005,0.00090762274,0.014621763,0.00018031539,0.00029365203,0.0244193,0.0004924899,0.109831825,0.019933032,0.7546229,0.07430995,0.00024798003],"about_ca_topic_score_codex":0.00044250948,"about_ca_topic_score_gemma":0.00030265612,"teacher_disagreement_score":0.0032690412,"about_ca_system_score_codex":0.00046996772,"about_ca_system_score_gemma":0.00058150914,"threshold_uncertainty_score":0.0134394765},"labels":[],"label_agreement":null},{"id":"W2790286609","doi":"10.1016/j.jtbi.2018.01.024","title":"Temperature-driven population abundance model for Culex pipiens and Culex restuans (Diptera: Culicidae)","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Canadian Institutes of Health Research","keywords":"Culex pipiens; Culex; Abundance (ecology); West Nile virus; Biology; Vector (molecular biology); Population; Diapause; Ecology; Mosquito control; Trap (plumbing); Zoology; Environmental science; Virus; Larva; Virology; Environmental engineering; Malaria","score_opus":0.010007672564168577,"score_gpt":0.3074416615970459,"score_spread":0.2974339890328773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790286609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7433506,0.0013026968,0.22280836,0.005489642,0.00050486065,0.00015773992,0.004690397,0.00047617053,0.021219477],"genre_scores_gemma":[0.9763464,0.0003188166,0.003790228,0.00022565006,0.00008736899,0.00010403484,0.0007540763,0.000050300572,0.018323096],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996325,0.00013087541,0.00001463695,0.00011133299,0.000033898214,0.000076785225],"domain_scores_gemma":[0.99858737,0.00069246575,0.00018850036,0.000057938818,0.00028875214,0.00018497364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010324587,0.00077921496,0.0014242979,0.00057463936,0.00062213326,0.0011862111,0.002899548,0.0025819417,0.004729231],"category_scores_gemma":[0.0039136633,0.0007731874,0.001167589,0.00061526865,0.0011555204,0.0018191317,0.0012347555,0.001587485,0.00062961003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006080431,0.000035780413,0.00229303,0.000038261707,0.000052304535,0.00014300978,0.00005567274,0.9825508,0.0005664,0.012100838,0.0010388759,0.0010642569],"study_design_scores_gemma":[0.000015875867,0.000017278115,0.0005577026,0.0000030603446,0.0000144735295,0.00002465122,0.000014984596,0.9973774,0.000032058666,0.0017876251,0.00014656218,0.000008391052],"about_ca_topic_score_codex":0.034124833,"about_ca_topic_score_gemma":0.019759059,"teacher_disagreement_score":0.034124833,"about_ca_system_score_codex":0.001385241,"about_ca_system_score_gemma":0.0012113705,"threshold_uncertainty_score":0.06785238},"labels":[],"label_agreement":null},{"id":"W2792330169","doi":"10.1016/j.jtbi.2018.03.029","title":"Identifying essential proteins based on sub-network partition and prioritization by integrating subcellular localization information","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Fundamental Research Funds for Central Universities of the Central South University; National Natural Science Foundation of China","keywords":"Prioritization; Subcellular localization; Computer science; Computational biology; Partition (number theory); False positive paradox; Identification (biology); Biology; Artificial intelligence; Biochemistry; Gene; Mathematics; Engineering","score_opus":0.003485194520666333,"score_gpt":0.22728032643691976,"score_spread":0.22379513191625341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792330169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8302294,0.0011767892,0.16124223,0.0003361675,0.000034695357,0.00013133335,0.002760963,0.0011278961,0.0029603865],"genre_scores_gemma":[0.9442504,0.00055807416,0.050402608,0.000039273487,0.000028638007,0.00005786129,0.0035299552,0.00012664996,0.0010066576],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973303,0.000041053692,0.000020134763,0.000072371,0.00008173623,0.000051610856],"domain_scores_gemma":[0.99909973,0.00033662742,0.00013920433,0.000062986226,0.00021523595,0.0001462896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040791865,0.00091494713,0.0007977951,0.0046793944,0.00044688053,0.0010593998,0.0005480136,0.00041486704,0.0017202065],"category_scores_gemma":[0.0014671505,0.00021630345,0.0007104902,0.0018685332,0.00028606152,0.00093899685,0.0006000984,0.00043782996,0.0004978039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034647505,0.00070038124,0.15663616,0.0012469105,0.0007723424,0.0014921736,0.00027224448,0.10818929,0.5036656,0.013896592,0.0053154477,0.20434818],"study_design_scores_gemma":[0.00010621923,0.00029664914,0.07065704,0.000045408848,0.00072872365,0.00084971706,0.0003012961,0.8323652,0.06358481,0.026923541,0.0040886933,0.000052712327],"about_ca_topic_score_codex":0.0023785243,"about_ca_topic_score_gemma":0.0042298576,"teacher_disagreement_score":0.0046793944,"about_ca_system_score_codex":0.0006512223,"about_ca_system_score_gemma":0.0009894529,"threshold_uncertainty_score":0.0057547092},"labels":[],"label_agreement":null},{"id":"W2794041912","doi":"10.1016/j.jtbi.2018.03.010","title":"Immune system handling time may alter the outcome of competition between pathogens and the immune system","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Immune system; Biology; Pathogen; Host (biology); Predation; Competition (biology); Functional response; Ecology; Acquired immune system; Immunology; Predator","score_opus":0.01836996843633184,"score_gpt":0.2919562881735335,"score_spread":0.27358631973720166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794041912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948992,0.00017819849,0.0025456338,0.00037750855,0.00006333572,0.000007577253,0.000032433854,0.000012746881,0.0018833774],"genre_scores_gemma":[0.9989967,0.000060191633,0.00039805038,0.000061548024,0.000020909692,0.0000053382314,0.000014982654,0.000004755643,0.00043750668],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995332,0.0001358065,0.000018973438,0.00007852041,0.00005608091,0.00017745649],"domain_scores_gemma":[0.9980692,0.0007371546,0.0004947632,0.0001541929,0.000116451076,0.00042824703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010365631,0.0002868519,0.00042359898,0.00025568396,0.0003404316,0.0016379186,0.0005094546,0.00088506285,0.0063634166],"category_scores_gemma":[0.0042001675,0.00021009574,0.00039926844,0.00015294047,0.00057555665,0.00097652525,0.00067186344,0.0011404228,0.0003649999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0075658937,0.0034495292,0.14692359,0.00046392952,0.00067830965,0.0027240606,0.0009905122,0.033408806,0.6616695,0.08448391,0.0022308202,0.055411085],"study_design_scores_gemma":[0.00102105,0.009365809,0.52822846,0.00012297054,0.0011120364,0.00251597,0.002782363,0.17679425,0.054810513,0.21743289,0.0055039427,0.0003097526],"about_ca_topic_score_codex":0.00034297386,"about_ca_topic_score_gemma":0.00033410304,"teacher_disagreement_score":0.0063634166,"about_ca_system_score_codex":0.0004113843,"about_ca_system_score_gemma":0.0005036768,"threshold_uncertainty_score":0.02128774},"labels":[],"label_agreement":null},{"id":"W2797627802","doi":"10.1016/j.jtbi.2018.04.013","title":"Control of clustered action potential firing in a mathematical model of entorhinal cortex stellate cells","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; W. Garfield Weston Foundation; Alzheimer's Society; Garfield Weston Foundation; Wellcome Trust","keywords":"Neuroscience; Bursting; Entorhinal cortex; Local field potential; Physics; Electrophysiology; Biological system; Biology; Hippocampal formation","score_opus":0.02382037186163105,"score_gpt":0.28199611132183544,"score_spread":0.2581757394602044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797627802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5086847,0.0020914783,0.4434774,0.0020665354,0.00017306356,0.00011736149,0.0007246865,0.0004126466,0.042252086],"genre_scores_gemma":[0.9824954,0.00049267156,0.007730179,0.00010667407,0.000040896703,0.00012169845,0.0001150652,0.00006299535,0.008834396],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998548,0.000038456765,0.000008756468,0.000033082575,0.000036546993,0.000028319027],"domain_scores_gemma":[0.9995161,0.00014813646,0.00014647652,0.00002635704,0.00009212109,0.0000707901],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003429392,0.00070664025,0.0009607908,0.0006603666,0.00060991186,0.0011690597,0.0011544719,0.0015952832,0.0020474896],"category_scores_gemma":[0.001201033,0.00044013592,0.001047983,0.00035488486,0.0012811054,0.00080591196,0.00096567627,0.0008920022,0.00034401455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004829721,0.000031405543,0.00095818087,0.000062236075,0.000048272894,0.0002410243,0.00013482691,0.9400712,0.009357267,0.04726125,0.00048202628,0.0013038954],"study_design_scores_gemma":[0.000008479865,0.000010069636,0.00012666818,0.000003709825,0.0000060650214,0.000016100323,0.000010250015,0.99621767,0.00009855741,0.0033475438,0.00014956207,0.000005295634],"about_ca_topic_score_codex":0.012058402,"about_ca_topic_score_gemma":0.007957616,"teacher_disagreement_score":0.012058402,"about_ca_system_score_codex":0.0014582181,"about_ca_system_score_gemma":0.00094176584,"threshold_uncertainty_score":0.023976445},"labels":[],"label_agreement":null},{"id":"W2803248486","doi":"10.1016/j.jtbi.2018.05.027","title":"With-in host dynamics of L. monocytogenes and thresholds for distinct infection scenarios","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Listeria monocytogenes in Food Safety","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Agency of Canada; York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Listeria monocytogenes; Population; Transmission (telecommunications); Host (biology); Asymptomatic; Biology; Susceptible individual; Case fatality rate; Immune system; Environmental health; Risk analysis (engineering); Immunology; Computer science; Medicine; Ecology; Genetics; Bacteria; Internal medicine","score_opus":0.025929423730518146,"score_gpt":0.3208059044315594,"score_spread":0.2948764807010412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803248486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96966416,0.00027233464,0.018958896,0.0014245955,0.000042107727,0.000025129817,0.000085944346,0.00010922684,0.009417569],"genre_scores_gemma":[0.99834645,0.000056657147,0.00079718244,0.0000474311,0.000008965891,0.000010011755,0.000023921952,0.000011607218,0.00069790013],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995388,0.0001350423,0.000017314831,0.0000710786,0.00004509142,0.00019275359],"domain_scores_gemma":[0.9969261,0.0017519403,0.0004125957,0.00016222126,0.00017198909,0.00057510624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012839376,0.0005301034,0.0007273784,0.00087103486,0.00081421883,0.0027652767,0.0012039831,0.002001817,0.005457305],"category_scores_gemma":[0.0069370028,0.0004397113,0.0007148042,0.00027364262,0.0013599842,0.004108335,0.0018547535,0.0013467136,0.00032845145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091721845,0.00055091135,0.022495212,0.00029310543,0.00008452194,0.0015547351,0.0010412267,0.15516454,0.053875532,0.74963474,0.0023318257,0.012056404],"study_design_scores_gemma":[0.00010346688,0.00026686885,0.00994205,0.000052046904,0.00005402523,0.0007205859,0.0011862478,0.61846393,0.0049385205,0.36350742,0.00065930793,0.000105498824],"about_ca_topic_score_codex":0.00063995854,"about_ca_topic_score_gemma":0.0005160464,"teacher_disagreement_score":0.005457305,"about_ca_system_score_codex":0.001146883,"about_ca_system_score_gemma":0.00045666908,"threshold_uncertainty_score":0.018256545},"labels":[],"label_agreement":null},{"id":"W2803581398","doi":"10.1016/j.jtbi.2018.05.007","title":"Sequential interactions—in which one player plays first and another responds—promote cooperation in evolutionary-dynamical simulations of single-shot Prisoner's Dilemma and Snowdrift games","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; University of Lethbridge","keywords":"Prisoner's dilemma; Dilemma; Shot (pellet); One shot; Computer science; Single shot; Evolutionary biology; Game theory; Biology; Mathematical economics; Physics; Mathematics; Chemistry; Philosophy; Epistemology; Engineering","score_opus":0.03169779959362879,"score_gpt":0.32289942006980804,"score_spread":0.29120162047617926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803581398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927617,0.00003617191,0.0043521067,0.00028351787,0.000026952346,0.000020014142,0.0000172014,0.000029125655,0.0024731169],"genre_scores_gemma":[0.9981768,0.00002425988,0.001134005,0.000029909565,0.000005639399,0.000022754539,0.000014040902,0.0000113207025,0.0005812479],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996561,0.00015693728,0.000013439549,0.00003766225,0.000051825766,0.000084013205],"domain_scores_gemma":[0.9956713,0.0031426614,0.00024029714,0.00013159237,0.00019474466,0.00061930757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012673875,0.00041798683,0.00087047694,0.0009459011,0.0013082064,0.0014751877,0.0009346941,0.0013124007,0.0030125037],"category_scores_gemma":[0.008571993,0.0005179674,0.0006613674,0.0003597886,0.0020818817,0.0018217952,0.0011912294,0.001095795,0.00017874227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037872329,0.00035467526,0.008203642,0.000094985146,0.00011686069,0.00033235239,0.0010245491,0.9205155,0.004399433,0.059601683,0.0012455183,0.003732075],"study_design_scores_gemma":[0.000094206625,0.000097427306,0.0010828753,0.000011720341,0.000021487835,0.000022839307,0.00020404636,0.9867943,0.0003668478,0.011108577,0.0001786756,0.00001700139],"about_ca_topic_score_codex":0.008848459,"about_ca_topic_score_gemma":0.010181795,"teacher_disagreement_score":0.008848459,"about_ca_system_score_codex":0.0010985605,"about_ca_system_score_gemma":0.0012526566,"threshold_uncertainty_score":0.01759392},"labels":[],"label_agreement":null},{"id":"W2805215047","doi":"10.1016/j.jtbi.2018.06.006","title":"Edge-based epidemic spreading in degree-correlated complex networks","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Degree (music); Epidemic model; Degree distribution; Exponential growth; Population; Mathematics; Complex network; Basic reproduction number; Network model; Node (physics); Scale-free network; Statistical physics; Computer science; Statistics; Combinatorics; Physics; Demography; Artificial intelligence","score_opus":0.024642381992067634,"score_gpt":0.3113731357944114,"score_spread":0.28673075380234375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805215047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5981825,0.0006731677,0.3967004,0.0007188365,0.000040686424,0.00006535154,0.00018295251,0.00018056396,0.003255515],"genre_scores_gemma":[0.98853755,0.0003360253,0.009345588,0.00006225756,0.000023339886,0.00002647496,0.00008732901,0.0000190548,0.0015623245],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945086,0.00023202514,0.000027757713,0.00012334732,0.00009573119,0.00007035851],"domain_scores_gemma":[0.9896403,0.007659002,0.0011396995,0.0005302636,0.0007006161,0.0003299886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001778704,0.00044030082,0.00087211485,0.0020307251,0.0006731261,0.0015987518,0.0014275931,0.0014789694,0.0013525106],"category_scores_gemma":[0.0144841885,0.00063565635,0.00070791016,0.001194139,0.0015634537,0.0029802236,0.0013584994,0.0011258336,0.00018981351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020490035,0.000114024,0.00920871,0.0001534447,0.00012918419,0.00038019853,0.00045491985,0.8072708,0.006139661,0.16095428,0.0011719397,0.013817788],"study_design_scores_gemma":[0.000008144469,0.000012642668,0.0009796006,0.000008192799,0.000014380895,0.000060451384,0.000029263421,0.97456896,0.0002752755,0.023928724,0.0001040575,0.000010324087],"about_ca_topic_score_codex":0.0026809934,"about_ca_topic_score_gemma":0.0026237099,"teacher_disagreement_score":0.0026809934,"about_ca_system_score_codex":0.0007989237,"about_ca_system_score_gemma":0.00045439217,"threshold_uncertainty_score":0.009406805},"labels":[],"label_agreement":null},{"id":"W2807106846","doi":"10.1016/j.jtbi.2018.09.010","title":"The invasion speed of cell migration models with realistic cell cycle time distributions","year":2018,"lang":"en","type":"preprint","venue":"Journal of Theoretical Biology","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Erlang (programming language); Laplace transform; Exponential distribution; Stochastic modelling; Exponential function; Computation; Distributed element model; Applied mathematics; Exponential growth; Range (aeronautics); Computer science; Representation (politics); Erlang distribution; Mathematics; Mathematical optimization; Statistical physics; Mathematical analysis; Algorithm; Physics; Statistics; Engineering; Theoretical computer science","score_opus":0.02291916085330432,"score_gpt":0.2828558676386504,"score_spread":0.2599367067853461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807106846","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4234733,0.0010814881,0.56786007,0.0006782379,0.000059664417,0.0000672996,0.00011333509,0.00017379512,0.00649286],"genre_scores_gemma":[0.98005563,0.0005529717,0.016748594,0.000052053827,0.00003440469,0.00007515292,0.00008694817,0.000031971835,0.0023622082],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952185,0.00014929802,0.000028142946,0.0000865835,0.00011225959,0.000101927144],"domain_scores_gemma":[0.99645436,0.0022249245,0.0007684207,0.00018102123,0.00024028301,0.0001309272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013138396,0.00081419124,0.00059752417,0.0011988544,0.0004294008,0.0010822909,0.0009255012,0.0012759526,0.00072052144],"category_scores_gemma":[0.00869809,0.0004974875,0.00089102995,0.0006863974,0.0010563652,0.0018048682,0.0008278219,0.0011439768,0.00015329891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063962005,0.00006095537,0.0026847275,0.00009433088,0.000029256358,0.00019404915,0.00019434046,0.8959238,0.008285362,0.087757476,0.0003793277,0.0043323664],"study_design_scores_gemma":[0.0000042370216,0.00001504747,0.00029250133,0.0000050350195,0.0000061844626,0.000049242622,0.000016167767,0.98643607,0.00047114535,0.012498579,0.00019809813,0.0000076152282],"about_ca_topic_score_codex":0.0031361175,"about_ca_topic_score_gemma":0.0016357017,"teacher_disagreement_score":0.0031361175,"about_ca_system_score_codex":0.001331133,"about_ca_system_score_gemma":0.0007506397,"threshold_uncertainty_score":0.009658098},"labels":[],"label_agreement":null},{"id":"W2810161095","doi":"10.1016/j.jtbi.2018.11.019","title":"Asymmetric evolutionary games with environmental feedback","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":109,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada","keywords":"Evolutionary dynamics; Homogeneous; Evolutionary game theory; Quality (philosophy); Environmental quality; Computer science; Abundance (ecology); Ecology; Dynamics (music); Ecosystem; Game theory; Evolutionary biology; Biology; Statistical physics; Microeconomics; Economics; Psychology; Physics; Population","score_opus":0.006825830792458448,"score_gpt":0.26430619765727775,"score_spread":0.2574803668648193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810161095","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43343362,0.0003395763,0.4980615,0.0047132876,0.0003015842,0.00019011935,0.00039408862,0.00014477594,0.06242138],"genre_scores_gemma":[0.9794692,0.00015759487,0.010086509,0.00018671872,0.00009184795,0.000110965935,0.00006219308,0.000017051423,0.009817973],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979686,0.0011237991,0.00008299021,0.00017524097,0.00040446606,0.00024480035],"domain_scores_gemma":[0.9920443,0.0056368373,0.00073703163,0.00054865953,0.0005174197,0.00051581085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022850446,0.0008846717,0.0010987201,0.000792814,0.00071871886,0.0016893928,0.0018376085,0.0023975803,0.0053685005],"category_scores_gemma":[0.013822599,0.00046013834,0.000612853,0.0007032238,0.0014820682,0.0034263234,0.002395444,0.0020822752,0.00041324244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016733266,0.000092357535,0.00070245465,0.00009621165,0.000045819736,0.00045122468,0.0002050052,0.08860974,0.0017464806,0.89839894,0.0014232951,0.008061104],"study_design_scores_gemma":[0.00011086719,0.00006448831,0.00047213378,0.00001746575,0.00003864086,0.00023033784,0.00010584138,0.34923282,0.0003854298,0.6476684,0.0016491311,0.000024513442],"about_ca_topic_score_codex":0.00073307636,"about_ca_topic_score_gemma":0.0006816676,"teacher_disagreement_score":0.0053685005,"about_ca_system_score_codex":0.0010692502,"about_ca_system_score_gemma":0.0008529352,"threshold_uncertainty_score":0.017959416},"labels":[],"label_agreement":null},{"id":"W2819453093","doi":"10.1016/j.jtbi.2018.07.010","title":"Vaccination threshold size and backward bifurcation of SIR model with state-dependent pulse control","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Population; Bifurcation; Epidemic model; Control theory (sociology); Mathematics; Transcritical bifurcation; Population size; Vaccination; Bifurcation theory; Control (management); Computer science; Biology; Physics; Demography; Artificial intelligence; Virology; Nonlinear system","score_opus":0.013341125288560185,"score_gpt":0.2899785947996959,"score_spread":0.2766374695111357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2819453093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8220104,0.0009914254,0.15164822,0.0029011534,0.00020416612,0.00008170925,0.00027793826,0.00031618882,0.02156874],"genre_scores_gemma":[0.9948337,0.00014878722,0.0012270708,0.00005638946,0.00003360592,0.000021277354,0.000034188273,0.00001934615,0.003625584],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971884,0.00008099196,0.000011024012,0.000054643933,0.00003190923,0.000102525206],"domain_scores_gemma":[0.9970585,0.0016178376,0.0005182894,0.00011891192,0.00031926137,0.00036717157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012071863,0.00066971674,0.0015530895,0.0013599978,0.0007294915,0.0015585939,0.0012504827,0.0021532152,0.0044983607],"category_scores_gemma":[0.0060202936,0.00050299073,0.001142455,0.00035738334,0.0015377458,0.0018233472,0.0012771045,0.0014073652,0.00033545948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059660175,0.00028827693,0.010990347,0.00031468418,0.00020930474,0.0013614551,0.00060646347,0.52694416,0.021316838,0.42456976,0.0038930976,0.008909052],"study_design_scores_gemma":[0.000038362705,0.00004536776,0.0014261407,0.000017085526,0.000050592622,0.00014633039,0.000068685724,0.9622932,0.00040880547,0.035299387,0.00017974057,0.000026219112],"about_ca_topic_score_codex":0.0032930877,"about_ca_topic_score_gemma":0.0015506595,"teacher_disagreement_score":0.0044983607,"about_ca_system_score_codex":0.001191339,"about_ca_system_score_gemma":0.0010348635,"threshold_uncertainty_score":0.015048504},"labels":[],"label_agreement":null},{"id":"W2837668079","doi":"10.1016/j.jtbi.2018.07.003","title":"Beyond replicator dynamics: From frequency to density dependent models of evolutionary games","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Horizon 2020; Natural Sciences and Engineering Research Council of Canada","keywords":"Replicator equation; Population; Evolutionarily stable strategy; Evolutionary dynamics; Stochastic game; Population size; Evolutionary game theory; Game theory; Nash equilibrium; Mathematics; Mathematical economics; Demography","score_opus":0.011109753374434293,"score_gpt":0.2913099918685729,"score_spread":0.2802002384941386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2837668079","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17212422,0.004444009,0.76033705,0.009392929,0.0005219834,0.0001021742,0.00026586192,0.00025089577,0.05256083],"genre_scores_gemma":[0.9563478,0.0028729555,0.026130758,0.0007202058,0.00054432586,0.00011756435,0.00009233595,0.0001029045,0.013071112],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904484,0.0005766193,0.000030090967,0.00009460803,0.00014133142,0.00011242678],"domain_scores_gemma":[0.99311525,0.004902883,0.00053732056,0.0006514353,0.00038527785,0.00040788797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002275234,0.000926515,0.0020718193,0.0012038826,0.0010994112,0.0033245885,0.0033224185,0.0033081607,0.0053705047],"category_scores_gemma":[0.013454217,0.00071650784,0.0015979909,0.0011218314,0.0028348323,0.0076457253,0.0023316103,0.0035737336,0.0006335126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014623806,0.0000325579,0.00053145946,0.00004408614,0.000027098638,0.00008154217,0.00021016963,0.057110745,0.00026449238,0.9379526,0.0010311442,0.002699652],"study_design_scores_gemma":[0.000012111581,0.000011809564,0.00012963066,0.000014794117,0.000012407102,0.00004371667,0.00004222486,0.27928713,0.00002984293,0.71968096,0.000722128,0.000013178228],"about_ca_topic_score_codex":0.0032882157,"about_ca_topic_score_gemma":0.0018963577,"teacher_disagreement_score":0.0053705047,"about_ca_system_score_codex":0.0013288308,"about_ca_system_score_gemma":0.0012499505,"threshold_uncertainty_score":0.017966092},"labels":[],"label_agreement":null},{"id":"W2887553267","doi":"10.1016/j.jtbi.2018.08.015","title":"Consequences of culturally-driven ecological specialization: Killer whales and beyond","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Island University; Dalhousie University","funders":"","keywords":"Ecology; Natural selection; Biology; Coevolution; Abundance (ecology); Population; Niche; Predation; Geography; Demography; Sociology","score_opus":0.016297998478598672,"score_gpt":0.31306927516387617,"score_spread":0.2967712766852775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887553267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98155403,0.0001790575,0.0017792817,0.0019946382,0.00002127406,0.000004806097,0.00003083111,0.0000065653476,0.014429484],"genre_scores_gemma":[0.999482,0.000053350443,0.00012705756,0.00012960815,0.0000049078826,0.0000019998852,0.000004824453,0.000001613778,0.00019472989],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995028,0.00021295855,0.000017820634,0.00008953623,0.000048338734,0.00012842745],"domain_scores_gemma":[0.99833703,0.0006047621,0.0002815145,0.00027552742,0.0001423539,0.0003588076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008456128,0.00024869086,0.00039033662,0.00037748853,0.00083172554,0.0014029993,0.0004906623,0.0012907352,0.0042942367],"category_scores_gemma":[0.004068192,0.00015415568,0.0002764055,0.0003542134,0.0032335003,0.0015116653,0.0021999164,0.00094786513,0.00016940995],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001130832,0.0009345946,0.25997457,0.00052103517,0.00061213755,0.008940871,0.016346794,0.02415325,0.07762502,0.50249696,0.00490514,0.10235872],"study_design_scores_gemma":[0.00010445852,0.00029856784,0.38103887,0.0000767843,0.00013838492,0.0021107974,0.021360373,0.008795157,0.00215757,0.5797621,0.004028276,0.00012864507],"about_ca_topic_score_codex":0.0030952222,"about_ca_topic_score_gemma":0.004641445,"teacher_disagreement_score":0.0042942367,"about_ca_system_score_codex":0.0005243799,"about_ca_system_score_gemma":0.00047437314,"threshold_uncertainty_score":0.014365673},"labels":[],"label_agreement":null},{"id":"W2890039560","doi":"10.1016/j.jtbi.2018.09.008","title":"A coupled bulk-surface model for cell polarisation","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Microtubule and mitosis dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":71,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; University of British Columbia","funders":"Engineering and Physical Sciences Research Council","keywords":"Generality; Perturbation (astronomy); Statistical physics; Finite element method; Surface (topology); Pattern formation; Physics; Mathematical model; Perturbation theory (quantum mechanics); Partial differential equation; Biological system; Work (physics); Mathematics; Classical mechanics; Mathematical analysis; Geometry; Quantum mechanics; Biology","score_opus":0.008072390862235105,"score_gpt":0.2649403666145962,"score_spread":0.2568679757523611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890039560","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3964344,0.0024618509,0.43905222,0.008013562,0.0008559808,0.00013954459,0.0006932141,0.00069256267,0.15165664],"genre_scores_gemma":[0.948049,0.00068331225,0.009573041,0.0004780435,0.00016597031,0.00013068023,0.00016022717,0.00016028142,0.040599313],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997917,0.000053227504,0.000006998115,0.000042471045,0.00005083986,0.00005467158],"domain_scores_gemma":[0.9995347,0.00017268135,0.00003910077,0.00004958182,0.000087598986,0.000116342024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040004493,0.00084548345,0.0015677746,0.00064511196,0.0009027085,0.0018764401,0.0024916264,0.0039085047,0.009781276],"category_scores_gemma":[0.0012376456,0.00066788646,0.001211052,0.0006049803,0.0019836107,0.0025490155,0.0021045203,0.001555413,0.0014081569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002013324,0.00011016523,0.0003359089,0.00014573534,0.000048644764,0.00044048112,0.00016537808,0.45258707,0.016543029,0.5227126,0.0029542216,0.0037554791],"study_design_scores_gemma":[0.00007618216,0.000037197187,0.00013181021,0.0000072243433,0.000014239414,0.00005080656,0.00004105696,0.92712677,0.00043232055,0.071315356,0.00074457115,0.000022393519],"about_ca_topic_score_codex":0.0038432705,"about_ca_topic_score_gemma":0.0021140247,"teacher_disagreement_score":0.009781276,"about_ca_system_score_codex":0.0014188834,"about_ca_system_score_gemma":0.00096844183,"threshold_uncertainty_score":0.03272164},"labels":[],"label_agreement":null},{"id":"W2890651660","doi":"10.1016/j.jtbi.2018.09.013","title":"Modeling the crosstalk between the circadian clock and ROS in Neurospora crassa","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Circadian rhythm and melatonin","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds de Recherche du Québec - Santé; National Natural Science Foundation of China","keywords":"Circadian rhythm; Neurospora crassa; Circadian clock; Biology; Crosstalk; Cell biology; Bacterial circadian rhythms; Neurospora; Oscillating gene; Reactive oxygen species; Neuroscience; Genetics; Gene; Physics; Mutant","score_opus":0.025440445765020775,"score_gpt":0.29075957799720925,"score_spread":0.2653191322321885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890651660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9036744,0.00060240156,0.07272146,0.001015039,0.000097027056,0.000045807556,0.0006029361,0.00025814923,0.020982737],"genre_scores_gemma":[0.99211967,0.0001803039,0.0044835038,0.000048608916,0.000010711151,0.000039213777,0.00009657824,0.000037671478,0.0029835685],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999243,0.000019957517,0.0000035114347,0.00001602534,0.000012149767,0.000024053763],"domain_scores_gemma":[0.9994715,0.0003275431,0.00006015211,0.0000226938,0.000062657615,0.00005546336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026800894,0.0005020119,0.0006504268,0.00031637354,0.0004747273,0.0007026932,0.0010415373,0.0012238229,0.002370917],"category_scores_gemma":[0.0011068771,0.0004122961,0.00064013636,0.00033326956,0.0005161928,0.0005228606,0.0004997946,0.0006375545,0.00017073369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028090888,0.000017712595,0.00048803963,0.000019987736,0.0000120969935,0.00003482202,0.000012752867,0.9930113,0.0012629441,0.00442184,0.00010767906,0.0005827019],"study_design_scores_gemma":[0.000011105694,0.000007661983,0.00016720546,0.0000015617085,0.0000071262953,0.0000031315012,0.000010335271,0.99847144,0.00014858122,0.0010518542,0.000116778094,0.000003206417],"about_ca_topic_score_codex":0.063202806,"about_ca_topic_score_gemma":0.03903477,"teacher_disagreement_score":0.063202806,"about_ca_system_score_codex":0.0013898285,"about_ca_system_score_gemma":0.0017871122,"threshold_uncertainty_score":0.12566984},"labels":[],"label_agreement":null},{"id":"W2890921555","doi":"10.1016/j.jtbi.2018.09.019","title":"A comparison of stable and fluctuating resources with respect to evolutionary adaptation and life-history traits using individual-based modeling and machine learning","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Phenotypic plasticity; Adaptation (eye); Resource (disambiguation); Biology; Ecology; Experimental evolution; Evolutionary biology; Computer science; Gene; Neuroscience; Genetics","score_opus":0.0767123450069483,"score_gpt":0.2842926057017716,"score_spread":0.20758026069482333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890921555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.920467,0.00021799181,0.07683584,0.0003688946,0.000016554384,0.00001727864,0.00010241322,0.00007377012,0.0019002365],"genre_scores_gemma":[0.99198204,0.00006774335,0.007403099,0.000020633872,0.0000063088096,0.00001659068,0.00006268427,0.000023130626,0.000417825],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997204,0.00015412517,0.000012505545,0.00006612903,0.00002342948,0.000023391078],"domain_scores_gemma":[0.9930842,0.005983471,0.00033406573,0.0002570382,0.00019812047,0.00014301922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022348133,0.00029128784,0.00060561317,0.0006625699,0.00035330182,0.00095629523,0.0008571167,0.00091466116,0.0010727018],"category_scores_gemma":[0.00949132,0.00028920913,0.0007221671,0.0005736237,0.00067161734,0.0012291634,0.00047634583,0.0006050135,0.000097935466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007169547,0.00003311463,0.006474034,0.000019441892,0.00006925807,0.000026101417,0.000042539825,0.9829647,0.0004603893,0.0045163077,0.00009969064,0.0052227685],"study_design_scores_gemma":[0.0000038402814,0.0000138902515,0.0016137427,0.0000015697166,0.000010589976,0.000008026887,0.000008059926,0.9961414,0.00005199794,0.002110987,0.000031639112,0.0000043108316],"about_ca_topic_score_codex":0.0068122884,"about_ca_topic_score_gemma":0.0040831184,"teacher_disagreement_score":0.0068122884,"about_ca_system_score_codex":0.000943328,"about_ca_system_score_gemma":0.00051758956,"threshold_uncertainty_score":0.013545275},"labels":[],"label_agreement":null},{"id":"W2892136592","doi":"10.1016/j.jtbi.2018.09.014","title":"Hybrid models of genetic networks: Mathematical challenges and biological relevance","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; McGill University","funders":"","keywords":"Ordinary differential equation; Nonlinear system; Biological network; Computer science; Simple (philosophy); Differential equation; Class (philosophy); Gene regulatory network; Relevance (law); Mathematics; Piecewise linear function; Applied mathematics; Biological system; Theoretical computer science; Artificial intelligence; Biology; Mathematical analysis; Physics; Gene","score_opus":0.01578161612112383,"score_gpt":0.2510893192881577,"score_spread":0.23530770316703387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892136592","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08730563,0.0021432098,0.8856231,0.009430289,0.00016634309,0.000032412892,0.00028908867,0.00019781518,0.014812112],"genre_scores_gemma":[0.9146798,0.0021482063,0.07325422,0.0007765836,0.000521993,0.00016854655,0.0002610525,0.0001092589,0.008080385],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99885285,0.00070285634,0.000033083477,0.00014047873,0.00018586693,0.000084841886],"domain_scores_gemma":[0.993052,0.005482953,0.00045321783,0.00041494562,0.0002775606,0.0003194045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024209206,0.00076593796,0.0014629491,0.0010309367,0.00064106775,0.0035940788,0.003101486,0.0028713755,0.0030474714],"category_scores_gemma":[0.009146016,0.0007415617,0.001198109,0.0011188111,0.003152864,0.0064738295,0.0020447827,0.0026921444,0.00035348712],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019492949,0.00002729469,0.0003736086,0.000043890646,0.000040595925,0.000055146997,0.00006320994,0.17025062,0.00026166957,0.8253124,0.00084058946,0.0027115105],"study_design_scores_gemma":[0.000010541528,0.0000075409357,0.00009361699,0.0000067492415,0.0000071867917,0.000022222797,0.000022419854,0.39680973,0.000034136705,0.60244566,0.0005317689,0.00000849336],"about_ca_topic_score_codex":0.0022573296,"about_ca_topic_score_gemma":0.002346087,"teacher_disagreement_score":0.0035940788,"about_ca_system_score_codex":0.0016169939,"about_ca_system_score_gemma":0.00076793646,"threshold_uncertainty_score":0.012803197},"labels":[],"label_agreement":null},{"id":"W2892721734","doi":"10.1016/j.jtbi.2018.09.029","title":"Allelic frequency estimation in presence of uncertain priors","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Prior probability; Hyperparameter; Bayes' theorem; Estimator; Mathematics; Statistics; Bayes estimator; Bayes factor; Computer science; Bayesian probability; Artificial intelligence","score_opus":0.014404230692381951,"score_gpt":0.31967981363240794,"score_spread":0.305275582940026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892721734","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029080704,0.0003506762,0.9695728,0.00042161843,0.00002467088,0.000013752959,0.00006603378,0.0000863302,0.00038346462],"genre_scores_gemma":[0.6548018,0.00075103494,0.3403903,0.00033681703,0.00031115033,0.0001403041,0.00050697516,0.00015772061,0.0026039209],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9934475,0.0039612968,0.0003287175,0.0012976824,0.00069112243,0.00027360566],"domain_scores_gemma":[0.88154024,0.11095088,0.0024465295,0.0030861371,0.0014488539,0.00052735506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018258868,0.00073741947,0.0023464442,0.0023345973,0.0009149187,0.0038454668,0.004200592,0.003055367,0.0016069448],"category_scores_gemma":[0.087594725,0.0022594677,0.0014643464,0.0022068205,0.002812371,0.0059729903,0.00350354,0.0033082345,0.00038965122],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003780619,0.000111754984,0.011338595,0.00023502464,0.00042820355,0.00041387771,0.00057660637,0.7082293,0.0021279086,0.19521554,0.0011120246,0.07983318],"study_design_scores_gemma":[0.00002502771,0.000013499712,0.0008628946,0.000018247836,0.0000424084,0.00012836981,0.000025572013,0.86067283,0.0004800911,0.13730125,0.00040002062,0.00002972511],"about_ca_topic_score_codex":0.0043096514,"about_ca_topic_score_gemma":0.0038106274,"teacher_disagreement_score":0.018258868,"about_ca_system_score_codex":0.0012448794,"about_ca_system_score_gemma":0.0011249037,"threshold_uncertainty_score":0.09656328},"labels":[],"label_agreement":null},{"id":"W2894116022","doi":"10.1016/j.jtbi.2018.09.027","title":"Assessing the spread of foot and mouth disease in mainland China by dynamical switching model","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China; Research and Development; Natural Science Foundation of Shanxi Province; National Science Foundation","keywords":"Mainland China; Transmission (telecommunications); Disease; China; Foot-and-mouth disease; Biology; Virology; Outbreak; Geography; Medicine; Computer science; Telecommunications","score_opus":0.016685858649586334,"score_gpt":0.2878392903661301,"score_spread":0.27115343171654377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894116022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99566936,0.00004520051,0.0038800563,0.00007968521,0.000004738213,0.000010099728,0.000078718556,0.000016105721,0.00021598063],"genre_scores_gemma":[0.9992969,0.000025595184,0.00040238546,0.0000065706354,0.0000036579395,0.0000065148965,0.00010354282,0.0000014981075,0.00015327438],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994461,0.00021205518,0.000028193354,0.00014112954,0.000041257586,0.00013124644],"domain_scores_gemma":[0.9945146,0.0038839406,0.0007250038,0.00019335932,0.00025808165,0.00042512608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002437441,0.00079366035,0.00090218266,0.0013288308,0.00048746038,0.0009999055,0.0014789758,0.0013764835,0.0013745433],"category_scores_gemma":[0.006462133,0.00050545466,0.0009572962,0.00053954544,0.0006730946,0.0015450977,0.0008656081,0.00077461445,0.00010346515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019070893,0.00012901478,0.097567745,0.000043129887,0.0002475413,0.00022748574,0.00009968852,0.89483374,0.0007499406,0.0024329482,0.00021849653,0.003259562],"study_design_scores_gemma":[0.000012585081,0.000048200967,0.0066881687,0.000002087669,0.000033762746,0.000013772784,0.00003446289,0.99254894,0.00005205215,0.0005401525,0.000018964,0.000006728033],"about_ca_topic_score_codex":0.04633616,"about_ca_topic_score_gemma":0.016445838,"teacher_disagreement_score":0.04633616,"about_ca_system_score_codex":0.001525774,"about_ca_system_score_gemma":0.001105613,"threshold_uncertainty_score":0.092132926},"labels":[],"label_agreement":null},{"id":"W2896598011","doi":"10.1016/j.jtbi.2018.10.033","title":"Bimatrix games that include interaction times alter the evolutionary outcome: The Owner–Intruder game","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Horizon 2020","keywords":"Dove; Replicator equation; Mathematical economics; Outcome (game theory); Nash equilibrium; Boundary (topology); Stability (learning theory); Repeated game; Evolutionarily stable strategy; Mathematics; Game theory; Computer science; Demography","score_opus":0.02471673951646176,"score_gpt":0.3585843576849269,"score_spread":0.33386761816846516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896598011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94305277,0.00006206054,0.045616664,0.0006287854,0.000046395726,0.000033326756,0.00003265826,0.000025841735,0.010501431],"genre_scores_gemma":[0.99226743,0.00003598428,0.005601992,0.00007731375,0.000013292756,0.000022753014,0.000009473207,0.00000826792,0.001963539],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991824,0.0005319266,0.000024000758,0.00008146273,0.000077484634,0.00010269305],"domain_scores_gemma":[0.99471694,0.0037607334,0.0005516126,0.00038674477,0.00012353233,0.00046036817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023559537,0.00067079114,0.00073532754,0.00034787788,0.00067953067,0.0013734003,0.0010346915,0.0014685126,0.0041353228],"category_scores_gemma":[0.009628235,0.00034535312,0.0004161278,0.0002131896,0.0014953804,0.0028373918,0.0016817158,0.001679658,0.00020633845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00286803,0.0017283664,0.0124249365,0.0002448158,0.00045815823,0.0011896585,0.0016448802,0.15404016,0.034775354,0.738065,0.0025758883,0.049984757],"study_design_scores_gemma":[0.0004862675,0.0012518056,0.008183667,0.000027850736,0.00018537999,0.0005923259,0.0007092076,0.48689625,0.003053291,0.49672428,0.0017861993,0.00010359989],"about_ca_topic_score_codex":0.00059713185,"about_ca_topic_score_gemma":0.00091179245,"teacher_disagreement_score":0.0041353228,"about_ca_system_score_codex":0.00046430223,"about_ca_system_score_gemma":0.0005369884,"threshold_uncertainty_score":0.013834},"labels":[],"label_agreement":null},{"id":"W2896638318","doi":"10.1016/j.jtbi.2018.10.036","title":"Elementary functions modified for seasonal effects to describe growth in freshwater fish✰","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Salmo; Rainbow trout; Growth rate; Exponential growth; Growth function; Exponential function; Growth model; Growth curve (statistics); Cottus; Brown trout; Mathematics; Trout; Goodness of fit; Salmonidae; Fish <Actinopterygii>; Statistics; Biological system; Biology; Environmental science; Fishery; Mathematical analysis","score_opus":0.008144172297824307,"score_gpt":0.23978802280053488,"score_spread":0.23164385050271058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896638318","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029413808,0.00021210067,0.9644771,0.000069124355,0.00014063147,0.0000207946,0.00013541548,0.00036204862,0.0051688924],"genre_scores_gemma":[0.6764255,0.00087800395,0.28799677,0.00026238893,0.00022706873,0.00027541927,0.00060594,0.0013495688,0.031979274],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997259,0.00008640872,0.000026734953,0.000041656327,0.00006214581,0.000057225203],"domain_scores_gemma":[0.9986206,0.0006751184,0.000083505525,0.00023724597,0.00029894782,0.00008466102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017112886,0.0011661228,0.0007163945,0.00092072895,0.00031920878,0.00075021276,0.001643965,0.0007229022,0.0028982095],"category_scores_gemma":[0.00371579,0.0002843322,0.0013897152,0.00092429796,0.00063104107,0.0012314204,0.00074811565,0.0014406041,0.0011920626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014870647,0.00018085886,0.005793768,0.00030680688,0.00021432915,0.0007436225,0.0007558682,0.38987592,0.025353268,0.44447392,0.0070522833,0.12510066],"study_design_scores_gemma":[0.000008195286,0.000031238036,0.002343062,0.000018687913,0.000063517364,0.00021601928,0.00005975161,0.9288678,0.0026065512,0.061894912,0.0038589083,0.00003136996],"about_ca_topic_score_codex":0.0028403534,"about_ca_topic_score_gemma":0.0031913086,"teacher_disagreement_score":0.0028982095,"about_ca_system_score_codex":0.0005715597,"about_ca_system_score_gemma":0.0005438964,"threshold_uncertainty_score":0.00969547},"labels":[],"label_agreement":null},{"id":"W2896694218","doi":"10.1016/j.jtbi.2018.10.023","title":"Spatiotemporal model for depth perception in electric sensing","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Fields Institute for Research in Mathematical Sciences; University of Ontario Institute of Technology; York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electric fish; Electric field; Computer science; Voltage; Noise (video); Property (philosophy); Computer vision; Artificial intelligence; Acoustics; Remote sensing; Biological system; Image (mathematics); Electrical engineering; Fish <Actinopterygii>; Physics; Geology; Engineering; Biology","score_opus":0.020033952510578393,"score_gpt":0.2926359096769833,"score_spread":0.2726019571664049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896694218","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16649404,0.0014336391,0.79447645,0.0055926144,0.0002741956,0.00006760655,0.00080186676,0.00036702174,0.030492611],"genre_scores_gemma":[0.9687884,0.00062251376,0.014747637,0.00033907773,0.000101351674,0.00007429055,0.00018723027,0.000083554834,0.015055872],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997514,0.000057961563,0.000016311558,0.00006878631,0.00004478,0.00006068987],"domain_scores_gemma":[0.99907124,0.00048325513,0.000108564236,0.000060949045,0.00017470914,0.00010118219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008035141,0.00055442256,0.000869066,0.00075573823,0.00053134526,0.0016505828,0.0024812142,0.0025417407,0.0063687526],"category_scores_gemma":[0.0035085413,0.0005252941,0.0010168682,0.0007884169,0.000972265,0.0031842203,0.001312667,0.0014249743,0.0006017995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008497111,0.00006855833,0.0016109366,0.00009103298,0.00006487742,0.0003199112,0.00023753295,0.5396398,0.007300322,0.440363,0.0019007975,0.008318343],"study_design_scores_gemma":[0.000009099651,0.000008041266,0.00023918177,0.000004105737,0.0000078243065,0.000033145574,0.000019988947,0.97268033,0.00009884443,0.026698189,0.00019104691,0.000010267148],"about_ca_topic_score_codex":0.016764617,"about_ca_topic_score_gemma":0.005737113,"teacher_disagreement_score":0.016764617,"about_ca_system_score_codex":0.0013212747,"about_ca_system_score_gemma":0.00092555024,"threshold_uncertainty_score":0.033334076},"labels":[],"label_agreement":null},{"id":"W2899723240","doi":"10.1016/j.jtbi.2018.11.005","title":"The regulatory role of shikimate in plant phenylalanine metabolism","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Plant Gene Expression Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":80,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; University of Victoria","keywords":"Shikimate pathway; Monolignol; Phenylalanine; Biochemistry; Metabolic pathway; Biosynthesis; Phenylpropanoid; Aromatic amino acids; Shikimic acid; Biology; Metabolism; Chemistry; Amino acid; Enzyme","score_opus":0.003273696636701325,"score_gpt":0.23899778420366777,"score_spread":0.23572408756696644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899723240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9798589,0.0018911088,0.013505393,0.00049452076,0.000037162026,0.000015437885,0.00016845048,0.00009475223,0.003934383],"genre_scores_gemma":[0.9974827,0.00035261785,0.0010514416,0.000021869153,0.0000073209185,0.000004178652,0.0000508157,0.0000109066705,0.0010181107],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99991715,0.000018023386,0.0000029820048,0.00002482774,0.000017325368,0.000019729474],"domain_scores_gemma":[0.99987245,0.00006799938,0.000010622244,0.000009583777,0.000018331513,0.000021006064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024364877,0.00029112707,0.00022130726,0.00028997997,0.0003434324,0.00063426205,0.0002635216,0.00026639938,0.0010873874],"category_scores_gemma":[0.0002959241,0.00018143712,0.00018577477,0.00017484267,0.00043679215,0.00048191563,0.00018868461,0.00034776528,0.0002936636],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004021433,0.000026396705,0.0012317973,0.00003577767,0.000005303937,0.000089267814,0.000042092077,0.0008005045,0.9887959,0.00489777,0.000030483769,0.003642537],"study_design_scores_gemma":[0.000030239446,0.00017507566,0.013729356,0.0000059644567,0.000023856393,0.00019940228,0.00012656394,0.013118041,0.9643882,0.0065313745,0.0016518494,0.000020111602],"about_ca_topic_score_codex":0.001223651,"about_ca_topic_score_gemma":0.0013000991,"teacher_disagreement_score":0.001223651,"about_ca_system_score_codex":0.0006105042,"about_ca_system_score_gemma":0.0004264338,"threshold_uncertainty_score":0.004429519},"labels":[],"label_agreement":null},{"id":"W2901314256","doi":"10.1016/j.jtbi.2018.11.011","title":"Predicting protein–protein interactions by fusing various Chou's pseudo components and using wavelet denoising approach","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Institute of Food and Agriculture; Project of Shandong Province Higher Educational Science and Technology Program; Natural Science Foundation of Shandong Province; National Natural Science Foundation of China; Kansas NSF EPSCoR; South Dakota State University; National Science Foundation","keywords":"Support vector machine; Computer science; Pattern recognition (psychology); Pseudo amino acid composition; Artificial intelligence; Feature vector; Feature (linguistics); Classifier (UML); Data mining; Machine learning; Biology; Amino acid","score_opus":0.009586050802162849,"score_gpt":0.2744400496105388,"score_spread":0.26485399880837596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901314256","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38249543,0.0010128184,0.61386544,0.00016620202,0.00007901559,0.000059638696,0.00020715722,0.00062910747,0.0014852332],"genre_scores_gemma":[0.82576597,0.0009080341,0.170747,0.00007293692,0.000046974856,0.000082647086,0.00052873883,0.00009704174,0.0017506812],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998017,0.00003881825,0.000012483421,0.000037809325,0.00007672692,0.00003240585],"domain_scores_gemma":[0.99965703,0.00012272828,0.00004466259,0.000042435564,0.00010416121,0.000028952565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007196801,0.00060588744,0.000743743,0.0019014024,0.00032577605,0.00060566916,0.00044670247,0.00087588903,0.000601889],"category_scores_gemma":[0.0012047086,0.00027358966,0.00084129046,0.0017887427,0.0003292343,0.0007315243,0.00046721514,0.0006433152,0.00032901528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013413709,0.00044521102,0.01593018,0.00048504546,0.0006389029,0.0006560393,0.0002312872,0.16098867,0.42575195,0.014858834,0.0025347227,0.3761378],"study_design_scores_gemma":[0.000010576901,0.00005753384,0.005141968,0.00000584744,0.00006862816,0.00009311504,0.00004006165,0.9735174,0.017643897,0.0026972154,0.00069840084,0.000025317704],"about_ca_topic_score_codex":0.001973609,"about_ca_topic_score_gemma":0.0018115462,"teacher_disagreement_score":0.001973609,"about_ca_system_score_codex":0.00021739762,"about_ca_system_score_gemma":0.00037460364,"threshold_uncertainty_score":0.00392431},"labels":[],"label_agreement":null},{"id":"W2902344538","doi":"10.1016/j.jtbi.2018.11.024","title":"Origins of oscillation patterns in cyclical thrombocytopenia","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Erythrocyte Function and Pathophysiology","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; National Science Foundation","keywords":"Platelet; Oscillation (cell signaling); Haematopoiesis; Bistability; Biology; Cell type; Internal medicine; Stem cell; Cell; Immunology; Cell biology; Medicine; Physics; Genetics","score_opus":0.018600961318811265,"score_gpt":0.3217129930825963,"score_spread":0.30311203176378504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902344538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9600131,0.0004837237,0.03394164,0.0005760685,0.000044017488,0.0000204289,0.00008242738,0.00011802664,0.0047205477],"genre_scores_gemma":[0.9983962,0.000066697874,0.0012643122,0.000013454805,0.000014405098,0.0000067933147,0.000016021128,0.000009660092,0.0002125044],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9999168,0.000021593636,0.000006948936,0.000018985282,0.000016601809,0.000019084453],"domain_scores_gemma":[0.9994684,0.00022642396,0.00009041851,0.0000732126,0.000078528945,0.00006305166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002618216,0.00012250998,0.00020730255,0.00049539993,0.00019693474,0.0006100854,0.00037720936,0.00039278637,0.0016340486],"category_scores_gemma":[0.0022029444,0.00018553153,0.0001586884,0.0002800721,0.00052845775,0.00051563466,0.00038283516,0.00037600577,0.00017348194],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012380381,0.00020354347,0.12517045,0.0002262881,0.00012670657,0.0025731127,0.0019598773,0.0252744,0.44268808,0.2906687,0.0020324467,0.10783839],"study_design_scores_gemma":[0.00019506631,0.0004262414,0.26792756,0.00007087336,0.00010950189,0.005185607,0.0012204465,0.37792212,0.03828377,0.30201712,0.006506575,0.00013514524],"about_ca_topic_score_codex":0.0003510433,"about_ca_topic_score_gemma":0.00019499005,"teacher_disagreement_score":0.0016340486,"about_ca_system_score_codex":0.00026221081,"about_ca_system_score_gemma":0.00014230167,"threshold_uncertainty_score":0.005466461},"labels":[],"label_agreement":null},{"id":"W2903311640","doi":"10.1016/j.jtbi.2018.11.035","title":"The joint impacts of dispersal delay and dispersal patterns on the stability of predator-prey metacommunities","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Biological dispersal; Metacommunity; Predator; Metapopulation; Predation; Stability (learning theory); Ecology; Biology; Computer science; Population","score_opus":0.0376889602485675,"score_gpt":0.3086364965759807,"score_spread":0.2709475363274132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903311640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970431,0.00011048801,0.0021034414,0.00019961759,0.0000073360693,0.000002255998,0.000056917757,0.000009484774,0.00046729724],"genre_scores_gemma":[0.99967694,0.00003639741,0.000109259774,0.0000070983115,0.0000056044996,0.0000015227107,0.000020686353,0.0000032601777,0.0001392566],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942493,0.0001968642,0.000051453826,0.00013320778,0.00005074817,0.00014280983],"domain_scores_gemma":[0.96957046,0.021755414,0.0044125356,0.0013486343,0.0010473477,0.0018655292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021877831,0.0003147991,0.0005422346,0.00094587455,0.0004966517,0.00158725,0.000657774,0.001055087,0.002629661],"category_scores_gemma":[0.032934118,0.0003870429,0.00041489748,0.00055676507,0.0012517745,0.0019284025,0.001302599,0.0009156439,0.00024410617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002222834,0.00044756263,0.6493333,0.0002503658,0.0010607354,0.0023471157,0.00081372075,0.22658044,0.033538442,0.038940873,0.0015266797,0.04293802],"study_design_scores_gemma":[0.00015655042,0.00075478316,0.51091486,0.00003652663,0.00057483284,0.001335139,0.0012045676,0.4294735,0.0031472342,0.0517501,0.00051818136,0.00013377359],"about_ca_topic_score_codex":0.0016404571,"about_ca_topic_score_gemma":0.001943802,"teacher_disagreement_score":0.002629661,"about_ca_system_score_codex":0.0006210568,"about_ca_system_score_gemma":0.0003753978,"threshold_uncertainty_score":0.011570275},"labels":[],"label_agreement":null},{"id":"W2903480860","doi":"10.1016/j.jtbi.2018.12.006","title":"Tumor growth and calcification in evolving microenvironmental geometries","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Cancer Institute; Ryerson University; National Institutes of Health; National Science Foundation","keywords":"Basement membrane; Calcification; Membrane; Duct (anatomy); Microcalcification; Biophysics; Pathology; Biology; Medicine; Mammography; Cancer; Internal medicine; Breast cancer","score_opus":0.015583051675057337,"score_gpt":0.293899233623441,"score_spread":0.27831618194838365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903480860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8293039,0.0018348645,0.14964949,0.0038561276,0.00016698994,0.000050757793,0.00016896221,0.00016770315,0.014801255],"genre_scores_gemma":[0.98578864,0.00052691257,0.008097909,0.00012245472,0.00008355322,0.000019522531,0.000064698,0.00004395771,0.0052523767],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959403,0.00014723332,0.000019938067,0.00008518725,0.00009145012,0.000062311134],"domain_scores_gemma":[0.99661225,0.0018639738,0.00074166566,0.00013192656,0.00023828518,0.00041184298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007835721,0.00085285713,0.00053032377,0.0016036974,0.000686756,0.0022113065,0.0010909432,0.0021489023,0.0017836891],"category_scores_gemma":[0.008673722,0.0006101679,0.00060841447,0.00058225455,0.0024837034,0.0021069972,0.0021400698,0.0012780859,0.0001702913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024891866,0.000102838494,0.007585642,0.0001575631,0.00005830841,0.0014181924,0.0006699641,0.44691014,0.017386507,0.51390505,0.001246872,0.010310005],"study_design_scores_gemma":[0.00006533697,0.000074239484,0.0033107887,0.00001827345,0.00003650916,0.0008340965,0.00016353362,0.8329453,0.0023777508,0.15900142,0.0011239442,0.00004884645],"about_ca_topic_score_codex":0.0034728434,"about_ca_topic_score_gemma":0.0016772186,"teacher_disagreement_score":0.0034728434,"about_ca_system_score_codex":0.0013095695,"about_ca_system_score_gemma":0.00051614287,"threshold_uncertainty_score":0.009501696},"labels":[],"label_agreement":null},{"id":"W2904907983","doi":"10.1016/j.jtbi.2018.12.011","title":"Regulation of phosphate uptake kinetics in the bloom-forming dinoflagellates prorocentrum donghaiense with emphasis on two-stage dynamic process","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; National Science Foundation","keywords":"Algae; Eutrophication; Algal bloom; Bloom; Biology; Phosphate; Red tide; Phosphorus; Dinoflagellate; Kinetics; Botany; Phytoplankton; Environmental chemistry; Chemistry; Ecology; Biochemistry; Nutrient; Physics","score_opus":0.006607672421567834,"score_gpt":0.23776271291891204,"score_spread":0.2311550404973442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904907983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987571,0.00021427959,0.00059030013,0.000026917245,0.000003404468,0.0000026051882,0.00007881575,0.0000128019,0.00031374622],"genre_scores_gemma":[0.9991242,0.00013298746,0.00031705495,0.0000057388684,0.0000011459493,0.0000030720291,0.00007376366,0.0000025610034,0.00033942412],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999967,0.0000031861175,0.0000023559053,0.000014456479,0.0000050637564,0.000008018267],"domain_scores_gemma":[0.99994314,0.000018607805,0.0000121860385,0.0000039692245,0.000010873418,0.000011270727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000072812945,0.000168932,0.0001461392,0.00014550751,0.00015411909,0.0003075451,0.00020962369,0.00016687476,0.0003637012],"category_scores_gemma":[0.000105206615,0.00012595177,0.00014885978,0.00011187817,0.00013010525,0.00028259715,0.00022879141,0.00015111799,0.000053826185],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035504275,0.000019189903,0.009549123,0.000051492407,0.000010292757,0.000082246035,0.00013056492,0.0015418553,0.9832896,0.0007159715,0.00006342663,0.004191167],"study_design_scores_gemma":[0.00005054386,0.0005187704,0.31548283,0.000009991982,0.0000555515,0.00032820835,0.0004666995,0.09078208,0.5882458,0.001397198,0.0025907296,0.00007152326],"about_ca_topic_score_codex":0.0070683155,"about_ca_topic_score_gemma":0.0044000167,"teacher_disagreement_score":0.0070683155,"about_ca_system_score_codex":0.00047548683,"about_ca_system_score_gemma":0.00022950585,"threshold_uncertainty_score":0.014054298},"labels":[],"label_agreement":null},{"id":"W2906073339","doi":"10.1016/j.jtbi.2018.12.032","title":"An ancestral process with selection in an ecological community","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metacommunity; Coalescent theory; Trait; Ecology; Selection (genetic algorithm); Neutral theory of molecular evolution; Community structure; Abiotic component; Community; Biology; Population; Evolutionary biology; Computer science; Ecosystem; Biological dispersal; Phylogenetics","score_opus":0.009655224469325908,"score_gpt":0.32665169987678483,"score_spread":0.3169964754074589,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906073339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87477744,0.0001506177,0.10610263,0.0017655346,0.00006429837,0.0000631774,0.00006769115,0.0001281216,0.016880441],"genre_scores_gemma":[0.98027647,0.0000943964,0.015770733,0.00012666134,0.000054008317,0.000037215395,0.00003007679,0.000030801904,0.0035795465],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989705,0.00046032591,0.000037118563,0.00020548506,0.00016043687,0.00016611323],"domain_scores_gemma":[0.9959038,0.0016372585,0.0002611848,0.0008038271,0.0005720338,0.00082199514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028967021,0.0002562995,0.00073639204,0.0015547526,0.0022624398,0.0023737068,0.0020873523,0.0021916921,0.005969749],"category_scores_gemma":[0.011728926,0.0004546406,0.0008410152,0.0012173987,0.0042601437,0.0047979187,0.0027772842,0.0019401135,0.0004548797],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006683005,0.00005831951,0.0063629206,0.00006134524,0.00005122372,0.0007860478,0.0009841279,0.011239349,0.0037433177,0.9679003,0.0005502029,0.00819596],"study_design_scores_gemma":[0.0000951483,0.000086320535,0.00499185,0.000020858139,0.000056126635,0.0011020704,0.0004985852,0.11147821,0.00059609755,0.8794496,0.001576463,0.00004872662],"about_ca_topic_score_codex":0.0014420507,"about_ca_topic_score_gemma":0.001443457,"teacher_disagreement_score":0.005969749,"about_ca_system_score_codex":0.0013076775,"about_ca_system_score_gemma":0.0010160698,"threshold_uncertainty_score":0.019970834},"labels":[],"label_agreement":null},{"id":"W2907679687","doi":"10.1016/j.jtbi.2018.12.022","title":"Stochastic modeling reveals how motor protein and filament properties affect intermediate filament transport","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Microtubule and mitosis dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Engineering and Physical Sciences Research Council; Isaac Newton Institute for Mathematical Sciences; Agence Nationale de la Recherche","keywords":"Protein filament; Kinesin; Microtubule; Dynein; Molecular motor; Actin; Motor protein; Biophysics; Cytoskeleton; Elasticity (physics); Intermediate filament; Physics; Chemistry; Biology; Cell biology; Biochemistry; Cell","score_opus":0.010220731503812058,"score_gpt":0.23860594203457577,"score_spread":0.22838521053076372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907679687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.879938,0.00025965692,0.10771721,0.0023983065,0.00011881047,0.000030079034,0.0001693721,0.00022058014,0.009148074],"genre_scores_gemma":[0.99655616,0.000091797665,0.001850983,0.0000692202,0.000027526854,0.0000125499155,0.000039667862,0.000042567957,0.0013095035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997615,0.00009179016,0.000008594133,0.00003617178,0.000042178337,0.000059731166],"domain_scores_gemma":[0.99770975,0.0014965851,0.00028918678,0.000121730176,0.0001783168,0.00020451551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00099417,0.0005121058,0.0009082192,0.00061669707,0.0006728852,0.0011356263,0.0011238696,0.0016975591,0.0015776212],"category_scores_gemma":[0.004638439,0.0006185789,0.00081929046,0.0004204189,0.0010049102,0.0015737263,0.00062001916,0.000846331,0.00014993131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063524814,0.00006514137,0.0011602688,0.00002392015,0.000032184213,0.000102322,0.000033013115,0.93831694,0.0043445774,0.054456633,0.00040023643,0.0010010831],"study_design_scores_gemma":[0.0000059204044,0.0000039299744,0.00016759816,7.6393155e-7,0.0000047566705,0.0000049354544,0.000003238896,0.9954631,0.00014760288,0.0041601458,0.000033776345,0.00000427231],"about_ca_topic_score_codex":0.006517968,"about_ca_topic_score_gemma":0.0047303983,"teacher_disagreement_score":0.006517968,"about_ca_system_score_codex":0.0014585833,"about_ca_system_score_gemma":0.0009661921,"threshold_uncertainty_score":0.012960076},"labels":[],"label_agreement":null},{"id":"W29111421","doi":"10.1016/j.jtbi.2017.10.028","title":"Abstract 10606: Blood Pressure Reduction With Dapagliflozin in Patients With Type 2 Diabetes and Cardiovascular Disease","year":2013,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Michael's Hospital; University of Manitoba","funders":"","keywords":"Medicine; Dapagliflozin; Type 2 diabetes; Blood pressure; Diabetes mellitus; Disease; Internal medicine; Cardiology; Endocrinology","score_opus":0.0033900763632678387,"score_gpt":0.1935259400915767,"score_spread":0.19013586372830885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W29111421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945885,0.0020998386,0.0007044627,0.00051341107,0.00008124842,0.000022805976,0.00019112244,0.00006145149,0.0017371555],"genre_scores_gemma":[0.99764097,0.0004475053,0.0012428422,0.00017409636,0.00003231547,0.000013995902,0.00021694618,0.0000039603315,0.00022722952],"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9999331,0.000021402375,0.00000757146,0.000011143845,0.000017788634,0.000008949874],"domain_scores_gemma":[0.9999393,0.000021136424,0.000013004399,0.0000023427806,0.000004265497,0.000019912362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018952793,0.00018979829,0.00066776073,0.00016106102,0.0001405526,0.00023472031,0.00016468625,0.00030593784,0.0011168539],"category_scores_gemma":[0.000427672,0.00007523637,0.00041421407,0.00016249903,0.00006457096,0.0001238052,0.000099337645,0.000377418,0.00016464872],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.06851062,0.008310375,0.36510137,0.0009622094,0.0026109682,0.005686294,0.00021518582,0.031108221,0.048487756,0.0011647567,0.011591462,0.45625085],"study_design_scores_gemma":[0.019533431,0.04254974,0.7288716,0.000268711,0.0037819701,0.0071516624,0.0002533885,0.15868059,0.024074761,0.0025229033,0.012162963,0.0001482941],"about_ca_topic_score_codex":0.0009680475,"about_ca_topic_score_gemma":0.0014011232,"teacher_disagreement_score":0.0011168539,"about_ca_system_score_codex":0.0002085398,"about_ca_system_score_gemma":0.00021144297,"threshold_uncertainty_score":0.003736198},"labels":[],"label_agreement":null},{"id":"W2913537463","doi":"10.1016/j.jtbi.2019.01.023","title":"The impact of truncation selection and diffusion on cooperation in spatial games","year":2019,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Guelph","funders":"Defense Advanced Research Projects Agency","keywords":"Truncation (statistics); Stochastic game; Selection (genetic algorithm); CONTEST; Diffusion; Mathematics; Statistical physics; Applied mathematics; Computer science; Mathematical economics; Statistics; Physics; Artificial intelligence","score_opus":0.0054481527551799875,"score_gpt":0.30841851384746405,"score_spread":0.30297036109228404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913537463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8884467,0.0010101978,0.07198718,0.0048169214,0.00014900674,0.00006804573,0.00015312582,0.00013450986,0.03323442],"genre_scores_gemma":[0.9960991,0.00022958402,0.0013195841,0.000101714686,0.000046390807,0.000016341988,0.000017629403,0.000020113548,0.0021494604],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966857,0.0020089957,0.0001312527,0.00028768711,0.00033041826,0.0005558917],"domain_scores_gemma":[0.86883223,0.11280999,0.005846725,0.004709342,0.003208521,0.004593295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008495632,0.00052262243,0.0019491109,0.0012363549,0.0016778278,0.0034551832,0.0016811506,0.0028595333,0.00790424],"category_scores_gemma":[0.0805824,0.00060483586,0.00089420786,0.0008417299,0.0056623644,0.0055640223,0.0028956297,0.0031013552,0.00040728768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007907809,0.00028016666,0.009856234,0.00020929042,0.0001650637,0.0006415987,0.0011776394,0.14814828,0.0046448614,0.81237024,0.0030663293,0.018649558],"study_design_scores_gemma":[0.0002857333,0.0002892057,0.0065263384,0.000060007358,0.00014121721,0.00032565178,0.0007338294,0.35812134,0.0006856085,0.63165236,0.0010624606,0.00011625898],"about_ca_topic_score_codex":0.0039441795,"about_ca_topic_score_gemma":0.0037618736,"teacher_disagreement_score":0.008495632,"about_ca_system_score_codex":0.0024064723,"about_ca_system_score_gemma":0.0020006855,"threshold_uncertainty_score":0.044929743},"labels":[],"label_agreement":null},{"id":"W2913837904","doi":"10.1016/j.jtbi.2019.01.024","title":"On the interplay of harvesting and various diffusion strategies for spatially heterogeneous populations","year":2019,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Pacific Institute for the Mathematical Sciences","keywords":"Competition (biology); Diffusion; Extinction (optical mineralogy); Energy harvesting; Culling; Ecology; Biology; Mathematics; Statistics; Physics","score_opus":0.007720669221739005,"score_gpt":0.2791631642507272,"score_spread":0.27144249502898815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913837904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52188826,0.0053597097,0.3891062,0.01564758,0.0005695136,0.00014817188,0.0002009266,0.0002626001,0.06681695],"genre_scores_gemma":[0.98397726,0.0015619461,0.007157115,0.00047991765,0.00027441743,0.000055752447,0.000039264924,0.00006977475,0.006384651],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910635,0.00043157782,0.00003959457,0.0001349163,0.00011605496,0.00017154329],"domain_scores_gemma":[0.9894456,0.008821274,0.0004765399,0.00036987034,0.00032517474,0.00056154194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00371456,0.0008508652,0.0016318463,0.0013354453,0.0017543163,0.0037072368,0.0025638177,0.003454124,0.004828906],"category_scores_gemma":[0.013426259,0.00078588456,0.0016288528,0.0007875399,0.005272183,0.0057594823,0.0025952526,0.002009507,0.00034678762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008498248,0.00007563293,0.0010235703,0.00014529855,0.000076918994,0.00025518207,0.00023173868,0.1537191,0.0033988017,0.8339357,0.0014800502,0.0055730883],"study_design_scores_gemma":[0.000055501252,0.000044227643,0.00089439185,0.00002830712,0.000046731126,0.0001171426,0.00012333493,0.66714543,0.0003066221,0.33059117,0.00058045174,0.00006675526],"about_ca_topic_score_codex":0.0028571414,"about_ca_topic_score_gemma":0.0018541497,"teacher_disagreement_score":0.004828906,"about_ca_system_score_codex":0.0021801093,"about_ca_system_score_gemma":0.00084034266,"threshold_uncertainty_score":0.019644737},"labels":[],"label_agreement":null},{"id":"W2917148468","doi":"10.1016/j.jtbi.2019.02.011","title":"Cell pelotons: A model of early evolutionary cell sorting, with application to slime mold Dictyostelium discoideum","year":2019,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Slime Mold and Myxomycetes Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Dictyostelium discoideum; Slime mold; Sorting; Starvation; Cell sorting; Aggregate (composite); Slug; Biological system; Biology; Dictyostelium; Pattern formation; Cell; Ecology; Computer science; Cell biology; Nanotechnology; Materials science; Genetics","score_opus":0.0047887651976534764,"score_gpt":0.22530589441091836,"score_spread":0.22051712921326488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917148468","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2839951,0.0012698747,0.65873176,0.0020319575,0.000394863,0.00008517006,0.00031717904,0.00038635693,0.05278778],"genre_scores_gemma":[0.86016417,0.0012395052,0.09906,0.0003950066,0.00016068829,0.00015859964,0.00017759133,0.00015550059,0.038488936],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999434,0.000015412594,0.000002818099,0.000013955998,0.00001539548,0.000009043125],"domain_scores_gemma":[0.9998178,0.00006529973,0.000025591436,0.000022067572,0.000027178468,0.000042017826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002349917,0.00031080216,0.00040165175,0.0004904346,0.0007889279,0.0009302509,0.00093735126,0.0010697142,0.0033222083],"category_scores_gemma":[0.00064687064,0.00018650084,0.0005288654,0.0004003402,0.0009640942,0.0012793185,0.0009428118,0.00069560856,0.00042599195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005334346,0.000024389647,0.0006571058,0.000046731824,0.00001078909,0.00018209542,0.000089270216,0.11580835,0.009269462,0.86514354,0.0010546973,0.0076602767],"study_design_scores_gemma":[0.000028589893,0.000028743647,0.00028256932,0.000006091484,0.000009452759,0.00010414027,0.000035179957,0.7753211,0.0015965267,0.21907385,0.0034990627,0.000014638123],"about_ca_topic_score_codex":0.0022647693,"about_ca_topic_score_gemma":0.0019381468,"teacher_disagreement_score":0.0033222083,"about_ca_system_score_codex":0.0008560128,"about_ca_system_score_gemma":0.0005815718,"threshold_uncertainty_score":0.011113942},"labels":[],"label_agreement":null},{"id":"W2924953653","doi":"10.1016/j.jtbi.2019.03.012","title":"Influence of the components of propagule pressure, Allee effects, and stochasticity on the time to establish introduced populations","year":2019,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Agence Nationale de la Recherche","keywords":"Allee effect; Propagule; Propagule pressure; Population; Population size; Population model; Biology; Small population size; Ecology; Statistics; Biological dispersal; Demography; Mathematics; Habitat","score_opus":0.004121782793948904,"score_gpt":0.2309185076434056,"score_spread":0.2267967248494567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2924953653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992766,0.0001442954,0.0035175649,0.000246173,0.000015917021,0.000007529159,0.00013098624,0.000049160284,0.0031224303],"genre_scores_gemma":[0.99898416,0.000061300874,0.0003221707,0.000020455474,0.0000071055315,0.0000041081876,0.00004432119,0.000024805426,0.00053157465],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993111,0.00030943143,0.000040303523,0.00012359157,0.00006623245,0.0001494054],"domain_scores_gemma":[0.96850127,0.025404077,0.0016071197,0.00095244346,0.0008292617,0.0027057126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026585346,0.00070834503,0.00073943235,0.0011411215,0.00053746585,0.0018592816,0.0008354087,0.0010297279,0.0056263073],"category_scores_gemma":[0.020619001,0.00043426457,0.0005826731,0.00042245048,0.0015067712,0.0012313301,0.001000759,0.0012232664,0.00036735588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006585515,0.0012744574,0.14611277,0.0005450134,0.0014684646,0.0015534563,0.0007551493,0.3322352,0.37365875,0.071523175,0.0017270348,0.06256105],"study_design_scores_gemma":[0.0004643097,0.0019201599,0.340726,0.000058754194,0.0016652207,0.0011713011,0.00085373316,0.5770166,0.034222294,0.039379872,0.0020990933,0.00042269833],"about_ca_topic_score_codex":0.0024541426,"about_ca_topic_score_gemma":0.0032237282,"teacher_disagreement_score":0.0056263073,"about_ca_system_score_codex":0.0013501573,"about_ca_system_score_gemma":0.0011280844,"threshold_uncertainty_score":0.018821895},"labels":[],"label_agreement":null},{"id":"W2927244682","doi":"10.1016/j.jtbi.2019.04.002","title":"Testing the rogue taxa hypothesis for clustering instability","year":2019,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Cluster analysis; Taxon; Instability; Biology; Evolutionary biology; Ecology; Mathematics; Statistics; Physics; Mechanics","score_opus":0.022505760156935114,"score_gpt":0.25364841339939037,"score_spread":0.23114265324245525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2927244682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.969536,0.00013601262,0.022933276,0.0017468629,0.00006230277,0.000036383364,0.00019930954,0.000092334034,0.005257524],"genre_scores_gemma":[0.99730444,0.000017184697,0.0022135142,0.00011303676,0.00003707483,0.0000122480615,0.00009775455,0.000020107507,0.00018464951],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9890132,0.0055097835,0.0005181427,0.002578081,0.001578261,0.00080254313],"domain_scores_gemma":[0.7895061,0.16717917,0.015368487,0.016384823,0.005414618,0.0061468757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015303997,0.0006894068,0.0014249234,0.0027739597,0.0025618307,0.004177522,0.003427274,0.003258109,0.010950159],"category_scores_gemma":[0.14162275,0.000491806,0.0015780065,0.001780499,0.0050008204,0.0056628585,0.0040017795,0.002850476,0.0008099145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0070537594,0.0007900641,0.609564,0.00054966065,0.0034863288,0.0033309285,0.004515392,0.04200511,0.031289406,0.23416732,0.0038673552,0.059380636],"study_design_scores_gemma":[0.0012188222,0.0018994753,0.16076605,0.00011649204,0.001346405,0.004089571,0.009770563,0.4120055,0.012177363,0.3931578,0.0031576331,0.0002942912],"about_ca_topic_score_codex":0.0012328024,"about_ca_topic_score_gemma":0.00070591026,"teacher_disagreement_score":0.015303997,"about_ca_system_score_codex":0.0012720247,"about_ca_system_score_gemma":0.0011540629,"threshold_uncertainty_score":0.08093625},"labels":[],"label_agreement":null},{"id":"W2939726493","doi":"10.1016/j.jtbi.2019.04.014","title":"The left-hand side of the Fundamental Theorem of Natural Selection: A reply","year":2019,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Selection (genetic algorithm); Natural selection; Mathematics; Mathematical economics; Natural (archaeology); Fundamental theorem; Calculus (dental); Computer science; Pure mathematics; Biology; Artificial intelligence; Fixed-point theorem; Medicine; Paleontology","score_opus":0.005571747245546327,"score_gpt":0.2743074615162032,"score_spread":0.2687357142706569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2939726493","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006073421,0.0019499399,0.001594288,0.98604035,0.0048609385,0.0000033018678,0.000058518082,0.000011079629,0.004874254],"genre_scores_gemma":[0.07400219,0.0053837337,0.0022725814,0.8535761,0.053044945,0.0000753531,0.00012958208,0.000078902456,0.011436617],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968811,0.0012709746,0.00019827235,0.0007476586,0.000644846,0.00025721584],"domain_scores_gemma":[0.9616692,0.03210177,0.0010450467,0.0016184102,0.0028665087,0.0006990452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007411867,0.00077054097,0.0017038106,0.00087254995,0.0028431113,0.0042471774,0.0026924708,0.031580962,0.016042652],"category_scores_gemma":[0.04085257,0.0005313126,0.0011790607,0.001140758,0.009786597,0.011067207,0.0036636859,0.029184276,0.006433053],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011574489,0.00003868308,0.00058165204,0.00018761093,0.000058744994,0.0003630844,0.0006269995,0.00035135425,0.0003825827,0.530338,0.45230824,0.01464731],"study_design_scores_gemma":[0.0001348579,0.000019249319,0.00059409806,0.00015199152,0.000024765906,0.0003668075,0.00058929744,0.0007305361,0.00026327354,0.8396317,0.15744564,0.000047862755],"about_ca_topic_score_codex":0.0022049851,"about_ca_topic_score_gemma":0.0013644431,"teacher_disagreement_score":0.031580962,"about_ca_system_score_codex":0.0026737421,"about_ca_system_score_gemma":0.0022159005,"threshold_uncertainty_score":0.053668022},"labels":[],"label_agreement":null},{"id":"W2940284144","doi":"10.1016/j.jtbi.2019.04.020","title":"Computational model of the dual action of PTH — Application to a rat model of osteoporosis","year":2019,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Bone health and treatments","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Bern Center for Precision Medicine, University of Bern; University of Melbourne","keywords":"Anabolism; Osteoblast; Bone remodeling; Osteoporosis; Internal medicine; Endocrinology; Parathyroid hormone; Drug; Chemistry; Bone tissue; Bone resorption; Pharmacodynamics; Bone cell; Bone formation; Medicine; Pharmacology; Pharmacokinetics; Calcium; Biomedical engineering; In vitro; Biochemistry","score_opus":0.02229314846463382,"score_gpt":0.3260763016701687,"score_spread":0.3037831532055349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940284144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63094205,0.00097395026,0.3247242,0.0035620201,0.000268739,0.00012631221,0.0013897611,0.00051129604,0.037501596],"genre_scores_gemma":[0.97338164,0.00027489846,0.019580642,0.00016369055,0.000044711855,0.00015602223,0.00020238663,0.000051533953,0.0061445488],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999105,0.000033577773,0.0000045652682,0.000015591128,0.000018227249,0.000017537586],"domain_scores_gemma":[0.9992687,0.00052636006,0.00005553583,0.000023415185,0.000076650555,0.000049389837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031268943,0.00037565627,0.0009765383,0.0004059691,0.0004248862,0.00078197615,0.0015839247,0.0018660565,0.0040016975],"category_scores_gemma":[0.0013857386,0.00037304024,0.0007228977,0.0003995287,0.00061566225,0.00037450794,0.00051726185,0.00074588717,0.0001773928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004977804,0.00004569576,0.00040177788,0.000031295698,0.000021139289,0.00008517216,0.000014481331,0.98837274,0.00044718856,0.008936993,0.0003016202,0.0012921079],"study_design_scores_gemma":[0.000019609743,0.000012132615,0.00009720705,0.000001799576,0.000008309244,0.000011363869,0.000005167925,0.99823844,0.000057457324,0.001408779,0.00013674573,0.0000029819798],"about_ca_topic_score_codex":0.02630293,"about_ca_topic_score_gemma":0.014949325,"teacher_disagreement_score":0.02630293,"about_ca_system_score_codex":0.0006976098,"about_ca_system_score_gemma":0.0020333196,"threshold_uncertainty_score":0.05229968},"labels":[],"label_agreement":null},{"id":"W2950199848","doi":"10.1016/j.jtbi.2017.05.039","title":"Aggregation of biological particles under radial directional guidance","year":2017,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; MacEwan University","funders":"Natural Sciences and Engineering Research Council of Canada; Politecnico di Torino","keywords":"Isotropy; Anisotropy; Diffusion; Aggregate (composite); Chemotaxis; Adhesion; Tensor (intrinsic definition); Biological system; Geometry; Coupling (piping); Biophysics; Physics; Biology; Materials science; Mathematics; Nanotechnology; Optics","score_opus":0.06419990617547458,"score_gpt":0.35682415867604,"score_spread":0.29262425250056545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950199848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92294,0.00067655573,0.063501425,0.0013337408,0.00019585912,0.000037077727,0.00006237031,0.00016951276,0.011083451],"genre_scores_gemma":[0.99190664,0.00022188651,0.0032846897,0.000095041105,0.00006621146,0.000014150871,0.000046132685,0.000023628787,0.004341598],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996697,0.00007277655,0.00001267734,0.000052715266,0.00009922268,0.00009298441],"domain_scores_gemma":[0.99887484,0.00023417713,0.00031089387,0.00007078909,0.00020544854,0.00030389396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005131441,0.0005343146,0.00062623865,0.0009955917,0.0007943996,0.0015441292,0.0008015247,0.0014454707,0.0009057792],"category_scores_gemma":[0.0021351532,0.0003280162,0.00052529486,0.00030589057,0.0012316251,0.0009822367,0.0014003363,0.0006268104,0.0002925458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094564125,0.0003438774,0.008772421,0.00031449445,0.00018848885,0.0017459738,0.0007139879,0.35113737,0.22375241,0.38072732,0.006379908,0.024977984],"study_design_scores_gemma":[0.000080294594,0.00016113155,0.0030110893,0.000011191619,0.000037114514,0.00022794079,0.00014727564,0.9493917,0.007190039,0.03882596,0.0008608789,0.00005531671],"about_ca_topic_score_codex":0.0037217159,"about_ca_topic_score_gemma":0.00179664,"teacher_disagreement_score":0.0037217159,"about_ca_system_score_codex":0.0007989511,"about_ca_system_score_gemma":0.0005793748,"threshold_uncertainty_score":0.0074000955},"labels":[],"label_agreement":null},{"id":"W2951832004","doi":"10.1016/j.jtbi.2017.11.004","title":"Multi-step regulation of transcription kinetics explains the non-linear relation between RNA polymerase II density and mRNA expression in dosage compensation","year":2017,"lang":"en","type":"letter","venue":"Journal of Theoretical Biology","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Max-Planck-Gesellschaft","keywords":"Messenger RNA; Transcription (linguistics); Dosage compensation; Kinetics; Biology; Molecular biology; Compensation (psychology); Gene expression; Chemistry; Cell biology; Genetics; Gene; Physics","score_opus":0.02222167488181003,"score_gpt":0.29725992953613867,"score_spread":0.27503825465432863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951832004","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.108550444,0.0060013854,0.044027958,0.794147,0.03508924,0.000053100175,0.0004851239,0.00135278,0.010292969],"genre_scores_gemma":[0.79003835,0.005910652,0.014539915,0.12845206,0.037871245,0.00018081827,0.00025519362,0.0004476964,0.022304052],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99937505,0.00014362589,0.000071958246,0.00013595217,0.0001627004,0.00011067263],"domain_scores_gemma":[0.9942116,0.004639639,0.00027011734,0.00043112214,0.00027550457,0.00017191838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017470197,0.00055222434,0.0010123522,0.00027753835,0.0006317237,0.0011016027,0.0011995124,0.007264885,0.003300367],"category_scores_gemma":[0.007374798,0.00050938927,0.00078733684,0.00022211057,0.0019892212,0.001475709,0.00064629724,0.0073147584,0.0022612487],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0054201954,0.00047403979,0.01406397,0.0007769023,0.00021056182,0.027649181,0.00075049605,0.022839477,0.27208927,0.18721315,0.3072111,0.16130163],"study_design_scores_gemma":[0.00104597,0.00075237954,0.011699845,0.00012688307,0.00016815223,0.012998086,0.00031755498,0.20283788,0.24213086,0.2963527,0.23115247,0.00041718138],"about_ca_topic_score_codex":0.00038198647,"about_ca_topic_score_gemma":0.0005468493,"teacher_disagreement_score":0.007264885,"about_ca_system_score_codex":0.001420658,"about_ca_system_score_gemma":0.00032245432,"threshold_uncertainty_score":0.011040807},"labels":[],"label_agreement":null},{"id":"W2952226098","doi":"10.1016/j.jtbi.2017.11.005","title":"Evolutionary isolation and phylogenetic diversity loss under random extinction events","year":2017,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Phylogenetic tree; Extinction (optical mineralogy); Phylogenetic diversity; Biology; Tree (set theory); Evolutionary biology; Isolation (microbiology); Null model; Mathematics; Ecology; Combinatorics; Genetics; Paleontology; Gene","score_opus":0.007427481068255675,"score_gpt":0.2613986235785722,"score_spread":0.2539711425103165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952226098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99240375,0.00010833594,0.0053740875,0.0003513514,0.00001132029,0.0000070386677,0.00004428283,0.000032456894,0.001667306],"genre_scores_gemma":[0.9993674,0.000032735363,0.00021518442,0.000041860745,0.0000113951155,0.000004225145,0.000019141919,0.0000069535217,0.00030106152],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989219,0.00036124742,0.000048224603,0.00028697713,0.00010362426,0.00027811617],"domain_scores_gemma":[0.9845466,0.010057411,0.0024532485,0.0011871927,0.00049038394,0.0012652205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004650943,0.00037700628,0.0009612601,0.0014535624,0.00088526023,0.0018826956,0.0016401659,0.0018163145,0.003972857],"category_scores_gemma":[0.026091298,0.00047174396,0.0006920752,0.00083778065,0.0032062058,0.0030912785,0.0021883068,0.0016511745,0.0003161655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032438552,0.0006055764,0.29012215,0.0005206051,0.0013634334,0.0052318857,0.0027274091,0.36461392,0.029704202,0.24786207,0.0023262517,0.051678665],"study_design_scores_gemma":[0.000278085,0.00095129927,0.21519452,0.000055729695,0.00053126324,0.004057274,0.0024751066,0.4853568,0.003181375,0.28664172,0.0010692583,0.00020757034],"about_ca_topic_score_codex":0.0007853242,"about_ca_topic_score_gemma":0.0006347561,"teacher_disagreement_score":0.004650943,"about_ca_system_score_codex":0.0010737455,"about_ca_system_score_gemma":0.00029244402,"threshold_uncertainty_score":0.02459681},"labels":[],"label_agreement":null},{"id":"W2952344797","doi":"10.1016/j.jtbi.2017.10.003","title":"How ecosystems recover from pulse perturbations: A theory of short- to long-term responses","year":2017,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":95,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"European Research Council; Agence Nationale de la Recherche; European Commission","keywords":"Perturbation (astronomy); Ecosystem; Term (time); Regime shift; Psychological resilience; Resilience (materials science); Ecology; Statistical physics; Alternative stable state; Environmental science; Econometrics; Computer science; Mathematics; Physics; Biology; Psychology","score_opus":0.014259816328566094,"score_gpt":0.2703551871136163,"score_spread":0.2560953707850502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952344797","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31862968,0.0021196518,0.6200879,0.010799034,0.00064738543,0.00009725736,0.00051747315,0.0004923659,0.046609253],"genre_scores_gemma":[0.9856764,0.0008207986,0.006976076,0.0005298016,0.0001587905,0.000095851865,0.00006472143,0.00005390984,0.005623648],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99962735,0.00009968474,0.000015579713,0.00010674822,0.000054623768,0.00009602535],"domain_scores_gemma":[0.9978728,0.0010764505,0.00032984847,0.000290221,0.0002281817,0.00020252325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018391291,0.0006722247,0.0007076373,0.0008618499,0.00088003546,0.0022359756,0.0018530841,0.0025554893,0.0064446023],"category_scores_gemma":[0.006059747,0.00038177456,0.0011954295,0.00053381367,0.0029841566,0.0052796034,0.001731678,0.0016657051,0.00054759876],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012605677,0.00011586588,0.0053034597,0.00024621873,0.00020964399,0.000376954,0.0007202332,0.26103988,0.005019637,0.6908851,0.0038210845,0.03213582],"study_design_scores_gemma":[0.000018680888,0.00009887252,0.0030700034,0.00003770233,0.000054193584,0.00019664667,0.00036297712,0.3055809,0.0003472735,0.6888908,0.0012996795,0.000042198964],"about_ca_topic_score_codex":0.002006373,"about_ca_topic_score_gemma":0.0012232623,"teacher_disagreement_score":0.0064446023,"about_ca_system_score_codex":0.0011521555,"about_ca_system_score_gemma":0.0008483887,"threshold_uncertainty_score":0.021559358},"labels":[],"label_agreement":null},{"id":"W2952433147","doi":"10.1016/j.jtbi.2018.03.032","title":"Spatial correlation as an early warning signal of regime shifts in a multiplex disease-behaviour network","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Correlation; Warning system; Context (archaeology); Spatial correlation; Econometrics; Complex network; Tipping point (physics); Computer science; Statistical physics; Physics; Statistics; Mathematics; Biology; Telecommunications","score_opus":0.0049023151890789434,"score_gpt":0.24061952227379993,"score_spread":0.235717207084721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952433147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96766627,0.00009532827,0.030445836,0.00028696904,0.0000075420676,0.000017325008,0.000088833265,0.00006555053,0.0013263981],"genre_scores_gemma":[0.9982242,0.000026490641,0.001543807,0.000010449686,0.0000018920015,0.00000640779,0.0000166527,0.0000027746166,0.00016732178],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997267,0.00013350086,0.000011433432,0.00005681984,0.000030927462,0.00004053036],"domain_scores_gemma":[0.9959388,0.0022408767,0.0011313873,0.00021636856,0.00019202838,0.0002806492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010740116,0.00019103254,0.00032741102,0.00084100757,0.00041510703,0.0009507685,0.0004306357,0.0005564486,0.0014117681],"category_scores_gemma":[0.007948816,0.00023770826,0.00031429323,0.00040472913,0.0009480823,0.001458916,0.0007571746,0.0005492959,0.00007763932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047735902,0.00013409402,0.1009533,0.00015259029,0.00019623442,0.0009805164,0.0015787907,0.7512861,0.023704795,0.09972457,0.0012037656,0.019607907],"study_design_scores_gemma":[0.000015921783,0.00007680333,0.021382073,0.000018496456,0.000030510162,0.00014947812,0.00019119454,0.95437294,0.0010968021,0.022152951,0.00048531522,0.000027471233],"about_ca_topic_score_codex":0.003340563,"about_ca_topic_score_gemma":0.0022127556,"teacher_disagreement_score":0.003340563,"about_ca_system_score_codex":0.0009944466,"about_ca_system_score_gemma":0.00027227294,"threshold_uncertainty_score":0.007215202},"labels":[],"label_agreement":null},{"id":"W2953323735","doi":"10.1016/j.jtbi.2018.06.028","title":"The influence of social behaviour on competition between virulent pathogen strains","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Virulence; Pathogen; Biology; Population; Strain (injury); Microbiology; Competition (biology); Disease; Virology; Genetics; Ecology; Environmental health; Medicine; Gene; Pathology","score_opus":0.006344928322257971,"score_gpt":0.2844178066197303,"score_spread":0.27807287829747235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953323735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962399,0.000034647175,0.00046526326,0.00017452781,0.0000049121395,0.0000017972067,0.000013788319,0.0000059148397,0.00305929],"genre_scores_gemma":[0.99971634,0.000015426755,0.0000630981,0.000018812756,0.0000045805555,0.0000010081095,0.0000064406786,0.0000036646888,0.00017066117],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942917,0.00032336105,0.0000114642635,0.00004800643,0.00007090041,0.00011705934],"domain_scores_gemma":[0.99217427,0.0055630454,0.00065147685,0.000278355,0.00025843226,0.0010744757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086942007,0.00026190426,0.00033387917,0.0004753037,0.0004886765,0.0012940236,0.0004074746,0.00082939473,0.004929478],"category_scores_gemma":[0.006736408,0.00019834188,0.00027010165,0.0002002667,0.0011689696,0.0005077767,0.00078628113,0.0006854711,0.0002838885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035297312,0.0016410117,0.30031016,0.0003989876,0.0008500087,0.0033432767,0.00309166,0.041383293,0.5037128,0.066108085,0.0025382952,0.07309264],"study_design_scores_gemma":[0.00021323646,0.001298035,0.81673527,0.00002900985,0.0003144253,0.0010550611,0.0023574948,0.1311167,0.0075057917,0.03792353,0.0012945075,0.00015685403],"about_ca_topic_score_codex":0.0013458001,"about_ca_topic_score_gemma":0.0020013438,"teacher_disagreement_score":0.004929478,"about_ca_system_score_codex":0.0005336954,"about_ca_system_score_gemma":0.00035183484,"threshold_uncertainty_score":0.016490757},"labels":[],"label_agreement":null},{"id":"W2953873015","doi":"10.1016/j.jtbi.2019.06.022","title":"Predicting essential proteins from protein-protein interactions using order statistics","year":2019,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Science Foundation of Tianjin City; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Statistics; Computer science; Computational biology; Biology; Mathematics","score_opus":0.014337653416342468,"score_gpt":0.3241848465935959,"score_spread":0.30984719317725345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953873015","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6642603,0.0010868318,0.32978174,0.00026401173,0.000060070797,0.0000884601,0.0012500734,0.0013237172,0.001884744],"genre_scores_gemma":[0.97030073,0.0004101079,0.027267305,0.000048913655,0.000050777242,0.000037926267,0.0011974467,0.000087647895,0.00059919263],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996296,0.000097428805,0.000032604632,0.000050018356,0.00012584835,0.000064427215],"domain_scores_gemma":[0.9965029,0.0023923067,0.0004167475,0.0002177384,0.00024697196,0.00022338371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089378835,0.00060048176,0.0010328557,0.0029773246,0.00050954055,0.00087047776,0.0005461583,0.00056379277,0.00093527],"category_scores_gemma":[0.0034894398,0.00041363103,0.0010990372,0.0011097293,0.00052085053,0.0011332872,0.0006081382,0.0009513996,0.00034546177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022276593,0.00088618277,0.13075708,0.00061113236,0.0007192673,0.0013278786,0.00016928343,0.61756575,0.05585744,0.04944968,0.0060358606,0.1343928],"study_design_scores_gemma":[0.000036708338,0.00010635584,0.0069013988,0.000008824936,0.00006882623,0.00014591859,0.000022561218,0.9549666,0.004218813,0.033085022,0.00042212114,0.00001694781],"about_ca_topic_score_codex":0.0022166355,"about_ca_topic_score_gemma":0.004425806,"teacher_disagreement_score":0.0029773246,"about_ca_system_score_codex":0.0007273479,"about_ca_system_score_gemma":0.0014141802,"threshold_uncertainty_score":0.005277276},"labels":[],"label_agreement":null},{"id":"W2959624346","doi":"10.1016/j.jtbi.2019.07.010","title":"The joint evolution of cooperation and competition","year":2019,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada","keywords":"Coevolution; Competition (biology); Microeconomics; Population; Evolutionary dynamics; Economics; Biology; Evolutionary biology; Ecology; Demography","score_opus":0.006982326118884192,"score_gpt":0.26617227313695846,"score_spread":0.25918994701807424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2959624346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64278835,0.004988859,0.23056303,0.01620361,0.0003612408,0.00009042956,0.00025114496,0.00008409323,0.10466922],"genre_scores_gemma":[0.98978126,0.0006395177,0.006449184,0.00018583455,0.00006218501,0.000045047727,0.000033079737,0.000011161733,0.0027927896],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99644715,0.0025424412,0.000085894346,0.00030557002,0.00035815328,0.00026083455],"domain_scores_gemma":[0.9798293,0.01679247,0.0010539893,0.00087614177,0.0008709268,0.0005771033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050746533,0.0002991274,0.0007694323,0.00080154225,0.00078746147,0.0037529794,0.0010719146,0.0024305903,0.004313764],"category_scores_gemma":[0.025313526,0.0004712451,0.00059463375,0.0007962366,0.005674577,0.005912086,0.0017584531,0.0018683884,0.0003242024],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005163869,0.000039946197,0.002689355,0.000065028136,0.00008440391,0.00012466907,0.00056081475,0.013023141,0.0004784836,0.97054243,0.0010368343,0.011303188],"study_design_scores_gemma":[0.00003159175,0.000032530854,0.002459976,0.000016725178,0.000025959935,0.00013904147,0.00029635176,0.03145294,0.00008350405,0.9637831,0.0016584779,0.00001990049],"about_ca_topic_score_codex":0.0021646917,"about_ca_topic_score_gemma":0.0014622019,"teacher_disagreement_score":0.0050746533,"about_ca_system_score_codex":0.0012486706,"about_ca_system_score_gemma":0.0012178412,"threshold_uncertainty_score":0.026837647},"labels":[],"label_agreement":null},{"id":"W2970241861","doi":"10.1016/j.jtbi.2019.109995","title":"Cooperation in a generalized age-structured spatial game","year":2019,"lang":"en","type":"preprint","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Stochastic game; Outcome (game theory); Mathematical economics; Population; Evolutionary game theory; Selection (genetic algorithm); Symmetric game; Coordination game; Natural selection; Repeated game; Psychology; Game theory; Computer science; Microeconomics; Normal-form game; Economics; Demography; Sociology; Artificial intelligence","score_opus":0.01658348816229034,"score_gpt":0.3223666902594407,"score_spread":0.3057832020971504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970241861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6946441,0.00026092358,0.2870045,0.001558382,0.00006651585,0.00012140215,0.00025170398,0.00007554346,0.016016971],"genre_scores_gemma":[0.98389554,0.00017350966,0.00950702,0.00010091343,0.000032201868,0.00006840274,0.00007472984,0.0000110591045,0.0061365697],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99852425,0.00081150985,0.000057444457,0.00021694307,0.00017662662,0.00021316843],"domain_scores_gemma":[0.99521154,0.0031495222,0.00053103786,0.0002344657,0.0002886795,0.00058486074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022070203,0.000790616,0.0015088668,0.00068796484,0.0006706553,0.0019289083,0.0017896054,0.00244765,0.0028054563],"category_scores_gemma":[0.007014648,0.00044976623,0.0007411675,0.00069334405,0.0022805138,0.002780732,0.001970252,0.0011105563,0.00026598113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017416611,0.00012155577,0.003234217,0.00013340006,0.00011807245,0.0008331273,0.0008353653,0.28450578,0.0027215232,0.69993067,0.001742559,0.0056495485],"study_design_scores_gemma":[0.00008843047,0.00007408059,0.00084781967,0.000013253095,0.000032677333,0.000240238,0.00023191917,0.672137,0.00013227382,0.32556197,0.0006132659,0.000027032522],"about_ca_topic_score_codex":0.004143142,"about_ca_topic_score_gemma":0.0025368228,"teacher_disagreement_score":0.004143142,"about_ca_system_score_codex":0.0011057315,"about_ca_system_score_gemma":0.00094873563,"threshold_uncertainty_score":0.01167202},"labels":[],"label_agreement":null},{"id":"W2971632735","doi":"10.1016/j.jtbi.2019.109993","title":"Revisiting the “fallacy of averages” in ecology: Expected gain per unit time equals expected gain divided by expected time","year":2019,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Mathematics; Stochastic game; Outcome (game theory); Statistics; Mathematical economics","score_opus":0.00949378599943975,"score_gpt":0.28838038607161554,"score_spread":0.2788866000721758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971632735","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08369292,0.0069044847,0.79509187,0.043680042,0.0041553904,0.000065195585,0.00070806575,0.000538308,0.06516373],"genre_scores_gemma":[0.8580409,0.0020402754,0.121380694,0.008043407,0.0029825505,0.00018741368,0.00019360677,0.00051979144,0.006611319],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98586893,0.0046935463,0.000896226,0.004976752,0.0030110052,0.0005534847],"domain_scores_gemma":[0.91565484,0.066581815,0.003674484,0.008109509,0.004784989,0.0011943544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01865236,0.001076375,0.002562161,0.0018680345,0.0019017535,0.0050231065,0.005608084,0.0049334513,0.008497962],"category_scores_gemma":[0.122613706,0.0011505263,0.0013820331,0.002771171,0.013494143,0.030094733,0.0051261215,0.009498468,0.0016227553],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042300504,0.000021869291,0.001226521,0.000083731844,0.00004319516,0.00004446312,0.00025492665,0.0031261046,0.00028605788,0.9720507,0.003015849,0.019804278],"study_design_scores_gemma":[0.000008760875,0.000016589045,0.00058318675,0.000029882189,0.0000121267385,0.0000888513,0.000039186158,0.008607397,0.00017384649,0.9884753,0.0019440689,0.00002084031],"about_ca_topic_score_codex":0.002791909,"about_ca_topic_score_gemma":0.0016617989,"teacher_disagreement_score":0.01865236,"about_ca_system_score_codex":0.0028923934,"about_ca_system_score_gemma":0.00236968,"threshold_uncertainty_score":0.098644316},"labels":[],"label_agreement":null},{"id":"W2971896503","doi":"10.1016/j.jtbi.2019.109999","title":"A mathematical model for the immune-mediated theory of metastasis","year":2019,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Pacific Institute for the Mathematical Sciences","keywords":"Immune system; Metastasis; Biology; Immunology; Immunotherapy; Cancer; Cytotoxic T cell; Mechanism (biology); Cancer research; In vitro","score_opus":0.036103119654297154,"score_gpt":0.31806385487342514,"score_spread":0.281960735219128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971896503","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0924027,0.0039615086,0.766961,0.023924697,0.00075330364,0.0001108615,0.00043378872,0.0001884279,0.11126371],"genre_scores_gemma":[0.9255338,0.0022198872,0.03068066,0.0012987803,0.0006782261,0.00022446252,0.00015657058,0.000049548795,0.03915816],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966466,0.00013578552,0.000014093838,0.000039103095,0.000097908465,0.000048445192],"domain_scores_gemma":[0.9992279,0.00042064564,0.00010287486,0.00004983264,0.00011171763,0.00008700554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090552977,0.00048209526,0.00062781904,0.00082038494,0.0007017319,0.001684188,0.0017730278,0.0018838303,0.0050715413],"category_scores_gemma":[0.0027236936,0.00023293123,0.00079561694,0.00053378317,0.001535293,0.0021424375,0.0010834866,0.0014994808,0.0006030204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005594681,0.000011884333,0.00010135177,0.000023435105,0.000007708204,0.0000615488,0.00004410204,0.019899154,0.0003978349,0.9769604,0.0013417623,0.0011453144],"study_design_scores_gemma":[0.000023505116,0.00002224535,0.00010775501,0.000014119804,0.000010799301,0.00011012997,0.000032243526,0.20659389,0.00011740684,0.7898668,0.0030900284,0.000011098161],"about_ca_topic_score_codex":0.0019377255,"about_ca_topic_score_gemma":0.0011739429,"teacher_disagreement_score":0.0050715413,"about_ca_system_score_codex":0.0016104017,"about_ca_system_score_gemma":0.0011726617,"threshold_uncertainty_score":0.016966045},"labels":[],"label_agreement":null},{"id":"W2972514137","doi":"10.1016/j.jtbi.2020.110530","title":"Quasi-steady uptake and bacterial community assembly in a mathematical model of soil-phosphorus mobility","year":2020,"lang":"en","type":"preprint","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Science Foundation Ireland","keywords":"Phosphorus; Nutrient; Steady state (chemistry); Environmental science; Human fertilization; Adsorption; Soil nutrients; Ecology; Environmental chemistry; Soil science; Chemistry; Agronomy; Biology","score_opus":0.023127983701401206,"score_gpt":0.2953110402171524,"score_spread":0.27218305651575114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972514137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64258116,0.0018931562,0.33226484,0.005796025,0.00023900422,0.000066499495,0.0005642646,0.0002972625,0.01629766],"genre_scores_gemma":[0.9726581,0.00073631835,0.01395626,0.00030805354,0.00014719745,0.000115744384,0.0001329798,0.0001036444,0.011841892],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994531,0.0002208075,0.000026694493,0.00010086645,0.00007686984,0.00012162198],"domain_scores_gemma":[0.9966223,0.002229176,0.00048130433,0.0001300562,0.0002679525,0.00026923482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016179627,0.00079332455,0.0015267645,0.0011691515,0.0010873139,0.0025585615,0.0024981296,0.0037546537,0.0029515952],"category_scores_gemma":[0.006391975,0.00091653113,0.0014391937,0.0009650214,0.0021754142,0.0036976528,0.0018094426,0.0011617452,0.00052419875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012090251,0.00011586059,0.0023902848,0.0001975846,0.000095450036,0.0003848578,0.00021923537,0.6289568,0.0058287405,0.35792646,0.0013893822,0.0023744546],"study_design_scores_gemma":[0.00002414555,0.000022637372,0.00031936736,0.000006960706,0.000014653539,0.00004891454,0.00002640136,0.96167064,0.00013582759,0.037517756,0.0001965405,0.000016125165],"about_ca_topic_score_codex":0.0074478053,"about_ca_topic_score_gemma":0.0042542415,"teacher_disagreement_score":0.0074478053,"about_ca_system_score_codex":0.0023592375,"about_ca_system_score_gemma":0.0014075307,"threshold_uncertainty_score":0.01711756},"labels":[],"label_agreement":null},{"id":"W2980932565","doi":"10.1016/j.jtbi.2019.110053","title":"A study of nitric oxide dynamics in a growing biofilm using a density dependent reaction-diffusion model","year":2019,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Hemoglobin structure and function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biofilm; Diffusion; Biological system; Reaction–diffusion system; Chemical physics; Nitric oxide; Virulence; Dynamics (music); Chemistry; Microbiology; Bacteria; Biology; Biophysics; Physics; Biochemistry; Thermodynamics","score_opus":0.008510996183854123,"score_gpt":0.2596641025313157,"score_spread":0.2511531063474616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980932565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84652406,0.002221452,0.13242498,0.0029645008,0.00026087754,0.00012041757,0.0002354204,0.00016304916,0.01508528],"genre_scores_gemma":[0.98242724,0.00081507023,0.00957552,0.0001835685,0.00009881315,0.0000754032,0.00008653714,0.000054422984,0.0066833966],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973816,0.00009667778,0.0000100912475,0.000058013997,0.00004242068,0.000054605654],"domain_scores_gemma":[0.9978523,0.0015356812,0.00018254457,0.000055930457,0.00016956369,0.00020394228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085886416,0.0010567841,0.0018040928,0.00075551716,0.001179233,0.0015287902,0.0024541891,0.0032056556,0.0015619404],"category_scores_gemma":[0.0029918943,0.0008210682,0.0014640675,0.00047590648,0.0017200272,0.0017470322,0.0011886338,0.0015915987,0.00017290098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015892339,0.00021252898,0.0013002018,0.00014238874,0.00009525347,0.0004975679,0.00012845521,0.93036294,0.01571444,0.049526412,0.00036972985,0.0014911983],"study_design_scores_gemma":[0.000016346496,0.000017360477,0.000118344986,0.000002479424,0.000008268752,0.000010572053,0.00000828107,0.99855894,0.00021673575,0.0009817528,0.00005196556,0.000008978444],"about_ca_topic_score_codex":0.018788382,"about_ca_topic_score_gemma":0.00561615,"teacher_disagreement_score":0.018788382,"about_ca_system_score_codex":0.0015261343,"about_ca_system_score_gemma":0.0013860355,"threshold_uncertainty_score":0.037358046},"labels":[],"label_agreement":null},{"id":"W2981453558","doi":"10.1016/j.jtbi.2020.110242","title":"Pattern formation in a coupled membrane-bulk reaction-diffusion model for intracellular polarization and oscillations","year":2020,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Nonlinear Dynamics and Pattern Formation","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Reaction–diffusion system; Intracellular; Polarization (electrochemistry); Membrane; Diffusion; Biophysics; Chemical physics; Biological system; Chemistry; Materials science; Statistical physics; Physics; Mechanics; Thermodynamics; Biology; Physical chemistry; Biochemistry","score_opus":0.014654044234945006,"score_gpt":0.24568947884039888,"score_spread":0.23103543460545387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981453558","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3855716,0.0013655754,0.5843453,0.0034020075,0.00034506083,0.00013818496,0.00047653902,0.00057428674,0.023781458],"genre_scores_gemma":[0.97465783,0.00041080566,0.0123605,0.00019396677,0.000057206424,0.00013557718,0.000104829895,0.00008447243,0.011994847],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968743,0.00009036582,0.000015269285,0.00009022554,0.000062594874,0.00005416969],"domain_scores_gemma":[0.9989446,0.0005886933,0.0001450845,0.000055154323,0.0001527399,0.00011377706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006232787,0.00087469857,0.0017950935,0.0005659652,0.00071683736,0.00169353,0.002093648,0.0034578948,0.0023130896],"category_scores_gemma":[0.0023064679,0.0007681813,0.0012013282,0.00055806036,0.0016790527,0.0020717366,0.001410149,0.0012400623,0.0003958587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025764838,0.00011511962,0.00081079034,0.00020090281,0.00008224256,0.0005220292,0.00022280432,0.80507845,0.030101173,0.156345,0.0013761909,0.004887685],"study_design_scores_gemma":[0.000024614903,0.000013918274,0.00007567953,0.000002823282,0.0000080237205,0.000020382568,0.00000819991,0.991437,0.00035260266,0.007952672,0.00009411528,0.000009989492],"about_ca_topic_score_codex":0.0051057567,"about_ca_topic_score_gemma":0.0020311938,"teacher_disagreement_score":0.0051057567,"about_ca_system_score_codex":0.0012279314,"about_ca_system_score_gemma":0.00096831954,"threshold_uncertainty_score":0.0101521015},"labels":[],"label_agreement":null},{"id":"W2983323546","doi":"10.1016/j.jtbi.2019.110081","title":"Nonlinear adaptive control of tuberculosis with consideration of the risk of endogenous reactivation and exogenous reinfection","year":2019,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Tuberculosis; Outbreak; Control theory (sociology); Infectious disease (medical specialty); Nonlinear system; Lyapunov stability; Lyapunov function; Disease; Adaptive control; Control (management); Computer science; Medicine; Virology; Artificial intelligence; Internal medicine; Pathology","score_opus":0.013155260373157611,"score_gpt":0.2396775132286915,"score_spread":0.22652225285553387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2983323546","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3712383,0.0013908783,0.6099918,0.0034276317,0.00035761218,0.000051489405,0.00013829437,0.00014832208,0.013255692],"genre_scores_gemma":[0.9921789,0.00019781438,0.0027794924,0.00006293748,0.000072130795,0.000024621884,0.000017544722,0.000013664052,0.004652907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993967,0.00023401363,0.000021425356,0.00013236266,0.00008118235,0.00013434172],"domain_scores_gemma":[0.9969277,0.001965665,0.0005143833,0.00008946309,0.0003604245,0.00014243672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017189903,0.0008747806,0.001197563,0.000595006,0.000503847,0.0013332665,0.0016082322,0.0019149574,0.0017710152],"category_scores_gemma":[0.007560578,0.00056944985,0.00080211804,0.00035306546,0.0015534097,0.0011747859,0.0016966518,0.0013243145,0.00012424526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009780651,0.000043512697,0.0014779876,0.00007554003,0.00009091408,0.00022394795,0.00010420658,0.9481687,0.0023324466,0.04161997,0.00032736015,0.005437627],"study_design_scores_gemma":[0.0000084237645,0.000022552624,0.00036169213,0.0000035498517,0.000014411054,0.000016277389,0.000012306353,0.99418086,0.00007771131,0.0052312654,0.000063300125,0.0000075987273],"about_ca_topic_score_codex":0.012400884,"about_ca_topic_score_gemma":0.0062736617,"teacher_disagreement_score":0.012400884,"about_ca_system_score_codex":0.0014395987,"about_ca_system_score_gemma":0.0012888795,"threshold_uncertainty_score":0.024657428},"labels":[],"label_agreement":null},{"id":"W2991464965","doi":"10.1016/j.jtbi.2019.110090","title":"The influence of awareness on epidemic spreading on random networks","year":2019,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Basic reproduction number; Epidemic model; Outbreak; Demography; Population; Infection rate; Infectious disease (medical specialty); Disease; Biology; Environmental health; Medicine; Virology","score_opus":0.0061049755344824074,"score_gpt":0.2856314285467489,"score_spread":0.2795264530122665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991464965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89061457,0.0013148696,0.082357295,0.0032806552,0.0001299425,0.000028267048,0.00018243208,0.00021237115,0.02187959],"genre_scores_gemma":[0.9980702,0.00031240698,0.00080785784,0.00004720352,0.00007787156,0.0000055183746,0.000014866086,0.000017351696,0.0006467855],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918383,0.00044197982,0.000022361428,0.00011857658,0.000108911234,0.00012428898],"domain_scores_gemma":[0.94738275,0.045949988,0.00275488,0.0014915675,0.00120643,0.001214403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022021858,0.0004243303,0.00085764326,0.0015748349,0.00067015406,0.0022898582,0.00073705864,0.0011976087,0.0025057362],"category_scores_gemma":[0.03904817,0.00049683044,0.00048800945,0.0007140525,0.0019465894,0.0036798706,0.0013367662,0.0014540934,0.0002304329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000791453,0.00035916237,0.020804316,0.00044820565,0.00027614963,0.0011665206,0.0014289381,0.28190202,0.018439159,0.62625813,0.0043440606,0.043782018],"study_design_scores_gemma":[0.00007352214,0.00015246656,0.009813228,0.00005038854,0.00017394435,0.000364989,0.0002793439,0.71911955,0.0019265154,0.26674217,0.001235319,0.000068479996],"about_ca_topic_score_codex":0.0016714511,"about_ca_topic_score_gemma":0.001271815,"teacher_disagreement_score":0.0025057362,"about_ca_system_score_codex":0.00063100405,"about_ca_system_score_gemma":0.00039435094,"threshold_uncertainty_score":0.01164639},"labels":[],"label_agreement":null},{"id":"W2994968401","doi":"10.1016/j.jtbi.2019.110121","title":"Estimation of drug and tumor properties using novel hybrid meta-heuristic methods","year":2019,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Particle swarm optimization; Computer science; Meta heuristic; Heuristic; Mathematical optimization; Property (philosophy); Drug; Sensitivity (control systems); Process (computing); Biological system; Biochemical engineering; Artificial intelligence; Algorithm; Mathematics; Biology; Pharmacology","score_opus":0.07492384058157826,"score_gpt":0.370746615323548,"score_spread":0.2958227747419698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994968401","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10068799,0.0015610736,0.8907324,0.0005566317,0.00017032678,0.000266616,0.00031947697,0.00072624884,0.004979186],"genre_scores_gemma":[0.72081923,0.00043432417,0.27473298,0.00034822794,0.00015389253,0.0006785474,0.00042521514,0.00013775671,0.0022698035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992968,0.00031906998,0.000047318634,0.00011314662,0.00012817427,0.000095470554],"domain_scores_gemma":[0.99438643,0.0045034494,0.00033448415,0.00016668423,0.00043936516,0.00016957494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025299005,0.0019336087,0.0025978338,0.0033324207,0.0006956109,0.0019971621,0.002719798,0.0036058775,0.002125218],"category_scores_gemma":[0.0055132466,0.0014838136,0.0026663013,0.0015440396,0.00084034103,0.0013606068,0.0011900794,0.0014217936,0.00033291613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006495711,0.00007400464,0.00048356983,0.000046857756,0.00012352805,0.0000315661,0.000013225095,0.98805594,0.0003371775,0.00085454073,0.0001709074,0.009743719],"study_design_scores_gemma":[0.000014174958,0.000018783621,0.000048022644,0.000004625532,0.000018276303,0.000004751386,0.000003558359,0.9992957,0.000086049826,0.0004566889,0.000045719113,0.0000035395174],"about_ca_topic_score_codex":0.007127682,"about_ca_topic_score_gemma":0.0054285936,"teacher_disagreement_score":0.007127682,"about_ca_system_score_codex":0.0014031496,"about_ca_system_score_gemma":0.0020391683,"threshold_uncertainty_score":0.014172375},"labels":[],"label_agreement":null},{"id":"W2995589820","doi":"10.1016/j.jtbi.2019.110107","title":"Electric potential generation of electrocytes: Modelling, analysis, and computation","year":2019,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; York University","funders":"Fields Institute for Research in Mathematical Sciences","keywords":"Superposition principle; Nernst equation; Electric potential; Membrane potential; Physics; Computation; Linearization; Constant (computer programming); Statistical physics; Mathematics; Computer science; Nonlinear system; Quantum mechanics; Algorithm; Biology; Biophysics; Electrode","score_opus":0.028905900666862,"score_gpt":0.3212750284904304,"score_spread":0.2923691278235684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995589820","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21664633,0.0023629393,0.7589032,0.0018662321,0.00013854401,0.000059949096,0.00018745291,0.00034229364,0.019493004],"genre_scores_gemma":[0.97758526,0.00093006896,0.01820404,0.00008967745,0.000042688065,0.000057080462,0.00005555883,0.000056657922,0.0029790758],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989927,0.000034239427,0.000005828464,0.000018945773,0.000026940525,0.000014783857],"domain_scores_gemma":[0.99954695,0.0002856212,0.000038537062,0.000039942177,0.0000551089,0.000033969845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031876963,0.0003785374,0.00062379637,0.00035396178,0.00038506457,0.0010626774,0.0012647767,0.0014266362,0.0011166614],"category_scores_gemma":[0.0016507155,0.0003744931,0.00066246977,0.0003616776,0.0012357797,0.0014354269,0.0005851625,0.0008088467,0.00023051289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044636898,0.000035123154,0.00069929176,0.00008470934,0.000026422664,0.00013900528,0.00012443667,0.87203336,0.008498005,0.11094462,0.0004847011,0.0068857246],"study_design_scores_gemma":[0.0000048927404,0.0000041275302,0.00011384597,0.0000033862077,0.0000025272,0.000023552602,0.000006600965,0.97917664,0.00034847364,0.020064374,0.00024611116,0.000005428822],"about_ca_topic_score_codex":0.0024212273,"about_ca_topic_score_gemma":0.0010825281,"teacher_disagreement_score":0.0024212273,"about_ca_system_score_codex":0.00058112654,"about_ca_system_score_gemma":0.00053475937,"threshold_uncertainty_score":0.0048142076},"labels":[],"label_agreement":null},{"id":"W2999901984","doi":"10.1016/j.jtbi.2020.110164","title":"Cultural specialization and genetic diversity: Killer whales and beyond","year":2020,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Genetic diversity; Biology; Ecology; Nucleotide diversity; Evolutionary biology; Diversity (politics); Biodiversity; Niche; Population; Whale; Haplotype; Genetics; Demography; Allele; Gene; Sociology","score_opus":0.016017471259039948,"score_gpt":0.23677932839430574,"score_spread":0.2207618571352658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999901984","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0478042,0.8663243,0.0027218664,0.04140744,0.0010350014,0.000016954646,0.0001478291,0.000026126827,0.040516224],"genre_scores_gemma":[0.25383443,0.7231189,0.0016305465,0.009046863,0.0040734806,0.000037054477,0.00014418477,0.00001724895,0.008097265],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997874,0.000060149086,0.000019011304,0.000044471144,0.000032481435,0.00005634008],"domain_scores_gemma":[0.9988776,0.0007878354,0.00007790051,0.000042298438,0.00011630302,0.00009805742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010987463,0.00041774585,0.0005053388,0.0024612024,0.0007746916,0.0028510224,0.00039414366,0.0015593627,0.0035869582],"category_scores_gemma":[0.0012643948,0.00019443326,0.00036424198,0.0023587437,0.003897008,0.003864151,0.0025137425,0.0019101477,0.0002564914],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019652587,0.0000912508,0.026401123,0.0027111557,0.00024761003,0.001005084,0.009886447,0.0010325658,0.0032052917,0.23724432,0.015466724,0.7025119],"study_design_scores_gemma":[0.000024818613,0.00024750695,0.15226093,0.0056985454,0.0002447424,0.0017879299,0.017714987,0.00073862757,0.0007365806,0.2938422,0.5265775,0.00012561813],"about_ca_topic_score_codex":0.012470424,"about_ca_topic_score_gemma":0.01574064,"teacher_disagreement_score":0.012470424,"about_ca_system_score_codex":0.00086279603,"about_ca_system_score_gemma":0.00090485835,"threshold_uncertainty_score":0.024795651},"labels":[],"label_agreement":null},{"id":"W3000297642","doi":"10.1016/j.jtbi.2020.110172","title":"Identification of potential therapeutic targets in Neisseria gonorrhoeae by an in-silico approach","year":2020,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Deutscher Akademischer Austauschdienst; University Grants Commission","keywords":"Neisseria gonorrhoeae; In silico; Identification (biology); Computational biology; Biology; Microbiology; Ecology; Genetics","score_opus":0.005773743987130411,"score_gpt":0.26106425754155,"score_spread":0.25529051355441956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000297642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76849437,0.006605656,0.19766293,0.0017236675,0.00022465065,0.00064222864,0.005438325,0.0024671918,0.01674103],"genre_scores_gemma":[0.9271813,0.0025623166,0.06528691,0.0002746191,0.00002640841,0.00015498676,0.002988947,0.00005895894,0.0014654852],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999798,0.00008676227,0.000014887421,0.000026020985,0.00005076334,0.000023546123],"domain_scores_gemma":[0.99973077,0.00018388561,0.000028605471,0.000012827059,0.000030439243,0.00001352685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004888491,0.00071994145,0.00108376,0.00059848995,0.00029829328,0.0010567196,0.0005427726,0.0007732611,0.002536713],"category_scores_gemma":[0.00090185995,0.00035367216,0.0012775846,0.0003237808,0.00016806296,0.00030363415,0.00030231065,0.00056671124,0.0005626646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020108821,0.0013307075,0.022396715,0.0026572288,0.0009488006,0.0022701668,0.0001364859,0.47223687,0.4179411,0.008982916,0.0027262245,0.06636191],"study_design_scores_gemma":[0.00019378842,0.0014247921,0.003308862,0.00010009986,0.0010936706,0.0010129976,0.00012404588,0.84843224,0.13068508,0.0034589544,0.010119716,0.000045882665],"about_ca_topic_score_codex":0.0008944405,"about_ca_topic_score_gemma":0.001754627,"teacher_disagreement_score":0.002536713,"about_ca_system_score_codex":0.0004143258,"about_ca_system_score_gemma":0.00071041746,"threshold_uncertainty_score":0.008486152},"labels":[],"label_agreement":null},{"id":"W3004739642","doi":"10.1016/j.jtbi.2020.110190","title":"Impact of influenza vaccine-modified infectivity on attack rate, case fatality ratio and mortality","year":2020,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada","keywords":"Infectivity; Vaccination; Case fatality rate; Outbreak; Transmission (telecommunications); Medicine; Virology; Attack rate; Transmissibility (structural dynamics); Mortality rate; Immunization; Epidemiology; Disease; Environmental health; Immunology; Virus; Internal medicine; Antibody","score_opus":0.13231155929097302,"score_gpt":0.47301333846530347,"score_spread":0.3407017791743304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004739642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986217,0.0002834433,0.00017109206,0.000081291095,0.00001535954,0.0000044693816,0.00008215517,0.000008433936,0.00073210004],"genre_scores_gemma":[0.9997136,0.000035615023,0.000050898077,0.000010317777,0.0000063182442,0.0000013913705,0.00003007191,0.0000019864256,0.00014975035],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922764,0.000436542,0.000024738794,0.00009027792,0.00006991143,0.00015084776],"domain_scores_gemma":[0.9951734,0.0037772427,0.00037879005,0.00020173323,0.00010534215,0.00036352692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017059832,0.00031499722,0.00033450013,0.00034953206,0.00018491253,0.0006065363,0.00043682777,0.00065181806,0.0022350727],"category_scores_gemma":[0.0087401485,0.00016260194,0.0007134199,0.00017353852,0.00047765372,0.00041526134,0.00026088668,0.00064532075,0.00018308844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.10149545,0.007951598,0.67870367,0.00028095552,0.002942829,0.0023201213,0.00048940437,0.052283634,0.08581923,0.004053329,0.0011823747,0.062477473],"study_design_scores_gemma":[0.0004642116,0.017330175,0.9173457,0.000024232315,0.001382416,0.0011967905,0.0003039441,0.04737446,0.012165575,0.0017135917,0.0006300042,0.000068918496],"about_ca_topic_score_codex":0.0026523974,"about_ca_topic_score_gemma":0.0011334901,"teacher_disagreement_score":0.0026523974,"about_ca_system_score_codex":0.00048409335,"about_ca_system_score_gemma":0.000531708,"threshold_uncertainty_score":0.009022236},"labels":[],"label_agreement":null},{"id":"W3009741602","doi":"10.1016/j.jtbi.2020.110240","title":"Reactivity of communities at equilibrium and periodic orbits","year":2020,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reactivity (psychology); Perturbation (astronomy); Periodic orbits; Scaling; Statistical physics; Physics; Perturbation theory (quantum mechanics); Transient (computer programming); Steady state (chemistry); Classical mechanics; Mathematics; Computer science; Quantum mechanics; Chemistry; Medicine","score_opus":0.040847675150069165,"score_gpt":0.3043140695766889,"score_spread":0.26346639442661973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009741602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94435316,0.00022034331,0.044130906,0.0012920133,0.00005586703,0.000029921295,0.00010290818,0.00007510937,0.009739845],"genre_scores_gemma":[0.99661154,0.00009618664,0.0015883569,0.000053159445,0.00002780935,0.000020884192,0.00004284631,0.000012836264,0.0015463593],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993357,0.0002788272,0.00002032288,0.00012452989,0.00009575385,0.0001447025],"domain_scores_gemma":[0.99093705,0.0056165457,0.0012699108,0.0004949579,0.0005222899,0.001159362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020777648,0.0003643809,0.0007993947,0.0013879217,0.0010816957,0.0017955449,0.001355769,0.0015532055,0.0043651704],"category_scores_gemma":[0.017378751,0.00050220767,0.00067219714,0.0004678457,0.002570082,0.0025973655,0.0022122536,0.0010507491,0.0002628278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046156746,0.00020357488,0.018231878,0.00015414972,0.00019469723,0.0009691044,0.0012503053,0.23807931,0.008834326,0.7155003,0.0029872572,0.013133439],"study_design_scores_gemma":[0.000051537092,0.000103722865,0.006469084,0.000020118032,0.000033380365,0.00034383676,0.00069976324,0.4797358,0.0006480597,0.5111731,0.0006784881,0.00004307855],"about_ca_topic_score_codex":0.0016105445,"about_ca_topic_score_gemma":0.0007327987,"teacher_disagreement_score":0.0043651704,"about_ca_system_score_codex":0.00085339,"about_ca_system_score_gemma":0.00053046254,"threshold_uncertainty_score":0.014602959},"labels":[],"label_agreement":null},{"id":"W3010199826","doi":"10.1016/j.jtbi.2020.110214","title":"Quantifying nutrient throughput and DOM production by algae in continuous culture","year":2020,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Algal biology and biofuel production","field":"Energy","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Allison University; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Gordon and Betty Moore Foundation; Simons Foundation; United States-Israel Binational Science Foundation; National Science Foundation","keywords":"Chemostat; Nutrient; Algae; Phosphorus; Biomass (ecology); Dilution; Biology; Dissolved organic carbon; Nitrogen; Limiting; Botany; Organic matter; Environmental chemistry; Ecology; Chemistry; Physics","score_opus":0.017426472728160867,"score_gpt":0.2698266960895621,"score_spread":0.2524002233614012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010199826","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930607,0.00028140857,0.005176474,0.000028641165,0.000010372162,0.000026644284,0.00077515404,0.000062447005,0.00057809614],"genre_scores_gemma":[0.9862164,0.0004554641,0.011039386,0.000032429598,0.0000105482395,0.00010452821,0.0011043376,0.000028786053,0.0010080163],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995803,0.000038770446,0.00003242792,0.00016991355,0.00013595105,0.000042565454],"domain_scores_gemma":[0.99921477,0.00037540367,0.00011755516,0.000089006506,0.00014373315,0.00005950944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044613608,0.0004181947,0.00047995648,0.0002961996,0.00027149738,0.0006386449,0.0004649524,0.00051604694,0.00035748997],"category_scores_gemma":[0.0006571051,0.00021045562,0.00038413532,0.00063941197,0.0002979093,0.0004911321,0.00044651452,0.00068756804,0.00021403586],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017443365,0.00012230479,0.012047951,0.000081414306,0.000025601734,0.00004263866,0.000101512174,0.0023818684,0.9796402,0.00007056203,0.000053332395,0.0052582105],"study_design_scores_gemma":[0.000021641357,0.00066676096,0.046163663,0.000012647416,0.000051989533,0.000081227685,0.00017443475,0.04810777,0.90347946,0.00017615662,0.0010311038,0.00003305488],"about_ca_topic_score_codex":0.004796835,"about_ca_topic_score_gemma":0.0043245014,"teacher_disagreement_score":0.004796835,"about_ca_system_score_codex":0.0005578676,"about_ca_system_score_gemma":0.00031792014,"threshold_uncertainty_score":0.009537816},"labels":[],"label_agreement":null},{"id":"W3011251968","doi":"10.1016/j.jtbi.2020.110251","title":"A multiple fascicle muscle force model of the human triceps surae","year":2020,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Fascicle; Anatomy; Ankle; Tendon; Cadaver; Biomechanics; Soleus muscle; Muscle contraction; Physics; Materials science; Medicine; Skeletal muscle","score_opus":0.018142956862699414,"score_gpt":0.23267253477761274,"score_spread":0.21452957791491334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011251968","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31754333,0.0010149373,0.64114404,0.00090279605,0.00019044573,0.00017833193,0.00078320346,0.00034780437,0.037895203],"genre_scores_gemma":[0.9707116,0.00039027462,0.01496057,0.00006083693,0.00003557502,0.00016171651,0.00015872829,0.000029947372,0.013490747],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989605,0.00003057941,0.0000076083843,0.000030921907,0.000023017086,0.000011862664],"domain_scores_gemma":[0.999864,0.000049902086,0.000020198544,0.00001564411,0.00003327291,0.00001703851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022471377,0.0004530762,0.00050935114,0.00035390843,0.00029868315,0.0004027631,0.000801511,0.0013983067,0.004269035],"category_scores_gemma":[0.00038434064,0.00022876938,0.00058575487,0.00028755615,0.0003106401,0.00055102323,0.0003848279,0.00037361908,0.00066697464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000825482,0.00009478407,0.00093186955,0.00013517422,0.000059842587,0.00067202863,0.00017933347,0.9478562,0.025571689,0.012623366,0.00048767484,0.011305534],"study_design_scores_gemma":[0.000012220798,0.00009008385,0.0007885241,0.000009574402,0.000014422339,0.0001198385,0.000026390735,0.99613756,0.00044232424,0.0014181176,0.0009317158,0.000009181027],"about_ca_topic_score_codex":0.006122453,"about_ca_topic_score_gemma":0.0041655223,"teacher_disagreement_score":0.006122453,"about_ca_system_score_codex":0.0002717815,"about_ca_system_score_gemma":0.0004510143,"threshold_uncertainty_score":0.0142813325},"labels":[],"label_agreement":null},{"id":"W3015519064","doi":"10.1016/j.jtbi.2020.110265","title":"Modeling the waning and boosting of immunity from infection or vaccination","year":2020,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; York University; National Institutes of Health; American Institute of Mathematics; National Science Foundation","keywords":"Vaccination; Medicine; Immunity; Immunology; Pediatrics; Immunization; Booster (rocketry); Disease; Herd immunity; Population; Immune system; Demography; Environmental health; Internal medicine","score_opus":0.09834097798518389,"score_gpt":0.3955587144089696,"score_spread":0.29721773642378574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015519064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8839901,0.0006145453,0.08594998,0.0024737979,0.00010652526,0.00013003727,0.0012187316,0.00015751462,0.025358863],"genre_scores_gemma":[0.9829364,0.00040334254,0.007825896,0.00016534387,0.000038204475,0.00015269977,0.0002669763,0.000035679463,0.0081755575],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959,0.00018624142,0.000016813185,0.00005775854,0.000028388391,0.000120841185],"domain_scores_gemma":[0.99815446,0.0011347655,0.00034304013,0.00007624194,0.000084996216,0.00020645995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009034119,0.0005452925,0.0006092875,0.0005232742,0.00043817336,0.0011298858,0.0015785753,0.002136518,0.0041192416],"category_scores_gemma":[0.0052622776,0.0004911763,0.0007476022,0.0005836007,0.0009192081,0.0012028487,0.0009810672,0.00084170024,0.00047709217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064979395,0.00007932877,0.005807535,0.000049633207,0.000043137006,0.00016357846,0.00017831993,0.9719473,0.0010203639,0.017819092,0.000583437,0.0022433312],"study_design_scores_gemma":[0.000029379933,0.00006900272,0.0015576803,0.00001311976,0.000023306784,0.000032965712,0.000073825926,0.9882867,0.0001047,0.009169181,0.0006281982,0.000011991309],"about_ca_topic_score_codex":0.019330712,"about_ca_topic_score_gemma":0.0111577,"teacher_disagreement_score":0.019330712,"about_ca_system_score_codex":0.0013069914,"about_ca_system_score_gemma":0.0011304052,"threshold_uncertainty_score":0.038436413},"labels":[],"label_agreement":null},{"id":"W3020240424","doi":"10.1016/j.jtbi.2020.110294","title":"Electric discharge of electrocytes: Modelling, analysis and simulation","year":2020,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Resistor; Electric potential; Voltage drop; Electric field; Electric current; Mechanics; Materials science; Voltage; Physics; Topology (electrical circuits); Current (fluid); Electrical engineering; Thermodynamics; Engineering; Quantum mechanics","score_opus":0.025880770788567507,"score_gpt":0.28259049732658786,"score_spread":0.2567097265380204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3020240424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5447474,0.0026730336,0.42768702,0.0014881262,0.00019789714,0.00011231108,0.00051394285,0.0004663065,0.02211403],"genre_scores_gemma":[0.98370034,0.0008326692,0.011221408,0.00008925875,0.000034154316,0.00008156856,0.0001378041,0.000056289846,0.0038466032],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991477,0.00002455402,0.0000066009025,0.000016369144,0.000022442586,0.000015356385],"domain_scores_gemma":[0.99951243,0.0002932168,0.000047215686,0.000035994693,0.00007352951,0.000037657126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002879674,0.00033522802,0.0007348221,0.0003353153,0.000405766,0.00089103595,0.0010141984,0.0017318677,0.0012009855],"category_scores_gemma":[0.0013971113,0.00034130577,0.0008231567,0.0004248261,0.0008173301,0.0006949794,0.00058475917,0.000788675,0.00024821967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014716296,0.000017403687,0.00042031478,0.000025080626,0.0000103850225,0.000054969103,0.000030282828,0.9924465,0.0017420906,0.0038368327,0.00012287809,0.001278735],"study_design_scores_gemma":[0.0000040324453,0.000004947134,0.00013996629,0.0000024971257,0.0000024067629,0.00001647531,0.0000060871503,0.99817765,0.0001923764,0.0013089231,0.00014161914,0.000003151693],"about_ca_topic_score_codex":0.0069184443,"about_ca_topic_score_gemma":0.002536228,"teacher_disagreement_score":0.0069184443,"about_ca_system_score_codex":0.0005906941,"about_ca_system_score_gemma":0.0006602149,"threshold_uncertainty_score":0.013756335},"labels":[],"label_agreement":null},{"id":"W3022003458","doi":"10.1016/j.jtbi.2018.12.013","title":"A two-thresholds policy to interrupt transmission of West Nile Virus to birds","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Interrupt; West Nile virus; Transmission (telecommunications); Virology; Biology; Virus; Computer science; Telecommunications","score_opus":0.010301824963329268,"score_gpt":0.34592867987337217,"score_spread":0.3356268549100429,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022003458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48555768,0.00096672704,0.36417603,0.036203142,0.002797192,0.0014627639,0.0008517288,0.0015760395,0.1064087],"genre_scores_gemma":[0.9687694,0.00010770093,0.019100245,0.002362657,0.00017334879,0.00022349974,0.00004390105,0.000031904023,0.009187395],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971228,0.0011460476,0.000110057976,0.0004422642,0.00035212337,0.0008267284],"domain_scores_gemma":[0.9935062,0.004008609,0.0005538753,0.0003733784,0.0005591337,0.000998797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004320844,0.00071459234,0.0011296732,0.0009688349,0.0007709769,0.002372246,0.0027741098,0.004820492,0.010290875],"category_scores_gemma":[0.011991081,0.0004981447,0.000859955,0.00039298082,0.0011705679,0.0029370624,0.001814475,0.003301873,0.00070910755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0045377826,0.004054134,0.0071963533,0.0008259879,0.00047980144,0.0010690877,0.0007336647,0.2613647,0.032201834,0.4650518,0.03940781,0.1830771],"study_design_scores_gemma":[0.001995571,0.0023504763,0.009568817,0.0001969699,0.0002788627,0.0006567755,0.0009265023,0.48456633,0.0059488243,0.47076267,0.022479642,0.00026851182],"about_ca_topic_score_codex":0.0033400103,"about_ca_topic_score_gemma":0.0023589144,"teacher_disagreement_score":0.010290875,"about_ca_system_score_codex":0.0025384307,"about_ca_system_score_gemma":0.0034664795,"threshold_uncertainty_score":0.03442633},"labels":[],"label_agreement":null},{"id":"W3023276057","doi":"10.1016/j.jtbi.2020.110306","title":"When optimal foragers meet in a game theoretical conflict: A model of kleptoparasitism","year":2020,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"H2020 Marie Skłodowska-Curie Actions; National Research, Development and Innovation Office; Horizon 2020; Horizon 2020 Framework Programme; Nemzeti Kutatási Fejlesztési és Innovációs Hivatal; Hungarian Science Foundation","keywords":"Kleptoparasitism; Foraging; Optimal foraging theory; Mathematical economics; Game theory; Predation; Computer science; Mathematics; Ecology; Biology","score_opus":0.038336017090472935,"score_gpt":0.31674099495644215,"score_spread":0.2784049778659692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023276057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73816556,0.00057979696,0.17399296,0.0043580183,0.00010066583,0.00012171811,0.00019974099,0.000116085204,0.08236548],"genre_scores_gemma":[0.98502594,0.00012952364,0.0077160946,0.0001888084,0.00003739941,0.00007028767,0.000044501005,0.000024490624,0.006763107],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998816,0.00045966916,0.00006565128,0.00021242352,0.000169527,0.0002767298],"domain_scores_gemma":[0.9975017,0.001010474,0.000495827,0.00017886749,0.00014725888,0.000665966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001538303,0.0006154763,0.0011391107,0.0007930664,0.001640672,0.004065758,0.002230409,0.003107064,0.005725489],"category_scores_gemma":[0.005719943,0.00047396205,0.0010042149,0.0005527125,0.003522806,0.0036315378,0.0031551789,0.0021330817,0.00077156076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019336508,0.00012018557,0.0028172673,0.00007685277,0.000066507986,0.0019005677,0.0016216722,0.059814613,0.0027137601,0.9254563,0.0013711604,0.003847837],"study_design_scores_gemma":[0.000110245855,0.00010041015,0.000772445,0.000022236476,0.000024117471,0.00049723865,0.00074479065,0.32983437,0.00017415412,0.6659716,0.0016989602,0.000049472863],"about_ca_topic_score_codex":0.0024236897,"about_ca_topic_score_gemma":0.0014260814,"teacher_disagreement_score":0.005725489,"about_ca_system_score_codex":0.0014820667,"about_ca_system_score_gemma":0.00070851884,"threshold_uncertainty_score":0.019153714},"labels":[],"label_agreement":null},{"id":"W3025683917","doi":"10.1016/j.jtbi.2020.110320","title":"A within-host mathematical model of H9N2 avian influenza infection and type-I interferon response pathways in chickens","year":2020,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Immune Cell Function and Interaction","field":"Immunology and Microbiology","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Canada First Research Excellence Fund; Canada Research Chairs","keywords":"Biology; Viral shedding; Virus; Interferon; Immune system; Virology; Innate immune system; Influenza A virus subtype H5N1; Influenza A virus; Immunology; Microbiology","score_opus":0.026018599817213148,"score_gpt":0.26717080208260324,"score_spread":0.24115220226539008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025683917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74693453,0.0015779956,0.19414392,0.004703737,0.0002750478,0.000099056015,0.0011310304,0.00018016824,0.05095452],"genre_scores_gemma":[0.9710911,0.00041660937,0.0059128455,0.0001528991,0.00005573284,0.00008509434,0.000167926,0.000042406424,0.02207549],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997315,0.000111871625,0.00000996103,0.00005480949,0.000029661722,0.00006212353],"domain_scores_gemma":[0.99911314,0.0004319907,0.00017147053,0.000031539053,0.00013796834,0.000113829694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006247885,0.0007771838,0.0012083822,0.00055281445,0.000822839,0.0013828838,0.0018074766,0.0024566574,0.004054496],"category_scores_gemma":[0.0015873559,0.0006591889,0.0010104943,0.00043371398,0.0012347455,0.0014880147,0.00127642,0.0012127016,0.00041624723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009108917,0.000059012724,0.0013733122,0.000052045674,0.00005388554,0.0003622871,0.00007843254,0.95497257,0.0018706432,0.0394489,0.0006801239,0.0009577783],"study_design_scores_gemma":[0.000022252352,0.000027371567,0.0003100509,0.000004449464,0.000019191784,0.000034205255,0.000038508686,0.99619496,0.00006611306,0.003056744,0.00021624348,0.000009885097],"about_ca_topic_score_codex":0.027362395,"about_ca_topic_score_gemma":0.012572695,"teacher_disagreement_score":0.027362395,"about_ca_system_score_codex":0.0016590363,"about_ca_system_score_gemma":0.0014843809,"threshold_uncertainty_score":0.054406285},"labels":[],"label_agreement":null},{"id":"W3037044269","doi":"10.1016/j.jtbi.2020.110384","title":"The effects of phenotypic plasticity on the fixation probability of mutant cancer stem cells","year":2020,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Cancer Institute; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Biology; Cancer stem cell; Stem cell; Progenitor cell; Population; Plasticity; Cancer cell; Phenotypic plasticity; Cellular differentiation; Cell biology; Cancer; Genetics; Gene; Medicine","score_opus":0.01726548661613626,"score_gpt":0.26764034903743544,"score_spread":0.2503748624212992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037044269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99315506,0.000077452525,0.0040025096,0.00021980438,0.000013235953,0.0000049393107,0.00004697823,0.00004771216,0.002432311],"genre_scores_gemma":[0.9994405,0.00002914465,0.00025405522,0.0000102098375,0.0000027949116,0.0000029174225,0.00001286584,0.000009684556,0.00023787115],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997689,0.00007517308,0.000009189582,0.000039955994,0.00004337671,0.00006337299],"domain_scores_gemma":[0.9949521,0.0036773854,0.00044814442,0.0002612729,0.00019997553,0.0004611584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065751927,0.0002955646,0.00027624113,0.00055690465,0.0004285854,0.0008072632,0.0006006002,0.00062657864,0.0032272006],"category_scores_gemma":[0.007645704,0.00019093655,0.00024529392,0.000173058,0.000706978,0.00060740486,0.0005320784,0.00066509604,0.00017157989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010949704,0.00026675785,0.019347575,0.00018445775,0.000093244926,0.0012835438,0.00031109192,0.20080099,0.63819176,0.113938,0.0011207162,0.023366926],"study_design_scores_gemma":[0.0001330812,0.00075946463,0.048663903,0.00002878382,0.00011536081,0.0014084872,0.00049156015,0.7653035,0.12173566,0.060396142,0.0008047537,0.00015928462],"about_ca_topic_score_codex":0.0010125316,"about_ca_topic_score_gemma":0.00063596666,"teacher_disagreement_score":0.0032272006,"about_ca_system_score_codex":0.00052049273,"about_ca_system_score_gemma":0.00034186494,"threshold_uncertainty_score":0.01079607},"labels":[],"label_agreement":null},{"id":"W3038631324","doi":"10.1016/j.jtbi.2020.110382","title":"Reducing courtship time promotes marital bliss: The Battle of the Sexes game revisited with costs measured as time lost","year":2020,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Horizon 2020","keywords":"BLISS; Courtship; Population; Offspring; Nash equilibrium; Courtship display; Battle; Biology; Mathematical economics; Economics; Ecology; Demography; Computer science; Geography; Genetics","score_opus":0.011321242591682195,"score_gpt":0.26133098859420995,"score_spread":0.25000974600252773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038631324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9851023,0.00015898551,0.0032973478,0.0015341799,0.000026115205,0.00001847929,0.00005030795,0.000012237453,0.00980007],"genre_scores_gemma":[0.99827194,0.000054368757,0.0007259742,0.00013089726,0.0000066797556,0.000009038889,0.0000060439634,0.0000063795956,0.0007888113],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993575,0.00032957838,0.000018742694,0.000095774936,0.00007877571,0.00011962988],"domain_scores_gemma":[0.99174,0.005368888,0.0011218251,0.00049916795,0.00021657912,0.0010535727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001978707,0.0004813608,0.0007821487,0.0003951489,0.000682739,0.0017632919,0.001355219,0.0017538253,0.015026896],"category_scores_gemma":[0.011847375,0.00032827305,0.00031936524,0.00028667474,0.0015628516,0.0019503373,0.0013466509,0.0020378325,0.00031580613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011712901,0.006043603,0.07407802,0.0012012328,0.00072643085,0.0013097585,0.0034054164,0.035093997,0.15796572,0.55896866,0.0062171,0.14327723],"study_design_scores_gemma":[0.0016212759,0.0065223835,0.18851161,0.00018613883,0.00084041926,0.0011202582,0.007643746,0.18040884,0.017826298,0.5869505,0.008129221,0.00023925693],"about_ca_topic_score_codex":0.0021419118,"about_ca_topic_score_gemma":0.0049817306,"teacher_disagreement_score":0.015026896,"about_ca_system_score_codex":0.0008212829,"about_ca_system_score_gemma":0.0010695431,"threshold_uncertainty_score":0.05026996},"labels":[],"label_agreement":null},{"id":"W30412698","doi":"10.1016/j.jtbi.2018.11.005","title":"An inter-enactive approach to agency: participatory sense-making, dynamics, and sociality","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Embodied and Extended Cognition","field":"Neuroscience","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Victoria","keywords":"Agency (philosophy); Sociality; Dynamics (music); Epistemology; Process (computing); Social dynamics; Sociology; Social psychology; Psychology; Computer science; Social science","score_opus":0.08526282307196813,"score_gpt":0.34346884655951776,"score_spread":0.2582060234875496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W30412698","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.100979984,0.0052217864,0.32649156,0.047771316,0.0005538912,0.00023657763,0.000104807434,0.00023043534,0.51840967],"genre_scores_gemma":[0.9708862,0.00094990217,0.02044807,0.00062963925,0.000080336744,0.00013899716,0.000017318967,0.000026644193,0.006822855],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9944945,0.003880134,0.00009878454,0.0006393575,0.0005095845,0.00037765742],"domain_scores_gemma":[0.9962633,0.0018746483,0.00040912142,0.00068875693,0.00028312983,0.00048098393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052350783,0.0005719229,0.00041544606,0.0010498011,0.0035323983,0.0069222655,0.0014001396,0.002205565,0.0055775023],"category_scores_gemma":[0.004310024,0.0002640769,0.00076555304,0.00061177195,0.03292624,0.0070542097,0.0058062053,0.0017983963,0.0004935476],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010911643,0.000015893313,0.0002924668,0.000047199905,0.000012403486,0.00007858227,0.004711776,0.0009445295,0.00045679533,0.98634976,0.00047071162,0.0066090035],"study_design_scores_gemma":[0.000015218486,0.000041003987,0.0004270842,0.000056761317,0.000009546418,0.00012088128,0.004256139,0.0035791663,0.00031025097,0.96105325,0.03010925,0.000021476779],"about_ca_topic_score_codex":0.0016977135,"about_ca_topic_score_gemma":0.0013960253,"teacher_disagreement_score":0.0069222655,"about_ca_system_score_codex":0.0030879125,"about_ca_system_score_gemma":0.0025691604,"threshold_uncertainty_score":0.02768606},"labels":[],"label_agreement":null},{"id":"W3041565367","doi":"10.1016/j.jtbi.2020.110388","title":"Prophylactic host behaviour discourages pathogen exploitation","year":2020,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pathogen; Host (biology); Transmission (telecommunications); Biology; Population; Disease; Selection (genetic algorithm); Disease transmission; Immunology; Ecology; Medicine; Virology; Environmental health; Computer science; Internal medicine","score_opus":0.00881462950996735,"score_gpt":0.2652832176650415,"score_spread":0.2564685881550741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041565367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9781382,0.00026256812,0.007096368,0.001408768,0.000056573153,0.000017917197,0.000021326503,0.00008265706,0.012915714],"genre_scores_gemma":[0.9982114,0.000051684383,0.00067168276,0.00019686682,0.0000149240195,0.0000057744455,0.000007203554,0.000008818003,0.0008318237],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99955577,0.00017888815,0.000015103558,0.00006067331,0.00008294726,0.00010659989],"domain_scores_gemma":[0.9927349,0.003610464,0.001683448,0.00078362477,0.00027597696,0.000911636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012025686,0.00025891323,0.0004313831,0.00045669408,0.0003546995,0.0010620038,0.00039585828,0.0014025237,0.0053192745],"category_scores_gemma":[0.007262664,0.00022757023,0.00022176543,0.00015710964,0.0008827048,0.0006475726,0.0009792253,0.0014889077,0.00042344112],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027362641,0.0017951841,0.12623046,0.0013090494,0.00044259065,0.002296002,0.0012354769,0.03236009,0.49561054,0.21591653,0.004790564,0.11527724],"study_design_scores_gemma":[0.0008161533,0.008152563,0.27592903,0.00027729658,0.0005550686,0.008938383,0.002408231,0.19702068,0.06835733,0.41512722,0.02225032,0.00016770694],"about_ca_topic_score_codex":0.00018699531,"about_ca_topic_score_gemma":0.00046580168,"teacher_disagreement_score":0.0053192745,"about_ca_system_score_codex":0.0003991043,"about_ca_system_score_gemma":0.0005805425,"threshold_uncertainty_score":0.017794728},"labels":[],"label_agreement":null},{"id":"W3049742925","doi":"10.1016/j.jtbi.2020.110449","title":"The components of directional and disruptive selection in heterogeneous group-structured populations","year":2020,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Japan Society for the Promotion of Science","keywords":"Pairwise comparison; Population; Selection (genetic algorithm); Directional selection; Mathematics; Statistical physics; Applied mathematics; Stationary distribution; Randomness; Perturbation (astronomy); Mathematical optimization; Statistics; Natural selection; Computer science; Physics; Artificial intelligence; Markov chain","score_opus":0.010609836588412483,"score_gpt":0.2695440098167638,"score_spread":0.2589341732283513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049742925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6009745,0.00015649786,0.38785797,0.00028650655,0.000017129107,0.0000524875,0.000055550467,0.00009203983,0.010507441],"genre_scores_gemma":[0.9876754,0.00011225969,0.010257731,0.000037425838,0.000008718127,0.00003248055,0.000023986411,0.000014995261,0.0018368778],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99982697,0.000042069176,0.000008622477,0.000033005424,0.00005731221,0.000032071363],"domain_scores_gemma":[0.99929297,0.00024423152,0.00018879301,0.000077803474,0.00009961481,0.00009651509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050180504,0.00034377736,0.00027001588,0.0004957204,0.00034208954,0.00068671245,0.00066245813,0.0004812945,0.0010155936],"category_scores_gemma":[0.0025731311,0.00020630521,0.00043722207,0.00024957708,0.00069383945,0.00084827794,0.0008475347,0.00053109514,0.00015238194],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051215695,0.000053640837,0.011530992,0.000038332528,0.000064094704,0.00046150124,0.00039074276,0.5358323,0.021716988,0.41079205,0.00053355057,0.018534571],"study_design_scores_gemma":[0.000008549076,0.00003260716,0.0037691344,0.0000052590617,0.000022247374,0.00010136069,0.00008951364,0.9159203,0.0009514013,0.07856899,0.0005089598,0.000021681937],"about_ca_topic_score_codex":0.0031476365,"about_ca_topic_score_gemma":0.0023066313,"teacher_disagreement_score":0.0031476365,"about_ca_system_score_codex":0.0007021246,"about_ca_system_score_gemma":0.0004257052,"threshold_uncertainty_score":0.006258607},"labels":[],"label_agreement":null},{"id":"W3083858650","doi":"10.1016/j.jtbi.2020.110483","title":"Are host control strategies effective to eradicate tick-borne diseases (TBD)?","year":2020,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Canada Research Chairs","keywords":"Tick; Biology; Tick-borne disease; Population; Host (biology); Disease; Transmission (telecommunications); Lyme disease; Pathogen; Ixodes; Zoology; Ecology; Immunology; Environmental health; Medicine","score_opus":0.006470779027994734,"score_gpt":0.2508793986583725,"score_spread":0.24440861963037777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083858650","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19977757,0.60809904,0.027469749,0.115982465,0.0061495667,0.00012472479,0.00064441655,0.00024465568,0.04150769],"genre_scores_gemma":[0.79351914,0.17848383,0.0075639626,0.011838766,0.003924117,0.00009705749,0.00017331503,0.000027564533,0.004372293],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991968,0.00020849089,0.00004442941,0.00011222854,0.00019639664,0.0002416054],"domain_scores_gemma":[0.99790525,0.00088424416,0.00056272646,0.00013089296,0.00031247988,0.00020439198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026425286,0.0004576731,0.0009319413,0.0004826185,0.00030686677,0.002588351,0.000624601,0.0018529244,0.0053244773],"category_scores_gemma":[0.0035839926,0.00019944175,0.00035230172,0.00032238115,0.0020473492,0.003447696,0.0005106922,0.0014352245,0.0010449657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013380563,0.0015138122,0.031311058,0.007962124,0.0008988697,0.00058793824,0.00050947076,0.0029447079,0.08842493,0.09231398,0.024664005,0.74753106],"study_design_scores_gemma":[0.0008151825,0.007281447,0.18965818,0.0073556174,0.001825217,0.006674228,0.00962516,0.010867338,0.059880238,0.24441558,0.4613022,0.0002996023],"about_ca_topic_score_codex":0.0006850793,"about_ca_topic_score_gemma":0.00087195454,"teacher_disagreement_score":0.0053244773,"about_ca_system_score_codex":0.0005191418,"about_ca_system_score_gemma":0.0011851817,"threshold_uncertainty_score":0.017812192},"labels":[],"label_agreement":null},{"id":"W3086975502","doi":"10.1016/j.jtbi.2020.110488","title":"A one-dimensional collagen-based biomechanical model of passive soft tissue with viscoelasticity and failure","year":2020,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Tendon Structure and Treatment","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Viscoelasticity; Creep; Stress relaxation; Soft tissue; Computer science; Biomechanics; Biological system; Materials science; Work (physics); Computational model; Relaxation (psychology); Mechanics; Hysteresis; Biomedical engineering; Structural engineering; Simulation; Physics; Mechanical engineering; Composite material; Anatomy; Engineering; Biology; Surgery","score_opus":0.014150216544148615,"score_gpt":0.262285071096444,"score_spread":0.2481348545522954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086975502","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20849778,0.0029498176,0.72982866,0.002798578,0.00046930913,0.00019750468,0.0016787001,0.0004304026,0.05314926],"genre_scores_gemma":[0.92829806,0.0023164053,0.037799172,0.00044965238,0.00016348243,0.00027369018,0.00042697383,0.00012272186,0.030149853],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998319,0.000043660337,0.000012096516,0.000040950057,0.000053021617,0.000018363982],"domain_scores_gemma":[0.9997632,0.000071988245,0.000044960685,0.000026586902,0.000057664958,0.000035641628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028599525,0.0007039698,0.0005643231,0.00068673893,0.00037312327,0.0009392675,0.0016757182,0.0022917925,0.0022872037],"category_scores_gemma":[0.000720426,0.0004804971,0.0006948605,0.00062904926,0.00090387254,0.0010077539,0.0006374557,0.00058250956,0.00060104084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065594315,0.00011871481,0.0008216001,0.00015995983,0.00003882889,0.0005652292,0.00015891099,0.93231004,0.030993547,0.02911373,0.00072535523,0.00492848],"study_design_scores_gemma":[0.000019429126,0.000058334623,0.0006525453,0.000017568078,0.000021028562,0.00019238946,0.000026248128,0.9927959,0.0008284884,0.0039741513,0.0013906416,0.000023264134],"about_ca_topic_score_codex":0.0055343797,"about_ca_topic_score_gemma":0.0030826617,"teacher_disagreement_score":0.0055343797,"about_ca_system_score_codex":0.00050538,"about_ca_system_score_gemma":0.0007250112,"threshold_uncertainty_score":0.011004329},"labels":[],"label_agreement":null},{"id":"W3089239539","doi":"10.1016/j.jtbi.2020.110494","title":"The impact of random microenvironmental fluctuations on tumor control probability","year":2020,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Standard deviation; Coverage probability; Cancer; Extinction (optical mineralogy); Statistics; Mathematics; Medicine; Physics; Internal medicine; Optics","score_opus":0.01981758509507005,"score_gpt":0.3042926208894777,"score_spread":0.2844750357944077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089239539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8018258,0.0022646964,0.15767425,0.0074537573,0.0003994608,0.000056632394,0.0003066812,0.00035946714,0.029659223],"genre_scores_gemma":[0.9971016,0.00024603322,0.0010044845,0.00010369243,0.00006178568,0.000010811254,0.00001942551,0.000041327305,0.0014107906],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903476,0.00036054483,0.000025457053,0.00015774863,0.00019749839,0.0002240284],"domain_scores_gemma":[0.97464186,0.020750405,0.0016221658,0.0008828121,0.0008972173,0.0012055361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021680922,0.0005699981,0.0010498861,0.001042671,0.0007827321,0.00216342,0.0012527764,0.0015652917,0.003547019],"category_scores_gemma":[0.029097358,0.0005644571,0.00043169348,0.00051667006,0.0022831985,0.0026836595,0.0012938215,0.001676948,0.00022998951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036477562,0.00018815722,0.0036615513,0.00014060014,0.000074914475,0.0004754124,0.00014870515,0.6368117,0.007773725,0.337516,0.0024755704,0.010368945],"study_design_scores_gemma":[0.000025784104,0.000056152854,0.0018691745,0.000010796308,0.000023616592,0.00007737618,0.000054130993,0.92759746,0.000846515,0.069168516,0.00023682149,0.00003370709],"about_ca_topic_score_codex":0.0025985169,"about_ca_topic_score_gemma":0.0014266465,"teacher_disagreement_score":0.003547019,"about_ca_system_score_codex":0.0014349656,"about_ca_system_score_gemma":0.0009779619,"threshold_uncertainty_score":0.011865914},"labels":[],"label_agreement":null},{"id":"W3092836421","doi":"10.1016/j.jtbi.2020.110476","title":"Best response dynamics improve sustainability and equity outcomes in common-pool resources problems, compared to imitation dynamics","year":2020,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario; James S. McDonnell Foundation","keywords":"Dynamics (music); Sustainability; Equity (law); Imitation; Economics; Ecology; Biology; Psychology; Political science","score_opus":0.019494035407983782,"score_gpt":0.34774366115767397,"score_spread":0.3282496257496902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092836421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81621295,0.00087426463,0.15168197,0.0028577675,0.00017364796,0.00011197835,0.00009130555,0.00024328046,0.027752815],"genre_scores_gemma":[0.9891994,0.00017855255,0.007816062,0.00009032394,0.00002316483,0.000045234967,0.000022065746,0.000027745675,0.0025974836],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991442,0.00044781005,0.000033155015,0.00013633985,0.000094974,0.00014353918],"domain_scores_gemma":[0.9934592,0.004959395,0.00055379624,0.00048144447,0.00020115176,0.00034499748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020809823,0.0007959699,0.0011226502,0.00072143937,0.0006609597,0.0013254201,0.00095100765,0.001726307,0.007360058],"category_scores_gemma":[0.010895085,0.00025969994,0.00047705605,0.000421546,0.0011326321,0.0031212054,0.0020042972,0.0011601069,0.00039880764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010138549,0.0010278138,0.0051956964,0.0005654513,0.0003154914,0.00029719147,0.00037251372,0.66591614,0.0128122,0.2062118,0.0037097493,0.10256203],"study_design_scores_gemma":[0.00017076325,0.00056486065,0.0014428563,0.000056704488,0.00009337594,0.00012926583,0.00026863292,0.8568194,0.0021248527,0.13689452,0.0014108917,0.000023884766],"about_ca_topic_score_codex":0.0010157581,"about_ca_topic_score_gemma":0.0013670068,"teacher_disagreement_score":0.007360058,"about_ca_system_score_codex":0.00075531815,"about_ca_system_score_gemma":0.0010302425,"threshold_uncertainty_score":0.024621904},"labels":[],"label_agreement":null},{"id":"W3096878615","doi":"10.1016/j.jtbi.2020.110499","title":"Effect of feedback regulation on stem cell fractions in tissues and tumors: Understanding chemoresistance in cancer","year":2020,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Division of Mathematical Sciences; National Cancer Institute; University of California, Irvine; National Institutes of Health; National Science Foundation","keywords":"Cancer stem cell; Cancer; Cell fate determination; Positive feedback; Population; Identification (biology); Cancer research; Cancer cell; Negative feedback; Cell; Biology; Medicine; Genetics; Gene; Transcription factor; Physics","score_opus":0.027585744240803817,"score_gpt":0.31968774837624797,"score_spread":0.2921020041354442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096878615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.946791,0.002275616,0.045322023,0.0008660763,0.000114632945,0.000023263834,0.000106418884,0.00034257135,0.0041583297],"genre_scores_gemma":[0.9974491,0.00031681088,0.0015897478,0.000058784477,0.000017118062,0.000008141619,0.00001969578,0.00003392018,0.00050658523],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999846,0.000029398045,0.000005764276,0.000049301576,0.000036731686,0.00003287957],"domain_scores_gemma":[0.9995165,0.00023451356,0.00007349182,0.000060421484,0.00004648803,0.000068588066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040996293,0.00037410881,0.0004969612,0.00050185237,0.00035606927,0.0009732299,0.00069524575,0.00044225893,0.0025484932],"category_scores_gemma":[0.0015854065,0.00021822187,0.00037832398,0.00020440145,0.0009033414,0.0014815426,0.00076012535,0.0005578336,0.00021848879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005427916,0.00011424949,0.003270284,0.00015011997,0.000030124093,0.000115721974,0.0001951482,0.0155021325,0.9243882,0.0331278,0.0002499926,0.022313403],"study_design_scores_gemma":[0.00010373606,0.00057996396,0.011574747,0.00003423271,0.000118315285,0.00026797396,0.0003185634,0.15663381,0.79090416,0.036716968,0.00268609,0.000061524275],"about_ca_topic_score_codex":0.0009516898,"about_ca_topic_score_gemma":0.00064467464,"teacher_disagreement_score":0.0025484932,"about_ca_system_score_codex":0.000710604,"about_ca_system_score_gemma":0.0003268705,"threshold_uncertainty_score":0.00852555},"labels":[],"label_agreement":null},{"id":"W3100575009","doi":"10.1016/j.jtbi.2020.110536","title":"A model of COVID-19 propagation based on a gamma subordinated negative binomial branching process","year":2020,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Works and Government Services Canada; Public Health Agency of Canada","funders":"","keywords":"Branching process; Negative binomial distribution; Bayesian probability; Econometrics; Computer science; Process (computing); Mathematics; Statistics; Geography; Poisson distribution","score_opus":0.19054816058178545,"score_gpt":0.4271189466791699,"score_spread":0.23657078609738444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3100575009","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23072734,0.0013941685,0.7195971,0.0076964702,0.00047411787,0.00016917409,0.0009626958,0.0005300703,0.038448896],"genre_scores_gemma":[0.91956335,0.0014171051,0.029059382,0.00071629486,0.0003953542,0.00016070015,0.0003947964,0.00014397777,0.048149057],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99809664,0.0008178659,0.00006215291,0.00035762662,0.00024165213,0.00042416327],"domain_scores_gemma":[0.98971504,0.0071210866,0.0009002162,0.00044654508,0.0008986607,0.00091847184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039655836,0.001100235,0.0024501546,0.0027134481,0.001973996,0.0044081877,0.0050775963,0.005278644,0.011374265],"category_scores_gemma":[0.01593176,0.0011948523,0.0018851903,0.0022619662,0.0032239,0.0046512936,0.0023288755,0.0040706713,0.0019221011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017737658,0.00012300738,0.0018361417,0.000115658484,0.00007857643,0.00048433268,0.0004429438,0.17440967,0.0016340332,0.80947584,0.00459777,0.0066245906],"study_design_scores_gemma":[0.00010302248,0.000050578725,0.00042017022,0.000025689855,0.0000597959,0.0002925906,0.000068199835,0.79768,0.0001815188,0.19967508,0.0013880575,0.000055351342],"about_ca_topic_score_codex":0.011238381,"about_ca_topic_score_gemma":0.0047298055,"teacher_disagreement_score":0.011374265,"about_ca_system_score_codex":0.0032666605,"about_ca_system_score_gemma":0.0021771383,"threshold_uncertainty_score":0.03805071},"labels":[],"label_agreement":null},{"id":"W3105813013","doi":"10.1016/j.jtbi.2020.110534","title":"Deciphering the dynamics of lamellipodium in a fish keratocytes model","year":2020,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Lamellipodium; Ode; Motility; Ordinary differential equation; Bistability; Dynamics (music); Saddle; Partial differential equation; Biological system; Pattern formation; Leading edge; Biology; Physics; Differential equation; Cell biology; Mechanics; Cell migration; Cell; Mathematical analysis; Mathematics","score_opus":0.009956890295575555,"score_gpt":0.24994607828673676,"score_spread":0.2399891879911612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3105813013","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8220709,0.0009333862,0.1435303,0.0012250588,0.0001260723,0.00006173777,0.00045001038,0.00025003773,0.031352572],"genre_scores_gemma":[0.98471653,0.0003585138,0.006983374,0.00008020267,0.000022742344,0.000050760158,0.000116180185,0.00004990152,0.0076217325],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999362,0.00001104072,0.000003052832,0.000017152728,0.000015286214,0.000017261327],"domain_scores_gemma":[0.99985707,0.000039769548,0.000028280201,0.000015372454,0.000025776713,0.00003373347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011511765,0.00047369374,0.00062098016,0.00043192125,0.00065433106,0.00075142743,0.0011585663,0.0015483659,0.002793456],"category_scores_gemma":[0.00050384726,0.00042570638,0.0007290248,0.00030179633,0.0008698629,0.0010679028,0.0007124226,0.00082866685,0.00024887468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081644816,0.000058143723,0.002187951,0.00011001703,0.00006393882,0.0004015105,0.00022484604,0.90680623,0.026334967,0.060647823,0.00066994276,0.0024129674],"study_design_scores_gemma":[0.000013088193,0.000012289275,0.00039317808,0.0000047584417,0.000011865743,0.000026499938,0.000034882214,0.99532,0.00045596514,0.0034199557,0.00029836953,0.000009146534],"about_ca_topic_score_codex":0.025013708,"about_ca_topic_score_gemma":0.010433604,"teacher_disagreement_score":0.025013708,"about_ca_system_score_codex":0.0008591314,"about_ca_system_score_gemma":0.0011519014,"threshold_uncertainty_score":0.04973626},"labels":[],"label_agreement":null},{"id":"W3110217940","doi":"10.1016/j.jtbi.2020.110543","title":"The effect of the opting-out strategy on conditions for selection to favor the evolution of cooperation in a finite population","year":2020,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Chinese Academy of Sciences","keywords":"Population; Selection (genetic algorithm); Neutrality; Fixation (population genetics); Heavy traffic approximation; Opting out; Mathematical economics; Limit (mathematics); Mathematics; Statistics; Mathematical optimization; Computer science; Economics; Demography","score_opus":0.013807714323795277,"score_gpt":0.32894222104231924,"score_spread":0.31513450671852394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110217940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98763055,0.0000764977,0.004776101,0.00073354115,0.00003409613,0.000010260132,0.0000459169,0.0000362741,0.0066567725],"genre_scores_gemma":[0.9985417,0.00003002148,0.0010544719,0.000068733876,0.000012846636,0.000007871481,0.0000124321405,0.000011554548,0.00026038068],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914646,0.0005405863,0.00003934573,0.000083869294,0.00006214878,0.00012758939],"domain_scores_gemma":[0.94474804,0.048424467,0.0020706642,0.0010397302,0.0009073139,0.0028097988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036977213,0.00037642036,0.0008039606,0.000677111,0.0007087451,0.0016950808,0.00074044,0.0014153671,0.004219521],"category_scores_gemma":[0.034021202,0.00031865537,0.00034091715,0.00032214585,0.0020335712,0.0015895346,0.0007511435,0.0012116433,0.00017745253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0066280533,0.001875557,0.07074171,0.00080359646,0.00067697786,0.0038931568,0.0017972983,0.2556412,0.15608187,0.4476557,0.0058271545,0.04837771],"study_design_scores_gemma":[0.0013095033,0.002470537,0.05529821,0.000085199834,0.00042538578,0.0016677286,0.0016921137,0.543618,0.010005563,0.38194063,0.0012753196,0.00021179448],"about_ca_topic_score_codex":0.0008545357,"about_ca_topic_score_gemma":0.0008685886,"teacher_disagreement_score":0.004219521,"about_ca_system_score_codex":0.0007013274,"about_ca_system_score_gemma":0.0008387135,"threshold_uncertainty_score":0.019555688},"labels":[],"label_agreement":null},{"id":"W3111768127","doi":"10.1016/j.jtbi.2022.111056","title":"Understanding dynamics of Plasmodium falciparum gametocytes production: Insights from an age-structured model","year":2022,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Malaria Research and Control","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ode; Ordinary differential equation; Gametocyte; Biology; Plasmodium falciparum; Parasite hosting; Logistic function; Delay differential equation; Applied mathematics; Differential equation; Statistical physics; Biological system; Malaria; Mathematics; Computer science; Physics; Mathematical analysis; Statistics; Immunology","score_opus":0.04352816157318704,"score_gpt":0.3068871248561963,"score_spread":0.26335896328300923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111768127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7484686,0.001289988,0.22741652,0.0049555977,0.00014785414,0.00006951567,0.00102128,0.00018778813,0.016443003],"genre_scores_gemma":[0.9863279,0.0006749055,0.0046445425,0.00022227492,0.00010282099,0.000047541103,0.00023457395,0.000044906483,0.0077006645],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997131,0.000102999045,0.000011512601,0.00006734741,0.000030537765,0.00007448681],"domain_scores_gemma":[0.9973067,0.001555354,0.0005153411,0.0001322785,0.00019302432,0.0002972241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011326115,0.00057473383,0.0015061515,0.00064806466,0.0005866899,0.0013488277,0.0022983253,0.0024651473,0.003833891],"category_scores_gemma":[0.005363148,0.0006433397,0.0010487015,0.00047129317,0.0011484441,0.00284524,0.0012423055,0.0016308492,0.0004442893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054378725,0.00006751426,0.004267283,0.00006291946,0.00006781225,0.00028942153,0.00018747183,0.8964409,0.0017431845,0.092993475,0.001421767,0.0024039708],"study_design_scores_gemma":[0.000012214247,0.0000159852,0.0008644481,0.000005484625,0.000016239268,0.00003823498,0.000028759781,0.9780346,0.000047987647,0.020716341,0.00020800145,0.000011633885],"about_ca_topic_score_codex":0.01192712,"about_ca_topic_score_gemma":0.0059566256,"teacher_disagreement_score":0.01192712,"about_ca_system_score_codex":0.0010917172,"about_ca_system_score_gemma":0.0011399237,"threshold_uncertainty_score":0.023715436},"labels":[],"label_agreement":null},{"id":"W3118588837","doi":"10.1016/j.jtbi.2021.110580","title":"Photoinhibition in optically thick samples: Effects of light attenuation on chlorophyll fluorescence-based parameters","year":2021,"lang":"en","type":"review","venue":"Journal of Theoretical Biology","topic":"Photosynthetic Processes and Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Allison University","funders":"Fundação para a Ciência e a Tecnologia; Canada Research Chairs","keywords":"Photoinhibition; Attenuation; Chlorophyll fluorescence; Fluorescence; Photosynthesis; Photosystem II; Chlorophyll; Biophysics; Botany; Biology; Optics; Physics","score_opus":0.015627709681738995,"score_gpt":0.2931283113552153,"score_spread":0.2775006016734763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118588837","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91939604,0.011604494,0.063125305,0.00022644945,0.00006123831,0.00010777444,0.0025149488,0.0004597488,0.0025039962],"genre_scores_gemma":[0.9788452,0.0026990871,0.016716633,0.00008081238,0.000008942261,0.00009144362,0.0011552789,0.000106267405,0.00029625755],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99916863,0.00012959643,0.00006968445,0.00030240632,0.00029080248,0.00003901294],"domain_scores_gemma":[0.998033,0.0010828276,0.00037230065,0.00020303909,0.00028200157,0.000026916618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016219829,0.0007812525,0.0006325108,0.00074970716,0.00023472187,0.0011116973,0.0006103043,0.0005746314,0.00040669309],"category_scores_gemma":[0.0030043086,0.0003578494,0.0012448202,0.0008734597,0.00040847494,0.001071495,0.0004732553,0.000674002,0.00013501568],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004578099,0.00016218098,0.04637103,0.003914642,0.0010977216,0.0002787406,0.00051789556,0.041829858,0.8410326,0.0017047158,0.00045169608,0.062181085],"study_design_scores_gemma":[0.000044616045,0.000809604,0.1364747,0.00047822617,0.0021251505,0.00036100607,0.0005999541,0.0981822,0.745554,0.0038842189,0.011260732,0.00022559427],"about_ca_topic_score_codex":0.003047464,"about_ca_topic_score_gemma":0.0025457274,"teacher_disagreement_score":0.003047464,"about_ca_system_score_codex":0.0009032738,"about_ca_system_score_gemma":0.00044496832,"threshold_uncertainty_score":0.008577943},"labels":[],"label_agreement":null},{"id":"W3120392546","doi":"10.1016/j.jtbi.2020.110569","title":"The effect of variability in payoffs on average abundance in two-player linear games under symmetric mutation","year":2021,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; King Fahd University of Petroleum and Minerals","keywords":"Stochastic game; Covariance; Population; Mathematics; Constant (computer programming); Mutation; Variance (accounting); Mathematical economics; Statistics; Economics; Biology; Computer science; Genetics","score_opus":0.0073938487978062115,"score_gpt":0.3269629999796399,"score_spread":0.3195691511818337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120392546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9718679,0.00011060964,0.02296388,0.0012002322,0.000024624507,0.000025443855,0.000108591244,0.000089306996,0.0036093567],"genre_scores_gemma":[0.9982145,0.0000415135,0.0011115465,0.000051395036,0.00001151618,0.000011265855,0.000017598804,0.000014315944,0.0005262831],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99694425,0.0018572554,0.00012350244,0.00039552606,0.00020183198,0.00047771216],"domain_scores_gemma":[0.84310603,0.14210975,0.007049353,0.0028612353,0.0016911285,0.0031825402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008712133,0.0006859505,0.0019758174,0.00080304063,0.00072142767,0.0027624248,0.0020011456,0.0031244014,0.0034161492],"category_scores_gemma":[0.07487792,0.0008989213,0.0007237914,0.0004341276,0.0029032545,0.003988113,0.0018202742,0.0025920689,0.00025340702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031324925,0.0009656931,0.025507046,0.00032178243,0.00047209367,0.0016552414,0.0009106502,0.754281,0.022535989,0.16958919,0.00229493,0.01833385],"study_design_scores_gemma":[0.00017171395,0.00051606755,0.011334938,0.000023747323,0.0000944502,0.0002747333,0.00037433003,0.88774914,0.0013609872,0.09782748,0.00015957734,0.00011274149],"about_ca_topic_score_codex":0.0022904507,"about_ca_topic_score_gemma":0.0017799523,"teacher_disagreement_score":0.008712133,"about_ca_system_score_codex":0.0017177745,"about_ca_system_score_gemma":0.0011643637,"threshold_uncertainty_score":0.04607469},"labels":[],"label_agreement":null},{"id":"W3136391690","doi":"10.1016/j.jtbi.2021.110676","title":"Coupled phase-amplitude dynamics in heterogeneous metacommunities","year":2021,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metacommunity; Biological dispersal; Population; Ecology; Spatial ecology; Stability (learning theory); Spatial heterogeneity; Population cycle; Biological system; Biology; Predation; Computer science","score_opus":0.017015253018732253,"score_gpt":0.30465512872032086,"score_spread":0.2876398757015886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136391690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96983397,0.00008259998,0.028644089,0.00008709367,0.000007646053,0.000011821113,0.000029542964,0.00005280871,0.0012504467],"genre_scores_gemma":[0.9986577,0.00001522195,0.0011708974,0.000008838418,0.0000026085634,0.0000055218543,0.000006867905,0.0000036672798,0.00012874689],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998871,0.000029466004,0.0000066277803,0.000035763147,0.000019683419,0.00002127585],"domain_scores_gemma":[0.9994821,0.00020031744,0.00017524466,0.000051525127,0.00004168384,0.000049104983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025046887,0.00012403112,0.00021081812,0.0003933884,0.00024249003,0.00043945108,0.000323063,0.00029441994,0.00069555023],"category_scores_gemma":[0.001491368,0.00014690567,0.0002457893,0.0001844552,0.00048991106,0.0005732709,0.0005027362,0.00024349435,0.0000815159],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003841975,0.00024122401,0.07093934,0.00018911649,0.00028167243,0.0013765217,0.0015735549,0.45152497,0.34510285,0.08327227,0.0010946699,0.044019558],"study_design_scores_gemma":[0.0000305861,0.00007635546,0.0250635,0.0000081915,0.00002770776,0.00018163995,0.00014395923,0.9423529,0.0038314264,0.027759379,0.00049893075,0.000025342913],"about_ca_topic_score_codex":0.0012243574,"about_ca_topic_score_gemma":0.0008463089,"teacher_disagreement_score":0.0012243574,"about_ca_system_score_codex":0.0002662374,"about_ca_system_score_gemma":0.0001579222,"threshold_uncertainty_score":0.0024344325},"labels":[],"label_agreement":null},{"id":"W3142784817","doi":"10.1016/j.jtbi.2021.110668","title":"A seasonal hybrid model for the evolution of flowering onset","year":2021,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Moment (physics); Biology; Variance (accounting); Reproduction; Population; Growing season; Ecology; Statistics; Mathematics; Demography; Economics; Physics","score_opus":0.028879648965581657,"score_gpt":0.2389560876608934,"score_spread":0.21007643869531176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3142784817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7238571,0.0006441719,0.24882497,0.0029576318,0.00013619308,0.000027104155,0.00062472,0.00037100748,0.022557085],"genre_scores_gemma":[0.98565525,0.0001154357,0.0064918906,0.000105183215,0.000028024191,0.00002190402,0.00011187921,0.000058915342,0.007411547],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998061,0.00008439693,0.000005929382,0.00004978189,0.000014543365,0.000039234295],"domain_scores_gemma":[0.998887,0.000793771,0.0000874818,0.000063238884,0.00005271882,0.000115740586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009185362,0.00033104626,0.0005286857,0.00054190465,0.00044991222,0.0011200171,0.0016052099,0.0014202333,0.008241478],"category_scores_gemma":[0.0027752104,0.00040117977,0.0008263427,0.00045306067,0.0008043131,0.0011851968,0.0006294439,0.00097198115,0.00055132294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021132667,0.00007032787,0.005972239,0.00007580464,0.00014555066,0.00046768805,0.00026735818,0.7588118,0.0071707726,0.21483287,0.0022488176,0.009725524],"study_design_scores_gemma":[0.000043022672,0.000024285866,0.001785031,0.00000427082,0.000024213205,0.00009913601,0.000045957444,0.9535464,0.00009495207,0.043841496,0.00046940782,0.000021822112],"about_ca_topic_score_codex":0.005967839,"about_ca_topic_score_gemma":0.0049677244,"teacher_disagreement_score":0.008241478,"about_ca_system_score_codex":0.0010297569,"about_ca_system_score_gemma":0.0004224396,"threshold_uncertainty_score":0.027570486},"labels":[],"label_agreement":null},{"id":"W31628906","doi":"10.1016/j.jtbi.2019.110053","title":"Il profilo sociostrutturale delle organizzazioni di volontariato","year":2006,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Management, Economics, and Public Policy","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Political science","score_opus":0.007467018697521234,"score_gpt":0.21439283040113497,"score_spread":0.20692581170361374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W31628906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.891755,0.0071048294,0.008647533,0.013753705,0.0002972865,0.00008508218,0.0020962516,0.00028063508,0.075979665],"genre_scores_gemma":[0.9900933,0.0023083007,0.0011128642,0.00026711388,0.0001958708,0.000042096653,0.00025096734,0.00003478213,0.0056946343],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916553,0.00031192714,0.000020125177,0.00015828981,0.00012330234,0.00022090401],"domain_scores_gemma":[0.9969318,0.0008806776,0.0007745862,0.00031557458,0.00029130708,0.00080606545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011604246,0.00024712045,0.0003133388,0.0012090593,0.0008018135,0.0029489389,0.00042170912,0.0006240773,0.011982948],"category_scores_gemma":[0.003962372,0.00014578276,0.00022108224,0.0010480388,0.0010269886,0.0011166651,0.0015634111,0.0008200161,0.0013213111],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006603795,0.0007067758,0.51154727,0.0005323377,0.0002843862,0.0010468031,0.006263723,0.011243649,0.01064244,0.1940573,0.031259697,0.23175518],"study_design_scores_gemma":[0.0000625528,0.00049034174,0.74761033,0.00021208696,0.00009816575,0.0009646156,0.0041662594,0.009686327,0.0015388677,0.05397362,0.18108274,0.000114085466],"about_ca_topic_score_codex":0.0059096906,"about_ca_topic_score_gemma":0.005953448,"teacher_disagreement_score":0.011982948,"about_ca_system_score_codex":0.0018271619,"about_ca_system_score_gemma":0.0011176367,"threshold_uncertainty_score":0.040086925},"labels":[],"label_agreement":null},{"id":"W3164575199","doi":"10.1016/j.jtbi.2021.110761","title":"Application of a novel mathematical model to identify intermediate hosts of SARS-CoV-2","year":2021,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Prevention of Organ Failure","funders":"","keywords":"Biology; Host (biology); Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Population; Coronavirus disease 2019 (COVID-19); Coronavirus; Key (lock); Ecology; Zoology; Evolutionary biology; Infectious disease (medical specialty); Medicine; Environmental health","score_opus":0.057376827469319706,"score_gpt":0.4242851779938131,"score_spread":0.3669083505244934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164575199","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05799131,0.00031980674,0.9322711,0.0014805944,0.00015645093,0.000059182392,0.00018178801,0.000121749785,0.0074180183],"genre_scores_gemma":[0.9056112,0.00042975025,0.0809271,0.00036758487,0.00021383776,0.000215244,0.00028806346,0.00007112854,0.011876064],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997104,0.00011905401,0.0000118755825,0.00006128083,0.000041090283,0.000056182078],"domain_scores_gemma":[0.9967654,0.0024373587,0.00031126954,0.00007759883,0.00028214074,0.00012626806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012591819,0.00086071406,0.001395271,0.0008654675,0.00064187014,0.0012723524,0.0016461962,0.0019060811,0.0039038532],"category_scores_gemma":[0.0060155587,0.0005275923,0.0012032172,0.00048491376,0.0009327275,0.0018376582,0.0016035158,0.0012494124,0.000319761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028631961,0.00003677756,0.00090279686,0.000039910472,0.000032172105,0.00010246891,0.000029757652,0.95591193,0.0006440837,0.039296743,0.0006482872,0.0023264217],"study_design_scores_gemma":[0.000004389132,0.00000497854,0.000044344644,0.0000014465335,0.0000039571923,0.000009648446,0.000004384735,0.9956456,0.000030524574,0.004174464,0.00007389784,0.00000240581],"about_ca_topic_score_codex":0.005873073,"about_ca_topic_score_gemma":0.003287319,"teacher_disagreement_score":0.005873073,"about_ca_system_score_codex":0.0010685842,"about_ca_system_score_gemma":0.0014977833,"threshold_uncertainty_score":0.013059735},"labels":[],"label_agreement":null},{"id":"W3166851290","doi":"10.1016/j.jtbi.2021.110798","title":"Modeling the outbreak and control of African swine fever virus in large-scale pig farms","year":2021,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Science Foundation of Chongqing","keywords":"Culling; African swine fever virus; Outbreak; African swine fever; Veterinary medicine; Transmission (telecommunications); Pig farming; Biology; Scale (ratio); Animal health; Classical swine fever; Virus; Virology; Geography; Medicine; Animal production; Animal science; Computer science; Cartography","score_opus":0.014885379805269989,"score_gpt":0.2444495112477669,"score_spread":0.2295641314424969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166851290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936575,0.000070371534,0.0037873478,0.00053050555,0.000029380633,0.000028804037,0.00020223898,0.00004051439,0.0016532678],"genre_scores_gemma":[0.9978479,0.00003925826,0.0010463793,0.000030665706,0.000009994719,0.000023105255,0.00013202566,0.000008825686,0.00086193817],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993606,0.00024004615,0.00002613639,0.00011607718,0.000037808975,0.00021935509],"domain_scores_gemma":[0.9935045,0.0050844843,0.000507717,0.00012996375,0.0003158573,0.00045741335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020430107,0.0009935412,0.0010220181,0.00073779374,0.0009979854,0.0014644691,0.002067117,0.003474935,0.002968751],"category_scores_gemma":[0.006369682,0.001125662,0.0009816946,0.0006801452,0.0015249766,0.0016834498,0.0010295607,0.0018451483,0.00017541542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000483944,0.000108006854,0.0054103415,0.000007420276,0.00002317166,0.00007826032,0.000024759882,0.9931924,0.00013023418,0.0004641323,0.00014781904,0.00036519626],"study_design_scores_gemma":[0.000015131276,0.000030252639,0.0010503483,0.0000012451486,0.0000061248334,0.0000054127913,0.00005671667,0.9985997,0.00002533125,0.00018498545,0.000020902917,0.0000037447496],"about_ca_topic_score_codex":0.12382936,"about_ca_topic_score_gemma":0.06086023,"teacher_disagreement_score":0.12382936,"about_ca_system_score_codex":0.0031856103,"about_ca_system_score_gemma":0.002011058,"threshold_uncertainty_score":0.24621719},"labels":[],"label_agreement":null},{"id":"W3169036480","doi":"10.1016/j.jtbi.2021.110788","title":"Conditions under which distributions of edge length ratios on phylogenetic trees can be used to order evolutionary events","year":2021,"lang":"en","type":"letter","venue":"Journal of Theoretical Biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Simons Foundation","keywords":"Phylogenetic tree; Tree (set theory); Molecular clock; Enhanced Data Rates for GSM Evolution; Order (exchange); Set (abstract data type); Biology; Phylogenetics; Evolutionary biology; Constant (computer programming); Mathematics; Point (geometry); Combinatorics; Computer science; Gene; Genetics; Artificial intelligence; Economics","score_opus":0.018027561594174405,"score_gpt":0.27697500258445185,"score_spread":0.25894744099027744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169036480","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09787764,0.0036126934,0.1629466,0.6597328,0.01683271,0.0000826156,0.0014701174,0.0012542801,0.056190647],"genre_scores_gemma":[0.8156502,0.0023860852,0.03686926,0.107384756,0.02051344,0.0002885766,0.00048066548,0.0005981408,0.015828786],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998403,0.0005776023,0.00012433289,0.00030692088,0.00037631748,0.00021177104],"domain_scores_gemma":[0.9708199,0.02463647,0.00084772304,0.0014803988,0.0016144677,0.00060111366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034268687,0.0002598867,0.00057368877,0.0005243569,0.0007721757,0.0023248806,0.00081914413,0.005665622,0.0038512049],"category_scores_gemma":[0.040182285,0.00037691425,0.00032106135,0.0007089366,0.003008,0.0027625298,0.00068728667,0.005165187,0.0028761525],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002800331,0.00012097043,0.013678464,0.0003489466,0.0000949947,0.008171364,0.0011782736,0.009348956,0.02570205,0.33128348,0.37585637,0.23141582],"study_design_scores_gemma":[0.00025081425,0.00013372742,0.007939892,0.000088843764,0.000039539816,0.0075050276,0.00056951755,0.043662574,0.014810491,0.8018992,0.12296524,0.0001351419],"about_ca_topic_score_codex":0.00060565304,"about_ca_topic_score_gemma":0.0006907195,"teacher_disagreement_score":0.005665622,"about_ca_system_score_codex":0.0011644263,"about_ca_system_score_gemma":0.00033718208,"threshold_uncertainty_score":0.01812321},"labels":[],"label_agreement":null},{"id":"W3173208904","doi":"10.1016/j.jtbi.2021.110816","title":"Homogenization of a reaction diffusion equation can explain influenza A virus load data","year":2021,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; United Arab Emirates University; Japan Advanced Institute of Science and Technology","keywords":"Unobservable; Homogenization (climate); Viral load; Virus; Harmonic mean; Mathematics; Biological system; Reaction–diffusion system; Biology; Virology; Mathematical analysis; Statistics; Econometrics; Ecology","score_opus":0.11847101918204,"score_gpt":0.40732370217427893,"score_spread":0.28885268299223893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173208904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6303773,0.001311456,0.34950015,0.0031370255,0.00054471573,0.00027829397,0.000601154,0.0006953273,0.013554541],"genre_scores_gemma":[0.98655915,0.0003642314,0.007924846,0.00024684882,0.00017181478,0.00008271042,0.00023975498,0.00014652938,0.00426412],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995902,0.000103752056,0.000033295953,0.00013033021,0.000062818115,0.00007970642],"domain_scores_gemma":[0.99786454,0.0013212604,0.00026609513,0.00026180435,0.00018832638,0.000097955075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010789555,0.0006381816,0.001055475,0.0009578719,0.00047849494,0.0008675696,0.0010762863,0.0012972838,0.0020584713],"category_scores_gemma":[0.0055078533,0.0003983887,0.0016620829,0.00034838912,0.0009933757,0.0015943546,0.0008378513,0.0009972474,0.00056106335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037748454,0.00029985595,0.019485978,0.0006618164,0.00036485694,0.0018780017,0.0012669497,0.5045883,0.1941345,0.25175604,0.0048465515,0.020339614],"study_design_scores_gemma":[0.000025803167,0.00006088606,0.0036770247,0.000009207547,0.000045895224,0.00019620497,0.000066233995,0.95797753,0.005814226,0.03113919,0.0009470184,0.000040818886],"about_ca_topic_score_codex":0.004665147,"about_ca_topic_score_gemma":0.0015811529,"teacher_disagreement_score":0.004665147,"about_ca_system_score_codex":0.0007973201,"about_ca_system_score_gemma":0.0005237515,"threshold_uncertainty_score":0.009275973},"labels":[],"label_agreement":null},{"id":"W3173658953","doi":"10.1016/j.jtbi.2021.110822","title":"Rolling-circle and strand-displacement mechanisms for non-enzymatic RNA replication at the time of the origin of life","year":2021,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rolling circle replication; RNA; Replication (statistics); Polymerase; Viral replication; Biophysics; Enzyme; Biology; Chemistry; Biochemistry; Genetics; Virology; Virus","score_opus":0.007361009990669892,"score_gpt":0.2568860653695379,"score_spread":0.24952505537886802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173658953","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12537648,0.111012496,0.6887484,0.0050487407,0.0037641483,0.0005221867,0.00035336713,0.0022412594,0.06293285],"genre_scores_gemma":[0.82304895,0.02329095,0.11052157,0.001183053,0.0011976854,0.0005991129,0.00029197094,0.00019834994,0.039668318],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983323,0.00023368307,0.00009492796,0.00058121845,0.00058296183,0.00017492207],"domain_scores_gemma":[0.99773955,0.0008659615,0.00053598644,0.00043743185,0.00026697575,0.00015412667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001361977,0.0009737237,0.0013713993,0.0012491703,0.0012737978,0.0021952174,0.0023080716,0.003449789,0.005178772],"category_scores_gemma":[0.0028031068,0.0009716928,0.0017964715,0.00055234885,0.003032968,0.0046026595,0.001439679,0.002822574,0.0027902778],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010981256,0.000083507846,0.0007961835,0.001423054,0.000054052176,0.00076324603,0.0006298015,0.0079563735,0.13217573,0.8220614,0.0020066614,0.031940244],"study_design_scores_gemma":[0.0001577533,0.0008687378,0.0025354112,0.0004542812,0.0001520243,0.006053162,0.0003721143,0.11984948,0.23695788,0.4947067,0.13740276,0.000489626],"about_ca_topic_score_codex":0.00036379864,"about_ca_topic_score_gemma":0.00019471043,"teacher_disagreement_score":0.005178772,"about_ca_system_score_codex":0.0013299545,"about_ca_system_score_gemma":0.00079617323,"threshold_uncertainty_score":0.017324746},"labels":[],"label_agreement":null},{"id":"W3185712561","doi":"10.1016/j.jtbi.2022.111092","title":"Genetic networks encode secrets of their past","year":2022,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Institute of General Medical Sciences","keywords":"Gene duplication; Combinatorics; Vertex (graph theory); Biology; ENCODE; Graph; Computer science; Gene; Genetics; Evolutionary biology; Mathematics","score_opus":0.004405519765277673,"score_gpt":0.2158199056771298,"score_spread":0.21141438591185213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185712561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6136739,0.0025140033,0.34014133,0.008723886,0.0009444476,0.000050524315,0.0037841434,0.0014455649,0.028722214],"genre_scores_gemma":[0.97745854,0.00085506425,0.017279536,0.00022077563,0.000114892886,0.000018405384,0.00066604855,0.0000971379,0.0032895554],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997471,0.000056699908,0.000015025958,0.00007238313,0.00007864124,0.00003017214],"domain_scores_gemma":[0.9969862,0.0017069463,0.0003150481,0.0005793151,0.00026028889,0.00015219658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000548929,0.00032596246,0.0003532732,0.0008440293,0.00043317993,0.0019025673,0.000513882,0.00080807356,0.0031755222],"category_scores_gemma":[0.0066277822,0.00035844487,0.00042391606,0.0012276956,0.0012622734,0.0048388634,0.0006926704,0.0011221536,0.0005807608],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005666915,0.00008526744,0.013254017,0.0003945924,0.0001773442,0.00072373095,0.00053397816,0.06716687,0.04136802,0.8122168,0.0042516035,0.059260935],"study_design_scores_gemma":[0.000031212054,0.000051602205,0.003293888,0.000056166868,0.00009741307,0.00028800537,0.00015316621,0.12363098,0.012149203,0.8498814,0.010321293,0.000045774737],"about_ca_topic_score_codex":0.0005830281,"about_ca_topic_score_gemma":0.0006509732,"teacher_disagreement_score":0.0031755222,"about_ca_system_score_codex":0.00069523643,"about_ca_system_score_gemma":0.00034105353,"threshold_uncertainty_score":0.010623217},"labels":[],"label_agreement":null},{"id":"W3189420026","doi":"10.1016/j.jtbi.2021.110859","title":"Co-inoculation with arbuscular mycorrhizal fungi differing in carbon sink strength induces a synergistic effect in plant growth","year":2021,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Okanagan University College; Kelowna General Hospital; Memorial University of Newfoundland; University of British Columbia, Okanagan Campus; Agriculture and Agri-Food Canada; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Nutrient; Biology; Sink (geography); Carbon sink; Plant community; Ecosystem; Ecology; Glomeromycota; Agronomy; Mycorrhiza; Symbiosis; Bacteria; Species richness","score_opus":0.005579220178749225,"score_gpt":0.21279212947445902,"score_spread":0.2072129092957098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3189420026","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916678,0.0019718404,0.0015751113,0.0002249964,0.00017513966,0.00005352003,0.00023866471,0.00017163706,0.0039212555],"genre_scores_gemma":[0.9953885,0.00027535053,0.0012379286,0.00010876587,0.00003760594,0.000042112762,0.00020733371,0.000060244634,0.002642068],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993593,0.00013167546,0.00004543059,0.00017609053,0.00013297272,0.00015454392],"domain_scores_gemma":[0.9981573,0.0006370696,0.0002124333,0.000203402,0.00008558151,0.00070420536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035288814,0.001216246,0.0010555042,0.0005804346,0.00031652383,0.0007932335,0.00054379116,0.0009378573,0.0025443186],"category_scores_gemma":[0.0004669945,0.0006604494,0.00078356947,0.00033124926,0.00057187275,0.00045714984,0.0012580041,0.0018926094,0.0007619395],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002594056,0.000038863687,0.00009958644,0.000019828854,0.0000074037453,0.000037781232,0.000010242553,0.000014565908,0.99920565,0.000022178692,0.000012536878,0.00027206846],"study_design_scores_gemma":[0.0000726146,0.001085825,0.013002178,0.000012739247,0.00009301226,0.00031948174,0.00011277477,0.00090864353,0.98313844,0.00009501841,0.0011342805,0.000024961013],"about_ca_topic_score_codex":0.0004936104,"about_ca_topic_score_gemma":0.001041766,"teacher_disagreement_score":0.0025443186,"about_ca_system_score_codex":0.00044984018,"about_ca_system_score_gemma":0.00042139832,"threshold_uncertainty_score":0.008511603},"labels":[],"label_agreement":null},{"id":"W3192863788","doi":"10.1016/j.jtbi.2021.110861","title":"Shrinkage in serial intervals across transmission generations of COVID-19","year":2021,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"General Research Fund of Shanghai Normal University; State Key Laboratory of Infectious Disease Prevention and Control; Health and Medical Research Fund; Natural Science Research of Jiangsu Higher Education Institutions of China; Research Grants Council, University Grants Committee; National Natural Science Foundation of China; Natural Science Foundation of Shanghai","keywords":"Transmission (telecommunications); Statistics; Coronavirus disease 2019 (COVID-19); Shrinkage; Inference; Population; Biology; Mathematics; Computer science; Demography; Medicine; Infectious disease (medical specialty); Disease; Telecommunications; Artificial intelligence","score_opus":0.16333994234850346,"score_gpt":0.4748459008781865,"score_spread":0.31150595852968305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192863788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60882074,0.002201191,0.37041736,0.0034767983,0.00035536077,0.00011352679,0.0011550746,0.00058198516,0.012877983],"genre_scores_gemma":[0.9707738,0.0006900087,0.01666892,0.0004066994,0.0003299587,0.00012440883,0.0006880606,0.00019113159,0.010127059],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9947901,0.0025957972,0.00022105493,0.0013893725,0.0005414537,0.0004622725],"domain_scores_gemma":[0.8081612,0.1561314,0.009569828,0.018435096,0.00537408,0.0023283418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.027867764,0.00060046825,0.0015879998,0.0023050122,0.0008652321,0.0024893994,0.0031447206,0.0016019889,0.012018499],"category_scores_gemma":[0.1731238,0.00095002464,0.0009600701,0.0019170165,0.0034505692,0.006244457,0.002168472,0.0044211624,0.0009351488],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091908284,0.0002054004,0.111569665,0.00050512527,0.00061963534,0.0011115145,0.005510539,0.044378255,0.004120509,0.72480005,0.00857557,0.097684786],"study_design_scores_gemma":[0.00012813068,0.000298222,0.08417488,0.00021666648,0.0004517397,0.0015126566,0.0013849189,0.24284717,0.0019428073,0.66111326,0.0057879807,0.00014155192],"about_ca_topic_score_codex":0.0021395423,"about_ca_topic_score_gemma":0.0017266768,"teacher_disagreement_score":0.027867764,"about_ca_system_score_codex":0.0008143119,"about_ca_system_score_gemma":0.0007946274,"threshold_uncertainty_score":0.14738059},"labels":[],"label_agreement":null},{"id":"W3195465850","doi":"10.1016/j.jtbi.2021.110878","title":"Sterile males and females can synergistically suppress wild pests targeted by sterile insect technique","year":2021,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Insect behavior and control techniques","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sterile insect technique; Courtship; Biology; Mating; PEST analysis; Insect; Zoology; Pheromone; Mating system; Sex pheromone; Ecology; Botany","score_opus":0.013074760140592775,"score_gpt":0.2400404216486407,"score_spread":0.22696566150804792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195465850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897446,0.0007281494,0.0050538643,0.0001197922,0.00003828117,0.000045685927,0.00006598227,0.00014273552,0.004060993],"genre_scores_gemma":[0.99348575,0.00034635366,0.0035042437,0.00007038266,0.000025197633,0.00004423491,0.00006918722,0.00001999677,0.0024346272],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99960095,0.00010528708,0.000020101157,0.00007431888,0.0001265571,0.00007277919],"domain_scores_gemma":[0.9995528,0.000116414594,0.00015634148,0.000045108736,0.000018814218,0.00011055221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002482455,0.00054048584,0.00034383012,0.00062142394,0.00015916591,0.00032538187,0.0004674011,0.00036331997,0.00216542],"category_scores_gemma":[0.00036110758,0.00028403255,0.00039848327,0.00013701558,0.0003401823,0.0002801912,0.0005631346,0.00057251466,0.00033652663],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000379032,0.00008981544,0.000977864,0.000034922323,0.00002105187,0.000090596215,0.000022982502,0.00012931203,0.9941684,0.00029145833,0.000062183084,0.0037322969],"study_design_scores_gemma":[0.0001798018,0.007326419,0.025816493,0.00003080673,0.00030388337,0.002368403,0.00018159953,0.0052642566,0.9530026,0.00064317754,0.0048477235,0.000034756686],"about_ca_topic_score_codex":0.00016133029,"about_ca_topic_score_gemma":0.0004507008,"teacher_disagreement_score":0.00216542,"about_ca_system_score_codex":0.00013326616,"about_ca_system_score_gemma":0.00017344688,"threshold_uncertainty_score":0.007243991},"labels":[],"label_agreement":null},{"id":"W3195859164","doi":"10.1016/j.jtbi.2021.110881","title":"Network structural metrics as early warning signals of widespread vaccine refusal in social-epidemiological networks","year":2021,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Warning system; Preparedness; Construct (python library); Complex network; Population; Disease; Early warning system; Computer science; Psychology; Environmental health; Medicine; Political science; Telecommunications; Pathology","score_opus":0.015434233077373802,"score_gpt":0.32381646570829176,"score_spread":0.30838223263091796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195859164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95732576,0.0005496166,0.03647092,0.0016575061,0.000053111915,0.000041906776,0.00076327636,0.00011739918,0.0030206065],"genre_scores_gemma":[0.9980908,0.00006832217,0.0014450577,0.000035444944,0.000027789605,0.0000109277025,0.00012845863,0.0000048023708,0.00018833243],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993864,0.00028267014,0.000036938625,0.0001311523,0.00009048381,0.00007239671],"domain_scores_gemma":[0.9446989,0.044350147,0.007059651,0.0010124671,0.0017570205,0.0011217769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030120038,0.000291144,0.00048623292,0.002425798,0.0003844187,0.0014249058,0.0006523883,0.001218541,0.002078819],"category_scores_gemma":[0.045975115,0.00032129133,0.00024969442,0.0011716618,0.0008372324,0.003175187,0.00076851406,0.0010462682,0.00019193464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014207183,0.0002695643,0.5974669,0.0005663849,0.000615582,0.0006810526,0.0019073889,0.15636571,0.008536085,0.13890038,0.0073008407,0.08596952],"study_design_scores_gemma":[0.000082244165,0.00032234704,0.15287356,0.00012429719,0.00021176254,0.00040243877,0.0007554339,0.68748987,0.0023150628,0.1530489,0.0022881583,0.00008588239],"about_ca_topic_score_codex":0.001460902,"about_ca_topic_score_gemma":0.0016727652,"teacher_disagreement_score":0.0030120038,"about_ca_system_score_codex":0.00067931245,"about_ca_system_score_gemma":0.000279327,"threshold_uncertainty_score":0.015929163},"labels":[],"label_agreement":null},{"id":"W3201057134","doi":"10.1016/j.jtbi.2021.110898","title":"Mathematical modeling of the eyespots in butterfly wings","year":2021,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Neurobiology and Insect Physiology Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"National Taiwan University; Natural Sciences and Engineering Research Council of Canada; Ministry of Science and Technology, Taiwan; University of Manitoba","keywords":"Eyespot; Biology; Aposematism; Butterfly; Wing; Batesian mimicry; Evolutionary biology; Nymphalidae; Mimicry; engrailed; Insect; Heliconius; Biological system; Zoology; Gene; Ecology; Genetics; Predator; Gene expression; Predation; Homeobox; Physics","score_opus":0.030301951211841368,"score_gpt":0.31880357707824203,"score_spread":0.28850162586640066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201057134","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39338025,0.0023724209,0.5366644,0.003874328,0.00024122423,0.00008658807,0.00048538102,0.0002642741,0.06263114],"genre_scores_gemma":[0.9749647,0.0005158981,0.011007563,0.0001415562,0.00006048371,0.000059324713,0.00009479094,0.00007995386,0.013075733],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998559,0.000055703393,0.000007523939,0.000023266624,0.000028315466,0.000029252324],"domain_scores_gemma":[0.99920446,0.00044997115,0.00009984317,0.000039045604,0.000101678015,0.00010495806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063176075,0.00054196175,0.0007135359,0.0006826626,0.00062621833,0.0015422815,0.0015165082,0.0022322861,0.0032369355],"category_scores_gemma":[0.0027698972,0.00073753187,0.0010144917,0.00045013853,0.0014112567,0.0016434416,0.0010336674,0.0012031982,0.00029488403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023544866,0.000026308664,0.000753523,0.0000366564,0.000021968906,0.00012591493,0.00007291172,0.87306786,0.0012122876,0.122661345,0.0006967035,0.0013009794],"study_design_scores_gemma":[0.000005303201,0.0000036531396,0.00013122776,0.000003633193,0.0000028567508,0.000013856256,0.000012589127,0.98972553,0.00004227345,0.009908927,0.00014526032,0.0000048533325],"about_ca_topic_score_codex":0.012291382,"about_ca_topic_score_gemma":0.0073178583,"teacher_disagreement_score":0.012291382,"about_ca_system_score_codex":0.0011527191,"about_ca_system_score_gemma":0.00089047407,"threshold_uncertainty_score":0.024439633},"labels":[],"label_agreement":null},{"id":"W3202890129","doi":"10.1016/j.jtbi.2021.110924","title":"Peripheral structures in unlabelled trees and the accumulation of subgenomes in the evolution of polyploids","year":2021,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Polyploid; Biology; Genome; Ploidy; Evolutionary biology; Lineage (genetic); Gene; Genetics","score_opus":0.016612384006412004,"score_gpt":0.2666468835828223,"score_spread":0.2500344995764103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202890129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.965243,0.00015051357,0.032428782,0.000078841396,0.00001306126,0.000016826116,0.00014364214,0.000098433025,0.0018268959],"genre_scores_gemma":[0.9897377,0.000038579597,0.009666028,0.000031861713,0.000011103806,0.000011534398,0.00020780726,0.000029267383,0.00026607895],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99898475,0.00028433243,0.00006889395,0.0003681401,0.00020846474,0.000085278836],"domain_scores_gemma":[0.986662,0.007335098,0.002729096,0.0009876819,0.0011519503,0.0011341326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026712003,0.00018147242,0.00033911163,0.0016353326,0.0010018293,0.0015141361,0.00081705017,0.0009067652,0.0024223975],"category_scores_gemma":[0.01100909,0.00028740815,0.0004211959,0.0010416906,0.0029163295,0.002040905,0.0010893486,0.0009796568,0.00032663098],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004271352,0.00026377194,0.40550923,0.0005336395,0.00028631548,0.0013894909,0.005483149,0.041783348,0.35298052,0.10089991,0.0006552455,0.08594402],"study_design_scores_gemma":[0.00012367123,0.0013560308,0.5571887,0.00010832867,0.00021100475,0.0019560112,0.0028361063,0.19399235,0.043556254,0.19318466,0.00526747,0.00021947929],"about_ca_topic_score_codex":0.0008551784,"about_ca_topic_score_gemma":0.0013095757,"teacher_disagreement_score":0.0026712003,"about_ca_system_score_codex":0.00061904045,"about_ca_system_score_gemma":0.00031805775,"threshold_uncertainty_score":0.014126837},"labels":[],"label_agreement":null},{"id":"W3211630613","doi":"10.1016/j.jtbi.2021.110958","title":"Memory-guided foraging and landscape design interact to determine ecosystem services","year":2021,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pollination; Ecosystem services; Foraging; Crop; Context (archaeology); Biology; Ecology; Ecosystem; Pollen","score_opus":0.036330908077659325,"score_gpt":0.24710001114532978,"score_spread":0.21076910306767047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211630613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967315,0.000046206664,0.0020918413,0.000031963074,0.0000023272078,0.000002866973,0.000022259392,0.000013580199,0.0010574047],"genre_scores_gemma":[0.99875295,0.000014792759,0.00094715477,0.000012249976,0.0000013192806,0.0000022838815,0.000019681243,0.000009299625,0.00024028898],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998845,0.000026050526,0.0000061603814,0.00003061013,0.000017994456,0.00003459118],"domain_scores_gemma":[0.9988471,0.00046140296,0.00029689362,0.00012857387,0.00009944139,0.00016664708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003208227,0.00022402727,0.0002986003,0.00050811924,0.00022467907,0.0014994522,0.00050350087,0.00060972525,0.0024700956],"category_scores_gemma":[0.0025719088,0.0002511614,0.00025158154,0.00034517504,0.0004596708,0.00080204615,0.0005357348,0.00028413057,0.00022083765],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011744779,0.0005033477,0.72945344,0.00025383517,0.0007491306,0.00062134466,0.000896206,0.034815624,0.13860907,0.0064965137,0.00094870414,0.08547838],"study_design_scores_gemma":[0.000051515017,0.00029162737,0.9145929,0.000019068793,0.00014070758,0.0003408759,0.00071289035,0.064919315,0.005876213,0.012563916,0.00044489626,0.000046023622],"about_ca_topic_score_codex":0.0024169588,"about_ca_topic_score_gemma":0.008090236,"teacher_disagreement_score":0.0024700956,"about_ca_system_score_codex":0.00042964483,"about_ca_system_score_gemma":0.00034102917,"threshold_uncertainty_score":0.0082633495},"labels":[],"label_agreement":null},{"id":"W3217723620","doi":"10.1016/j.jtbi.2021.110965","title":"Comment on the article “Spatially-extended nucleation-aggregation-fragmentation models for the dynamics of prion-like neurodegenerative protein-spreading in the brain and its connectome 486 (2020) 110102”","year":2021,"lang":"en","type":"letter","venue":"Journal of Theoretical Biology","topic":"Prion Diseases and Protein Misfolding","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Fragmentation (computing); Connectome; Statistical physics; Nucleation; Neuroscience; Computer science; Physics; Mathematics; Biology; Ecology; Functional connectivity","score_opus":0.013562748155714701,"score_gpt":0.26740294281795673,"score_spread":0.25384019466224206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217723620","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000600778,0.00083753426,0.00023925332,0.9548761,0.041764136,0.000023066781,0.0001348449,0.00005610937,0.0014681204],"genre_scores_gemma":[0.0022536824,0.000366341,0.00012853109,0.9680623,0.026005961,0.000047956928,0.000028390165,0.000022399476,0.0030844433],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99596345,0.00077605137,0.00056481146,0.00087879493,0.001152793,0.0006640854],"domain_scores_gemma":[0.98776996,0.008245998,0.00082419836,0.0003546977,0.001601397,0.0012036972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006308129,0.0017784034,0.002383076,0.0011537804,0.005402512,0.0044153146,0.004424438,0.08954465,0.0051881964],"category_scores_gemma":[0.03239929,0.0016519001,0.0026470541,0.0009612756,0.0045423456,0.0038621416,0.0017420771,0.058922388,0.0054399795],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029311745,0.0000686608,0.00046621216,0.000081553975,0.00005509862,0.0016429743,0.0001794091,0.00020036721,0.00030461638,0.003925187,0.98914194,0.003640882],"study_design_scores_gemma":[0.0006642989,0.0003199097,0.0043166694,0.0005100064,0.0002773375,0.0014642834,0.0005802421,0.0037684122,0.0020227984,0.03734879,0.94832253,0.00040465783],"about_ca_topic_score_codex":0.011232464,"about_ca_topic_score_gemma":0.014965372,"teacher_disagreement_score":0.08954465,"about_ca_system_score_codex":0.005477269,"about_ca_system_score_gemma":0.0038199753,"threshold_uncertainty_score":0.039740503},"labels":[],"label_agreement":null},{"id":"W4206908084","doi":"10.1016/j.jtbi.2021.110996","title":"Insights into the dynamics of ligand-induced dimerisation via mathematical modelling and analysis","year":2022,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of the West of England; Swansea University; Engineering and Physical Sciences Research Council; York University","keywords":"Cooperativity; Ligand (biochemistry); VEGF receptors; Receptor; Biophysics; Cooperative binding; Ordinary differential equation; Chemistry; Computer science; Biological system; Computational biology; Differential equation; Statistical physics; Binding site; Biology; Mathematics; Physics; Biochemistry; Cancer research","score_opus":0.019694077714400727,"score_gpt":0.2843311879011796,"score_spread":0.2646371101867789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206908084","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.113251075,0.0023388185,0.8550337,0.0021358721,0.00016944799,0.00009336564,0.00023883968,0.00025908646,0.02647985],"genre_scores_gemma":[0.8960093,0.0026751973,0.0803067,0.00038056445,0.00015206856,0.00037654885,0.0002690673,0.00023267163,0.019597802],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997584,0.00010680988,0.000011620864,0.000029218025,0.000056484238,0.00003741314],"domain_scores_gemma":[0.9992822,0.0004082714,0.00013915768,0.000044256343,0.00008013178,0.000046054134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067310064,0.0007686093,0.00081596756,0.0007402527,0.00058291474,0.001104546,0.0009177029,0.00154952,0.002467079],"category_scores_gemma":[0.0020932576,0.00038217404,0.0012582486,0.00045390488,0.0011425937,0.0012644135,0.0009187383,0.0011387293,0.00040923475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014197731,0.000039019025,0.00041272186,0.000053276308,0.000019310643,0.0000857874,0.000105963605,0.9188728,0.004285044,0.07346063,0.00044733295,0.0022039255],"study_design_scores_gemma":[0.0000022605318,0.000004417915,0.000062861545,0.0000032652426,0.0000022230101,0.000010011043,0.000007207266,0.99289095,0.00015084087,0.0064552836,0.00040701492,0.0000037548891],"about_ca_topic_score_codex":0.0053112553,"about_ca_topic_score_gemma":0.002179125,"teacher_disagreement_score":0.0053112553,"about_ca_system_score_codex":0.0010843447,"about_ca_system_score_gemma":0.00083268306,"threshold_uncertainty_score":0.010560691},"labels":[],"label_agreement":null},{"id":"W4213211615","doi":"10.1016/j.jtbi.2022.111058","title":"A two-layer continuously distributed capillary O2 transport model applied to blood flow regulation in resting skeletal muscle","year":2022,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microcirculation; Oxygen transport; Skeletal muscle; Blood flow; Capillary action; Chemistry; Biophysics; Biomedical engineering; Anatomy; Mechanics; Materials science; Biology; Oxygen; Internal medicine; Medicine; Physics","score_opus":0.011006140661730317,"score_gpt":0.2732651323344615,"score_spread":0.26225899167273115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213211615","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21974997,0.0021676505,0.75860745,0.00180917,0.00040111653,0.00014719357,0.00046449993,0.00038453093,0.016268475],"genre_scores_gemma":[0.96438485,0.00084162026,0.018428164,0.00021562426,0.00011858085,0.00020455118,0.00017387487,0.000081062004,0.015551724],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974674,0.00007783926,0.000012989699,0.000088107074,0.000036173697,0.00003804074],"domain_scores_gemma":[0.99955326,0.00020736814,0.000047661073,0.000025390476,0.00011545122,0.00005080951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005704861,0.0011221841,0.0012349708,0.00054846617,0.00063408795,0.0013047147,0.0021005883,0.003747437,0.0018479747],"category_scores_gemma":[0.0012893289,0.0007055834,0.0011460263,0.00053086283,0.0012415674,0.0016109585,0.0012599889,0.0010482675,0.00027015674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008326868,0.000080370955,0.0005457936,0.00008892845,0.000042908643,0.00029053562,0.000087542554,0.9727542,0.007672812,0.015433689,0.00046485412,0.0024551707],"study_design_scores_gemma":[0.000006692035,0.000008612819,0.000064780106,0.0000020706811,0.0000055904234,0.0000069408397,0.000004500629,0.99923384,0.000106907064,0.0004908499,0.00006470268,0.00000459761],"about_ca_topic_score_codex":0.016377157,"about_ca_topic_score_gemma":0.0058692517,"teacher_disagreement_score":0.016377157,"about_ca_system_score_codex":0.0010680112,"about_ca_system_score_gemma":0.0011461737,"threshold_uncertainty_score":0.032563627},"labels":[],"label_agreement":null},{"id":"W4214542089","doi":"10.1016/j.jtbi.2022.111074","title":"Modelling female physiology from head to Toe: Impact of sex hormones, menstrual cycle, and pregnancy","year":2022,"lang":"en","type":"review","venue":"Journal of Theoretical Biology","topic":"Stress Responses and Cortisol","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Menstrual cycle; Pregnancy; Physiology; Reproductive physiology; Hormone; Medicine; Biology; Endocrinology","score_opus":0.07643297421156388,"score_gpt":0.38101093248849166,"score_spread":0.3045779582769278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214542089","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018888166,0.9767467,0.016802609,0.0008503003,0.00043481452,0.000010668263,0.00011835112,0.000050920098,0.0030967908],"genre_scores_gemma":[0.01518898,0.9770621,0.0051727872,0.0002411899,0.0005312753,0.00003199823,0.00011926907,0.000026307773,0.0016259234],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988425,0.000037602145,0.000010283797,0.000026315174,0.000032520227,0.000008982983],"domain_scores_gemma":[0.9996099,0.00027859694,0.000028063889,0.000012860158,0.000053514945,0.000017019953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005612714,0.0015295976,0.0018059674,0.00071067305,0.0001630895,0.0009520747,0.002042201,0.0015687825,0.0026420448],"category_scores_gemma":[0.0010255978,0.00039840426,0.0007517507,0.00095540547,0.0006275504,0.00090345804,0.00071055524,0.0011965773,0.001056337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015852622,0.00010662737,0.0013261396,0.017435204,0.0005759446,0.0003783367,0.00018406558,0.13645555,0.0060708867,0.04848409,0.01808691,0.77073777],"study_design_scores_gemma":[0.00006607127,0.0003115471,0.006771172,0.00861925,0.0011040064,0.0015476494,0.00030158565,0.10980956,0.003487211,0.15907028,0.7087082,0.00020338499],"about_ca_topic_score_codex":0.0045195436,"about_ca_topic_score_gemma":0.0042389375,"teacher_disagreement_score":0.0045195436,"about_ca_system_score_codex":0.000663134,"about_ca_system_score_gemma":0.00094905205,"threshold_uncertainty_score":0.008986473},"labels":[],"label_agreement":null},{"id":"W4221046503","doi":"10.1016/j.jtbi.2022.111088","title":"Stochasticity-induced persistence in coupled social-ecological systems","year":2022,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Guelph","funders":"","keywords":"Extinction (optical mineralogy); Population; Stochastic differential equation; Ecosystem; Ecology; Persistence (discontinuity); Stochastic modelling; Environmental science; Econometrics; Statistical physics; Economics; Physics; Mathematics; Statistics; Biology; Demography; Applied mathematics","score_opus":0.01221325442046521,"score_gpt":0.24067510713707957,"score_spread":0.22846185271661437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221046503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97071975,0.00012680217,0.02631703,0.00063847454,0.000017853285,0.000009390388,0.000052731422,0.0000675814,0.002050416],"genre_scores_gemma":[0.9994104,0.0000361834,0.00030890224,0.000011478346,0.000006562745,0.0000042579827,0.000011903458,0.0000061689866,0.00020410279],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961555,0.00012083206,0.000024705809,0.00006730688,0.00006265457,0.000108983855],"domain_scores_gemma":[0.9927763,0.0044637215,0.0015363306,0.00043493923,0.00037143283,0.00041739037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012295984,0.00020187693,0.00063302106,0.00085412705,0.00075635215,0.0014409511,0.00069831085,0.00087154465,0.0013023204],"category_scores_gemma":[0.008841043,0.0003827539,0.00059887447,0.0004249502,0.0018344267,0.0016025108,0.0012031611,0.0007626634,0.000081938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019607312,0.0001907893,0.03717932,0.00018372893,0.0003174978,0.0009309299,0.00087461906,0.52839506,0.014259765,0.40587565,0.0014862122,0.010110366],"study_design_scores_gemma":[0.000032308555,0.00007255863,0.012412982,0.000011677448,0.000040156836,0.00017889615,0.00014522561,0.8142226,0.0005176623,0.17207325,0.00025733054,0.000035390796],"about_ca_topic_score_codex":0.0030603134,"about_ca_topic_score_gemma":0.0026231036,"teacher_disagreement_score":0.0030603134,"about_ca_system_score_codex":0.0010464286,"about_ca_system_score_gemma":0.0007907942,"threshold_uncertainty_score":0.0075924397},"labels":[],"label_agreement":null},{"id":"W4225015647","doi":"10.1016/j.jtbi.2022.111135","title":"Spreading speed of chronic wasting disease across deer groups with overlapping home ranges","year":2022,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Prion Diseases and Protein Misfolding","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Biological dispersal; Chronic wasting disease; Home range; Range (aeronautics); Ecology; Host (biology); Transmission (telecommunications); Biology; Demography; Geography; Disease; Habitat; Computer science; Population; Medicine; Telecommunications","score_opus":0.00651385694893846,"score_gpt":0.25984935761070466,"score_spread":0.2533355006617662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225015647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99948287,0.000027277496,0.00032292877,0.000013318659,7.1314156e-7,0.0000017920923,0.000025975329,0.0000027330004,0.00012237583],"genre_scores_gemma":[0.9996855,0.000014470643,0.00018336104,0.0000030220199,0.0000011157773,0.0000021014048,0.00004602595,0.0000011763432,0.00006329927],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975127,0.00008281021,0.000014564969,0.0000813181,0.000025157324,0.000044895707],"domain_scores_gemma":[0.9930935,0.0049177133,0.00075427955,0.000450597,0.00047147126,0.00031257427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012345591,0.00015492667,0.0003402337,0.00116078,0.00029626058,0.0007253101,0.00045805477,0.00049310556,0.0017908256],"category_scores_gemma":[0.008543518,0.00019238904,0.0002348347,0.0005237113,0.0006373173,0.0010073575,0.000501121,0.00040547983,0.00018635135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013966416,0.00014747008,0.90821135,0.00013841859,0.00035529534,0.0003823121,0.0011951613,0.030773215,0.032597058,0.0039956146,0.00033991382,0.020467559],"study_design_scores_gemma":[0.00009247356,0.0005372606,0.8772917,0.00002373405,0.00018628333,0.0011904982,0.0016990943,0.10910466,0.0028280872,0.0067425934,0.00026019054,0.000043414668],"about_ca_topic_score_codex":0.0022136655,"about_ca_topic_score_gemma":0.0016274507,"teacher_disagreement_score":0.0022136655,"about_ca_system_score_codex":0.00038781535,"about_ca_system_score_gemma":0.000166337,"threshold_uncertainty_score":0.006529033},"labels":[],"label_agreement":null},{"id":"W4252764360","doi":"10.1016/j.jtbi.2017.02.015","title":"Darwinizing Gaia","year":2017,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Earth Systems and Cosmic Evolution","field":"Earth and Planetary Sciences","cited_by":90,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mainstream; Selection (genetic algorithm); Natural selection; Biosphere; Biology; Reproduction; Biogeochemical cycle; Evolutionary biology; Differential (mechanical device); Stability (learning theory); Ecology; Astrobiology; Computer science; Philosophy; Physics; Artificial intelligence","score_opus":0.01632098461200364,"score_gpt":0.2625978837226846,"score_spread":0.24627689911068096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252764360","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11589233,0.0009007897,0.18749696,0.0058884886,0.00094533985,0.00014376422,0.0005668243,0.0013258011,0.6868397],"genre_scores_gemma":[0.877718,0.00040367857,0.027402094,0.0015526571,0.00023165927,0.00014965894,0.00034411528,0.0005372265,0.09166087],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993962,0.00016047372,0.000022383103,0.00020613841,0.00009431208,0.000120472934],"domain_scores_gemma":[0.9986737,0.0003671249,0.00007116013,0.00044407017,0.00029982827,0.00014422018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069782557,0.00039951823,0.0005396694,0.00086184207,0.0013216712,0.0019053682,0.000844442,0.0009246124,0.015781946],"category_scores_gemma":[0.0051597306,0.00027829298,0.0008129082,0.00044906067,0.0024028071,0.0022557674,0.0025276092,0.0023530761,0.0021808508],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008777732,0.000005174029,0.00020065287,0.000014967838,0.000008526644,0.0000244331,0.00008955592,0.0005962537,0.0004294732,0.9906399,0.0020022038,0.0059800623],"study_design_scores_gemma":[0.000012153224,0.000011554494,0.0006356473,0.000014012816,0.00001336485,0.00012155097,0.0000836708,0.004122651,0.00039428266,0.9781074,0.016474226,0.0000094628285],"about_ca_topic_score_codex":0.0014432652,"about_ca_topic_score_gemma":0.0015520215,"teacher_disagreement_score":0.015781946,"about_ca_system_score_codex":0.0011692484,"about_ca_system_score_gemma":0.0011188313,"threshold_uncertainty_score":0.052795827},"labels":[],"label_agreement":null},{"id":"W4280560901","doi":"10.1016/j.jtbi.2022.111162","title":"The asymmetric Hawk-Dove game with costs measured as time lost","year":2022,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"H2020 Marie Skłodowska-Curie Actions; Horizon 2020; HORIZON EUROPE Framework Programme; Horizon 2020 Framework Programme; European Commission","keywords":"Dove; CONTEST; Pairwise comparison; Stochastic game; Mathematical economics; Evolutionarily stable strategy; Game theory; Computer science; Mathematics; Statistics; Philosophy; Political science","score_opus":0.007008043392760771,"score_gpt":0.2698855569317269,"score_spread":0.2628775135389661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280560901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.768085,0.00047757715,0.1869347,0.0036835426,0.00024927896,0.00019010935,0.00088068045,0.00011642139,0.039382726],"genre_scores_gemma":[0.991779,0.00011101508,0.0040348717,0.000074799165,0.00004104492,0.000039343082,0.00004438827,0.000013402211,0.0038620515],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99849045,0.0007272125,0.00009327665,0.0002083604,0.00024868743,0.00023196074],"domain_scores_gemma":[0.99054015,0.006403475,0.0010041635,0.0007654296,0.00040454557,0.0008822451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027321656,0.0007709251,0.0013568766,0.0006061756,0.00055742724,0.0023023228,0.0020387783,0.0020037985,0.0048934375],"category_scores_gemma":[0.0126050105,0.00041307192,0.0004915534,0.00047766214,0.0019667242,0.004098438,0.001667491,0.0016731533,0.0002701055],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012990047,0.0003258264,0.0048502292,0.000351607,0.00022081741,0.0008923468,0.00033996016,0.28534362,0.012518715,0.6688487,0.0032765504,0.021732638],"study_design_scores_gemma":[0.00024984335,0.00037146683,0.0034444053,0.00004008075,0.00009769199,0.00044138404,0.00025606315,0.57377946,0.001099499,0.41846815,0.0016433254,0.000108697226],"about_ca_topic_score_codex":0.0020858708,"about_ca_topic_score_gemma":0.001501735,"teacher_disagreement_score":0.0048934375,"about_ca_system_score_codex":0.0015238835,"about_ca_system_score_gemma":0.001255415,"threshold_uncertainty_score":0.016370237},"labels":[],"label_agreement":null},{"id":"W4280638650","doi":"10.1016/j.jtbi.2022.111160","title":"Modeling the influence of cell–cell contact and TGF-β signaling on the epithelial mesenchymal transition in MCF7 breast carcinoma cells","year":2022,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Epithelial–mesenchymal transition; Slug; Mesenchymal stem cell; Bistability; Cell biology; Cell; Cadherin; Biology; Contact inhibition; Cell adhesion; Cell migration; Chemistry; Downregulation and upregulation; Cancer research; Materials science; Genetics; Gene","score_opus":0.00963300388577089,"score_gpt":0.23744912027334383,"score_spread":0.22781611638757293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280638650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9434875,0.0009332689,0.024832236,0.0005940722,0.00009557712,0.00003941692,0.00060166646,0.000121926685,0.029294318],"genre_scores_gemma":[0.994103,0.00030255126,0.0017083,0.00005883947,0.00001260748,0.000024951052,0.00012174242,0.000021218097,0.0036467598],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985015,0.000030377654,0.0000055482597,0.000023816832,0.000033318112,0.000056656998],"domain_scores_gemma":[0.99952865,0.00029047034,0.000055552293,0.000020118536,0.00007279071,0.000032497013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002111736,0.00052776054,0.00064240507,0.00041875636,0.00042060466,0.0008441906,0.0011156953,0.0021552355,0.0029327576],"category_scores_gemma":[0.00095496187,0.00040443655,0.0006844316,0.0005366046,0.00050187414,0.0004909739,0.00039112254,0.0005793751,0.00030908445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045317858,0.000045753637,0.00085925683,0.000046370158,0.000011585997,0.00011068797,0.000030882442,0.9894454,0.0052913656,0.0030556438,0.00013921461,0.00091862667],"study_design_scores_gemma":[0.00000669942,0.000017098124,0.0002653785,0.0000028439558,0.0000067319293,0.000009990315,0.000020142095,0.9985103,0.0007111918,0.0002868969,0.000157984,0.0000046982323],"about_ca_topic_score_codex":0.04330977,"about_ca_topic_score_gemma":0.015091037,"teacher_disagreement_score":0.04330977,"about_ca_system_score_codex":0.00095443573,"about_ca_system_score_gemma":0.0011159234,"threshold_uncertainty_score":0.08611536},"labels":[],"label_agreement":null},{"id":"W4282028942","doi":"10.1016/j.jtbi.2022.111183","title":"Impact of noise on the regulation of intracellular transport of intermediate filaments","year":2022,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Microtubule and mitosis dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique; Ligue Contre le Cancer; Agence Nationale de la Recherche","keywords":"Noise (video); Molecular motor; Biological system; Physics; Statistical physics; Microtubule; Biophysics; Attractor; Intracellular transport; Stochastic process; Computer science; Intracellular; Biology; Mathematics; Cell biology; Mathematical analysis","score_opus":0.005420407216216611,"score_gpt":0.24949281563692532,"score_spread":0.2440724084207087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282028942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9679198,0.0004813316,0.021452995,0.002032845,0.0003535676,0.00001586539,0.00011115026,0.00023879418,0.0073936833],"genre_scores_gemma":[0.99924564,0.00007481034,0.00025517354,0.000038585673,0.00002151269,0.000002892292,0.000016003898,0.00002436164,0.00032093472],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996748,0.00007858188,0.000014127893,0.00005801187,0.00007529018,0.00009917456],"domain_scores_gemma":[0.99528706,0.003539743,0.00024706757,0.00020672484,0.00032248278,0.00039688518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008306156,0.0004633132,0.00068922027,0.0005284537,0.00051757926,0.0016512729,0.00066504156,0.0010007961,0.0021748305],"category_scores_gemma":[0.008122365,0.00030248967,0.00035059248,0.00018876883,0.0009726848,0.0009760053,0.0007869116,0.00091225636,0.00023977828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026762527,0.000686664,0.010383007,0.0002775546,0.00018527741,0.0015726788,0.0002990909,0.44563338,0.40914202,0.111011796,0.0018545128,0.016277738],"study_design_scores_gemma":[0.00008893854,0.00022130502,0.0076941717,0.000017441766,0.000048596132,0.00014258959,0.000099720215,0.9426576,0.017734416,0.03083456,0.00039505798,0.00006559393],"about_ca_topic_score_codex":0.0015336521,"about_ca_topic_score_gemma":0.00073485187,"teacher_disagreement_score":0.0021748305,"about_ca_system_score_codex":0.0009694748,"about_ca_system_score_gemma":0.0005743259,"threshold_uncertainty_score":0.0072755218},"labels":[],"label_agreement":null},{"id":"W4282981905","doi":"10.1016/j.jtbi.2022.111199","title":"Square root identities for harvested Beverton–Holt models","year":2022,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Department of Agriculture and Fisheries, Queensland Government; Australian Research Council","keywords":"Square root; Mathematics; Carpentaria; Rule of thumb; Overfishing; Statistics; Square (algebra); Norm (philosophy); Maximum sustainable yield; Econometrics; Fishery; Economics; Biology; Fisheries management; Fish <Actinopterygii>; Fishing; Algorithm","score_opus":0.01785372194624656,"score_gpt":0.2749775908525263,"score_spread":0.25712386890627975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282981905","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06381775,0.0016219158,0.78028727,0.0040732617,0.00053546834,0.000060794617,0.0007712424,0.000478847,0.1483535],"genre_scores_gemma":[0.7217489,0.0019978483,0.048106834,0.0010495,0.00047541133,0.0002009787,0.001374238,0.0009280187,0.22411823],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99958163,0.00015800125,0.000019706893,0.00006498572,0.00010190349,0.00007384656],"domain_scores_gemma":[0.99665785,0.0018820844,0.00028061864,0.00040569407,0.0005259575,0.0002477098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019985447,0.0007983373,0.0010813654,0.0012518282,0.0010524527,0.0024491118,0.00251189,0.0017526279,0.01726765],"category_scores_gemma":[0.011193722,0.00045353468,0.0012919614,0.0011379931,0.0015713449,0.0045166356,0.0016856889,0.003084887,0.0035486307],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001336349,0.000021102445,0.0002787023,0.000031032403,0.000015181456,0.000083756175,0.00010552521,0.02204333,0.00028960395,0.96617603,0.0061757583,0.004766593],"study_design_scores_gemma":[0.000008076062,0.000006589617,0.00024223681,0.000014469236,0.000009206456,0.000055674685,0.000042711326,0.266851,0.00017517354,0.729221,0.0033588076,0.000015059548],"about_ca_topic_score_codex":0.0058534057,"about_ca_topic_score_gemma":0.0058867726,"teacher_disagreement_score":0.01726765,"about_ca_system_score_codex":0.0015838841,"about_ca_system_score_gemma":0.0013209677,"threshold_uncertainty_score":0.05776602},"labels":[],"label_agreement":null},{"id":"W4283791987","doi":"10.1016/j.jtbi.2022.111210","title":"Estimating the basic reproduction number from noisy daily data","year":2022,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Basic reproduction number; Inference; Computer science; Estimator; Poisson distribution; Population; Relevance (law); Transmissibility (structural dynamics); Econometrics; Mathematical optimization; Statistics; Mathematics; Artificial intelligence","score_opus":0.20117324947507317,"score_gpt":0.43935308012913044,"score_spread":0.23817983065405726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283791987","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15298055,0.0007662838,0.84057593,0.0006509571,0.000054513323,0.00009847159,0.0029273285,0.00049077853,0.0014551854],"genre_scores_gemma":[0.8127091,0.0007393017,0.17901377,0.000216723,0.00011952715,0.00017914046,0.0056690257,0.000077548786,0.001275849],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983193,0.00085090514,0.00009918631,0.00036175814,0.00028464265,0.00008412504],"domain_scores_gemma":[0.992289,0.0046839765,0.0011020632,0.0012894793,0.0005276103,0.00010786726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050329533,0.00061316707,0.0009497667,0.002072769,0.00043673473,0.0010001218,0.002564442,0.0011948671,0.0007190371],"category_scores_gemma":[0.027003739,0.0006421192,0.0005870515,0.0014540124,0.0008301265,0.0016810346,0.0012398255,0.0012259621,0.0004244215],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016653417,0.00013029823,0.09749123,0.000491684,0.00025610693,0.00035861888,0.0005440747,0.72990316,0.005976575,0.03470412,0.003349691,0.1266279],"study_design_scores_gemma":[0.000016198423,0.000055173812,0.019315813,0.00006989738,0.00002997386,0.00014815803,0.00012499678,0.93834144,0.0015627557,0.037667595,0.00260002,0.00006806536],"about_ca_topic_score_codex":0.011867824,"about_ca_topic_score_gemma":0.010178306,"teacher_disagreement_score":0.011867824,"about_ca_system_score_codex":0.00092683994,"about_ca_system_score_gemma":0.001040432,"threshold_uncertainty_score":0.02661711},"labels":[],"label_agreement":null},{"id":"W4296520244","doi":"10.1016/j.jtbi.2022.111277","title":"Check your assumptions: Further scrutiny of basic model frameworks of antimicrobial resistance","year":2022,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Institute for Health and Care Research","keywords":"Stability (learning theory); Superinfection; Stochastic modelling; Competition (biology); Transmission (telecommunications); Statistical physics; Mathematical optimization; Scrutiny; Biology; Computer science; Econometrics; Mathematics; Ecology; Statistics; Physics; Genetics","score_opus":0.008593025992167274,"score_gpt":0.27127938698890613,"score_spread":0.26268636099673887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296520244","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16995023,0.0074753687,0.6481602,0.08419434,0.0011477725,0.00019100183,0.00064170756,0.00089488237,0.087344505],"genre_scores_gemma":[0.89555633,0.0038031475,0.09196079,0.003531628,0.00062051264,0.00025149618,0.00035548626,0.00043049298,0.0034902124],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.993436,0.0040935404,0.00030615184,0.00063950225,0.0012005732,0.00032426932],"domain_scores_gemma":[0.95441717,0.034766473,0.002555094,0.00525438,0.0023278843,0.0006790694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016888276,0.0007296699,0.0017032301,0.0013815206,0.0019145192,0.003934628,0.004342741,0.0031756717,0.005716581],"category_scores_gemma":[0.060336556,0.0005686534,0.0026008007,0.0009666079,0.005913628,0.009023908,0.0035456307,0.005534186,0.00051616254],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043950855,0.000038143386,0.0012882893,0.00012372229,0.000054923854,0.0001521079,0.00065447594,0.053199463,0.00035952523,0.9339942,0.0019079815,0.008183267],"study_design_scores_gemma":[0.00002547303,0.000046885776,0.0006248617,0.00017040902,0.000027209153,0.000101969985,0.00028591588,0.207776,0.00025938914,0.77891827,0.011720466,0.000043089025],"about_ca_topic_score_codex":0.005600293,"about_ca_topic_score_gemma":0.0027376541,"teacher_disagreement_score":0.016888276,"about_ca_system_score_codex":0.0034624003,"about_ca_system_score_gemma":0.0024732454,"threshold_uncertainty_score":0.08931482},"labels":[],"label_agreement":null},{"id":"W4306404826","doi":"10.1016/j.jtbi.2022.111313","title":"Dipole- and vortex sheet-based models of fish swimming","year":2022,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Biomimetic flight and propulsion mechanisms","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Science Foundation","keywords":"Computational fluid dynamics; Streamlines, streaklines, and pathlines; Vortex; Mechanics; Flow (mathematics); Wake; Fish <Actinopterygii>; Dipole; Range (aeronautics); Orientation (vector space); Marine engineering; Physics; Computer science; Geometry; Mathematics; Fishery; Aerospace engineering; Biology; Engineering","score_opus":0.008753528601571818,"score_gpt":0.21243528291227154,"score_spread":0.2036817543106997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306404826","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45120308,0.002449172,0.46243596,0.0038000906,0.00082388,0.00010486563,0.00078653544,0.0004263947,0.07797013],"genre_scores_gemma":[0.97405154,0.0006216513,0.0069999127,0.00016355157,0.00014486979,0.000068714675,0.00014645938,0.00007169838,0.017731607],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998896,0.00004417484,0.0000070931414,0.000013583259,0.000021829794,0.000023708924],"domain_scores_gemma":[0.9996488,0.00012274881,0.000044251396,0.000025870557,0.00007848337,0.00007984271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037663575,0.0005706985,0.0008858876,0.0008417315,0.00063441833,0.0012272291,0.0015742449,0.00213819,0.00284203],"category_scores_gemma":[0.001378421,0.00045834196,0.0009884406,0.0007213572,0.001315827,0.0014601668,0.0012095949,0.00081736373,0.0005233969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039233237,0.000027325346,0.00062758126,0.000027541317,0.000025350362,0.00009985012,0.000069705624,0.9377432,0.0009330214,0.057910774,0.000734211,0.0017622014],"study_design_scores_gemma":[0.000010022928,0.000006585331,0.00016112183,0.0000031608638,0.0000038028447,0.000011285189,0.000012194709,0.98884565,0.000029906358,0.010713444,0.00019689673,0.0000059219083],"about_ca_topic_score_codex":0.007800031,"about_ca_topic_score_gemma":0.0042625195,"teacher_disagreement_score":0.007800031,"about_ca_system_score_codex":0.0008273543,"about_ca_system_score_gemma":0.00069072377,"threshold_uncertainty_score":0.015509307},"labels":[],"label_agreement":null},{"id":"W4307039470","doi":"10.1016/j.jtbi.2022.111312","title":"Multi-scale model of lumen formation via inverse membrane blebbing mechanism during sprouting angiogenesis process","year":2022,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Angiogenesis; Lumen (anatomy); Mechanism (biology); Cell biology; Biology; Cancer research; Physics","score_opus":0.028919376381907388,"score_gpt":0.2897664225184018,"score_spread":0.2608470461364944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307039470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5712731,0.004333951,0.36077088,0.0039340584,0.000669999,0.00016629852,0.0005648213,0.00081922585,0.05746773],"genre_scores_gemma":[0.98093134,0.00063395797,0.004501605,0.00011524403,0.00008944291,0.000058332807,0.00007725719,0.000054435866,0.013538374],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969363,0.000067655026,0.000013594538,0.0000864492,0.000056657635,0.00008212266],"domain_scores_gemma":[0.99899,0.00025232142,0.00023541762,0.0000737593,0.00017008856,0.00027846056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005226693,0.00091740786,0.001746466,0.0012253631,0.001201176,0.0021403173,0.0032551435,0.004015303,0.00495767],"category_scores_gemma":[0.0017351146,0.0009104282,0.0014483505,0.0006443261,0.002254152,0.0030694457,0.0015723619,0.0015792564,0.00057241804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019464981,0.00019314037,0.0021073665,0.00020988774,0.00012371314,0.001211741,0.00028595421,0.7755443,0.019766713,0.19489117,0.0016393432,0.003832074],"study_design_scores_gemma":[0.00001848211,0.000022202234,0.0004023055,0.00000503528,0.000017375918,0.0000698624,0.000020509557,0.99060506,0.00031825606,0.008282467,0.00021843963,0.000020035754],"about_ca_topic_score_codex":0.007963121,"about_ca_topic_score_gemma":0.0024267756,"teacher_disagreement_score":0.007963121,"about_ca_system_score_codex":0.0016791872,"about_ca_system_score_gemma":0.0010346811,"threshold_uncertainty_score":0.016585052},"labels":[],"label_agreement":null},{"id":"W4308519457","doi":"10.1016/j.jtbi.2022.111342","title":"Deep learning characterization of brain tumours with diffusion weighted imaging","year":2022,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Michael's Hospital; University of Toronto; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Artificial intelligence; Glioblastoma; Computer science; Preprocessor; Deep learning; Machine learning; Segmentation; Pipeline (software); Medicine; Cancer research","score_opus":0.007189347744767782,"score_gpt":0.2556559705335578,"score_spread":0.24846662278879003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308519457","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38366604,0.0010927274,0.60988295,0.0014323762,0.000034928828,0.00006568621,0.00072929927,0.0004943112,0.0026017078],"genre_scores_gemma":[0.95088124,0.0004824015,0.045731373,0.00008330363,0.000036869784,0.000031375213,0.0005308322,0.00007668869,0.0021458631],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999229,0.000017590064,0.000005135224,0.000016460666,0.0000210554,0.0000168768],"domain_scores_gemma":[0.9993175,0.0003156156,0.00012452465,0.00005255897,0.00013753044,0.000052406016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045248514,0.00050362403,0.000379121,0.0010077467,0.00016299622,0.00094441837,0.0005143807,0.0006810267,0.0008157786],"category_scores_gemma":[0.0024033,0.00024670872,0.00039377392,0.00052935386,0.00035042103,0.0007977183,0.00053898135,0.000739035,0.00021957161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044810958,0.00014373455,0.016156707,0.00032356667,0.00010206594,0.00047332962,0.00019093302,0.6140628,0.09660994,0.02727726,0.003965564,0.240246],"study_design_scores_gemma":[0.0000035681564,0.000019017656,0.0013254724,0.000008996525,0.000007423291,0.00012336476,0.000015961017,0.98551035,0.0069319997,0.005601111,0.0004448363,0.00000786546],"about_ca_topic_score_codex":0.0030654008,"about_ca_topic_score_gemma":0.0026929702,"teacher_disagreement_score":0.0030654008,"about_ca_system_score_codex":0.00057519774,"about_ca_system_score_gemma":0.00050351914,"threshold_uncertainty_score":0.0060951114},"labels":[],"label_agreement":null},{"id":"W4309921720","doi":"10.1016/j.jtbi.2022.111368","title":"COVID-19 endgame: From pandemic to endemic? Vaccination, reopening and evolution in low- and high-vaccinated populations","year":2022,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Vaccination; Herd immunity; Population; Pandemic; Demography; Immunity; Transmissibility (structural dynamics); Incidence (geometry); Public health; Basic reproduction number; Medicine; Coronavirus disease 2019 (COVID-19); Immunology; Disease; Environmental health; Immune system; Internal medicine","score_opus":0.10296524762447458,"score_gpt":0.41160571066017165,"score_spread":0.3086404630356971,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309921720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97086257,0.00049786264,0.012959593,0.003833386,0.000043101565,0.000017678996,0.00016324107,0.000024778094,0.011597875],"genre_scores_gemma":[0.99721295,0.00012150026,0.0008885891,0.0001595911,0.0000137774705,0.000008988413,0.000041955063,0.0000048777806,0.001547783],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952984,0.00025659776,0.000009493507,0.00006866621,0.00002329549,0.000112042406],"domain_scores_gemma":[0.9951035,0.0032536825,0.0006174776,0.00029309644,0.00018172861,0.0005505937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002662367,0.00024555507,0.00064384146,0.00042837686,0.00075251586,0.0014563425,0.00079862075,0.0010141202,0.0092422515],"category_scores_gemma":[0.011150259,0.00018232958,0.0004261437,0.00025484286,0.001840588,0.0021704745,0.0011067536,0.0014780085,0.00026443822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010002175,0.00033273865,0.08984272,0.000281266,0.00029638194,0.0009299503,0.0029375916,0.032837614,0.0057952898,0.81668216,0.007403633,0.041660476],"study_design_scores_gemma":[0.00017913594,0.0006799632,0.07978559,0.00014420302,0.00023474352,0.0010538202,0.005043662,0.14472324,0.0011173363,0.76334536,0.0036024915,0.000090533715],"about_ca_topic_score_codex":0.0031468289,"about_ca_topic_score_gemma":0.0035104007,"teacher_disagreement_score":0.0092422515,"about_ca_system_score_codex":0.00091334747,"about_ca_system_score_gemma":0.0005670473,"threshold_uncertainty_score":0.030918479},"labels":[],"label_agreement":null},{"id":"W4310837399","doi":"10.1016/j.jtbi.2022.111379","title":"Adaptive behaviors and vaccination on curbing COVID-19 transmission: Modeling simulations in eight countries","year":2022,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Specific Research Project of Guangxi for Research Bases and Talents; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Vaccination; Preparedness; Transmission (telecommunications); Pandemic; Outbreak; Coronavirus disease 2019 (COVID-19); Intervention (counseling); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Environmental health; Computer science; Demography; Immunology; Virology; Disease; Political science; Infectious disease (medical specialty); Telecommunications","score_opus":0.15870310052775022,"score_gpt":0.4371848899332199,"score_spread":0.2784817894054697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310837399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921164,0.00015208611,0.002461458,0.0011703968,0.000032658536,0.00004470496,0.00046431643,0.000038807466,0.0035191947],"genre_scores_gemma":[0.9965491,0.0001170004,0.0011155641,0.00013246307,0.00001185233,0.000066584194,0.00025293764,0.000016035347,0.0017383512],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988759,0.0006094448,0.000028542441,0.00011770889,0.000029486047,0.00033875066],"domain_scores_gemma":[0.98804796,0.009472043,0.0007689884,0.00033852112,0.00050566165,0.0008668285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031125247,0.0009848549,0.0015248278,0.001281751,0.0012112914,0.0019197252,0.0022893439,0.004399645,0.008549103],"category_scores_gemma":[0.013477314,0.00093145843,0.0018764382,0.0010716582,0.002293026,0.0020947433,0.0017868622,0.003173013,0.0006099339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029442608,0.00028763886,0.0117470035,0.000033572298,0.00009321433,0.00015024336,0.00015853449,0.98133755,0.00011409417,0.0037083917,0.0008953556,0.0011799566],"study_design_scores_gemma":[0.000263706,0.00030447202,0.003984723,0.000028248962,0.000086171116,0.000035773537,0.0005751003,0.9912884,0.00009259723,0.002989379,0.0003169842,0.000034423585],"about_ca_topic_score_codex":0.074575685,"about_ca_topic_score_gemma":0.036086787,"teacher_disagreement_score":0.074575685,"about_ca_system_score_codex":0.002585118,"about_ca_system_score_gemma":0.002191666,"threshold_uncertainty_score":0.14828324},"labels":[],"label_agreement":null},{"id":"W4312209778","doi":"10.1016/j.jtbi.2022.111378","title":"Pandemic modelling for regions implementing an elimination strategy","year":2022,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of New Brunswick; Yukon Health and Social Services; University of Manitoba; Memorial University of Newfoundland","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Outbreak; Geography; Nova scotia; Exit strategy; Business; Medicine; Virology; Infectious disease (medical specialty); Disease; Marketing","score_opus":0.3683540665426034,"score_gpt":0.4882434935661943,"score_spread":0.1198894270235909,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312209778","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3489791,0.00134213,0.57211107,0.004830438,0.0005016018,0.00065773405,0.011287241,0.0013222443,0.058968447],"genre_scores_gemma":[0.8501805,0.000746711,0.12483002,0.00054858485,0.00017939779,0.00070504105,0.0038020588,0.00029153647,0.018716078],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935704,0.0003194939,0.00003464875,0.0001188511,0.00004807911,0.000121788675],"domain_scores_gemma":[0.9974255,0.0017268637,0.00027514278,0.00009796251,0.0003503134,0.00012418142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017660998,0.0009928581,0.00088855135,0.0008938011,0.00069019536,0.0014568578,0.0021787465,0.0023502032,0.0071174214],"category_scores_gemma":[0.004511983,0.000757246,0.0025091793,0.00084993424,0.00059911597,0.0010531272,0.0015939395,0.0017067192,0.0007598614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029871093,0.000015940686,0.002236415,0.000024533474,0.000023351029,0.00006207482,0.00007761712,0.9906256,0.00014878539,0.004574664,0.00068519975,0.001495919],"study_design_scores_gemma":[0.000011362422,0.000011308155,0.00036514088,0.000008260702,0.000008848202,0.000014144377,0.000050015016,0.99627775,0.000032556694,0.0022401274,0.00097210845,0.000008340465],"about_ca_topic_score_codex":0.08351746,"about_ca_topic_score_gemma":0.039126337,"teacher_disagreement_score":0.08351746,"about_ca_system_score_codex":0.0015035464,"about_ca_system_score_gemma":0.0018408779,"threshold_uncertainty_score":0.16606265},"labels":[],"label_agreement":null},{"id":"W4319057699","doi":"10.1016/j.jtbi.2023.111430","title":"Pillars of Biology: ‘The genetical evolution of social behaviour, I and II’","year":2023,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Western University","keywords":"Inclusive fitness; Transformative learning; Scope (computer science); Biology; Social evolution; Key (lock); Epistemology; Evolutionary biology; Sociology; Ecology; Computer science; Philosophy","score_opus":0.013176199391126641,"score_gpt":0.32124009741108245,"score_spread":0.3080638980199558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319057699","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08979281,0.1025163,0.30187172,0.33376038,0.010307439,0.00015687874,0.00085139275,0.00028478203,0.16045831],"genre_scores_gemma":[0.8932315,0.021717615,0.050375734,0.019315826,0.0056295306,0.00031985555,0.00023684767,0.0001488941,0.009024071],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9962179,0.0022509939,0.00013061534,0.0006544889,0.00056885055,0.0001771025],"domain_scores_gemma":[0.99153274,0.006083737,0.00062630523,0.000981352,0.00048764097,0.00028810988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004584854,0.00070004835,0.0011958743,0.0016600469,0.0011700172,0.0034249837,0.0016769966,0.0034112565,0.004109779],"category_scores_gemma":[0.0133849755,0.00040926208,0.00063435786,0.0019362284,0.026813563,0.007600318,0.0021169672,0.0052776877,0.0006018649],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025155945,0.000017320735,0.0009616191,0.000114775554,0.000035422225,0.00003654818,0.0005901835,0.0009407139,0.0002483937,0.9694197,0.0046852436,0.0229249],"study_design_scores_gemma":[0.000016172966,0.000025020816,0.001256289,0.000070250026,0.000011078086,0.00006771411,0.0001809709,0.0011362719,0.00015612993,0.98051983,0.016542768,0.000017507738],"about_ca_topic_score_codex":0.0021953,"about_ca_topic_score_gemma":0.0011848548,"teacher_disagreement_score":0.004584854,"about_ca_system_score_codex":0.0019196249,"about_ca_system_score_gemma":0.0017932557,"threshold_uncertainty_score":0.024247289},"labels":[],"label_agreement":null},{"id":"W4319310885","doi":"10.1016/j.jtbi.2023.111421","title":"Adaptive diversification and niche packing on rugged fitness landscapes","year":2023,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Diversification (marketing strategy); Niche; Fitness landscape; Ecological niche; Selection (genetic algorithm); Limiting; Diversity (politics); Biology; Ecology; Fitness function; Adaptive capacity; Coexistence theory; Evolutionary biology; Biological system; Computer science; Mathematical optimization; Population; Mathematics; Habitat; Climate change","score_opus":0.04505575860060657,"score_gpt":0.24099314170525477,"score_spread":0.1959373831046482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319310885","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99073887,0.00024104505,0.0073645744,0.00015666145,0.0000048073825,0.000003847399,0.000035401048,0.000018433238,0.0014363093],"genre_scores_gemma":[0.9981578,0.000087127875,0.0014497078,0.000015867301,0.0000073051738,0.0000053538793,0.000029120212,0.000008571506,0.00023922256],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99975103,0.0001090242,0.0000108596005,0.00005953286,0.000026371506,0.000043252836],"domain_scores_gemma":[0.9960723,0.002852472,0.00042264946,0.00029402153,0.00009358623,0.00026504227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006802548,0.00021521313,0.0007424757,0.0015218201,0.0006645499,0.0019744872,0.00076344504,0.001058079,0.0030843432],"category_scores_gemma":[0.0062974948,0.0004277411,0.00042461898,0.0010068163,0.0020726367,0.0021454704,0.0013355719,0.0007967212,0.0001474395],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005413853,0.00024030908,0.15637378,0.0004389686,0.00073688145,0.002289155,0.0023290422,0.39658818,0.02755706,0.34619826,0.0020180927,0.06468879],"study_design_scores_gemma":[0.0000550576,0.00012490063,0.13454407,0.000040689374,0.00009024982,0.0012255355,0.00096811325,0.44395232,0.00056788744,0.41739976,0.00096550485,0.0000658413],"about_ca_topic_score_codex":0.00065505767,"about_ca_topic_score_gemma":0.00086534047,"teacher_disagreement_score":0.0030843432,"about_ca_system_score_codex":0.0003946343,"about_ca_system_score_gemma":0.00012207072,"threshold_uncertainty_score":0.0103181},"labels":[],"label_agreement":null},{"id":"W4322724294","doi":"10.1016/j.jtbi.2023.111450","title":"Excitable dynamics in a molecularly-explicit model of cell motility: Mixed-mode oscillations and beyond","year":2023,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Dynamics (music); Motility; Mode (computer interface); Statistical physics; Biological system; Physics; Control theory (sociology); Neuroscience; Biology; Computer science; Cell biology; Artificial intelligence; Control (management); Acoustics","score_opus":0.02589899809411889,"score_gpt":0.32102980180169827,"score_spread":0.2951308037075794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322724294","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4269662,0.0016583382,0.50348043,0.0060395175,0.00050210994,0.00006172247,0.00022201103,0.00032004257,0.060749646],"genre_scores_gemma":[0.9755971,0.0005152778,0.013297759,0.0003090881,0.000116063784,0.000060797964,0.00004321018,0.00006588878,0.009994896],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998654,0.00005021332,0.0000056954054,0.00001987024,0.000032504486,0.000026266138],"domain_scores_gemma":[0.9995395,0.00021915219,0.000060088027,0.000045158413,0.000057186822,0.000078917736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004136214,0.00064699113,0.0008994516,0.0004946485,0.0006256176,0.0013988228,0.0017166164,0.0023187238,0.0024100407],"category_scores_gemma":[0.001789786,0.00050134154,0.0007086364,0.0004020636,0.0018977148,0.0028122494,0.0011732733,0.0015305993,0.00028156338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006653536,0.000078021825,0.00036495476,0.00006644526,0.000028789147,0.00018289812,0.00014711864,0.522162,0.0040908926,0.46973005,0.00080984586,0.00227244],"study_design_scores_gemma":[0.000011762161,0.0000068601075,0.000054357453,0.0000031254071,0.000003121148,0.0000093627705,0.000008774588,0.9670445,0.00006977672,0.03262684,0.00015488334,0.000006511113],"about_ca_topic_score_codex":0.004647231,"about_ca_topic_score_gemma":0.0029861787,"teacher_disagreement_score":0.004647231,"about_ca_system_score_codex":0.0007679002,"about_ca_system_score_gemma":0.0007322437,"threshold_uncertainty_score":0.009240329},"labels":[],"label_agreement":null},{"id":"W4323353295","doi":"10.1016/j.jtbi.2023.111449","title":"Multiple cohort study of hospitalized SARS-CoV-2 in-host infection dynamics: Parameter estimates, identifiability, sensitivity and the eclipse phase profile","year":2023,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; National Research Council Canada; Mount Allison University; York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Identifiability; Eclipse; Pandemic; Basic reproduction number; Epidemic model; Statistics; Coronavirus disease 2019 (COVID-19); Computer science; Population; Mathematics; Infectious disease (medical specialty); Physics; Demography; Medicine; Disease; Astrophysics","score_opus":0.08170550277410898,"score_gpt":0.42984654458852617,"score_spread":0.3481410418144172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323353295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996412,0.00007975529,0.0026744541,0.00011914619,0.000012185486,0.00001546149,0.0004846604,0.00000726051,0.00019504534],"genre_scores_gemma":[0.9987571,0.000033898712,0.00041623588,0.000018102846,0.0000063518614,0.000015431911,0.0003160915,0.0000033915187,0.00043335604],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984124,0.0008670183,0.00008298286,0.00033679386,0.000098232405,0.00020269984],"domain_scores_gemma":[0.9936639,0.002587037,0.0010723496,0.0019397698,0.00029055632,0.0004464005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005260857,0.00056179595,0.00072744116,0.00056151993,0.0005861678,0.0011226882,0.0009535476,0.0012319237,0.0027046776],"category_scores_gemma":[0.014011477,0.0006094739,0.0011363281,0.00053104985,0.00031047547,0.00080929,0.0010682767,0.0014611796,0.00026207263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032013666,0.00048186362,0.97734934,0.00003090336,0.0018316859,0.0005091751,0.0004926386,0.004802361,0.0016987718,0.002379124,0.00054103625,0.006681779],"study_design_scores_gemma":[0.00032387368,0.0015474801,0.8816046,0.000044842436,0.0013542142,0.0010241113,0.0011297404,0.10505701,0.0010563958,0.005584709,0.0011943959,0.00007854129],"about_ca_topic_score_codex":0.011181684,"about_ca_topic_score_gemma":0.0062353406,"teacher_disagreement_score":0.011181684,"about_ca_system_score_codex":0.0004580683,"about_ca_system_score_gemma":0.00065533834,"threshold_uncertainty_score":0.027822375},"labels":[],"label_agreement":null},{"id":"W4360956578","doi":"10.1016/j.jtbi.2023.111469","title":"A kin-selection model of fairness in heterogeneous populations","year":2023,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kin selection; Reciprocity (cultural anthropology); Ultimatum game; Selection (genetic algorithm); Inequity aversion; Value (mathematics); Population; Microeconomics; Strong reciprocity; Social psychology; Altruism (biology); Public goods game; Prosocial behavior; Inclusive fitness; Public good; Psychology; Economics; Game theory; Evolutionary biology; Biology; Inequality; Sociology; Computer science; Repeated game; Mathematics","score_opus":0.048284161380421214,"score_gpt":0.35971080191395066,"score_spread":0.3114266405335294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360956578","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4144784,0.0007143679,0.5048129,0.0035343107,0.00012576485,0.00017271949,0.00017822735,0.00011478648,0.07586855],"genre_scores_gemma":[0.9771195,0.0001815575,0.0119054755,0.00022622429,0.000053469466,0.00007753674,0.000027288444,0.00001151883,0.010397558],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988951,0.00063738757,0.000024774989,0.00016915395,0.00014840785,0.00012520362],"domain_scores_gemma":[0.99859816,0.00069583853,0.00023281711,0.00014094404,0.00014012396,0.00019207038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024103227,0.00036503575,0.00061564875,0.0004865097,0.0010753123,0.001591363,0.0016199797,0.0013605917,0.005121418],"category_scores_gemma":[0.004806985,0.00020846784,0.00053831877,0.00046135334,0.0020367517,0.0021738114,0.0012957965,0.0009643904,0.0006074295],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055197215,0.00006155322,0.0031469373,0.000045974262,0.000050576076,0.00037532925,0.0009528455,0.06727871,0.0017709223,0.9150368,0.0013848095,0.009840353],"study_design_scores_gemma":[0.00007491717,0.00010279991,0.0033816153,0.000023155526,0.0000409862,0.00043190946,0.0002449035,0.3312715,0.00018119162,0.6611563,0.0030494183,0.000041430714],"about_ca_topic_score_codex":0.0030283676,"about_ca_topic_score_gemma":0.001957983,"teacher_disagreement_score":0.005121418,"about_ca_system_score_codex":0.0012940248,"about_ca_system_score_gemma":0.00059930445,"threshold_uncertainty_score":0.017132819},"labels":[],"label_agreement":null},{"id":"W4362459094","doi":"10.1016/j.jtbi.2023.111480","title":"Hot-topics cross-propagation and opinion-transfer dynamics in the Chinese Sina-microblog social media: A modeling study","year":2023,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fields Institute for Research in Mathematical Sciences; York University","funders":"","keywords":"Microblogging; Social media; Computer science; Opinion leadership; Selection (genetic algorithm); Public opinion; Macro; The Internet; Social network (sociolinguistics); Data science; World Wide Web; Artificial intelligence; Political science; Public relations","score_opus":0.013312051593596231,"score_gpt":0.3274110180929832,"score_spread":0.31409896649938696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362459094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891593,0.00032111778,0.0060642306,0.00082593085,0.000040111885,0.00004445586,0.00037665048,0.00004659783,0.0031216387],"genre_scores_gemma":[0.99647945,0.00022056642,0.0005055753,0.000043882545,0.000041473646,0.000032721113,0.00019078495,0.000012920801,0.0024726721],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972945,0.000059932147,0.000009155637,0.00006845067,0.000033584183,0.00009932196],"domain_scores_gemma":[0.99786323,0.0014506157,0.0002147366,0.000063133586,0.00024863056,0.00015974969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012549489,0.0006578859,0.00070846855,0.0015880784,0.0011264376,0.0015709214,0.0014603094,0.0011980018,0.003928102],"category_scores_gemma":[0.0032329224,0.00041803683,0.0012940346,0.0014482967,0.0007095108,0.0032961862,0.0008737039,0.00091025815,0.00047476016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049635797,0.00113632,0.26654038,0.00040995918,0.00058246584,0.001982661,0.004467974,0.5996255,0.005833467,0.0759435,0.012587672,0.030393697],"study_design_scores_gemma":[0.000013871445,0.000023470307,0.012988468,0.000005874889,0.00006201822,0.000037135615,0.00019400915,0.9843795,0.00010853968,0.00185708,0.0003151636,0.000014855753],"about_ca_topic_score_codex":0.099517725,"about_ca_topic_score_gemma":0.05254591,"teacher_disagreement_score":0.099517725,"about_ca_system_score_codex":0.0021407278,"about_ca_system_score_gemma":0.001412779,"threshold_uncertainty_score":0.19787693},"labels":[],"label_agreement":null},{"id":"W4377030689","doi":"10.1016/j.jtbi.2023.111522","title":"Vaccine hesitancy promotes emergence of new SARS-CoV-2 variants","year":2023,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; National University's Basic Research Foundation of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Vaccination; Pandemic; Outbreak; Coronavirus disease 2019 (COVID-19); Biology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Transmission (telecommunications); Opposition (politics); Virology; Mutant; Vaccine efficacy; Environmental health; Disease; Genetics; Medicine; Infectious disease (medical specialty); Computer science; Political science; Gene","score_opus":0.05024411257452569,"score_gpt":0.38646133310317704,"score_spread":0.33621722052865133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377030689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895773,0.0002320401,0.0015354616,0.0011934786,0.00006587932,0.000017612028,0.00005266723,0.00002766584,0.007297951],"genre_scores_gemma":[0.99853766,0.00007837984,0.0002599898,0.00017522504,0.000023637363,0.0000064205697,0.000029627741,0.000008332624,0.00088076596],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969316,0.00009464414,0.000011312777,0.000058134112,0.000041402447,0.00010137803],"domain_scores_gemma":[0.9978916,0.0011611604,0.00036474902,0.00015278305,0.0001832519,0.0002465997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000728579,0.00019866398,0.00027058387,0.00034239888,0.000335456,0.0008793955,0.00030752574,0.0005728261,0.009262979],"category_scores_gemma":[0.0045260442,0.00012696638,0.00026520021,0.00016074617,0.0005834767,0.0006766523,0.0006891336,0.0008811472,0.0005496502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006055001,0.002512191,0.32276285,0.0005309483,0.00040451006,0.009048123,0.0033189019,0.021753075,0.29626274,0.2248518,0.011550997,0.10094882],"study_design_scores_gemma":[0.0012776718,0.007864148,0.3465223,0.00021983933,0.0005850056,0.012627039,0.009943085,0.16541082,0.119666666,0.29246902,0.043218076,0.00019629835],"about_ca_topic_score_codex":0.0005852264,"about_ca_topic_score_gemma":0.00043923958,"teacher_disagreement_score":0.009262979,"about_ca_system_score_codex":0.00041232107,"about_ca_system_score_gemma":0.00047141494,"threshold_uncertainty_score":0.03098774},"labels":[],"label_agreement":null},{"id":"W4381953003","doi":"10.1016/j.jtbi.2023.111565","title":"Are size and mitochondrial power of cells inter-determined?","year":2023,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mitochondrial Function and Pathology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Saint Vincent University; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Mount Saint Vincent University; Université Laval","keywords":"Organelle; Mitochondrion; Biology; Cell; Cell biology; ATP synthase; Cluster (spacecraft); Biochemistry; Gene","score_opus":0.009154671300308698,"score_gpt":0.2624795307988637,"score_spread":0.253324859498555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381953003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9324924,0.0045034597,0.0327891,0.0041254223,0.00045300843,0.000021971658,0.00022009462,0.00017678051,0.025217842],"genre_scores_gemma":[0.994822,0.0005393452,0.001788958,0.00023652571,0.0001871133,0.000017882296,0.000057103516,0.00003942809,0.0023116542],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995028,0.00010612693,0.000026212028,0.00013851518,0.00014369741,0.00008263881],"domain_scores_gemma":[0.9957237,0.0019234539,0.00094780064,0.00047547682,0.0004162793,0.00051323866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007414243,0.000272151,0.00069210393,0.00046817074,0.00032121965,0.0012451581,0.0014097985,0.00092383835,0.004536799],"category_scores_gemma":[0.0055937828,0.0003432838,0.00035086917,0.00037902017,0.0024593123,0.006199209,0.0011400677,0.0006704617,0.0009957398],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017862301,0.00032615202,0.10022186,0.00070672313,0.000348497,0.0013172933,0.0017213349,0.005110254,0.34770846,0.35691494,0.0032031287,0.18063512],"study_design_scores_gemma":[0.00013572571,0.0009841531,0.4329887,0.00008861724,0.00018018793,0.002746444,0.002886198,0.013614228,0.05798809,0.4765508,0.011651837,0.00018507947],"about_ca_topic_score_codex":0.0002852124,"about_ca_topic_score_gemma":0.00027315933,"teacher_disagreement_score":0.004536799,"about_ca_system_score_codex":0.00040738954,"about_ca_system_score_gemma":0.00022265124,"threshold_uncertainty_score":0.015177131},"labels":[],"label_agreement":null},{"id":"W4383216709","doi":"10.1016/j.jtbi.2023.111559","title":"Workplace absenteeism due to COVID-19 and influenza across Canada: A mathematical model","year":2023,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Sanofi (Canada); Western University; Artificial Intelligence in Medicine (Canada); York University","funders":"","keywords":"Absenteeism; Vaccination; Pandemic; Population; Environmental health; Transmission (telecommunications); Medicine; Influenza vaccine; Demography; Coronavirus disease 2019 (COVID-19); Immunology; Disease; Infectious disease (medical specialty); Psychology; Social psychology; Internal medicine; Computer science","score_opus":0.1744835872960806,"score_gpt":0.45967847212974877,"score_spread":0.28519488483366817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383216709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.901768,0.004179018,0.024610916,0.024863107,0.00027427232,0.00032804412,0.0055166245,0.00024959067,0.038210414],"genre_scores_gemma":[0.96790063,0.0016995567,0.0016504913,0.0004760762,0.000114131195,0.00010649129,0.00058609154,0.000030040199,0.027436469],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998434,0.00023019066,0.000044059416,0.00018057847,0.00015309996,0.00095809565],"domain_scores_gemma":[0.9944066,0.0024840205,0.0009926384,0.00012017765,0.00087081525,0.0011256956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00198498,0.0012046398,0.0024044549,0.0021936481,0.0039373534,0.00520025,0.0043962165,0.004267282,0.0095646195],"category_scores_gemma":[0.0070016435,0.0012031925,0.0019310032,0.0026873604,0.0029300079,0.0018730698,0.0024512783,0.003337697,0.0008086952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006031105,0.0010514726,0.12172221,0.0004368888,0.0006627357,0.002038747,0.0029161288,0.57993823,0.001417169,0.24169289,0.031560186,0.015960153],"study_design_scores_gemma":[0.00027091347,0.00017683314,0.031473715,0.0001590974,0.00048711526,0.00034961948,0.0032416985,0.92773813,0.00016379055,0.029664183,0.0060929987,0.00018190542],"about_ca_topic_score_codex":0.9597369,"about_ca_topic_score_gemma":0.93358326,"teacher_disagreement_score":0.040263116,"about_ca_system_score_codex":0.032564055,"about_ca_system_score_gemma":0.034929365,"threshold_uncertainty_score":0.23626989},"labels":[],"label_agreement":null},{"id":"W4383741261","doi":"10.1016/j.jtbi.2023.111578","title":"On the evolutionary emergence of predation","year":2023,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fondo Nacional de Desarrollo Científico y Tecnológico; Natural Sciences and Engineering Research Council of Canada; Agencia Nacional de Investigación y Desarrollo","keywords":"Predation; Biology; Ecology; Evolutionary biology","score_opus":0.007810903807653688,"score_gpt":0.2741712672535334,"score_spread":0.2663603634458797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383741261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.577596,0.006383114,0.11286746,0.055231977,0.00065040146,0.000038232683,0.00011766202,0.00008885729,0.24702634],"genre_scores_gemma":[0.99046963,0.0011969609,0.0038393154,0.00049306836,0.00026480717,0.000014210562,0.000019466315,0.000020207935,0.0036823503],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999326,0.00037526735,0.000020029562,0.0000721652,0.00010008232,0.000106547835],"domain_scores_gemma":[0.99388534,0.004830519,0.00026119864,0.0002983059,0.00042661227,0.00029793233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024056905,0.0003009969,0.00068350666,0.00078950217,0.0012667376,0.0019189013,0.0013412022,0.0018705139,0.006074363],"category_scores_gemma":[0.011969345,0.00033189062,0.0005127117,0.0004901448,0.0048560854,0.004090872,0.002067421,0.0026967942,0.00029416798],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027490814,0.000019249936,0.0013756864,0.000045881014,0.000020858575,0.0001709096,0.00022139083,0.0077393875,0.00034308623,0.9805282,0.0015080203,0.007999761],"study_design_scores_gemma":[0.000022661317,0.000012906565,0.0015094678,0.000026169726,0.000009276553,0.00017936011,0.00013391842,0.024774933,0.00008313067,0.97107804,0.002154719,0.000015545249],"about_ca_topic_score_codex":0.001518459,"about_ca_topic_score_gemma":0.0014726557,"teacher_disagreement_score":0.006074363,"about_ca_system_score_codex":0.0012975885,"about_ca_system_score_gemma":0.00048949,"threshold_uncertainty_score":0.020320773},"labels":[],"label_agreement":null},{"id":"W4385293142","doi":"10.1016/j.jtbi.2023.111583","title":"Mathematical modeling of calcium homeostasis in female rats: An analysis of sex differences and maternal adaptations","year":2023,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Vitamin D Research Studies","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Calcium; Calcium metabolism; Calcitriol; Endocrinology; Internal medicine; Homeostasis; Lactation; Vitamin D and neurology; Parathyroid hormone; Biology; Reabsorption; Bone resorption; Pregnancy; Kidney; Medicine","score_opus":0.06729231573481796,"score_gpt":0.38214126192933384,"score_spread":0.31484894619451587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385293142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6098026,0.0010668683,0.35885787,0.002362794,0.00012938668,0.0000523367,0.000407588,0.00020861308,0.02711195],"genre_scores_gemma":[0.97352874,0.00039424392,0.012672057,0.00021614645,0.000055905148,0.00008611325,0.00010722733,0.00008967137,0.012849984],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998903,0.000040394974,0.0000039722067,0.000021637095,0.000018684708,0.000024974235],"domain_scores_gemma":[0.9993394,0.00034463903,0.00012451503,0.000033774966,0.00010739129,0.000050319322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045540926,0.00048461478,0.00077235897,0.00045114136,0.0003687167,0.0006823546,0.0011924879,0.0012086827,0.0027152179],"category_scores_gemma":[0.0022942373,0.00033002842,0.00083602575,0.00034340395,0.0006149793,0.0005985296,0.0006718657,0.00069428695,0.0002263064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000564851,0.000060323815,0.0023633954,0.000040870305,0.000049770402,0.00013497977,0.000061915816,0.9520802,0.0030983621,0.038811203,0.0005286585,0.0027139338],"study_design_scores_gemma":[0.000006209849,0.000009640427,0.00055129215,0.000002877533,0.000012562317,0.00001852296,0.00001332051,0.9964,0.00010792716,0.0027142165,0.0001580433,0.0000053527447],"about_ca_topic_score_codex":0.014946735,"about_ca_topic_score_gemma":0.008209355,"teacher_disagreement_score":0.014946735,"about_ca_system_score_codex":0.00067631,"about_ca_system_score_gemma":0.0010261089,"threshold_uncertainty_score":0.029719472},"labels":[],"label_agreement":null},{"id":"W4385614455","doi":"10.1016/j.jtbi.2023.111594","title":"Epidemic dynamics with time-varying transmission risk reveal the role of disease stage-dependent infectiousness","year":2023,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transmission (telecommunications); Basic reproduction number; Spurious relationship; Statistics; Infectious disease (medical specialty); Epidemic model; Disease transmission; Econometrics; Biology; Disease; Demography; Computer science; Mathematics; Medicine; Virology; Population; Environmental health; Internal medicine","score_opus":0.03506657271606885,"score_gpt":0.3539833145578512,"score_spread":0.31891674184178237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385614455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62015325,0.0013500858,0.36715716,0.0022939455,0.00010898536,0.000063818494,0.0004760882,0.00019927188,0.008197424],"genre_scores_gemma":[0.98889285,0.0005759837,0.008303644,0.0001156008,0.000049647548,0.000024026564,0.00010676787,0.000031423748,0.001900055],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947935,0.00020930062,0.000024373985,0.00013350615,0.0000692241,0.00008419734],"domain_scores_gemma":[0.9972445,0.0015538724,0.000662134,0.00024676952,0.00016342074,0.0001292751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012733145,0.0005776767,0.00070898427,0.0006069512,0.00037732627,0.0014900245,0.0009470599,0.0013189078,0.002001475],"category_scores_gemma":[0.008336922,0.00039932292,0.0009948915,0.0004915801,0.0008081618,0.0023586112,0.001068289,0.0016533927,0.00031923465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013302581,0.00013633817,0.033365656,0.00016963256,0.00020965171,0.00076231494,0.0007474881,0.7665156,0.00856901,0.16742957,0.001841164,0.02012053],"study_design_scores_gemma":[0.000011024932,0.00004151812,0.0061230296,0.000023356548,0.00003660566,0.00020480223,0.000089052046,0.9487846,0.0003390645,0.043290805,0.0010248709,0.000031253174],"about_ca_topic_score_codex":0.0060612983,"about_ca_topic_score_gemma":0.0024442738,"teacher_disagreement_score":0.0060612983,"about_ca_system_score_codex":0.0007572161,"about_ca_system_score_gemma":0.0007279654,"threshold_uncertainty_score":0.012052},"labels":[],"label_agreement":null},{"id":"W4386002784","doi":"10.1016/j.jtbi.2023.111597","title":"Disentangling the growth curve of microbial culture","year":2023,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"thermodynamics and calorimetric analyses","field":"Chemistry","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"RIKEN; Japan Science and Technology Agency; Japan Society for the Promotion of Science","keywords":"Limiting; Bacterial growth; Dynamics (music); Growth curve (statistics); Biological system; Substrate (aquarium); Population; Biochemical engineering; Stationary phase; Biology; Ecology; Mathematics; Econometrics; Chemistry; Bacteria; Physics; Chromatography; Engineering","score_opus":0.008253653232791197,"score_gpt":0.2643041648194993,"score_spread":0.2560505115867081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386002784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5183267,0.0010734815,0.46816075,0.00058690645,0.00008296259,0.00014773666,0.00080568576,0.00079559785,0.010020125],"genre_scores_gemma":[0.9742706,0.00058709417,0.021779077,0.00008571682,0.000016485119,0.00019032005,0.0004118123,0.00012423826,0.0025346705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997242,0.000045226494,0.000015369707,0.000095030664,0.000076460215,0.000043629872],"domain_scores_gemma":[0.9991928,0.00046821256,0.00010728873,0.000087429,0.00009093241,0.000053349762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004284279,0.000898949,0.0007840205,0.00086041185,0.0003515033,0.0011640515,0.00065974286,0.0009896227,0.0009776391],"category_scores_gemma":[0.0031698216,0.00040881598,0.00081734144,0.0005261568,0.000628094,0.0015579009,0.000873235,0.0009947058,0.0003448984],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035183912,0.0002691506,0.014753882,0.0004989811,0.00007785298,0.0005134745,0.0007312582,0.7186285,0.17458072,0.04518531,0.0008144901,0.043594606],"study_design_scores_gemma":[0.0000045352367,0.000026390115,0.0010591173,0.000007272711,0.000007890208,0.00004364484,0.000024875624,0.98714906,0.0069926544,0.0040016305,0.0006647834,0.000018109296],"about_ca_topic_score_codex":0.0052001714,"about_ca_topic_score_gemma":0.0016019173,"teacher_disagreement_score":0.0052001714,"about_ca_system_score_codex":0.00091614266,"about_ca_system_score_gemma":0.00082838815,"threshold_uncertainty_score":0.010339797},"labels":[],"label_agreement":null},{"id":"W4387079127","doi":"10.1016/j.jtbi.2023.111613","title":"Inferring local molecular dynamics from the global actin network structure: A case study of 2D synthetic branching actin networks","year":2023,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; Banff International Research Station for Mathematical Innovation and Discovery; Rhodes Scholarships; National Institutes of Health; National Science Foundation","keywords":"Microscale chemistry; Computer science; Actin; Cytoskeleton; Actin remodeling; Actin cytoskeleton; Branching (polymer chemistry); Biological system; Biological network; Artificial intelligence; Biology; Computational biology; Chemistry; Cell; Cell biology; Mathematics","score_opus":0.005792047684407583,"score_gpt":0.2681551862435517,"score_spread":0.2623631385591441,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387079127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95443016,0.00021677972,0.04289668,0.00030976688,0.000007913735,0.000033611046,0.00021573615,0.00010832285,0.0017809967],"genre_scores_gemma":[0.98143345,0.00007913098,0.017782718,0.00001195603,0.000004509201,0.000013593319,0.0001544571,0.000023370427,0.0004969136],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971384,0.00012064036,0.000011558892,0.000054399017,0.00006766207,0.000031823274],"domain_scores_gemma":[0.9962204,0.0031265984,0.00018596834,0.00018930882,0.00016411913,0.00011355967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011169092,0.0004861358,0.00041002745,0.0006910112,0.0005161003,0.00076374266,0.0008395699,0.0015803372,0.00100763],"category_scores_gemma":[0.004143014,0.00045601916,0.0005623274,0.00076273934,0.0009085914,0.00091479847,0.0005534563,0.00073396164,0.000088689674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014379571,0.00014447447,0.007921106,0.00009653601,0.000037009086,0.0009788179,0.00021408421,0.9678972,0.0065081166,0.00630032,0.00030161015,0.009457052],"study_design_scores_gemma":[0.000007760499,0.0000172734,0.0009199821,0.0000025586576,0.000004769146,0.000068614325,0.00003916094,0.9961359,0.0009465956,0.0017387958,0.000114215145,0.000004345771],"about_ca_topic_score_codex":0.01065988,"about_ca_topic_score_gemma":0.011756107,"teacher_disagreement_score":0.01065988,"about_ca_system_score_codex":0.0009488021,"about_ca_system_score_gemma":0.00043315496,"threshold_uncertainty_score":0.02119565},"labels":[],"label_agreement":null},{"id":"W4387364163","doi":"10.1016/j.jtbi.2023.111632","title":"A Markov constraint to uniquely identify elementary flux mode weights in unimolecular metabolic networks","year":2023,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Markov chain; Flux (metallurgy); Metabolic network; Constraint (computer-aided design); Markov process; Steady state (chemistry); Flux balance analysis; Computer science; Applied mathematics; Mathematical optimization; State space; Mathematics; Chemistry; Statistics","score_opus":0.005138882872365179,"score_gpt":0.2700483366621716,"score_spread":0.2649094537898064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387364163","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020790901,0.00004230168,0.97788334,0.0000735197,0.000011816345,0.0000239748,0.000099856145,0.00015300146,0.0009211742],"genre_scores_gemma":[0.4377302,0.00021175596,0.5589106,0.00011827837,0.00003729639,0.00024091147,0.00057081494,0.0002415137,0.0019385834],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995276,0.00012216615,0.000029390927,0.0001264033,0.00012405236,0.00007034989],"domain_scores_gemma":[0.99782145,0.0014846884,0.00021306613,0.00016766423,0.00021249957,0.000100785546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013114111,0.00063332816,0.0006523905,0.0011793171,0.0006432919,0.0009799472,0.00089509954,0.0007534598,0.0034675521],"category_scores_gemma":[0.0074344543,0.00064357184,0.000864126,0.00095670624,0.0010334611,0.001968879,0.0011912715,0.00147007,0.0004272806],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093192735,0.00004801238,0.0023148535,0.0000820942,0.00003880682,0.0000828796,0.00010325653,0.7980342,0.0076802014,0.14465666,0.0009075875,0.045958314],"study_design_scores_gemma":[0.000004978534,0.000009523521,0.00021074733,0.000009223631,0.000004297822,0.000013964468,0.000008561198,0.94639534,0.0016813487,0.051189702,0.00046217733,0.000010106961],"about_ca_topic_score_codex":0.0045691123,"about_ca_topic_score_gemma":0.005334449,"teacher_disagreement_score":0.0045691123,"about_ca_system_score_codex":0.0011253234,"about_ca_system_score_gemma":0.0022159847,"threshold_uncertainty_score":0.011600137},"labels":[],"label_agreement":null},{"id":"W4387847195","doi":"10.1016/j.jtbi.2023.111648","title":"Lactate’s behavioral switch in the brain: An in-silico model","year":2023,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Gujarat Cancer Society; Concordia University","keywords":"Extracellular; Astrocyte; Neuroscience; In silico; Biology; Biophysics; Chemistry; Cell biology; Biochemistry; Central nervous system","score_opus":0.11256530614220425,"score_gpt":0.44011924165590904,"score_spread":0.3275539355137048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387847195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76270807,0.00055289496,0.18796603,0.003471857,0.00023302654,0.00008807679,0.0011312973,0.0004770749,0.04337163],"genre_scores_gemma":[0.98855174,0.00015134714,0.0044307206,0.00013630632,0.000025161575,0.000064077445,0.00011619337,0.000049159786,0.006475263],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990046,0.00002883032,0.000003862589,0.00002266931,0.000014217581,0.000030013889],"domain_scores_gemma":[0.9993622,0.00043163833,0.000045616445,0.000030154051,0.00007120912,0.00005911962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037038888,0.00037701524,0.00081888185,0.00034759755,0.00032651515,0.0007975686,0.0014559126,0.0019950154,0.0057278457],"category_scores_gemma":[0.0017579591,0.0004189672,0.0010276022,0.00024576753,0.0007417943,0.00078333536,0.00066137715,0.0010014991,0.00048438943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017542263,0.000088149,0.0011453837,0.00007260689,0.00003349574,0.00019988968,0.00008515492,0.974601,0.0032500965,0.017762676,0.0005715172,0.002014604],"study_design_scores_gemma":[0.000024701256,0.000022055445,0.000297511,0.0000037823643,0.000012778378,0.000020020254,0.000010930052,0.99579513,0.00020410592,0.0034746435,0.00012740772,0.0000068594877],"about_ca_topic_score_codex":0.01176321,"about_ca_topic_score_gemma":0.006061218,"teacher_disagreement_score":0.01176321,"about_ca_system_score_codex":0.0005502037,"about_ca_system_score_gemma":0.0009732382,"threshold_uncertainty_score":0.023389518},"labels":[],"label_agreement":null},{"id":"W4388785777","doi":"10.1016/j.jtbi.2023.111627","title":"Cellular communication among smooth muscle cells: The role of membrane potential via connexins","year":2023,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"stochastic dynamics and bifurcation","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Fundamental Research Funds for the Central Universities; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Gap junction; Syncytium; Biological system; Cellular communication; Ion channel; Computer science; Membrane potential; Biophysics; Biology; Neuroscience; Cell; Cell biology; Receptor; Telecommunications","score_opus":0.003462245314431659,"score_gpt":0.21564853313126953,"score_spread":0.21218628781683788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388785777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.913817,0.005723992,0.06482452,0.003555523,0.0002108081,0.000015943548,0.00009585599,0.000058539965,0.011697787],"genre_scores_gemma":[0.9971506,0.0011507359,0.0011201276,0.000042127445,0.00005091319,0.000006131965,0.000007860005,0.0000051647407,0.00046647823],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9999056,0.00004250781,0.0000046953755,0.00001541848,0.00001557766,0.000016268707],"domain_scores_gemma":[0.99933916,0.00043837875,0.000069299334,0.00004100113,0.000045506335,0.00006662469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036945505,0.0001511771,0.00030004655,0.00029208345,0.00037012275,0.00095764647,0.00024414598,0.00043183606,0.0010588897],"category_scores_gemma":[0.0013089305,0.00014438151,0.00014752374,0.00023017531,0.0007966237,0.0011962634,0.000495732,0.00034697994,0.000096833726],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044135863,0.00010625428,0.0065387865,0.00027353,0.000107483495,0.0009256471,0.00048298572,0.09137892,0.15718472,0.7118856,0.0021072354,0.028567621],"study_design_scores_gemma":[0.000097352706,0.00017576944,0.014757573,0.00006881209,0.0000928412,0.0006094353,0.00034203666,0.5414182,0.009104735,0.42846453,0.0047853496,0.000083413404],"about_ca_topic_score_codex":0.0004390945,"about_ca_topic_score_gemma":0.00033368604,"teacher_disagreement_score":0.0010588897,"about_ca_system_score_codex":0.00029392072,"about_ca_system_score_gemma":0.00026549317,"threshold_uncertainty_score":0.003542304},"labels":[],"label_agreement":null},{"id":"W4389395942","doi":"10.1016/j.jtbi.2023.111689","title":"Capturing diversity: Split systems and circular approximations for conservation","year":2023,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Set (abstract data type); Context (archaeology); Hypergraph; Graph; Mathematics; Population; Algorithm; Applied mathematics; Computer science; Statistics; Combinatorics; Biology","score_opus":0.01941802295913942,"score_gpt":0.25759575804340923,"score_spread":0.23817773508426981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389395942","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09892152,0.0008784935,0.8903248,0.0022376196,0.000100801015,0.00003601527,0.00011179192,0.0001223726,0.0072666765],"genre_scores_gemma":[0.8739502,0.00067238294,0.11724418,0.00050447026,0.00023365977,0.00015965561,0.00016837187,0.00014450008,0.0069226846],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981812,0.0011180936,0.000063901614,0.00027599538,0.00016040968,0.00020042683],"domain_scores_gemma":[0.97855663,0.017391127,0.0010692936,0.0015377223,0.0006800782,0.000765261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009055898,0.0006245581,0.0015504454,0.001569685,0.0011882654,0.0022470593,0.003045328,0.0023734006,0.006479272],"category_scores_gemma":[0.04071014,0.0010104424,0.0012252878,0.0015383644,0.0044622687,0.009329128,0.0031255512,0.0030799683,0.0003568524],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047935515,0.0000303179,0.0026781377,0.000054048534,0.000043025993,0.0000663067,0.00029809718,0.20804292,0.00021493474,0.77896875,0.0012846794,0.008270944],"study_design_scores_gemma":[0.000008531194,0.000009235556,0.00026963738,0.000012858423,0.000008884662,0.000029514345,0.00005964689,0.62246245,0.000037472055,0.37675017,0.000341151,0.000010433317],"about_ca_topic_score_codex":0.0055920403,"about_ca_topic_score_gemma":0.003594253,"teacher_disagreement_score":0.009055898,"about_ca_system_score_codex":0.002085869,"about_ca_system_score_gemma":0.0009484731,"threshold_uncertainty_score":0.04789275},"labels":[],"label_agreement":null},{"id":"W4389640422","doi":"10.1016/j.jtbi.2023.111688","title":"Separation of evolutionary timescales in coevolving species","year":2023,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pacific Institute for the Mathematical Sciences; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Environment Research Council; Sight Research UK","keywords":"Coevolution; Convergence (economics); Stability (learning theory); Trait; Computer science; Evolutionary biology; Biology; Machine learning","score_opus":0.007993772382256722,"score_gpt":0.29466152441097654,"score_spread":0.2866677520287198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389640422","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36072013,0.001391881,0.6144262,0.0014313225,0.00020213689,0.00007353079,0.00014136767,0.0003038419,0.021309532],"genre_scores_gemma":[0.9169989,0.00042204597,0.08011818,0.00011643592,0.00005269226,0.00012513343,0.00011057372,0.00011509268,0.0019409152],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99892634,0.00037853955,0.000094296876,0.00024839464,0.00023438896,0.00011800426],"domain_scores_gemma":[0.99541026,0.0024017894,0.00067107286,0.0006506786,0.00038938705,0.0004769496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030021458,0.00051241345,0.0006910961,0.0016466681,0.001106915,0.00194321,0.0011705077,0.0013165339,0.0023204486],"category_scores_gemma":[0.023016421,0.00050533947,0.0010787792,0.0006389581,0.0020363233,0.0035431231,0.003201056,0.0024231914,0.00036543372],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025529196,0.00007272116,0.010284675,0.00018815757,0.00010961389,0.00041319508,0.0013875556,0.1027731,0.018806815,0.8155842,0.0009600003,0.049164724],"study_design_scores_gemma":[0.000043481938,0.0000805433,0.0068693394,0.00005644777,0.000036310532,0.00021676985,0.00023440892,0.36566144,0.002395169,0.6208794,0.003456065,0.000070570415],"about_ca_topic_score_codex":0.0013479603,"about_ca_topic_score_gemma":0.0007553671,"teacher_disagreement_score":0.0030021458,"about_ca_system_score_codex":0.0015531207,"about_ca_system_score_gemma":0.00079690496,"threshold_uncertainty_score":0.015877068},"labels":[],"label_agreement":null},{"id":"W4389776065","doi":"10.1016/j.jtbi.2023.111704","title":"IL-27 in combination with anti-PD-1 can be anti-cancer or pro-cancer","year":2023,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Division of Mathematical Sciences; Natural Sciences and Engineering Research Council of Canada; National Cancer Institute; University of Manitoba; Ohio State University","keywords":"Cancer; Cancer immunotherapy; Melanoma; Immunotherapy; Function (biology); Immune system; Cancer research; Cancer therapy; Cancer cell; Medicine; Immunology; Internal medicine; Biology; Cell biology","score_opus":0.024630732008078773,"score_gpt":0.3368610572972207,"score_spread":0.31223032528914196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389776065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9273613,0.014317116,0.016620774,0.0022513513,0.0022386382,0.00049182493,0.0007647845,0.000519487,0.03543472],"genre_scores_gemma":[0.9840715,0.00367519,0.0042056935,0.00037188522,0.00022640516,0.00012572428,0.00032254454,0.000052568856,0.006948583],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998198,0.000042353116,0.000007959842,0.00002822168,0.00003830626,0.00006340342],"domain_scores_gemma":[0.9998827,0.000039163504,0.000019404544,0.00001488942,0.000009217029,0.00003457789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027712985,0.00052931596,0.00039821136,0.00037654833,0.00019077804,0.00041287192,0.00023708105,0.0003459344,0.0060175858],"category_scores_gemma":[0.00022028372,0.00015676815,0.0005312972,0.00018573969,0.00039849884,0.0002221474,0.00031324086,0.0013516176,0.00094160304],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008426906,0.00205916,0.00148909,0.00064905756,0.00014915652,0.00065111555,0.000047066136,0.0038102947,0.91946596,0.0033142052,0.0028894595,0.05704847],"study_design_scores_gemma":[0.0008344582,0.0072286073,0.001542091,0.000045555047,0.00019969867,0.0009629846,0.00005989595,0.0028977823,0.96069753,0.0018468561,0.023661789,0.000022710792],"about_ca_topic_score_codex":0.00017777056,"about_ca_topic_score_gemma":0.00029165216,"teacher_disagreement_score":0.0060175858,"about_ca_system_score_codex":0.00018980047,"about_ca_system_score_gemma":0.00045680485,"threshold_uncertainty_score":0.020130873},"labels":[],"label_agreement":null},{"id":"W4389954469","doi":"10.1016/j.jtbi.2023.111717","title":"The Ideal Free Distribution with travel costs","year":2023,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Horizon 2020; HORIZON EUROPE Framework Programme","keywords":"Ideal free distribution; Ideal (ethics); Distribution (mathematics); Biological dispersal; Population; Mathematics; Statistical physics; Physics; Mathematical analysis; Demography","score_opus":0.0164160559486642,"score_gpt":0.29925479430285257,"score_spread":0.2828387383541884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389954469","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.128302,0.0034115333,0.70472795,0.024787419,0.00090056064,0.00011493996,0.0011932146,0.0003216692,0.13624074],"genre_scores_gemma":[0.919649,0.0024490955,0.024316149,0.0010675649,0.0012544338,0.00014093262,0.00038581065,0.00015268137,0.050584238],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977417,0.0010493568,0.00007820779,0.00030139502,0.0004176617,0.00041154344],"domain_scores_gemma":[0.9884334,0.007548545,0.00082432653,0.0009882094,0.0011002604,0.0011051667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004134785,0.0007934856,0.0016281658,0.0023445708,0.0011391351,0.0039419024,0.0031646881,0.0028461071,0.014691756],"category_scores_gemma":[0.022935439,0.00073266984,0.001123883,0.001842299,0.0042842985,0.008949265,0.0022929725,0.003250394,0.0016362414],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004419136,0.000018154113,0.0002779018,0.000041912463,0.000013292197,0.00007177249,0.000057013665,0.012284279,0.00006037743,0.9806145,0.003510953,0.003005696],"study_design_scores_gemma":[0.000030801417,0.000013913295,0.00023706925,0.000021884302,0.000011916401,0.00018973173,0.00006955069,0.059863072,0.000038415914,0.93646413,0.0030404404,0.00001891037],"about_ca_topic_score_codex":0.003450461,"about_ca_topic_score_gemma":0.00145509,"teacher_disagreement_score":0.014691756,"about_ca_system_score_codex":0.002093659,"about_ca_system_score_gemma":0.0018458316,"threshold_uncertainty_score":0.049148858},"labels":[],"label_agreement":null},{"id":"W4390919978","doi":"10.1016/j.jtbi.2024.111733","title":"Stoichiometric microplastics models in natural and laboratory environments","year":2024,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Microplastics; Nutrient; Foraging; Environmental science; Ecosystem; Ecology; Population; Ecological stoichiometry; Biology; Nutrient cycle; Natural (archaeology)","score_opus":0.004487804490284746,"score_gpt":0.2147024472383529,"score_spread":0.21021464274806817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390919978","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37510088,0.001004169,0.5947211,0.0010998567,0.00014786187,0.00019673981,0.0008510219,0.00031436924,0.026563931],"genre_scores_gemma":[0.9630833,0.00075399084,0.023847997,0.00015544803,0.00005247595,0.00032340304,0.00024862614,0.00004880128,0.011486027],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997255,0.000086039225,0.00001747878,0.000069472655,0.00005850123,0.000042860007],"domain_scores_gemma":[0.99923515,0.0003297631,0.00025688836,0.000052622447,0.000054361975,0.000071220034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005366328,0.0010190274,0.0007200351,0.00055997825,0.00040745756,0.0008283017,0.0012615805,0.0011998826,0.0016175344],"category_scores_gemma":[0.0017894597,0.00046430112,0.0009403488,0.00029373166,0.0011381345,0.0012068248,0.0010656888,0.00066605327,0.0002481487],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006291196,0.00006421548,0.0015465174,0.00007673867,0.000048611073,0.00022904213,0.0000975787,0.9109921,0.009041699,0.07475906,0.00039926628,0.0026821645],"study_design_scores_gemma":[0.000016207738,0.000028347704,0.00038562014,0.0000037389984,0.000013906487,0.000040595256,0.000021164573,0.984641,0.0005474342,0.013722162,0.0005688114,0.0000109019065],"about_ca_topic_score_codex":0.0061142645,"about_ca_topic_score_gemma":0.0032887927,"teacher_disagreement_score":0.0061142645,"about_ca_system_score_codex":0.0009834877,"about_ca_system_score_gemma":0.00073396694,"threshold_uncertainty_score":0.012157381},"labels":[],"label_agreement":null},{"id":"W4391256382","doi":"10.1016/j.jtbi.2024.111739","title":"Oscillations of algal cell quota: Considering two-stage phosphate uptake kinetics","year":2024,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Algal bloom; Phosphate; Eutrophication; Algae; Red tide; Phytoplankton; Resource (disambiguation); Environmental science; Biological system; Nutrient; Biochemical engineering; Biology; Ecology; Computer science; Biochemistry","score_opus":0.008638505757223964,"score_gpt":0.2535858913799397,"score_spread":0.24494738562271573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391256382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7288422,0.0011771467,0.24735361,0.0036843042,0.0003465939,0.000090186426,0.00053467974,0.00031317957,0.017658135],"genre_scores_gemma":[0.98683536,0.00044795865,0.0051993933,0.00020186072,0.00009377285,0.000055463443,0.00008807094,0.000065822955,0.00701234],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998381,0.000042521973,0.000009208378,0.000042111187,0.000027401516,0.00004062365],"domain_scores_gemma":[0.99881506,0.00078488287,0.00008899169,0.00006186471,0.00013551726,0.00011382189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077332964,0.0007949326,0.001228315,0.00044535467,0.00048086874,0.001440255,0.0015919026,0.0031351517,0.0025077274],"category_scores_gemma":[0.004762119,0.0007632876,0.0015314134,0.0004953796,0.0010709735,0.0025905753,0.0012462497,0.0012644292,0.00035004143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018988516,0.00008957991,0.003372446,0.00022264555,0.00006460276,0.00093562005,0.00027478166,0.913747,0.016974915,0.05798411,0.0010447374,0.005099604],"study_design_scores_gemma":[0.000013476692,0.0000129970085,0.00033677486,0.0000032174944,0.0000112708985,0.000031011932,0.00001665766,0.9962394,0.00024025913,0.0029796832,0.00010553477,0.000009714696],"about_ca_topic_score_codex":0.00945009,"about_ca_topic_score_gemma":0.0034400944,"teacher_disagreement_score":0.00945009,"about_ca_system_score_codex":0.0012032968,"about_ca_system_score_gemma":0.000932736,"threshold_uncertainty_score":0.018790126},"labels":[],"label_agreement":null},{"id":"W4391257846","doi":"10.1016/j.jtbi.2024.111741","title":"The evolutionary dynamics of hyperparasites","year":2024,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Plant and Fungal Interactions Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Biotechnology and Biological Sciences Research Council; Gordon and Betty Moore Foundation; National Science Foundation","keywords":"Biology; Virulence; Parasite hosting; Context (archaeology); Ecology; Host (biology); Zoology; Gene; Genetics","score_opus":0.006894353026246602,"score_gpt":0.31249586726974043,"score_spread":0.30560151424349385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391257846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98424965,0.00096321007,0.0041738725,0.0008133114,0.00000926636,0.000008192802,0.00007224875,0.000018764675,0.009691431],"genre_scores_gemma":[0.997317,0.0003152717,0.0010540241,0.00006702606,0.000009348552,0.000006367831,0.000042453525,0.0000069088865,0.001181548],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99957687,0.00014363763,0.0000104665205,0.00011993971,0.00006858521,0.00008049345],"domain_scores_gemma":[0.99828136,0.00078235805,0.00027652076,0.000109572,0.00025155302,0.00029863146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011867016,0.0002415078,0.00031289877,0.0009971666,0.0008427041,0.0018807468,0.00089601806,0.0011761306,0.0068539525],"category_scores_gemma":[0.003963388,0.0002807581,0.0001857707,0.00061565137,0.0013709611,0.0019040421,0.0010565328,0.001103062,0.0006166726],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010266891,0.00027329396,0.2179445,0.0005105582,0.00040667492,0.0020401168,0.0073637953,0.03147854,0.15702291,0.3818393,0.0028555896,0.19723803],"study_design_scores_gemma":[0.00019416904,0.0007672126,0.4708029,0.00018024066,0.00030553312,0.0073304735,0.008138045,0.16041796,0.010842811,0.29094988,0.04984545,0.00022523552],"about_ca_topic_score_codex":0.0008488666,"about_ca_topic_score_gemma":0.0013954119,"teacher_disagreement_score":0.0068539525,"about_ca_system_score_codex":0.0010629719,"about_ca_system_score_gemma":0.00039399284,"threshold_uncertainty_score":0.022928715},"labels":[],"label_agreement":null},{"id":"W4392948991","doi":"10.1016/j.jtbi.2024.111792","title":"Thermal performance of ecosystems: Modeling how physiological responses to temperature scale up in communities","year":2024,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ecosystem; Interspecific competition; Ecology; Abundance (ecology); Biology; Species richness; Population; Environmental science","score_opus":0.02118386191201576,"score_gpt":0.25425071608230787,"score_spread":0.2330668541702921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392948991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83961165,0.0005197086,0.15246525,0.00086377264,0.00006150724,0.000050661303,0.00036011144,0.00016444894,0.005902745],"genre_scores_gemma":[0.9875587,0.00021784246,0.010165466,0.00006445039,0.000025975052,0.00009107572,0.00007832821,0.0000399015,0.0017582056],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979454,0.00008456676,0.000008572985,0.000058740246,0.000019885189,0.00003364494],"domain_scores_gemma":[0.9990995,0.00046686135,0.0001905363,0.00006975974,0.00006105693,0.00011224822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006273674,0.0006037367,0.00040186377,0.00044314665,0.0005419243,0.0008223268,0.000992156,0.0012351677,0.0010744839],"category_scores_gemma":[0.0030460837,0.00042492227,0.000794571,0.00046104143,0.00085937337,0.0016647603,0.0008857606,0.0006568566,0.00018857725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016546457,0.000025366142,0.0032374049,0.00001930139,0.000028477874,0.000028948578,0.000056345394,0.990195,0.0010957953,0.0035710505,0.00012328793,0.0016024061],"study_design_scores_gemma":[0.000003336739,0.000009509511,0.0007927121,0.0000028071242,0.00000668503,0.000009471595,0.000013501427,0.9950494,0.00007220472,0.0039187307,0.000117583506,0.000004081982],"about_ca_topic_score_codex":0.011368706,"about_ca_topic_score_gemma":0.00794976,"teacher_disagreement_score":0.011368706,"about_ca_system_score_codex":0.0009936705,"about_ca_system_score_gemma":0.00056921685,"threshold_uncertainty_score":0.022605062},"labels":[],"label_agreement":null},{"id":"W4394687177","doi":"10.1016/j.jtbi.2024.111824","title":"A mathematical model of competition between fiber and mucin degraders in the gut provides a possible explanation for mucus thinning","year":2024,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mucin; Mucus; Biology; Glycan; Gut flora; Saliva; Microbiology; Microbiome; Ecology; Biological system; Biochemistry; Bioinformatics; Glycoprotein","score_opus":0.023609466196278277,"score_gpt":0.31682108984987906,"score_spread":0.29321162365360076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394687177","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33294323,0.002337552,0.6275904,0.005369833,0.0002511884,0.00018399206,0.001044652,0.00031727884,0.02996181],"genre_scores_gemma":[0.9487679,0.0011696131,0.025606263,0.00047117565,0.00010994693,0.00027717577,0.00022810492,0.000055163608,0.023314597],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997733,0.00006516439,0.000010589776,0.000059078662,0.000042738302,0.000049058992],"domain_scores_gemma":[0.9991141,0.00047786717,0.00022184076,0.00003112195,0.00008702202,0.00006799552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059457455,0.0009437428,0.0008492562,0.00051296834,0.0005516181,0.0012498028,0.0013813477,0.0024311545,0.0034799068],"category_scores_gemma":[0.0019050662,0.00050430256,0.0014421873,0.00043041323,0.0010686127,0.0014949043,0.0011396811,0.0012259224,0.00042949046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073997275,0.000051285508,0.0022189384,0.00013345169,0.00003606941,0.00040091327,0.00009266249,0.93494874,0.009376775,0.050131753,0.0006652245,0.0018702084],"study_design_scores_gemma":[0.00001804299,0.00004409836,0.00052427215,0.000009079476,0.000013889775,0.00006119567,0.000023171724,0.9926885,0.0003966762,0.005557304,0.0006495626,0.000014250575],"about_ca_topic_score_codex":0.009849284,"about_ca_topic_score_gemma":0.0042569814,"teacher_disagreement_score":0.009849284,"about_ca_system_score_codex":0.0010857618,"about_ca_system_score_gemma":0.0011358199,"threshold_uncertainty_score":0.01958388},"labels":[],"label_agreement":null},{"id":"W4395686010","doi":"10.1016/j.jtbi.2024.111814","title":"A<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si33.svg\" display=\"inline\" id=\"d1e613\"><mml:mi>β</mml:mi></mml:math>-protein polymerization in Alzheimer disease: Optimal control for nucleation parameter estimation","year":2024,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Providence Health Care","keywords":"Nucleation; Polymerization; Monomer; Cascade; Amyloid (mycology); Computer science; Mathematics; Algorithm; Chemistry; Biological system; Biology; Physics; Thermodynamics","score_opus":0.01686920550239777,"score_gpt":0.2965389100304614,"score_spread":0.2796697045280636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395686010","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002402341,0.00042281745,0.54422385,0.0044601476,0.0017684357,0.00033262005,0.10776681,0.13299306,0.20562987],"genre_scores_gemma":[0.052128054,0.0013611325,0.37435883,0.0026962047,0.0010728245,0.0012520909,0.122642875,0.104988664,0.3394993],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994667,0.00009402757,0.000047791116,0.00011922971,0.00022976124,0.000042576565],"domain_scores_gemma":[0.9976184,0.00086854544,0.00013455,0.00043428474,0.000817704,0.00012647908],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008347525,0.0012452157,0.0007361654,0.0015853454,0.00068262353,0.0026641174,0.0023318978,0.0018289307,0.5647202],"category_scores_gemma":[0.0054754172,0.00080438284,0.0010207273,0.0016556407,0.00040783777,0.0024951797,0.0012744726,0.0016758698,0.30829313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014527177,0.000072659335,0.00032631055,0.00037989856,0.00002428265,0.00008796561,0.00006230478,0.0034934636,0.003924712,0.04097655,0.87335694,0.07714982],"study_design_scores_gemma":[0.00013970524,0.00003499656,0.0010737751,0.00014329074,0.000014783131,0.00019728426,0.00004427314,0.06333671,0.01672162,0.04436042,0.8738581,0.000075043725],"about_ca_topic_score_codex":0.0061690477,"about_ca_topic_score_gemma":0.006416869,"teacher_disagreement_score":0.5647202,"about_ca_system_score_codex":0.0012650195,"about_ca_system_score_gemma":0.0009798608,"threshold_uncertainty_score":0.6208738},"labels":[],"label_agreement":null},{"id":"W4398242709","doi":"10.1016/j.jtbi.2024.111852","title":"The influence of circadian rhythms on CD8 <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si70.svg\" display=\"inline\" id=\"d1e9399\"> <mml:msup> <mml:mrow/> <mml:mrow> <mml:mo>+</mml:mo> </mml:mrow> </mml:msup> </mml:math> T cell activation upon vaccination: A mathematical modeling perspective","year":2024,"lang":"lv","type":"article","venue":"Journal of Theoretical Biology","topic":"Circadian rhythm and melatonin","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Douglas Mental Health University Institute; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Circadian rhythm; Rhythm; Scalable Vector Graphics; Series (stratigraphy); Computer science; Biology; Neuroscience; World Wide Web; Medicine; Internal medicine","score_opus":0.01594119872270283,"score_gpt":0.262680773988618,"score_spread":0.24673957526591517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398242709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.528892,0.0007547566,0.444154,0.0012407902,0.000114545335,0.000052618318,0.00040013267,0.00023432645,0.024156768],"genre_scores_gemma":[0.9883482,0.0004978302,0.0068707056,0.000049063212,0.000021540709,0.00005295071,0.00005753059,0.000036051235,0.004066172],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99995875,0.000012363611,0.0000014905861,0.000010589539,0.0000069840153,0.000009660476],"domain_scores_gemma":[0.99987745,0.000058185768,0.000031537787,0.000009182773,0.000009817669,0.000013752069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018343425,0.0002327838,0.00020133851,0.00016673781,0.00019262344,0.0004999847,0.00026274938,0.00035288205,0.0015969261],"category_scores_gemma":[0.0006177909,0.00014410258,0.00041696584,0.000108833796,0.00038033476,0.0004268271,0.0003254259,0.00033017853,0.00013707882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066641216,0.000025795325,0.0021106242,0.000049111357,0.00002296672,0.00012455016,0.00006999609,0.89788884,0.025063615,0.06862985,0.00059575663,0.005352258],"study_design_scores_gemma":[0.0000064431533,0.000011406411,0.0005300664,0.0000031662798,0.0000064695064,0.00001089662,0.000008778405,0.9928231,0.0009420621,0.005263016,0.0003898854,0.0000046245136],"about_ca_topic_score_codex":0.0036308996,"about_ca_topic_score_gemma":0.002878935,"teacher_disagreement_score":0.0036308996,"about_ca_system_score_codex":0.0005250243,"about_ca_system_score_gemma":0.0004298075,"threshold_uncertainty_score":0.007219553},"labels":[],"label_agreement":null},{"id":"W4399709215","doi":"10.1016/j.jtbi.2024.111875","title":"Evaluating infectious disease outbreak potential and mitigation effectiveness on cruise ships","year":2024,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Travel-related health issues","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Toronto Metropolitan University; Response Biomedical (Canada); University of Guelph; Public Health Ontario; York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cruise; Outbreak; Crew; Population; Environmental health; Pandemic; Coronavirus disease 2019 (COVID-19); Geography; Medicine; Infectious disease (medical specialty); Aeronautics; Disease; Engineering; Virology","score_opus":0.02281959181349318,"score_gpt":0.3938641675512057,"score_spread":0.3710445757377125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399709215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869484,0.0002603036,0.007730538,0.0005256252,0.000021906208,0.00007142754,0.00042506913,0.000046023673,0.003970744],"genre_scores_gemma":[0.9976615,0.00015162707,0.0013957536,0.000027322158,0.0000057106245,0.00002980721,0.0002104734,0.000004384973,0.0005133806],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994418,0.00029923362,0.000018059507,0.00008357595,0.000045352434,0.000111865345],"domain_scores_gemma":[0.9969689,0.0021883063,0.00036615497,0.00009815477,0.00022605748,0.0001524214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016423865,0.00076202623,0.0006098967,0.00047493936,0.00029267528,0.0010977011,0.0010439865,0.0011738238,0.0022330137],"category_scores_gemma":[0.006830454,0.00030795232,0.0007753264,0.0002968569,0.0004852224,0.0013731192,0.00074050954,0.0008592059,0.00014204043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000115537725,0.00010987184,0.011326933,0.00004933508,0.00006154371,0.000071572395,0.000030912233,0.9838252,0.00043490357,0.0014714533,0.00018146429,0.0023214065],"study_design_scores_gemma":[0.00003320944,0.00052392896,0.010539218,0.000021829646,0.000071764756,0.000023584664,0.00024729615,0.98596513,0.00045067663,0.0017669305,0.00033740024,0.000019088355],"about_ca_topic_score_codex":0.037404627,"about_ca_topic_score_gemma":0.01673975,"teacher_disagreement_score":0.037404627,"about_ca_system_score_codex":0.0017894027,"about_ca_system_score_gemma":0.0016477839,"threshold_uncertainty_score":0.07437384},"labels":[],"label_agreement":null},{"id":"W4399876070","doi":"10.1016/j.jtbi.2024.111883","title":"A model of time-dependent macromolecular and elemental composition of phytoplankton","year":2024,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Mount Allison University","funders":"Natural Sciences and Engineering Research Council of Canada; United States-Israel Binational Science Foundation; Gordon and Betty Moore Foundation; Simons Foundation","keywords":"Phytoplankton; Composition (language); Biological system; Environmental science; Macromolecule; Chemistry; Biology; Oceanography; Ecology; Nutrient; Geology; Biochemistry","score_opus":0.0060222272911371185,"score_gpt":0.21365718685558524,"score_spread":0.20763495956444813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399876070","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25618777,0.0026220765,0.675537,0.0042311973,0.00035596508,0.00013155206,0.0036647865,0.0010392378,0.056230497],"genre_scores_gemma":[0.9120374,0.0016087777,0.028270967,0.00044169553,0.00015497328,0.00044112996,0.0011863017,0.00022618564,0.055632655],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977833,0.00004180928,0.000012121562,0.00009230665,0.00003839146,0.000037087946],"domain_scores_gemma":[0.99948764,0.00021725969,0.000079517784,0.0000417205,0.00008819,0.00008572851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041528727,0.0008013761,0.00083958433,0.0005981124,0.00078325294,0.0014989838,0.0024393073,0.0030048415,0.0036805612],"category_scores_gemma":[0.0012212895,0.0005655831,0.0012437055,0.0010417298,0.001046609,0.0021545906,0.00094122265,0.0011345866,0.0011098677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057835336,0.000043990454,0.0011588212,0.00013715035,0.000044608605,0.00030231703,0.00016129772,0.92166513,0.009978489,0.061566632,0.0013645664,0.0035192147],"study_design_scores_gemma":[0.000022062513,0.000020174042,0.00047751455,0.000009433775,0.00001997799,0.000072519586,0.000019043615,0.9821685,0.00036235977,0.01543156,0.0013749206,0.000021935983],"about_ca_topic_score_codex":0.010738111,"about_ca_topic_score_gemma":0.00376477,"teacher_disagreement_score":0.010738111,"about_ca_system_score_codex":0.0013735743,"about_ca_system_score_gemma":0.0010768765,"threshold_uncertainty_score":0.021351218},"labels":[],"label_agreement":null},{"id":"W4399883815","doi":"10.1016/j.jtbi.2024.111879","title":"Leading edge of the a-wave of the electroretinogram and sodium iodate-induced age-related macular degeneration: A model","year":2024,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Retinal Development and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Macular degeneration; Iodate; Ophthalmology; Enhanced Data Rates for GSM Evolution; Degeneration (medical); Medicine; Optics; Chemistry; Physics; Computer science; Iodine; Artificial intelligence","score_opus":0.01061731171934487,"score_gpt":0.25419658496540665,"score_spread":0.24357927324606177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399883815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4988041,0.0027612303,0.33728144,0.0049360106,0.0011750751,0.00021278093,0.000805235,0.00057504454,0.15344906],"genre_scores_gemma":[0.93182164,0.001469709,0.025631923,0.00029677572,0.00018949427,0.000092069495,0.00014535489,0.000088601155,0.0402644],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987876,0.000033605895,0.000005950717,0.000023538145,0.000034177454,0.000023854112],"domain_scores_gemma":[0.99974173,0.00009312264,0.00004794585,0.00003090369,0.000039954877,0.000046377252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023472906,0.00068042526,0.00058383215,0.00071001105,0.00055837,0.001025142,0.0013553597,0.002067239,0.0037575692],"category_scores_gemma":[0.00076679606,0.00031324592,0.0009847386,0.00040409068,0.00096035557,0.0014013369,0.00072381314,0.00090783514,0.0007798954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079873815,0.00043345997,0.0016787804,0.0002714279,0.00007106824,0.0025079073,0.00036064492,0.14307322,0.0732966,0.7599611,0.004499141,0.013047855],"study_design_scores_gemma":[0.00024917178,0.00032384894,0.0014482129,0.000048747024,0.00006415644,0.0011385359,0.00016102016,0.7923118,0.0043069823,0.1952124,0.004658653,0.00007650926],"about_ca_topic_score_codex":0.00213115,"about_ca_topic_score_gemma":0.0014250252,"teacher_disagreement_score":0.0037575692,"about_ca_system_score_codex":0.0004693508,"about_ca_system_score_gemma":0.0006262566,"threshold_uncertainty_score":0.012570322},"labels":[],"label_agreement":null},{"id":"W4400113436","doi":"10.1016/j.jtbi.2024.111891","title":"Evolution of cooperation in social dilemmas with assortment in finite populations","year":2024,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stochastic game; Pairwise comparison; Fixation (population genetics); Mathematical economics; Population; Neutrality; Limit (mathematics); Range (aeronautics); Selection (genetic algorithm); Microeconomics; Mathematics; Economics; Computer science; Statistics; Artificial intelligence","score_opus":0.02242933836308358,"score_gpt":0.33601852698139134,"score_spread":0.31358918861830776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400113436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8982474,0.00018943439,0.09716207,0.00036758377,0.000015476002,0.00002509752,0.00003471093,0.00007521387,0.0038829488],"genre_scores_gemma":[0.99290895,0.000084413456,0.006464827,0.000024862022,0.000007677526,0.000035287434,0.000017975919,0.000012194975,0.00044384119],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99876934,0.0006580502,0.000082439685,0.00015171383,0.00018261006,0.00015581766],"domain_scores_gemma":[0.9732285,0.021750657,0.0027607826,0.00063633727,0.00071101426,0.00091275014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034713156,0.0005113651,0.0009127789,0.001280534,0.0006630265,0.0017752158,0.00096068,0.001328283,0.0011525287],"category_scores_gemma":[0.03262464,0.00038896,0.00073582557,0.0004034377,0.0025217468,0.002180101,0.001347873,0.0009685119,0.00012919326],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020230658,0.00012533383,0.00922518,0.00011777728,0.00015510009,0.0011242991,0.00082775677,0.48663223,0.01679544,0.4773033,0.00039238133,0.007098853],"study_design_scores_gemma":[0.000044959306,0.00010442283,0.0023315842,0.000021083059,0.000027633483,0.00030940524,0.0001634633,0.7375293,0.0014201957,0.2578141,0.00019401012,0.00003980413],"about_ca_topic_score_codex":0.0011945423,"about_ca_topic_score_gemma":0.0006517951,"teacher_disagreement_score":0.0034713156,"about_ca_system_score_codex":0.001483192,"about_ca_system_score_gemma":0.0007331916,"threshold_uncertainty_score":0.01835829},"labels":[],"label_agreement":null},{"id":"W4401221829","doi":"10.1016/j.jtbi.2024.111912","title":"Erratum to “Leading edge of the a-wave of the electroretinogram and sodium iodate-induced age-related macular degeneration: A Model” [J. Theor. Biol. 592 (2024) 01–17/111879]","year":2024,"lang":"en","type":"erratum","venue":"Journal of Theoretical Biology","topic":"Retinal Development and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Iodate; Enhanced Data Rates for GSM Evolution; Macular degeneration; Ophthalmology; Physics; Medicine; Chemistry; Computer science; Artificial intelligence; Iodine","score_opus":0.010405592938467972,"score_gpt":0.2565505666068447,"score_spread":0.24614497366837676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401221829","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016574934,0.0008297891,0.00091624964,0.033618834,0.95349395,0.000028522763,0.00064972666,0.00022056318,0.010076589],"genre_scores_gemma":[0.008675688,0.0076701385,0.0070033087,0.104016565,0.32092616,0.00021414565,0.0034511392,0.0016239556,0.54641896],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984061,0.00025424655,0.00036561463,0.00021214163,0.0006493716,0.00011247754],"domain_scores_gemma":[0.9916549,0.002496985,0.00044587217,0.00050488824,0.004304578,0.0005927633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021581415,0.0027898003,0.0016158483,0.0032963995,0.0033921006,0.0025975176,0.0033392136,0.0070930826,0.07256335],"category_scores_gemma":[0.020564651,0.0013911453,0.0021195738,0.001741772,0.0016729055,0.0025527524,0.0013850875,0.0073952815,0.056135483],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049168964,0.000010017233,0.000042116644,0.000054184726,0.000006504123,0.00023461695,0.000010159418,0.00006970167,0.000060269045,0.0015454515,0.99414176,0.0037760718],"study_design_scores_gemma":[0.00007568271,0.000045770073,0.00062787975,0.00023521006,0.000038156173,0.0007075159,0.00005618573,0.0005556503,0.00038032487,0.0038842745,0.993345,0.000048459246],"about_ca_topic_score_codex":0.014985312,"about_ca_topic_score_gemma":0.025520865,"teacher_disagreement_score":0.07256335,"about_ca_system_score_codex":0.0028033548,"about_ca_system_score_gemma":0.0032965716,"threshold_uncertainty_score":0.24274862},"labels":[],"label_agreement":null},{"id":"W4402471519","doi":"10.1016/j.jtbi.2024.111943","title":"Genomic compliance with Chargaff’s second parity rule may have originated non-adaptively, but stem-loops now function adaptively","year":2024,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Queen's University","keywords":"Genome; Biology; Genetics; Intron; Exon; Gene; Base pair; Computational biology","score_opus":0.01656134901177461,"score_gpt":0.25612850704857054,"score_spread":0.23956715803679593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402471519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5723622,0.0014599778,0.3557898,0.0048102853,0.0010493696,0.00015190583,0.00037835227,0.0010980373,0.06290009],"genre_scores_gemma":[0.95754105,0.00027041373,0.0346056,0.00094470574,0.00013264641,0.00007435371,0.00017970371,0.00013501842,0.0061166394],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985469,0.00023395584,0.00014617982,0.00048609456,0.00045720223,0.0001296568],"domain_scores_gemma":[0.996172,0.0015747709,0.000518521,0.00087027263,0.00071326416,0.00015129273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001822365,0.00034620543,0.00043270076,0.00063967775,0.00090841646,0.00168922,0.0009608114,0.0013586378,0.0026160807],"category_scores_gemma":[0.0059615886,0.00028061628,0.00051171595,0.00040122427,0.004317411,0.00212763,0.001064527,0.0014525461,0.0008827359],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005741211,0.000095909025,0.04676411,0.00035260236,0.00013119403,0.0015390931,0.0013671814,0.006728668,0.11366148,0.6813428,0.003247963,0.14419487],"study_design_scores_gemma":[0.00007115171,0.0008309942,0.03200957,0.000089576104,0.00009638475,0.00451721,0.0006514628,0.022906788,0.11194419,0.77602077,0.050612055,0.00024990074],"about_ca_topic_score_codex":0.00038982343,"about_ca_topic_score_gemma":0.00047494523,"teacher_disagreement_score":0.0026160807,"about_ca_system_score_codex":0.00048532322,"about_ca_system_score_gemma":0.0006508041,"threshold_uncertainty_score":0.009637713},"labels":[],"label_agreement":null},{"id":"W4403459315","doi":"10.1016/j.jtbi.2024.111966","title":"A bulk-surface mechanobiochemical modelling approach for single cell migration in two-space dimensions","year":2024,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Canada Research Chairs; University of Sussex; British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; European Commission; Universidad Nacional de Colombia; Canada Foundation for Innovation; UK Research and Innovation","keywords":"Cell migration; Cytosol; Cell; Biological system; Cytoskeleton; Actin cytoskeleton; Cell membrane; Biophysics; Mechanics; Chemistry; Physics; Biology","score_opus":0.01293265457881551,"score_gpt":0.2713561361622002,"score_spread":0.25842348158338474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403459315","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019741355,0.00049772573,0.9721843,0.0004015654,0.000111207686,0.000045800392,0.00013101593,0.00011075871,0.0067762453],"genre_scores_gemma":[0.5578066,0.002000288,0.41527703,0.00041298632,0.00018824605,0.00072590174,0.00055997557,0.0002850365,0.022743853],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998658,0.000035518748,0.000008670953,0.000033004377,0.00004182123,0.000015184162],"domain_scores_gemma":[0.9997763,0.00010619,0.000033539345,0.000021198377,0.000042240386,0.000020595806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026540333,0.0007224697,0.00066377677,0.0004942062,0.00037786135,0.0008862701,0.0013439922,0.0020541267,0.0019855695],"category_scores_gemma":[0.00062282203,0.00041468954,0.001303258,0.00040090046,0.000846254,0.00072628196,0.00090519676,0.00089267676,0.00055379694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008677687,0.000014432464,0.00017923805,0.00005400128,0.000013774405,0.00007708447,0.00003796158,0.9655136,0.005685303,0.025100606,0.00023956834,0.0030758018],"study_design_scores_gemma":[0.0000021937133,0.0000057612847,0.000031399035,0.0000022761094,0.000002114294,0.0000129840355,0.0000040360032,0.9966583,0.0001584784,0.0024322488,0.0006868309,0.0000033717888],"about_ca_topic_score_codex":0.0046089618,"about_ca_topic_score_gemma":0.0025092305,"teacher_disagreement_score":0.0046089618,"about_ca_system_score_codex":0.0007300142,"about_ca_system_score_gemma":0.00089791836,"threshold_uncertainty_score":0.009164274},"labels":[],"label_agreement":null},{"id":"W4404734784","doi":"10.1016/j.jtbi.2024.112007","title":"A hybrid approach to study and forecast climate-sensitive norovirus infections in the USA","year":2024,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Viral gastroenteritis research and epidemiology","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Norovirus; Environmental science; Biology; Virology; Climatology; Outbreak; Geology","score_opus":0.03130522075138512,"score_gpt":0.3606816954420719,"score_spread":0.32937647469068676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404734784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8940327,0.00013573315,0.102682516,0.00025705236,0.000039676277,0.000054784126,0.0005094566,0.00024004352,0.0020479378],"genre_scores_gemma":[0.98288983,0.000049538074,0.016201347,0.000030239711,0.000016122016,0.000030805742,0.0002349157,0.000008396463,0.00053873344],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998425,0.000067278,0.000008791655,0.000041149753,0.000022403523,0.000017836486],"domain_scores_gemma":[0.99948704,0.000270264,0.00007286006,0.000036750553,0.00009837782,0.000034615012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006272999,0.00032607655,0.00035968793,0.0005609,0.00022309004,0.00055072,0.00054427393,0.0004866855,0.0005916291],"category_scores_gemma":[0.001549149,0.00027560082,0.00043710458,0.00042032532,0.00014747943,0.0004999454,0.00044826497,0.00044236396,0.00007467783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003969029,0.000059722413,0.019881554,0.000011541712,0.00007454601,0.000035882087,0.00002307373,0.96979374,0.0007108256,0.0007067176,0.00016725413,0.008495554],"study_design_scores_gemma":[0.0000021056821,0.000011322278,0.0013354882,7.852438e-7,0.0000037452883,0.0000024536073,0.000005033381,0.9983234,0.000051016304,0.00021269933,0.00004958913,0.0000022877837],"about_ca_topic_score_codex":0.020159071,"about_ca_topic_score_gemma":0.022744594,"teacher_disagreement_score":0.020159071,"about_ca_system_score_codex":0.0005251702,"about_ca_system_score_gemma":0.0005234243,"threshold_uncertainty_score":0.040083468},"labels":[],"label_agreement":null},{"id":"W4407133023","doi":"10.1016/j.jtbi.2025.112061","title":"Efficient coupling of within-and between-host infectious disease dynamics","year":2025,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pacific Institute for the Mathematical Sciences; Simon Fraser University","funders":"H2020 European Research Council; European Research Council; Natural Sciences and Engineering Research Council of Canada; Natural Environment Research Council; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Sight Research UK","keywords":"Host (biology); Dynamics (music); Infectious disease (medical specialty); Coupling (piping); Disease; Biology; Virology; Medicine; Physics; Ecology; Internal medicine; Materials science","score_opus":0.002921361432082062,"score_gpt":0.25899365910767413,"score_spread":0.2560722976755921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407133023","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08478267,0.00011973359,0.9107437,0.00021490945,0.000043978856,0.000059115995,0.00007655162,0.00022691234,0.0037323765],"genre_scores_gemma":[0.82620823,0.00026434747,0.16845758,0.0001410102,0.00004096862,0.00022708971,0.00015864684,0.00017722571,0.0043248595],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993771,0.0002320525,0.00003779067,0.00013696922,0.00015082976,0.00006536858],"domain_scores_gemma":[0.9987435,0.0006101985,0.00021459628,0.00022683205,0.00010758345,0.0000973844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010575242,0.00050351047,0.0008861988,0.0005112335,0.00052793743,0.00106056,0.0014236172,0.0012526077,0.0015773989],"category_scores_gemma":[0.0050718975,0.0005552526,0.00082791864,0.00039665838,0.00091517984,0.0018964219,0.0020819493,0.0013229708,0.00038265836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016171305,0.000039757684,0.0016357771,0.0000307136,0.000032644824,0.00008421552,0.000092538794,0.95924705,0.0042281453,0.025331933,0.00024948164,0.009011485],"study_design_scores_gemma":[0.0000025558334,0.000006251688,0.00019694916,0.0000021300339,0.000003775019,0.000015272928,0.000007099632,0.99305224,0.00029569212,0.0061371545,0.00027538388,0.000005597044],"about_ca_topic_score_codex":0.0049974215,"about_ca_topic_score_gemma":0.0028633918,"teacher_disagreement_score":0.0049974215,"about_ca_system_score_codex":0.0009573632,"about_ca_system_score_gemma":0.0014121816,"threshold_uncertainty_score":0.00993669},"labels":[],"label_agreement":null},{"id":"W4407874168","doi":"10.1016/j.jtbi.2025.112073","title":"Co-evolution of pathogen–host interactions with vertical transmission can produce bistable outcomes","year":2025,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bistability; Host (biology); Transmission (telecommunications); Pathogen; Biology; Horizontal transmission; Evolutionary biology; Ecology; Physics; Computer science; Genetics; Telecommunications; Optoelectronics; Virus","score_opus":0.0036754183188610783,"score_gpt":0.2753530575244112,"score_spread":0.2716776392055501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407874168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886008,0.00011322435,0.008986035,0.00012908239,0.000009480989,0.000010767268,0.000042819247,0.00007178229,0.0020359866],"genre_scores_gemma":[0.9990004,0.000029172406,0.0007523075,0.000027822705,0.0000020110253,0.000010691608,0.0000236577,0.000004964204,0.00014898124],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99979156,0.00005183976,0.000014343896,0.000048529862,0.00003606333,0.000057717156],"domain_scores_gemma":[0.99886924,0.0005185953,0.00030398733,0.00013001829,0.000040714658,0.00013742363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043493864,0.00035222602,0.0003505908,0.0003367232,0.00027273435,0.00066126813,0.0004009104,0.0005731938,0.0015792247],"category_scores_gemma":[0.0019217747,0.00021015464,0.0004453222,0.00018680072,0.00052271783,0.00055019924,0.0011731895,0.000665859,0.00013038766],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005971395,0.00038087196,0.08650165,0.00033291598,0.00045414522,0.0016597097,0.0004082821,0.10242562,0.7373999,0.038975835,0.00075522764,0.030108714],"study_design_scores_gemma":[0.00018217832,0.001139263,0.16112663,0.00004116714,0.0003176598,0.0016986323,0.00039717555,0.71673024,0.05530048,0.06076591,0.002117516,0.00018314792],"about_ca_topic_score_codex":0.0005337559,"about_ca_topic_score_gemma":0.0008990737,"teacher_disagreement_score":0.0015792247,"about_ca_system_score_codex":0.0004717069,"about_ca_system_score_gemma":0.00021231531,"threshold_uncertainty_score":0.0052830577},"labels":[],"label_agreement":null},{"id":"W4407895336","doi":"10.1016/j.jtbi.2025.112074","title":"PD-based ADRC using time-varying gains: An application to microalgal-based bioprocess","year":2025,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Algal biology and biofuel production","field":"Energy","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Universidad de La Sabana","keywords":"Photobioreactor; Control theory (sociology); Bioprocess; Controller (irrigation); Active disturbance rejection control; Computer science; State observer; Steady state (chemistry); Nonlinear system; Engineering; Control (management); Biology; Ecology; Biomass (ecology)","score_opus":0.01293272350167388,"score_gpt":0.30409448915906356,"score_spread":0.29116176565738966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407895336","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09414527,0.0010620238,0.89461803,0.00033473276,0.00020239198,0.000078721416,0.000035742953,0.00091190037,0.008611201],"genre_scores_gemma":[0.94091487,0.00023156514,0.0566644,0.000055258948,0.000027155515,0.00002312686,0.000014461824,0.000016687927,0.0020524778],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999724,0.00007672432,0.0000139440635,0.00006387915,0.00008790331,0.00003352464],"domain_scores_gemma":[0.9995695,0.00025642914,0.00002787354,0.0000403086,0.00009463009,0.000011246902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004949862,0.00045850014,0.00053727353,0.00018617482,0.00033262107,0.0006458548,0.0004435832,0.0005210315,0.001016398],"category_scores_gemma":[0.0012551239,0.00014665179,0.00029545164,0.00034943497,0.00034869168,0.00034680267,0.00035325586,0.00044256533,0.00020300069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010531094,0.00036416118,0.0013539355,0.0003641643,0.00012615956,0.00037379045,0.00014969765,0.5467331,0.08938872,0.0075293602,0.0014157344,0.351148],"study_design_scores_gemma":[0.000032226922,0.00015925294,0.0002637583,0.000007759441,0.000029699906,0.00008142529,0.000015440057,0.9850293,0.012213865,0.0011038922,0.0010520793,0.000011402191],"about_ca_topic_score_codex":0.0025143367,"about_ca_topic_score_gemma":0.0020250382,"teacher_disagreement_score":0.0025143367,"about_ca_system_score_codex":0.0003547871,"about_ca_system_score_gemma":0.0004473696,"threshold_uncertainty_score":0.004999459},"labels":[],"label_agreement":null},{"id":"W4409744385","doi":"10.1016/j.jtbi.2025.112129","title":"Positive and negative selective assortment","year":2025,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Junta de Castilla y León; Agencia Estatal de Investigación; European Regional Development Fund; Ministerio de Universidades; Natural Sciences and Engineering Research Council of Canada; Universidad de Valladolid","keywords":"Biology; Computer science","score_opus":0.02407301883776324,"score_gpt":0.3968736235685551,"score_spread":0.37280060473079185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409744385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7942442,0.0019793278,0.14645977,0.0017889292,0.00020663538,0.00012560948,0.00029543904,0.00011999213,0.054780167],"genre_scores_gemma":[0.9920786,0.00043656156,0.0038118341,0.00016963438,0.00005714745,0.000045101588,0.000044571632,0.000012477217,0.0033440576],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989059,0.0003936367,0.00006543577,0.00025215055,0.0002044175,0.00017839579],"domain_scores_gemma":[0.9937469,0.0037298533,0.0011065517,0.0006537365,0.00037217076,0.00039076208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017316731,0.00061632803,0.0005996253,0.00058860733,0.0006724762,0.0012894382,0.00081003376,0.0010084382,0.0045104777],"category_scores_gemma":[0.0106823025,0.00019065622,0.00067329605,0.0004142257,0.0024598225,0.0020808538,0.0012502518,0.00069395424,0.00037747054],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021486003,0.000102350175,0.018423012,0.00031871605,0.00018909214,0.0018561516,0.00090367394,0.046824686,0.015304396,0.87924963,0.0022537976,0.034359664],"study_design_scores_gemma":[0.00008112087,0.0002832936,0.015960068,0.000115592826,0.00017751561,0.004516297,0.0007211727,0.16913038,0.0057534208,0.79293054,0.010195921,0.00013474392],"about_ca_topic_score_codex":0.0008481757,"about_ca_topic_score_gemma":0.00052093767,"teacher_disagreement_score":0.0045104777,"about_ca_system_score_codex":0.00053252664,"about_ca_system_score_gemma":0.00040331853,"threshold_uncertainty_score":0.015089095},"labels":[],"label_agreement":null},{"id":"W4410292483","doi":"10.1016/j.jtbi.2025.112142","title":"Pillars of theoretical biology: ‘Mathematical models for cellular interaction in development, I and II’","year":2025,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Mathematical and theoretical biology; Development (topology); Computational biology; Evolutionary biology; Biological system; Mathematics; Genetics; Mathematical analysis","score_opus":0.015262103291725022,"score_gpt":0.2596679111444582,"score_spread":0.24440580785273316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410292483","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0049155746,0.21229406,0.55093217,0.1247459,0.011656372,0.00009799588,0.0004394372,0.00047903688,0.0944394],"genre_scores_gemma":[0.33345917,0.25477564,0.26458764,0.055550277,0.04328824,0.0015289389,0.0010713267,0.00088295783,0.04485575],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99729735,0.0013401549,0.00014705035,0.00033648958,0.00073905574,0.00013993264],"domain_scores_gemma":[0.99555814,0.0032181183,0.0002739447,0.00046358604,0.0003241659,0.00016214997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050242147,0.0012418955,0.0017387733,0.0027695035,0.0015827593,0.004488088,0.0023215483,0.004019612,0.00402273],"category_scores_gemma":[0.0061256806,0.00063641346,0.0014465827,0.0023514347,0.013757498,0.008860679,0.0030209536,0.0071777822,0.0024758407],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004620292,0.000010111954,0.000046129153,0.00012312751,0.0000097441025,0.000021120833,0.00014970025,0.0008456435,0.000114984585,0.98107237,0.00957518,0.0080272835],"study_design_scores_gemma":[0.000005061489,0.000013117353,0.000057547782,0.00007907472,0.0000035491967,0.000044995046,0.000034513443,0.0016745644,0.0001068323,0.942161,0.05580833,0.000011284241],"about_ca_topic_score_codex":0.0012075573,"about_ca_topic_score_gemma":0.0005798869,"teacher_disagreement_score":0.0050242147,"about_ca_system_score_codex":0.0032210662,"about_ca_system_score_gemma":0.001960968,"threshold_uncertainty_score":0.026570857},"labels":[],"label_agreement":null},{"id":"W4412601441","doi":"10.1016/j.jtbi.2025.112211","title":"Infections are not alike: The effects of covariation between individual susceptibility and transmissibility on epidemic dynamics","year":2025,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"University of Maryland, Baltimore; University of Maryland; Simons Foundation; National Science Foundation","keywords":"Transmissibility (structural dynamics); Biology; Epidemic model; Environmental health; Medicine; Physics","score_opus":0.07360750137833984,"score_gpt":0.4105805782382072,"score_spread":0.3369730768598674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412601441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9382159,0.0005219525,0.054274477,0.0022676985,0.000038926195,0.000022555518,0.00014222569,0.000081810394,0.004434464],"genre_scores_gemma":[0.9970642,0.00013724202,0.0021889622,0.00010912054,0.000018479182,0.0000086085465,0.000028763734,0.000016484355,0.0004282346],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99833316,0.00086073787,0.000094922514,0.00033887668,0.00015754106,0.00021469724],"domain_scores_gemma":[0.98236495,0.009744694,0.0039846012,0.002502362,0.00042992242,0.00097350567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038962269,0.00039871543,0.0007119638,0.0006225746,0.00070237386,0.0021764538,0.00072625116,0.0012184352,0.002627597],"category_scores_gemma":[0.028720729,0.000486516,0.00076392863,0.0006183273,0.002023374,0.0034513907,0.0018738153,0.001677193,0.00026545013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009140408,0.0004952394,0.35692376,0.00025495657,0.0010726847,0.0032493882,0.003567111,0.12244972,0.03697436,0.41430593,0.002277419,0.05751542],"study_design_scores_gemma":[0.00009405782,0.0003745635,0.29281613,0.000112136375,0.0004597959,0.0018786527,0.001427556,0.31257552,0.004165829,0.38311017,0.0027692798,0.00021632564],"about_ca_topic_score_codex":0.0029348624,"about_ca_topic_score_gemma":0.0028608986,"teacher_disagreement_score":0.0038962269,"about_ca_system_score_codex":0.00071214937,"about_ca_system_score_gemma":0.00080608705,"threshold_uncertainty_score":0.020605445},"labels":[],"label_agreement":null},{"id":"W4412711075","doi":"10.1016/j.jtbi.2025.112234","title":"The consequence of uneven walking transitory modulation strategies: A simulation-based approach","year":2025,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Terrain; Work (physics); Gait; Momentum (technical analysis); Dissipation; Control theory (sociology); Effect of gait parameters on energetic cost; Computer science; Perturbation (astronomy); Simulation; Physics; Gait analysis; Economics; Physical medicine and rehabilitation; Control (management); Ecology","score_opus":0.02063962683758361,"score_gpt":0.3786203441090821,"score_spread":0.35798071727149844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412711075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8734783,0.00024229567,0.10864911,0.00062399695,0.000077838406,0.0001813505,0.00021716801,0.00014987901,0.016379986],"genre_scores_gemma":[0.99333715,0.00006171453,0.005752254,0.000026923157,0.0000058756214,0.000059091726,0.00002912784,0.000009722618,0.0007180878],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987864,0.000058521186,0.000005371755,0.000018258437,0.000017446182,0.000021787624],"domain_scores_gemma":[0.9991266,0.00066599663,0.00005217058,0.000033688197,0.00007725629,0.00004423148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038698167,0.00044104434,0.000577169,0.0005357762,0.00037567166,0.00087624637,0.0007450819,0.001196505,0.003955503],"category_scores_gemma":[0.0020150535,0.0003339053,0.00051903096,0.00024032027,0.00048185294,0.000533874,0.00054374425,0.00052282674,0.00012496507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028103736,0.0002834323,0.001991642,0.00006324682,0.0000619729,0.000106495936,0.00010471357,0.9846298,0.0014205553,0.0058618705,0.00022224952,0.0049728956],"study_design_scores_gemma":[0.00003594793,0.0000941083,0.00060437137,0.0000071716513,0.000023622355,0.000013364424,0.00003478383,0.99718827,0.00013557257,0.0017530805,0.00010374397,0.0000059643676],"about_ca_topic_score_codex":0.012660519,"about_ca_topic_score_gemma":0.0076131644,"teacher_disagreement_score":0.012660519,"about_ca_system_score_codex":0.0005883704,"about_ca_system_score_gemma":0.0009272909,"threshold_uncertainty_score":0.025173664},"labels":[],"label_agreement":null},{"id":"W4415291862","doi":"10.1016/j.jtbi.2025.112300","title":"Intraspecific competition can stabilize asymmetric nursery pollination mutualisms","year":2025,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Intraspecific competition; Mutualism (biology); Interspecific competition; Storage effect; Competition (biology); Coevolution; Pollinator","score_opus":0.01771780937989181,"score_gpt":0.23886303424708952,"score_spread":0.2211452248671977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415291862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99708575,0.000028615485,0.0017213634,0.0000483416,0.000009795619,0.000001472904,0.000011745565,0.000025820375,0.0010671245],"genre_scores_gemma":[0.9997551,0.0000037949653,0.00009072132,0.000006220476,0.0000025062052,8.8229825e-7,0.0000060319794,0.000004060058,0.00013067495],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998357,0.000036529986,0.000008058247,0.00003562699,0.000029025423,0.000054877193],"domain_scores_gemma":[0.99805295,0.00078844803,0.0004003651,0.0002462964,0.0001724543,0.00033954784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034387436,0.00013067244,0.00025492278,0.00037876153,0.00043635,0.00065022416,0.00039887795,0.00050104124,0.0033532113],"category_scores_gemma":[0.0024533044,0.00017877431,0.00022126803,0.00011338803,0.00040196895,0.00047916707,0.0007150607,0.00029326405,0.00021401524],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014834688,0.0002832701,0.11937135,0.00014225987,0.00032739452,0.0009874594,0.00060176995,0.02876913,0.77609074,0.03892074,0.002103272,0.030919133],"study_design_scores_gemma":[0.00031671047,0.0007361323,0.5678296,0.000021057353,0.00026874407,0.0010849962,0.0009070918,0.3192939,0.052122515,0.054660026,0.002639219,0.00012006617],"about_ca_topic_score_codex":0.00048397295,"about_ca_topic_score_gemma":0.0012913586,"teacher_disagreement_score":0.0033532113,"about_ca_system_score_codex":0.0003635114,"about_ca_system_score_gemma":0.00018043374,"threshold_uncertainty_score":0.011217594},"labels":[],"label_agreement":null},{"id":"W4415716651","doi":"10.1016/j.jtbi.2025.112306","title":"The effect of oxidative stress on the leading edge of the a-wave in retinitis pigmentosa","year":2025,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Retinal Development and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Scotopic vision; Retinitis pigmentosa; Oxidative stress; Leading edge; Oxidative damage; Retina; Oxidative phosphorylation","score_opus":0.005455389336088978,"score_gpt":0.26024312407764144,"score_spread":0.2547877347415525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415716651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994429,0.0032945203,0.00086283305,0.0002860386,0.00006721112,0.000010363866,0.00006949544,0.000012848182,0.0009677387],"genre_scores_gemma":[0.99817467,0.0010377007,0.0002652825,0.000038694663,0.00002973184,0.000003813879,0.000033374512,0.0000046270184,0.00041211274],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998678,0.00004614643,0.0000145966205,0.000016544744,0.00001977712,0.00003521204],"domain_scores_gemma":[0.9995345,0.00015331285,0.00009768886,0.000042891967,0.00006704555,0.00010457163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004117329,0.00027911644,0.00023591527,0.00055422285,0.00055390445,0.0005493632,0.00035203717,0.0006257607,0.0015214926],"category_scores_gemma":[0.0006743721,0.00020889443,0.0004172575,0.00021410851,0.0004663519,0.00055244786,0.0003288707,0.00083284295,0.00018703564],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.016407037,0.00055328273,0.029343937,0.0003332278,0.00015296563,0.0017071703,0.00036772387,0.0011201161,0.9257464,0.0035335529,0.00042828856,0.020306261],"study_design_scores_gemma":[0.0006003585,0.005827543,0.29416475,0.000100077305,0.0005568497,0.004557868,0.0022415207,0.009556554,0.66088367,0.017648172,0.0037750935,0.00008752303],"about_ca_topic_score_codex":0.0011892278,"about_ca_topic_score_gemma":0.0005914462,"teacher_disagreement_score":0.0015214926,"about_ca_system_score_codex":0.0003211223,"about_ca_system_score_gemma":0.00019683657,"threshold_uncertainty_score":0.0050899386},"labels":[],"label_agreement":null},{"id":"W4416205280","doi":"10.1016/j.jtbi.2025.112290","title":"Fast approximate Bayesian inference of HIV indicators using PCA adaptive Gauss-Hermite quadrature","year":2025,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Medical Research Council; National Institutes of Health; Foreign, Commonwealth and Development Office; Engineering and Physical Sciences Research Council; University of Waterloo; Joint United Nations Programme on HIV/AIDS; National Institute of Allergy and Infectious Diseases; Natural Sciences and Engineering Research Council of Canada; European Commission; Bill and Melinda Gates Foundation","keywords":"Inference; Bayes' theorem; Bayesian inference; Gaussian process; Human immunodeficiency virus (HIV); Bayesian probability; Monte Carlo method; Markov chain Monte Carlo","score_opus":0.028974863909663976,"score_gpt":0.3738171154192822,"score_spread":0.3448422515096182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416205280","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024679091,0.000077013974,0.99624074,0.00009253636,0.000016309621,0.000027429842,0.00012350077,0.00032136013,0.00063309714],"genre_scores_gemma":[0.12699258,0.0003044222,0.86752063,0.000167188,0.00009691799,0.0003098201,0.00076234457,0.0003869604,0.0034590482],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980646,0.0010721622,0.00010502726,0.00019222277,0.00043250946,0.00013352445],"domain_scores_gemma":[0.9887998,0.009096054,0.00035053468,0.00065547443,0.0009458449,0.00015230147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006856618,0.0006337116,0.001437793,0.0014109416,0.00061418535,0.0017505469,0.0022721782,0.0010699052,0.0074867937],"category_scores_gemma":[0.03412882,0.0011378461,0.0011508808,0.0017500459,0.00088526955,0.0016941273,0.0019272034,0.0025642444,0.0014969662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093137845,0.00007029696,0.0023644927,0.00016194543,0.000105682324,0.00009849126,0.00013036504,0.74203455,0.00077460584,0.14214164,0.005499168,0.10652559],"study_design_scores_gemma":[0.000012999754,0.0000048173642,0.0001523085,0.000013328102,0.00000481521,0.000010546112,0.000007639654,0.9651027,0.00017772158,0.03361788,0.0008887613,0.0000064268197],"about_ca_topic_score_codex":0.016054165,"about_ca_topic_score_gemma":0.022591334,"teacher_disagreement_score":0.016054165,"about_ca_system_score_codex":0.0016028275,"about_ca_system_score_gemma":0.003557766,"threshold_uncertainty_score":0.036261678},"labels":[],"label_agreement":null},{"id":"W4417408305","doi":"10.1016/j.jtbi.2026.112444","title":"Vitamin C as a nitrosation inhibitor: A modelling study across dietary patterns and water quality","year":2025,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Nitric Oxide and Endothelin Effects","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Environment and Climate Change Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Vitamin C; Postprandial; Nitrosation; Vitamin; Nitrite; Leafy vegetables; Micronutrient; Nutrient","score_opus":0.019739704848851267,"score_gpt":0.35318067893622457,"score_spread":0.3334409740873733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417408305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97310567,0.00073370157,0.018112594,0.00060724973,0.00004781785,0.00008502905,0.0019376881,0.000082025166,0.0052882666],"genre_scores_gemma":[0.9858812,0.00065330544,0.007664438,0.00013917053,0.000017994304,0.0001632474,0.0009900503,0.00003221741,0.0044583143],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997855,0.00006592566,0.000010793593,0.00007155836,0.000022266948,0.00004387263],"domain_scores_gemma":[0.99883276,0.00078222866,0.00013036131,0.00004572047,0.00014847262,0.000060464736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059530407,0.00079532585,0.00091830164,0.0005526211,0.00042092334,0.0010667554,0.0013008831,0.0019452086,0.0019712106],"category_scores_gemma":[0.0018693607,0.00036873147,0.0020993003,0.00077379553,0.0006205932,0.0007977316,0.0007446599,0.0010816761,0.0002494189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026166145,0.00030464216,0.010586891,0.00020392759,0.00015905662,0.00018441146,0.000120520424,0.9773736,0.0033738778,0.0036946032,0.0005860073,0.0031507725],"study_design_scores_gemma":[0.00004092549,0.000113778995,0.0027108695,0.000011867129,0.00007060906,0.000024524368,0.00009867461,0.994918,0.00042058845,0.0009792328,0.0005901533,0.00002090088],"about_ca_topic_score_codex":0.08314688,"about_ca_topic_score_gemma":0.036970727,"teacher_disagreement_score":0.08314688,"about_ca_system_score_codex":0.0014647857,"about_ca_system_score_gemma":0.0011133463,"threshold_uncertainty_score":0.16532582},"labels":[],"label_agreement":null},{"id":"W768172717","doi":"10.1016/j.jtbi.2015.06.016","title":"Local densities connect spatial ecology to game, multilevel selection and inclusive fitness theories of cooperation","year":2015,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Selection (genetic algorithm); Covariance; Spatial ecology; Variance (accounting); Ecology; Inbreeding; Computer science; Game theory; Statistical physics; Econometrics; Mathematics; Statistics; Biology; Mathematical economics; Sociology; Artificial intelligence; Physics; Economics","score_opus":0.012887497497547331,"score_gpt":0.3144704895796878,"score_spread":0.3015829920821405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W768172717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4695504,0.00087405177,0.43271285,0.007994739,0.000096706586,0.00006970891,0.00011905169,0.000093101386,0.08848939],"genre_scores_gemma":[0.9886619,0.0002274012,0.008949677,0.00013291216,0.00004046408,0.000036075744,0.000017066934,0.000012564497,0.0019219812],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99934596,0.0003458081,0.000024228699,0.000108646505,0.000115602226,0.000059880826],"domain_scores_gemma":[0.99363434,0.0044749435,0.0006440134,0.0005086914,0.00048000028,0.00025809064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015608112,0.00028963297,0.0005000586,0.001186502,0.00080741977,0.0018906703,0.0012929438,0.0009865895,0.0073253023],"category_scores_gemma":[0.009798698,0.00032972556,0.0005017046,0.0011063331,0.0038165294,0.003887378,0.002182842,0.0011065396,0.00039035894],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012491748,0.00002675599,0.0047877454,0.000042048385,0.000028120188,0.000054174605,0.0006380794,0.012985196,0.000255423,0.97167957,0.00060475897,0.00888563],"study_design_scores_gemma":[0.0000120032255,0.0000142739345,0.0034802593,0.000015022114,0.000015378619,0.00010999321,0.000436813,0.027446786,0.000068451336,0.96740896,0.0009814024,0.0000106163825],"about_ca_topic_score_codex":0.0027470172,"about_ca_topic_score_gemma":0.0037812898,"teacher_disagreement_score":0.0073253023,"about_ca_system_score_codex":0.0012590908,"about_ca_system_score_gemma":0.0005368346,"threshold_uncertainty_score":0.024505556},"labels":[],"label_agreement":null}]}