{"meta":{"query_hash":"a6d5f4e1d9c6","filters":{"venue":"Biosystems"},"cohort_total":162,"direct_labels_cover":0,"predictions_cover":162,"exported":162,"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/a6d5f4e1d9c6","api":"https://metacan.xera.ac/api/v1/cohort?venue=Biosystems"},"results":[{"id":"W1792091924","doi":"10.1016/j.biosystems.2015.10.002","title":"The identification of cis-regulatory elements: A review from a machine learning perspective","year":2015,"lang":"en","type":"review","venue":"Biosystems","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Child and Family Research Institute; University of British Columbia; National Research Council Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Canada","keywords":"Enhancer; Computational biology; Biology; Regulatory sequence; Promoter; Chromatin; Transcription factor; Genome; Noncoding DNA; DNA sequencing; Histone; DNA binding site; Genetics; Gene; Computer science; Gene expression","score_opus":0.01938759512497126,"score_gpt":0.30150111121557505,"score_spread":0.2821135160906038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1792091924","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":[0.0000891322,0.9990212,0.00036551434,0.00016909256,0.00010439928,0.0000024366889,0.000026349566,0.00000631158,0.0002156437],"genre_scores_gemma":[0.00072879845,0.9981166,0.00054540666,0.0002276961,0.00014643502,0.000004428534,0.000053526706,0.0000021459107,0.00017499339],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99977595,0.000029232358,0.000037167272,0.000062009145,0.000073877905,0.000021779757],"domain_scores_gemma":[0.9991666,0.0004957647,0.00011802814,0.000021152846,0.00015120825,0.000047318874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008800929,0.0010000389,0.0020976148,0.0025622207,0.00025774655,0.0012169031,0.0014032887,0.0014117849,0.002922887],"category_scores_gemma":[0.0016793996,0.00044044375,0.00064737233,0.0030911963,0.0007949667,0.0017536384,0.00092475995,0.0016756457,0.0015147352],"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":[0.000119771576,0.000052914707,0.00043763602,0.034542516,0.00019676724,0.00029631623,0.0000712122,0.00077055197,0.004308589,0.004921126,0.022744196,0.93153846],"study_design_scores_gemma":[0.00002557439,0.00011277227,0.0013889516,0.00644309,0.00045584308,0.0017919162,0.00008495273,0.0002783198,0.0021144168,0.005083227,0.9821608,0.00006009246],"about_ca_topic_score_codex":0.0010443452,"about_ca_topic_score_gemma":0.0015806705,"teacher_disagreement_score":0.002922887,"about_ca_system_score_codex":0.00067474396,"about_ca_system_score_gemma":0.0014484692,"threshold_uncertainty_score":0.009778023},"labels":[],"label_agreement":null},{"id":"W1964353269","doi":"10.1016/j.biosystems.2012.05.009","title":"Simulation of the effects of microtubules in the cortical rotation of amphibian embryos in normal and zero gravity","year":2012,"lang":"en","type":"article","venue":"Biosystems","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":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Canadian Space Agency; University of Manitoba","keywords":"Rotation (mathematics); Buoyancy; Physics; Mechanics; Gravitational field; Cytoplasm; Drag; Microtubule; Classical mechanics; Stiffness; Biology; Geometry; Mathematics; Cell biology","score_opus":0.006144892630962201,"score_gpt":0.23360657542393354,"score_spread":0.22746168279297133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964353269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920352,0.00005213448,0.002446333,0.00010956077,0.000017577215,0.00001234548,0.00012319494,0.00006177304,0.005141854],"genre_scores_gemma":[0.998428,0.00004043808,0.0007885311,0.000011239331,0.0000020596483,0.000008293214,0.00004848716,0.000012013346,0.0006610575],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999509,0.000009405674,0.0000016642488,0.0000061944006,0.000011218868,0.000020587913],"domain_scores_gemma":[0.99969375,0.00016696528,0.000034867568,0.000015532414,0.000031671258,0.00005715775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011604708,0.00024098223,0.00027826565,0.0003816747,0.00050876936,0.00036626344,0.0005171009,0.0005600095,0.003087023],"category_scores_gemma":[0.00070712593,0.0002512476,0.0003666114,0.0003208879,0.0006611642,0.00019967069,0.00033969746,0.00039949047,0.00010441665],"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":[0.00009350097,0.000037872895,0.002108907,0.00002186226,0.00001589943,0.00011144697,0.00006791347,0.9905082,0.0037846304,0.002036293,0.00014058182,0.0010728765],"study_design_scores_gemma":[0.00005645565,0.00006543189,0.0023358034,0.0000056815984,0.000012323376,0.000019935169,0.00006378032,0.9950245,0.0015491052,0.0005394714,0.00031651312,0.0000108819395],"about_ca_topic_score_codex":0.029992532,"about_ca_topic_score_gemma":0.019060466,"teacher_disagreement_score":0.029992532,"about_ca_system_score_codex":0.0009224386,"about_ca_system_score_gemma":0.0009733744,"threshold_uncertainty_score":0.059635878},"labels":[],"label_agreement":null},{"id":"W1965095041","doi":"10.1016/j.biosystems.2006.04.010","title":"Optimal signal in sensory neurons under an extended rate coding concept","year":2006,"lang":"en","type":"article","venue":"Biosystems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"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; Akademie Věd České Republiky","keywords":"Fisher information; Inflection point; Sigmoid function; Mathematics; Estimator; Point process; Parametric statistics; Transfer function; Algorithm; Computer science; Statistics; Artificial intelligence; Artificial neural network","score_opus":0.03711818905034501,"score_gpt":0.25922912395851183,"score_spread":0.22211093490816683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965095041","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":[0.16518365,0.00065689406,0.81205004,0.0012819286,0.00017259664,0.000029830659,0.00011615383,0.00011760687,0.0203913],"genre_scores_gemma":[0.9319784,0.0004972762,0.059003785,0.00023227233,0.00021119509,0.000055144097,0.000048984057,0.00009764496,0.007875218],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99963105,0.00010330911,0.00001741766,0.00007824873,0.0001138964,0.000056020115],"domain_scores_gemma":[0.99897075,0.0005759879,0.00010614735,0.000085363485,0.00017094391,0.0000909351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010988624,0.0005866896,0.00057763624,0.00041747393,0.0003754851,0.0012235525,0.00096589857,0.0011319568,0.0024966896],"category_scores_gemma":[0.002634108,0.00031625805,0.0005038545,0.00032476048,0.0013362525,0.0025613166,0.0011316609,0.0010793826,0.000245534],"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":[0.00007786684,0.000022929016,0.00016043092,0.000059331203,0.00001725935,0.0001097124,0.00010260883,0.04660662,0.018578403,0.9260942,0.0003855615,0.0077850963],"study_design_scores_gemma":[0.00001824348,0.000050161798,0.0003310093,0.000014951537,0.0000128914035,0.00012548939,0.00003171852,0.53448427,0.002529044,0.46186197,0.00051152665,0.000028664534],"about_ca_topic_score_codex":0.00052585267,"about_ca_topic_score_gemma":0.00040079368,"teacher_disagreement_score":0.0024966896,"about_ca_system_score_codex":0.0007151568,"about_ca_system_score_gemma":0.0004938024,"threshold_uncertainty_score":0.00835228},"labels":[],"label_agreement":null},{"id":"W1969079384","doi":"10.1016/j.biosystems.2010.08.001","title":"Towards information processing from nonlinear physical chemistry: A synthetic electrochemical cognitive system","year":2010,"lang":"en","type":"article","venue":"Biosystems","topic":"Plant and Biological Electrophysiology Studies","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 Toronto","funders":"","keywords":"Dissipative system; Computer science; sort; Associative property; Information processing; Nonlinear system; Pattern formation; Mechanism (biology); Self-organization; Cognition; Complex system; Range (aeronautics); Distributive property; Physical system; Artificial intelligence; Biological system; Cognitive science; Theoretical computer science; Distributed computing; Neuroscience; Materials science; Physics; Mathematics; Biology; Psychology","score_opus":0.00667747823439543,"score_gpt":0.19272670540042106,"score_spread":0.18604922716602562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969079384","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":[0.23322184,0.00056162215,0.7276195,0.0020390686,0.00034081392,0.00012378415,0.00018353404,0.00046030528,0.035449438],"genre_scores_gemma":[0.8749638,0.00037616343,0.11840917,0.0002284316,0.00006110596,0.000068148474,0.000089786714,0.000042114465,0.005761234],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999243,0.000023151833,0.0000038022702,0.000021029966,0.000020283793,0.0000074453924],"domain_scores_gemma":[0.999703,0.00015796951,0.000019870364,0.00005092633,0.000041544845,0.000026622904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023685895,0.0002022212,0.00016312963,0.00012881351,0.00022932953,0.0008878916,0.00051310624,0.0005538403,0.0024030965],"category_scores_gemma":[0.0011070158,0.000107404965,0.0002200268,0.00009763735,0.00059698534,0.0010018274,0.00058222894,0.00056171615,0.00040427083],"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":[0.00018386595,0.00023660924,0.00052004145,0.00032181552,0.000054932738,0.00021267644,0.00030999654,0.061167274,0.18925333,0.68147045,0.002137084,0.064131916],"study_design_scores_gemma":[0.000059489936,0.0002515563,0.00041146472,0.000019862713,0.00002518333,0.00022395838,0.0001061966,0.5361824,0.061742596,0.39303085,0.007909139,0.000037211597],"about_ca_topic_score_codex":0.00018918217,"about_ca_topic_score_gemma":0.00015184426,"teacher_disagreement_score":0.0024030965,"about_ca_system_score_codex":0.00019806858,"about_ca_system_score_gemma":0.0002935186,"threshold_uncertainty_score":0.008039176},"labels":[],"label_agreement":null},{"id":"W1969409494","doi":"10.1016/s0303-2647(03)00148-5","title":"A study on the interplay between energy and matter transformation: the effect of elevated temperatures on the leaf morphology of Vitis vinifera var. Merlot","year":2003,"lang":"en","type":"article","venue":"Biosystems","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological 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 British Columbia","funders":"","keywords":"Vitis vinifera; Transformation (genetics); Morphology (biology); Horticulture; Botany; Biology; Plant development; Shoot","score_opus":0.02337749585955681,"score_gpt":0.27313790258939424,"score_spread":0.24976040672983743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969409494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99943167,0.00013916656,0.00010954865,0.000015723721,0.0000047553467,0.0000032367004,0.000097116856,0.0000035164724,0.00019515809],"genre_scores_gemma":[0.99862635,0.000106727195,0.0001555311,0.000024790228,0.0000037360994,0.0000050419717,0.00027254265,0.000011012963,0.0007942896],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999032,0.000019016554,0.000006023065,0.000037141745,0.000013486274,0.000021112392],"domain_scores_gemma":[0.99979013,0.00006285532,0.000035069163,0.00002672102,0.000025723346,0.00005953235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014062044,0.0002269687,0.00026571905,0.00013903607,0.0002867622,0.00036541442,0.0002444364,0.00022434171,0.00076266663],"category_scores_gemma":[0.00015119943,0.00013443847,0.00028102752,0.00017049488,0.0002585622,0.00030338153,0.00025703732,0.00066289766,0.00015965095],"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":[0.00053533836,0.00010433988,0.0038162214,0.000027772736,0.00001893127,0.000054519485,0.000118372256,0.00011681101,0.9936738,0.000046848283,0.00002763593,0.0014595229],"study_design_scores_gemma":[0.00006129741,0.0023618625,0.5635868,0.000011103862,0.00009258642,0.0003881275,0.0007432348,0.0022488649,0.4277003,0.0001725605,0.0026003392,0.00003288052],"about_ca_topic_score_codex":0.0043870783,"about_ca_topic_score_gemma":0.0043214182,"teacher_disagreement_score":0.0043870783,"about_ca_system_score_codex":0.0005510337,"about_ca_system_score_gemma":0.00020493848,"threshold_uncertainty_score":0.00872308},"labels":[],"label_agreement":null},{"id":"W1970801110","doi":"10.1016/j.biosystems.2011.11.008","title":"Feedforward non-Michaelis–Menten mechanism for CO2 uptake by Rubisco: Contribution of carbonic anhydrases and photorespiration to optimization of photosynthetic carbon assimilation","year":2011,"lang":"en","type":"article","venue":"Biosystems","topic":"Photosynthetic Processes and Mechanisms","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 Lethbridge; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photorespiration; RuBisCO; Chloroplast stroma; Photosynthesis; Chloroplast; Bicarbonate; Thylakoid; Carbon fixation; Carbonic anhydrase; Biophysics; Ribulose; Electron transport chain; Biology; Biochemistry; Chemistry; Enzyme","score_opus":0.010827568905654674,"score_gpt":0.22121452622902868,"score_spread":0.210386957323374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970801110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5915592,0.0020124288,0.38934043,0.0021636577,0.0005711898,0.00017191144,0.00059332186,0.0028341822,0.010753721],"genre_scores_gemma":[0.98211586,0.00037058402,0.012497696,0.00007915761,0.000054575565,0.00004513333,0.000121448014,0.00003554095,0.004680024],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998616,0.000018283758,0.000008560913,0.00004441642,0.000047164616,0.000019910263],"domain_scores_gemma":[0.999818,0.000049643477,0.000020894617,0.000025287263,0.00005171255,0.00003448523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043374108,0.0007922065,0.00057058025,0.00017127619,0.00047876412,0.00061949313,0.0009752208,0.0006782212,0.003694246],"category_scores_gemma":[0.00053689757,0.0003505923,0.00047728664,0.00012933672,0.00033879932,0.000871484,0.0005749837,0.00057853904,0.00062565843],"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":[0.0004891848,0.00016774533,0.0014048975,0.00040309242,0.000060489183,0.00024536444,0.00010681971,0.022432083,0.92021334,0.013043081,0.0013315073,0.040102404],"study_design_scores_gemma":[0.00018635772,0.0005532772,0.01238166,0.000026633112,0.00009590586,0.00033693155,0.00007909198,0.5730222,0.38503078,0.023573736,0.0045921733,0.000121307035],"about_ca_topic_score_codex":0.0014515173,"about_ca_topic_score_gemma":0.0021953094,"teacher_disagreement_score":0.003694246,"about_ca_system_score_codex":0.00068566384,"about_ca_system_score_gemma":0.00068160787,"threshold_uncertainty_score":0.012358427},"labels":[],"label_agreement":null},{"id":"W1974604733","doi":"10.1016/j.biosystems.2008.10.005","title":"The effect of developmental variation on hybridization and rarity in Stipoid grasses","year":2008,"lang":"en","type":"article","venue":"Biosystems","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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Variation (astronomy); Biology; Ontogeny; Evolutionary biology; Ecology; Genetics","score_opus":0.026404225992335918,"score_gpt":0.18562341176157537,"score_spread":0.15921918576923946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974604733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99916184,0.00014608416,0.00012841547,0.000016077754,0.000001573292,0.0000019838776,0.0000591614,0.000005732099,0.0004792325],"genre_scores_gemma":[0.9987558,0.00007988688,0.00023250349,0.000035411576,0.000005795829,0.000008319261,0.00013943367,0.00002872452,0.0007139541],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99938476,0.000262537,0.000032393014,0.00017209422,0.00007634181,0.00007179607],"domain_scores_gemma":[0.99738306,0.001552669,0.00027414548,0.00017686849,0.00013604891,0.00047718055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005897069,0.00030698764,0.00044332666,0.0013206821,0.0004706218,0.00048559258,0.0006895948,0.00051417114,0.0018589428],"category_scores_gemma":[0.0015634507,0.0004142808,0.00027146735,0.0004946763,0.0008311206,0.0003917789,0.00082466594,0.00082548364,0.00025397158],"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":[0.0007509154,0.000048973325,0.019463364,0.000042017295,0.00006449035,0.00015664933,0.00041777338,0.00022833876,0.974739,0.00027737237,0.000030059293,0.003781086],"study_design_scores_gemma":[0.00002395493,0.00030991572,0.97234976,0.00000908806,0.000048457296,0.0003499222,0.00034963412,0.00075030624,0.025048621,0.00020638361,0.0005235924,0.000030439378],"about_ca_topic_score_codex":0.0028954481,"about_ca_topic_score_gemma":0.007805272,"teacher_disagreement_score":0.0028954481,"about_ca_system_score_codex":0.00087364856,"about_ca_system_score_gemma":0.00033139077,"threshold_uncertainty_score":0.0063388348},"labels":[],"label_agreement":null},{"id":"W1974716204","doi":"10.1016/j.biosystems.2011.05.013","title":"Genetic algorithm with alternating selection pressure for protein side-chain packing and pK(a) prediction","year":2011,"lang":"en","type":"article","venue":"Biosystems","topic":"Protein Structure and Dynamics","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":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Side chain; Algorithm; Protein structure prediction; Genetic algorithm; Simulated annealing; Chain (unit); Protein folding; Selection (genetic algorithm); Convergence (economics); Computer science; Folding (DSP implementation); Energy (signal processing); Mathematical optimization; Protein structure; Biological system; Mathematics; Chemistry; Physics; Artificial intelligence; Polymer; Engineering; Biology","score_opus":0.008338041927264834,"score_gpt":0.2039657110471491,"score_spread":0.19562766911988427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974716204","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":[0.11241711,0.00031861756,0.8824106,0.00036180962,0.00008759059,0.00018106507,0.00009090572,0.0015736712,0.0025585957],"genre_scores_gemma":[0.48442397,0.00017263678,0.5117197,0.00033599004,0.00009573555,0.00048249977,0.00026222912,0.00020442283,0.0023027854],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946636,0.00024061133,0.000026796159,0.0000916533,0.00011891659,0.000055698158],"domain_scores_gemma":[0.9982986,0.0012182083,0.00007583884,0.000074642994,0.0002555466,0.000077303506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015225215,0.0007541221,0.0013501195,0.0011888864,0.00087387627,0.00070862594,0.0020968774,0.0019966615,0.002308446],"category_scores_gemma":[0.0037579443,0.00061804685,0.0007826068,0.0009526922,0.0007113917,0.0007537208,0.0010623331,0.0012260963,0.000458141],"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":[0.00027542314,0.00016804325,0.0017887744,0.0000472211,0.000104326,0.0001612912,0.00007378607,0.864508,0.0022320917,0.004573545,0.0015094347,0.12455814],"study_design_scores_gemma":[0.000024910683,0.000014612638,0.00008006396,0.0000018771615,0.0000073069564,0.000011817075,0.000003327918,0.9989033,0.00019365497,0.00067472307,0.00008204076,0.0000024528022],"about_ca_topic_score_codex":0.009907143,"about_ca_topic_score_gemma":0.005879756,"teacher_disagreement_score":0.009907143,"about_ca_system_score_codex":0.0008003627,"about_ca_system_score_gemma":0.001845742,"threshold_uncertainty_score":0.019698977},"labels":[],"label_agreement":null},{"id":"W1979131750","doi":"10.1016/j.biosystems.2012.05.007","title":"A mean field Ising model for cortical rotation in amphibian one-cell stage embryos","year":2012,"lang":"en","type":"article","venue":"Biosystems","topic":"Microtubule and mitosis dynamics","field":"Biochemistry, Genetics and Molecular Biology","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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency","keywords":"Microtubule; Ising model; Cell cortex; Phase transition; Physics; Rotation (mathematics); Statistical physics; Condensed matter physics; Chemistry; Biology; Computer science; Cell; Cytoskeleton","score_opus":0.023153195299887328,"score_gpt":0.26512089768839814,"score_spread":0.2419677023885108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979131750","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":[0.42736802,0.0028271908,0.52223223,0.004878914,0.0005578424,0.00010637879,0.0012182236,0.00083383603,0.039977353],"genre_scores_gemma":[0.96892715,0.0010991272,0.011269116,0.00021146887,0.0001181349,0.0000860653,0.0002142299,0.00011588378,0.017958907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983966,0.000042337964,0.000008645725,0.000036291265,0.000034335542,0.000038699956],"domain_scores_gemma":[0.99949706,0.00023394586,0.000078988625,0.000036529385,0.00007233508,0.00008107862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051907403,0.00045051353,0.0014508339,0.00081858697,0.00097595336,0.0010902206,0.0019896822,0.0021807326,0.0036404792],"category_scores_gemma":[0.0016045567,0.00066107657,0.0008726885,0.000998942,0.0015369356,0.001364386,0.0006131436,0.0011215081,0.000441066],"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":[0.000046280617,0.000020680944,0.00047356635,0.00003738526,0.000023555374,0.000114755785,0.000046153415,0.92755705,0.0019746951,0.066414855,0.0008288879,0.002462099],"study_design_scores_gemma":[0.000013926728,0.000008676991,0.00020933239,0.0000042378065,0.000008996471,0.000019384233,0.000007805095,0.98744804,0.00011050457,0.011936924,0.00021917331,0.000013107039],"about_ca_topic_score_codex":0.031142384,"about_ca_topic_score_gemma":0.020350365,"teacher_disagreement_score":0.031142384,"about_ca_system_score_codex":0.0019596356,"about_ca_system_score_gemma":0.0017955763,"threshold_uncertainty_score":0.061922252},"labels":[],"label_agreement":null},{"id":"W1987541217","doi":"10.1016/j.biosystems.2010.10.001","title":"Optimization of CO2 fixation in photosynthetic cells via thermodynamic buffering","year":2010,"lang":"en","type":"article","venue":"Biosystems","topic":"Photosynthetic Processes and Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","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":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Vetenskapsrådet","keywords":"Carbon fixation; Chloroplast; Photosynthesis; RuBisCO; Photorespiration; Adenylate kinase; Biochemistry; Ribulose; Dehydrogenase; Chemistry; Biophysics; Biology; Enzyme","score_opus":0.003925361982627919,"score_gpt":0.20347967410468307,"score_spread":0.19955431212205516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987541217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9698473,0.00068369927,0.02421134,0.00057738705,0.00005475358,0.00002332317,0.000042316984,0.00012560646,0.0044341604],"genre_scores_gemma":[0.9987618,0.000091308124,0.00088932685,0.000016236589,0.000007764365,0.000008217684,0.0000071347604,0.000011377137,0.0002069715],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999194,0.000017734794,0.0000041250896,0.000018813133,0.000014656351,0.000025153686],"domain_scores_gemma":[0.99982846,0.00009581148,0.000023306582,0.000011584563,0.000015760339,0.000025074016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003355769,0.00032577294,0.0003460995,0.00017361034,0.00034345288,0.0009964762,0.0005181306,0.00029908065,0.0015807472],"category_scores_gemma":[0.00072694913,0.00028565872,0.00015188291,0.0001851191,0.00056442234,0.00083266915,0.0006469708,0.00032965202,0.00019807993],"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":[0.000644866,0.00013619101,0.0024738612,0.00016355551,0.000046190355,0.00015473286,0.000093816394,0.09126227,0.8667701,0.019596389,0.0003154188,0.018342547],"study_design_scores_gemma":[0.00024412596,0.00065964984,0.005935096,0.000020450449,0.0000552358,0.0001495162,0.00027599814,0.4931448,0.46405217,0.033265308,0.002100994,0.000096769116],"about_ca_topic_score_codex":0.0004954765,"about_ca_topic_score_gemma":0.0010993452,"teacher_disagreement_score":0.0015807472,"about_ca_system_score_codex":0.0006283934,"about_ca_system_score_gemma":0.00042721708,"threshold_uncertainty_score":0.005288124},"labels":[],"label_agreement":null},{"id":"W1993215186","doi":"10.1016/j.biosystems.2006.09.037","title":"Physical limits of computation and emergence of life","year":2006,"lang":"en","type":"article","venue":"Biosystems","topic":"Quantum Mechanics and Applications","field":"Physics and Astronomy","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":"University of Manitoba","funders":"","keywords":"Quantum decoherence; Computability; Quantum computer; Physical system; Quantum entanglement; Computer science; Computation; Theoretical computer science; Quantum; Universe; Statistical physics; Realization (probability); Theoretical physics; Physics; Mathematics; Algorithm; Quantum mechanics","score_opus":0.014565586322548257,"score_gpt":0.2537535846313593,"score_spread":0.23918799830881102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993215186","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":[0.2279824,0.04249463,0.12832364,0.062350124,0.0014469272,0.000066813926,0.0004834311,0.0004496222,0.53640246],"genre_scores_gemma":[0.9786968,0.005297194,0.007885271,0.0009899108,0.00071389123,0.00008350672,0.00006511777,0.00005444504,0.0062139924],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986902,0.00042508793,0.00005155515,0.0002129535,0.00044998195,0.00017018255],"domain_scores_gemma":[0.99283314,0.005377369,0.00023956693,0.0007555218,0.00043815037,0.00035633176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017719336,0.00028697908,0.000833216,0.0009450661,0.0020975051,0.0054268194,0.0012862834,0.0026760283,0.0066694524],"category_scores_gemma":[0.012086838,0.0004984468,0.00041726645,0.00062680023,0.011372169,0.010185317,0.0026388767,0.0035076176,0.0006255115],"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":[0.0000075278194,0.0000056335616,0.00006237316,0.000022329456,0.0000020887478,0.000019094205,0.00008071302,0.0005569477,0.00016262518,0.9972824,0.00046375694,0.0013345932],"study_design_scores_gemma":[0.0000022056777,0.0000016795761,0.000062399275,0.000008208799,7.8280027e-7,0.000019180767,0.000031910546,0.001023573,0.000054512308,0.9969885,0.0018039461,0.0000031279242],"about_ca_topic_score_codex":0.0017875028,"about_ca_topic_score_gemma":0.0008985453,"teacher_disagreement_score":0.0066694524,"about_ca_system_score_codex":0.0017796261,"about_ca_system_score_gemma":0.0010571626,"threshold_uncertainty_score":0.022311568},"labels":[],"label_agreement":null},{"id":"W1995306281","doi":"10.1016/s0303-2647(00)00076-9","title":"Diagrammatic approach to calculation of the fluctuation correlation matrix in a metabolic system","year":2000,"lang":"en","type":"article","venue":"Biosystems","topic":"Protein Structure and 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":"Western University","funders":"Swedish Foundation for International Cooperation in Research and Higher Education","keywords":"Diagrammatic reasoning; Statistical physics; Correlation; Matrix (chemical analysis); Representation (politics); Series (stratigraphy); Monte Carlo method; Simple (philosophy); Mathematics; Biological system; Computer science; Physics; Chemistry; Statistics; Biology","score_opus":0.004660273969354699,"score_gpt":0.215095683301858,"score_spread":0.2104354093325033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995306281","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":[0.028360013,0.00036608,0.9589651,0.00041609403,0.00015677823,0.000056648092,0.00016085146,0.0005121344,0.011006222],"genre_scores_gemma":[0.5524445,0.0009239566,0.43518153,0.00036239435,0.00018949708,0.00046433674,0.0002692552,0.0006361923,0.009528381],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99982256,0.00007960309,0.000009849746,0.00001619411,0.000057093148,0.000014700592],"domain_scores_gemma":[0.99949837,0.000300067,0.00003015477,0.000040739716,0.000092119975,0.00003861675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063502294,0.0004200413,0.0006386592,0.0011983173,0.0008846392,0.0010576537,0.0014871351,0.0013171824,0.005252477],"category_scores_gemma":[0.0019545597,0.00036583323,0.0006066317,0.00093389413,0.00087440317,0.0012144546,0.0005238466,0.0010516514,0.0007532039],"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":[0.00006556235,0.00007022995,0.00035883946,0.000108836546,0.000031824537,0.0002407654,0.00008544202,0.39446288,0.006155247,0.58189607,0.0020821898,0.014442054],"study_design_scores_gemma":[0.000012108528,0.000007010505,0.00007578823,0.0000054797347,0.0000036249726,0.000022506281,0.000006997133,0.9276777,0.00039077323,0.07061186,0.0011778456,0.000008367311],"about_ca_topic_score_codex":0.0036857163,"about_ca_topic_score_gemma":0.0028474147,"teacher_disagreement_score":0.005252477,"about_ca_system_score_codex":0.0009037976,"about_ca_system_score_gemma":0.0010630459,"threshold_uncertainty_score":0.01757127},"labels":[],"label_agreement":null},{"id":"W1995384700","doi":"10.1016/s0303-2647(02)00092-8","title":"Reconstruction of noisy patterns by bistable gradient neural-like network","year":2003,"lang":"en","type":"article","venue":"Biosystems","topic":"Neural Networks and Applications","field":"Computer 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 Toronto","funders":"","keywords":"Attractor; Bistability; Artificial neural network; Generalization; Multiplicative function; Gaussian; Convergence (economics); Computer science; White noise; Noise (video); Mathematics; Topology (electrical circuits); Statistical physics; Algorithm; Artificial intelligence; Mathematical analysis; Physics; Combinatorics; Telecommunications","score_opus":0.010866958132415876,"score_gpt":0.20413577832743043,"score_spread":0.19326882019501457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995384700","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":[0.262776,0.00037275598,0.73271686,0.00039172365,0.00009809368,0.000019280438,0.00012429769,0.0005489064,0.0029521743],"genre_scores_gemma":[0.93838936,0.00017963123,0.059328884,0.000077240154,0.000022481448,0.000016963138,0.00012132036,0.000060541446,0.0018036035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99994147,0.000013831634,0.000002685392,0.000015361587,0.000016197828,0.00001042232],"domain_scores_gemma":[0.999828,0.00005466371,0.00003392089,0.000031063384,0.00003098705,0.000021337277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020631662,0.0003482487,0.00035619215,0.00029227286,0.00015600631,0.00041832527,0.00055053213,0.00058911025,0.00087450026],"category_scores_gemma":[0.0011325998,0.00030642445,0.00025958187,0.00033809076,0.0003605894,0.00082943984,0.00038773275,0.0004492285,0.00017544655],"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":[0.0006131331,0.000077518445,0.0029402978,0.00018353156,0.000105513995,0.00042039066,0.00015041394,0.7331738,0.10232888,0.042567573,0.0023510777,0.115087934],"study_design_scores_gemma":[0.000006005592,0.000011295225,0.00028301042,0.0000022568593,0.0000032564858,0.000029161052,0.0000049059,0.9903679,0.0029229685,0.0062190075,0.00014446779,0.000005769185],"about_ca_topic_score_codex":0.0009233759,"about_ca_topic_score_gemma":0.0008779212,"teacher_disagreement_score":0.0009233759,"about_ca_system_score_codex":0.00027879808,"about_ca_system_score_gemma":0.00019483209,"threshold_uncertainty_score":0.0029254556},"labels":[],"label_agreement":null},{"id":"W1999250188","doi":"10.1016/j.biosystems.2012.05.006","title":"Biomechanical and coherent phenomena in morphogenetic relaxation processes","year":2012,"lang":"en","type":"review","venue":"Biosystems","topic":"Origins and Evolution of Life","field":"Physics and Astronomy","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":"Memorial University of Newfoundland","funders":"","keywords":"Cytoskeleton; Relaxation (psychology); Microtubule; Morphogenesis; Biophysics; Biological system; Physics; Chemistry; Biology; Neuroscience; Genetics; Biochemistry","score_opus":0.053870022192084414,"score_gpt":0.3018108359004477,"score_spread":0.2479408137083633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999250188","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":[0.00014154929,0.99789196,0.00029899078,0.00024775954,0.00016758367,0.000002529019,0.000010300292,0.0000044432254,0.0012349406],"genre_scores_gemma":[0.0010878125,0.9975031,0.000249775,0.00011520233,0.00034919722,0.000003863889,0.000017869323,0.0000013461017,0.00067192124],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99984086,0.000028886725,0.000017918259,0.000036220736,0.000061446786,0.000014575668],"domain_scores_gemma":[0.99958116,0.00024597842,0.000046677716,0.000011662231,0.00008862183,0.000025805726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005458018,0.0011361126,0.0014534253,0.0024740915,0.00052769465,0.0013482486,0.0010751996,0.0016487185,0.0031975596],"category_scores_gemma":[0.0008389518,0.00038921591,0.00038816212,0.0045913938,0.0016133753,0.0022499294,0.00083536445,0.0017861505,0.0016200698],"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":[0.00005692873,0.00006748286,0.00022755754,0.015205251,0.000074185285,0.0001912152,0.0001725174,0.0011159342,0.0021404428,0.021630915,0.023147337,0.9359701],"study_design_scores_gemma":[0.000014336412,0.000041280382,0.0011139269,0.0029330577,0.000102538215,0.00086971,0.00015844774,0.00030879994,0.0005455968,0.022349888,0.9715229,0.000039564216],"about_ca_topic_score_codex":0.0022403586,"about_ca_topic_score_gemma":0.003367379,"teacher_disagreement_score":0.0031975596,"about_ca_system_score_codex":0.00089055713,"about_ca_system_score_gemma":0.0014414048,"threshold_uncertainty_score":0.010696888},"labels":[],"label_agreement":null},{"id":"W2001354999","doi":"10.1016/j.biosystems.2010.07.020","title":"Dynamics and mechanisms of oscillatory photosynthesis","year":2010,"lang":"en","type":"article","venue":"Biosystems","topic":"Photosynthetic Processes and Mechanisms","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":"Memorial University of Newfoundland; University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photorespiration; Photosynthesis; RuBisCO; Carbon fixation; Context (archaeology); Biological system; Biology; Physics; Botany","score_opus":0.003871142422966268,"score_gpt":0.20262283862740932,"score_spread":0.19875169620444305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001354999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69940305,0.007020559,0.26250234,0.0035805993,0.00024761923,0.000036749843,0.00025549193,0.0006547798,0.02629887],"genre_scores_gemma":[0.99327224,0.0011875898,0.0039238352,0.000043635355,0.00007340739,0.000024126983,0.000050669576,0.000026322301,0.0013982382],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999268,0.000015945649,0.0000031221568,0.00001726067,0.00002397383,0.000012934712],"domain_scores_gemma":[0.9996985,0.0001473701,0.000044729957,0.00003440618,0.000041914645,0.00003303932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003235108,0.00018041309,0.0002528833,0.00040339175,0.00025751858,0.0007674174,0.0005813193,0.00038358293,0.0013670836],"category_scores_gemma":[0.0012531016,0.00023609011,0.00016035886,0.00032032118,0.0008501585,0.0009742833,0.00040667952,0.00045967865,0.00025349428],"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":[0.00014686405,0.00008823099,0.004549595,0.00017395773,0.00004860201,0.0001943272,0.0005244949,0.074143745,0.15228245,0.70587766,0.0024471765,0.059522945],"study_design_scores_gemma":[0.000027860895,0.00003416702,0.007711021,0.00002452823,0.00001598977,0.00015141099,0.0001420577,0.2732972,0.007023369,0.70760286,0.003920959,0.00004851414],"about_ca_topic_score_codex":0.00044463732,"about_ca_topic_score_gemma":0.00027166025,"teacher_disagreement_score":0.0013670836,"about_ca_system_score_codex":0.00053491665,"about_ca_system_score_gemma":0.00026979405,"threshold_uncertainty_score":0.004573405},"labels":[],"label_agreement":null},{"id":"W2002308848","doi":"10.1016/j.biosystems.2004.04.001","title":"Quantum computation, non-demolition measurements, and reflective control in living systems","year":2004,"lang":"en","type":"article","venue":"Biosystems","topic":"Fractal and DNA sequence analysis","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":"University of Manitoba","funders":"","keywords":"Quantum decoherence; Quantum; Computation; Quantum computer; Concatenation (mathematics); Set (abstract data type); Quantum system; Computer science; Living systems; Statistical physics; Physics; Algorithm; Quantum mechanics; Mathematics; Artificial intelligence","score_opus":0.01607046918331763,"score_gpt":0.25817908732637324,"score_spread":0.24210861814305562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002308848","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":[0.37915084,0.00498197,0.5681789,0.005302407,0.0004933686,0.00004628362,0.00009805973,0.00049092656,0.041257188],"genre_scores_gemma":[0.9760873,0.00050879,0.020540515,0.00014067763,0.00013383826,0.000022641902,0.000021509004,0.000042330623,0.0025024926],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99943596,0.00017890014,0.000021156591,0.000105812825,0.00019491733,0.000063210726],"domain_scores_gemma":[0.99805605,0.0011850585,0.00018906458,0.00028755263,0.00015801472,0.00012430639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001010349,0.0002609011,0.00053385744,0.0008735845,0.0009731404,0.0018265854,0.0010502007,0.0012044568,0.0014518297],"category_scores_gemma":[0.0038523925,0.0002992478,0.0003476012,0.0005570058,0.004919188,0.0032394873,0.0010539462,0.0014684938,0.00015948495],"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":[0.000046352678,0.00002676845,0.00015683257,0.000026437849,0.0000061783476,0.000032968615,0.00014352168,0.0079189,0.0034396593,0.97931755,0.00047499128,0.008409831],"study_design_scores_gemma":[0.0000069620082,0.000013613868,0.0001986846,0.000005936414,0.0000019515671,0.000034148477,0.000027103755,0.049057614,0.0017317875,0.94819915,0.00070539466,0.00001766092],"about_ca_topic_score_codex":0.00055544445,"about_ca_topic_score_gemma":0.0004055218,"teacher_disagreement_score":0.0018265854,"about_ca_system_score_codex":0.0009464451,"about_ca_system_score_gemma":0.00040286352,"threshold_uncertainty_score":0.0068669915},"labels":[],"label_agreement":null},{"id":"W2002393837","doi":"10.1016/s0303-2647(02)00020-5","title":"No Free Lunch: Why Specified Complexity Cannot be Purchased Without Intelligence, William Dembski, Rowman and Littlefield, 2002","year":2002,"lang":"en","type":"article","venue":"Biosystems","topic":"Computability, Logic, AI Algorithms","field":"Computer 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":"University of Waterloo","funders":"Department of Electronics and Information Technology, Ministry of Communications and Information Technology","keywords":"Mathematical economics; Mathematics","score_opus":0.08520510025240266,"score_gpt":0.2517812186450466,"score_spread":0.16657611839264394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002393837","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":[0.01082529,0.02900167,0.030025402,0.73536336,0.0030379638,0.000029749126,0.00023150234,0.0002337461,0.19125143],"genre_scores_gemma":[0.5427292,0.02515548,0.03242129,0.1325947,0.0027956995,0.00016856947,0.0002679934,0.00087373535,0.26299328],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988123,0.00036533078,0.000060349666,0.00022278445,0.00042241818,0.000116794676],"domain_scores_gemma":[0.99568474,0.002434158,0.00018927126,0.00038349646,0.0010006302,0.0003076471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030974047,0.00037281058,0.00041798168,0.00091894495,0.0036608863,0.0074483687,0.001050635,0.0055641145,0.018533958],"category_scores_gemma":[0.01666389,0.00049889594,0.00035517899,0.0010948662,0.011418957,0.017966269,0.0028361494,0.006920856,0.0029744275],"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":[0.000019381943,0.000012706794,0.00023519491,0.00003917583,0.0000053373383,0.000042010895,0.000792432,0.0002006054,0.000081481805,0.8683553,0.11889337,0.011322981],"study_design_scores_gemma":[0.000014481228,0.000005014846,0.000314085,0.0000872931,0.0000052086107,0.00005453163,0.00075036834,0.00052423036,0.00021186759,0.7586863,0.23933235,0.000014254461],"about_ca_topic_score_codex":0.0129429195,"about_ca_topic_score_gemma":0.021380143,"teacher_disagreement_score":0.018533958,"about_ca_system_score_codex":0.0042971596,"about_ca_system_score_gemma":0.0035405634,"threshold_uncertainty_score":0.06200224},"labels":[],"label_agreement":null},{"id":"W2003034217","doi":"10.1016/j.biosystems.2009.04.001","title":"Information processing mechanisms in microtubules at physiological temperature: Model predictions for experimental tests","year":2009,"lang":"en","type":"article","venue":"Biosystems","topic":"Cellular Automata and Applications","field":"Computer Science","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":"Toronto Metropolitan University; University of Alberta","funders":"","keywords":"Asynchronous communication; Cellular automaton; Information processing; Statistical physics; Biological system; Microtubule; Computer science; Quantum cellular automaton; Quantum; Quantum information processing; Signal processing; Phase diagram; Theoretical computer science; Physics; Algorithm; Phase (matter); Biology; Quantum mechanics; Neuroscience; Digital signal processing","score_opus":0.018078329084991247,"score_gpt":0.25613196470957733,"score_spread":0.2380536356245861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003034217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88350046,0.0014357711,0.09994452,0.00251185,0.00017242097,0.000065918226,0.00048013026,0.00039249475,0.011496519],"genre_scores_gemma":[0.99549806,0.0004510019,0.0031765148,0.000050643932,0.000022687242,0.000046968995,0.00009443052,0.000024410805,0.00063528994],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987113,0.000029949735,0.000008121899,0.000030182964,0.000031987496,0.000028692633],"domain_scores_gemma":[0.99822634,0.0011876515,0.00015462213,0.00013012472,0.00021763792,0.00008371858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064838375,0.0004363121,0.0006076516,0.000443892,0.00050334446,0.00094466674,0.0011673166,0.0009168494,0.002542112],"category_scores_gemma":[0.00454486,0.00032807278,0.0005983012,0.00030007714,0.001106536,0.0024830278,0.00038023037,0.0007198447,0.000403007],"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":[0.00026312162,0.00014595399,0.0019560712,0.00030128087,0.00004016063,0.0001554182,0.0001536147,0.84839696,0.025975795,0.11490848,0.0015129292,0.006190227],"study_design_scores_gemma":[0.000030160521,0.000032309104,0.0008458885,0.000012579937,0.000013812721,0.00002350228,0.000034677785,0.94929075,0.005090251,0.044415887,0.00018532824,0.00002475612],"about_ca_topic_score_codex":0.0032415632,"about_ca_topic_score_gemma":0.0016259049,"teacher_disagreement_score":0.0032415632,"about_ca_system_score_codex":0.0012345373,"about_ca_system_score_gemma":0.0008561507,"threshold_uncertainty_score":0.008957207},"labels":[],"label_agreement":null},{"id":"W2007496476","doi":"10.1016/j.biosystems.2007.06.002","title":"DNA approach to solve clustering problem based on a mutual order","year":2007,"lang":"en","type":"article","venue":"Biosystems","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","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 Alberta","funders":"Universiti Malaysia Pahang","keywords":"Cluster analysis; Computer science; Data mining; Correlation clustering; Clustering high-dimensional data; CURE data clustering algorithm; Fuzzy clustering; Theoretical computer science; Artificial intelligence","score_opus":0.01746398095476364,"score_gpt":0.24562370602037245,"score_spread":0.2281597250656088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007496476","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":[0.008933173,0.00016896,0.9896359,0.00011457269,0.000031777054,0.00003136096,0.000038622384,0.00014047287,0.0009052268],"genre_scores_gemma":[0.21404801,0.00042113347,0.77784294,0.00014611353,0.00012100223,0.00023861445,0.0003382567,0.000111445064,0.006732496],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915755,0.00019944813,0.00004689615,0.00023342832,0.00029750064,0.00006512289],"domain_scores_gemma":[0.99900395,0.0004562896,0.00009211507,0.000100785925,0.00028853974,0.00005844044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082191627,0.00054962165,0.0011719983,0.00167125,0.0012463762,0.00068927946,0.00209135,0.0011930645,0.0021036582],"category_scores_gemma":[0.0018743728,0.00039879107,0.0011971502,0.0015018665,0.0008353852,0.0016172981,0.0012999034,0.0010067377,0.00040711724],"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":[0.00022907804,0.0001830089,0.0018009183,0.00040009854,0.00027864147,0.00021563338,0.0005435453,0.5744568,0.013296121,0.17276306,0.0041688937,0.2316642],"study_design_scores_gemma":[0.000016336455,0.00004921566,0.0002334422,0.000010111257,0.00002880902,0.00007095989,0.00003748167,0.95684254,0.00266462,0.0378935,0.0021341532,0.00001877179],"about_ca_topic_score_codex":0.0051794746,"about_ca_topic_score_gemma":0.0048559816,"teacher_disagreement_score":0.0051794746,"about_ca_system_score_codex":0.00088241755,"about_ca_system_score_gemma":0.0012715419,"threshold_uncertainty_score":0.01029861},"labels":[],"label_agreement":null},{"id":"W2007799540","doi":"10.1016/s0303-2647(03)00133-3","title":"A permutation-based genetic algorithm for the RNA folding problem: a critical look at selection strategies, crossover operators, and representation issues","year":2003,"lang":"en","type":"article","venue":"Biosystems","topic":"RNA and protein synthesis mechanisms","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":"Simon Fraser University","funders":"","keywords":"Crossover; Permutation (music); RNA; Algorithm; Nucleic acid secondary structure; Computer science; Mathematics; Theoretical computer science; Computational biology; Genetics; Biology; Artificial intelligence; Gene; Physics","score_opus":0.015696263907759148,"score_gpt":0.29114057363904194,"score_spread":0.2754443097312828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007799540","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":[0.012627572,0.0002874648,0.9841973,0.00039180127,0.000044389082,0.000045659206,0.000017692122,0.0001851077,0.0022030773],"genre_scores_gemma":[0.14948587,0.00077973906,0.84623384,0.00025900902,0.00007678872,0.000191908,0.00010484589,0.00018366927,0.00268439],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995378,0.00024357275,0.000022954311,0.000052685347,0.00011000483,0.00003296342],"domain_scores_gemma":[0.99896264,0.0007524789,0.000037846432,0.000095824056,0.00012324133,0.000027956048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015626388,0.0005198647,0.00087807217,0.0005898476,0.0005255748,0.0008394803,0.0016609163,0.0014960442,0.0021488778],"category_scores_gemma":[0.0039918534,0.00034786476,0.00055750186,0.0011997838,0.0009160985,0.0017281017,0.00072300725,0.0012621183,0.00041218862],"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":[0.00010691148,0.0001106221,0.0006268783,0.0001089986,0.000051377865,0.00008027976,0.00012616535,0.57678723,0.004212093,0.09449436,0.0027017798,0.3205934],"study_design_scores_gemma":[0.000036321973,0.000080495105,0.00010640119,0.000015094913,0.000018248724,0.00008198767,0.00001611538,0.9538261,0.00077745283,0.043135628,0.0018924159,0.000013690101],"about_ca_topic_score_codex":0.0022672638,"about_ca_topic_score_gemma":0.002562679,"teacher_disagreement_score":0.0022672638,"about_ca_system_score_codex":0.0006769216,"about_ca_system_score_gemma":0.0012238323,"threshold_uncertainty_score":0.008264124},"labels":[],"label_agreement":null},{"id":"W2007924435","doi":"10.1016/j.biosystems.2006.12.009","title":"Stochastic P systems and the simulation of biochemical processes with dynamic compartments","year":2007,"lang":"en","type":"review","venue":"Biosystems","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","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 Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique","keywords":"Computer science; Biological system; Computational biology; Biology","score_opus":0.04052884215604588,"score_gpt":0.33318977295965324,"score_spread":0.29266093080360733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007924435","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":[0.0019350494,0.7828929,0.20077614,0.0020557363,0.0011201055,0.000031789285,0.00006413998,0.00024800704,0.010876088],"genre_scores_gemma":[0.034474425,0.90240306,0.054471735,0.0007412462,0.00168986,0.00012886028,0.00015072132,0.00008070432,0.0058593997],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995024,0.00015232844,0.000029542101,0.00008860218,0.00020278302,0.000024286745],"domain_scores_gemma":[0.99900526,0.0007323295,0.000047089674,0.00005567708,0.00012074089,0.000038902166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011187434,0.0014007537,0.0020682358,0.0010990965,0.0004716464,0.0014646058,0.002975969,0.0027353377,0.001818247],"category_scores_gemma":[0.0020463704,0.00076443405,0.0005878559,0.003738758,0.0034266997,0.002616068,0.0013734709,0.0029209114,0.0013643106],"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":[0.00007065127,0.00009187338,0.00031772113,0.0032778154,0.00010887554,0.00023610287,0.00012168448,0.087596335,0.00294571,0.44260737,0.01778873,0.44483715],"study_design_scores_gemma":[0.000053862073,0.00007229654,0.00022800885,0.00067729806,0.000053256346,0.00066173024,0.000045987625,0.078693174,0.003180602,0.5622702,0.35400218,0.00006146762],"about_ca_topic_score_codex":0.0021943862,"about_ca_topic_score_gemma":0.0015176168,"teacher_disagreement_score":0.002975969,"about_ca_system_score_codex":0.001468819,"about_ca_system_score_gemma":0.0015226672,"threshold_uncertainty_score":0.010657132},"labels":[],"label_agreement":null},{"id":"W2013316414","doi":"10.1016/s0303-2647(02)00162-4","title":"A context-free data compression approach to measuring information transmission by action potentials","year":2003,"lang":"en","type":"article","venue":"Biosystems","topic":"Neural dynamics and brain function","field":"Neuroscience","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":"Dalhousie University","funders":"Canadian Institutes of Health Research","keywords":"Computer science; Data compression; Coding (social sciences); Redundancy (engineering); Information theory; Neural coding; Generality; Context (archaeology); Artificial intelligence; Algorithm; Pattern recognition (psychology); Mathematics; Statistics","score_opus":0.1200449044851443,"score_gpt":0.27007569133577924,"score_spread":0.15003078685063495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013316414","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":[0.019770328,0.0004965019,0.9782217,0.00012165145,0.00006477042,0.000051122235,0.000116650815,0.0004434494,0.0007138302],"genre_scores_gemma":[0.3485818,0.0009291518,0.64842564,0.00015237034,0.0002357931,0.00015796017,0.0002706335,0.00011378192,0.0011328576],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993242,0.00010946513,0.000044267494,0.00013571545,0.0003445883,0.000041690928],"domain_scores_gemma":[0.9985587,0.0006933075,0.00011294127,0.00031228666,0.0002673446,0.00005534616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006196216,0.00091200223,0.00070990814,0.0013250735,0.000566856,0.0010297706,0.0011313079,0.0011636135,0.00091446075],"category_scores_gemma":[0.00445057,0.00033989688,0.0004480913,0.0011986924,0.000613125,0.0014229619,0.000812588,0.0011760213,0.00038247526],"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":[0.00052482105,0.00020467477,0.0018727079,0.000318577,0.00010841776,0.00043988202,0.00015240937,0.10564217,0.28554392,0.03837691,0.0015336181,0.56528187],"study_design_scores_gemma":[0.000017111683,0.00016288974,0.0020306688,0.00004067066,0.000050485003,0.00073529786,0.000030486115,0.876713,0.1006473,0.017478658,0.0020341354,0.000059377955],"about_ca_topic_score_codex":0.00091796176,"about_ca_topic_score_gemma":0.00123203,"teacher_disagreement_score":0.0013250735,"about_ca_system_score_codex":0.0003829618,"about_ca_system_score_gemma":0.00051357865,"threshold_uncertainty_score":0.0032768846},"labels":[],"label_agreement":null},{"id":"W2018299764","doi":"10.1016/j.biosystems.2014.06.008","title":"Inferring directions of evolution from patterns of variation: The legacy of Sergei Meyen","year":2014,"lang":"en","type":"article","venue":"Biosystems","topic":"Species Distribution and Climate Change","field":"Environmental Science","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":"Memorial University of Newfoundland","funders":"National Institutes of Health","keywords":"Variation (astronomy); Natural selection; Selection (genetic algorithm); Evolutionary biology; Biology; Organism; Darwin (ADL); Stabilizing selection; Directional selection; Ecology; Genetics; Computer science; Artificial intelligence","score_opus":0.01600862465089311,"score_gpt":0.21691033557222475,"score_spread":0.20090171092133163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018299764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92236793,0.008183478,0.04294357,0.0086459,0.00026806758,0.000017155286,0.00044602153,0.00013651563,0.01699131],"genre_scores_gemma":[0.9770731,0.0027974527,0.017847737,0.0005397075,0.00013417915,0.000008905853,0.00026314284,0.0000816104,0.001254173],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994968,0.00021205928,0.000013236337,0.00018719787,0.000053949403,0.00003672653],"domain_scores_gemma":[0.9977296,0.0014383364,0.0001749684,0.0003222716,0.00023388075,0.000100965975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032692046,0.0003711177,0.0005935342,0.0014361631,0.0012598537,0.0017837367,0.00066200364,0.00061866007,0.0016543013],"category_scores_gemma":[0.011597799,0.00031884926,0.00029206925,0.0016176562,0.0023583937,0.0021158806,0.0018116056,0.0012038253,0.00029018353],"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":[0.00066064345,0.000074050426,0.40765318,0.00031680398,0.0004885469,0.0014404578,0.010783562,0.037490312,0.01249059,0.068784066,0.008672221,0.45114556],"study_design_scores_gemma":[0.00007797468,0.00018964922,0.42756525,0.0006207314,0.00037661652,0.0023690795,0.0068719033,0.08048545,0.007235617,0.32268137,0.15132663,0.0001997717],"about_ca_topic_score_codex":0.0070376093,"about_ca_topic_score_gemma":0.0116847195,"teacher_disagreement_score":0.0070376093,"about_ca_system_score_codex":0.00055018696,"about_ca_system_score_gemma":0.0004903925,"threshold_uncertainty_score":0.01728946},"labels":[],"label_agreement":null},{"id":"W2018475238","doi":"10.1016/j.biosystems.2005.05.008","title":"Phenomenological and molecular-level Petri net modeling and simulation of long-term potentiation","year":2005,"lang":"en","type":"article","venue":"Biosystems","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","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":"Polytechnique Montréal","funders":"","keywords":"Petri net; Computer science; Abstraction; Scope (computer science); Term (time); Systems biology; Biological system; Modeling and simulation; Theoretical computer science; Distributed computing; Computational biology; Simulation; Programming language; Biology; Physics","score_opus":0.020383846021399105,"score_gpt":0.24989119600567242,"score_spread":0.2295073499842733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018475238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53330225,0.00058190926,0.4459967,0.0009510639,0.00014376448,0.00006285153,0.00027363887,0.00028483404,0.018402947],"genre_scores_gemma":[0.98744655,0.0002154419,0.010074609,0.000031774558,0.000019278457,0.00004619557,0.000052026528,0.000019685669,0.0020945168],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998983,0.000035878504,0.0000053177546,0.000013428429,0.000027718808,0.000019268919],"domain_scores_gemma":[0.99942565,0.0003891941,0.00004177054,0.000031664244,0.00006396725,0.000047779307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039759118,0.00030710938,0.00041079157,0.00035092304,0.0004756797,0.0006745051,0.0011997191,0.0008761178,0.0018436857],"category_scores_gemma":[0.0017486296,0.00031770318,0.00054374425,0.00039933377,0.00083490845,0.0008699449,0.00039374537,0.0007479417,0.00015283318],"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":[0.00001731955,0.000014971963,0.000374156,0.000012656446,0.000008604909,0.00006348268,0.000029567182,0.9732457,0.00096994074,0.024386577,0.00005932237,0.0008176699],"study_design_scores_gemma":[0.0000046575688,0.00000373806,0.00012209943,0.0000015297416,0.0000030975127,0.000008809699,0.0000063997186,0.9911329,0.00019672172,0.008421905,0.000095207644,0.0000029871899],"about_ca_topic_score_codex":0.010234102,"about_ca_topic_score_gemma":0.0069738994,"teacher_disagreement_score":0.010234102,"about_ca_system_score_codex":0.0011942487,"about_ca_system_score_gemma":0.0010670064,"threshold_uncertainty_score":0.020349026},"labels":[],"label_agreement":null},{"id":"W2019335189","doi":"10.1016/j.biosystems.2004.12.001","title":"Indispensable role of quantum theory in the brain dynamics","year":2005,"lang":"en","type":"article","venue":"Biosystems","topic":"Quantum Mechanics and Applications","field":"Physics and Astronomy","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 Alberta","funders":"University of Alberta","keywords":"Superposition principle; Artificial neural network; Quantum superposition; Statistical physics; Quantum; Computer science; Perspective (graphical); Physics; Theoretical physics; Artificial intelligence; Quantum mechanics","score_opus":0.0070444024094976285,"score_gpt":0.23313890868166776,"score_spread":0.22609450627217012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019335189","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":[0.048981987,0.049367994,0.65048593,0.053202678,0.0039945384,0.00009469208,0.0005885587,0.00055589224,0.19272771],"genre_scores_gemma":[0.8455285,0.01860149,0.11298815,0.0029773314,0.004780282,0.00015830419,0.0001685202,0.00016593524,0.014631604],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99921525,0.00031955706,0.000034023047,0.00014948669,0.000219625,0.000062000916],"domain_scores_gemma":[0.99673355,0.0020518894,0.00012459417,0.0004893724,0.0004041485,0.00019645393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002492097,0.00066519016,0.0012552812,0.0012616375,0.0018704676,0.0033427337,0.0013690711,0.0026424408,0.005035201],"category_scores_gemma":[0.0058369883,0.0005208364,0.00081730244,0.00082668767,0.014093789,0.007845426,0.0024850091,0.004101602,0.00096279895],"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":[0.0000071792297,0.000004926736,0.000055624303,0.0000484243,0.000006114278,0.00002725725,0.00010899979,0.00095111254,0.00038603222,0.99462056,0.00059611694,0.0031875495],"study_design_scores_gemma":[0.0000031113314,0.0000046520618,0.000053666037,0.000012654579,0.0000023008015,0.000018501069,0.000019117688,0.0017116487,0.00008284783,0.99546343,0.0026223536,0.000005800616],"about_ca_topic_score_codex":0.0013332849,"about_ca_topic_score_gemma":0.00082608836,"teacher_disagreement_score":0.005035201,"about_ca_system_score_codex":0.0013816081,"about_ca_system_score_gemma":0.0017312735,"threshold_uncertainty_score":0.016844392},"labels":[],"label_agreement":null},{"id":"W2023873427","doi":"10.1016/j.biosystems.2012.01.004","title":"Computational simulation of a gene regulatory network implementing an extendable synchronous single-input delay flip-flop","year":2012,"lang":"en","type":"article","venue":"Biosystems","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":"Concordia University","funders":"","keywords":"Modular design; Computer science; Function (biology); Finite-state machine; State (computer science); Algorithm; Biology; Genetics","score_opus":0.015228418083258097,"score_gpt":0.2603252809925863,"score_spread":0.2450968629093282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023873427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92210484,0.000072253446,0.06874029,0.0002685399,0.000049702416,0.00003359735,0.00019524028,0.0002642785,0.008271264],"genre_scores_gemma":[0.9875761,0.000035428075,0.010928936,0.000031156702,0.0000050697363,0.00003586491,0.0000742932,0.00001827846,0.0012948775],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999311,0.0000181571,0.000002244855,0.000015858048,0.0000137688185,0.000018788252],"domain_scores_gemma":[0.99931765,0.00049574394,0.000041247953,0.000034904613,0.00005734133,0.000053217085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025969621,0.0002897923,0.0004710547,0.0002913212,0.0004264194,0.00046838835,0.0008879822,0.0009120986,0.0031450836],"category_scores_gemma":[0.0013030512,0.00024226148,0.00038138768,0.0003499385,0.00062835746,0.00043428512,0.00038189796,0.0004565548,0.00011217835],"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":[0.00003334118,0.000017878,0.0003657863,0.000008777418,0.000005629501,0.00003692683,0.000014477618,0.99634606,0.0006272478,0.0017047728,0.00004589478,0.00079317944],"study_design_scores_gemma":[0.000008575736,0.000009461095,0.000057507244,6.2224115e-7,0.0000026016749,0.0000024785256,0.0000048716643,0.9993173,0.00025010714,0.0003064245,0.000038986902,0.0000011939346],"about_ca_topic_score_codex":0.01672944,"about_ca_topic_score_gemma":0.010807672,"teacher_disagreement_score":0.01672944,"about_ca_system_score_codex":0.0008503153,"about_ca_system_score_gemma":0.0010738852,"threshold_uncertainty_score":0.03326416},"labels":[],"label_agreement":null},{"id":"W2025039245","doi":"10.1016/j.biosystems.2013.09.003","title":"Development of antibiotic regimens using graph based evolutionary algorithms","year":2013,"lang":"en","type":"article","venue":"Biosystems","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","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 Guelph","funders":"","keywords":"Antibiotics; Antibiotic resistance; Evolutionary algorithm; Graph; Biology; Algorithm; Computer science; Machine learning; Microbiology; Theoretical computer science","score_opus":0.019984827383002328,"score_gpt":0.2283912552723685,"score_spread":0.20840642788936617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025039245","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":[0.038927246,0.00046739914,0.9529076,0.00048418,0.00012193138,0.00022756244,0.00017650776,0.001384918,0.0053025885],"genre_scores_gemma":[0.38529024,0.00039826316,0.610449,0.000368059,0.000064284446,0.00043783826,0.0003868933,0.00025005345,0.0023553292],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996314,0.00015268743,0.000028012511,0.00006204839,0.00008725626,0.00003866593],"domain_scores_gemma":[0.9986877,0.00087310374,0.000088311135,0.000068444126,0.00022508796,0.000057334048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008246707,0.0009479067,0.0009977131,0.0013997375,0.00048510538,0.00075404375,0.001380523,0.0011193622,0.0044273627],"category_scores_gemma":[0.003751696,0.000505685,0.0010156628,0.00065171125,0.0003713642,0.00083721004,0.00073207245,0.0010184888,0.00059084134],"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":[0.000094230476,0.00014447288,0.0011107761,0.000091924725,0.00006879291,0.00005938453,0.00003198869,0.8402378,0.0022098827,0.0040198024,0.0014601107,0.1504709],"study_design_scores_gemma":[0.000026029185,0.00005271174,0.00009973601,0.000009500685,0.000020855621,0.000018960398,0.000011908849,0.99596786,0.0006176233,0.0025449607,0.0006251975,0.0000046389714],"about_ca_topic_score_codex":0.0043417886,"about_ca_topic_score_gemma":0.0055677863,"teacher_disagreement_score":0.0044273627,"about_ca_system_score_codex":0.00071150897,"about_ca_system_score_gemma":0.0015553938,"threshold_uncertainty_score":0.014811039},"labels":[],"label_agreement":null},{"id":"W2028671607","doi":"10.1016/j.biosystems.2014.10.006","title":"Biological wires, communication systems, and implications for disease","year":2014,"lang":"en","type":"review","venue":"Biosystems","topic":"Biofield Effects and Biophysics","field":"Medicine","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":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microtubule; Actin; Morphogenesis; Cytoskeleton; Cell biology; Biology; Neuroscience; Intracellular; Actin cytoskeleton; Extracellular; Cell; Gene; Genetics","score_opus":0.11328988353737918,"score_gpt":0.3789887442034099,"score_spread":0.2656988606660307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028671607","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":[0.000053048,0.998447,0.0001367357,0.00034237283,0.00021853781,0.0000019146323,0.000008049473,0.0000032449693,0.00078905537],"genre_scores_gemma":[0.00043073835,0.99857855,0.00011625833,0.00015001977,0.00021559894,0.0000028022998,0.000008722036,6.9244606e-7,0.0004965351],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99982697,0.00003121141,0.000019632556,0.00003276325,0.00006985896,0.000019553687],"domain_scores_gemma":[0.99959916,0.00023943919,0.00004543703,0.000011377406,0.0000766183,0.00002799158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067958405,0.0010697687,0.0013224819,0.0025331299,0.00048907934,0.0015265886,0.0009763183,0.0018983353,0.003800867],"category_scores_gemma":[0.0010392223,0.000379602,0.00037987818,0.0032512285,0.0014102865,0.0022003057,0.0010916756,0.0020861388,0.001572314],"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":[0.00005881027,0.000050433988,0.0001763172,0.016105507,0.00006635349,0.00017691076,0.00012460814,0.00060046284,0.0017898341,0.026973987,0.037287287,0.9165896],"study_design_scores_gemma":[0.000007716782,0.000028999446,0.00035379332,0.0030537997,0.00004359319,0.00051643123,0.000108659035,0.000083859,0.00028173852,0.011116392,0.9843874,0.000017639548],"about_ca_topic_score_codex":0.0016923428,"about_ca_topic_score_gemma":0.003516768,"teacher_disagreement_score":0.003800867,"about_ca_system_score_codex":0.0010299991,"about_ca_system_score_gemma":0.0016209817,"threshold_uncertainty_score":0.012715161},"labels":[],"label_agreement":null},{"id":"W2033117533","doi":"10.1016/j.biosystems.2009.09.002","title":"A multi-objective differential evolutionary approach toward more stable gene regulatory networks","year":2009,"lang":"en","type":"article","venue":"Biosystems","topic":"Gene Regulatory Network Analysis","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 Calgary","funders":"","keywords":"Attractor; Gene regulatory network; Stability (learning theory); Chaotic; Computer science; Maxima and minima; Boolean network; Convergence (economics); Biological network; Differential evolution; Property (philosophy); Mathematics; Mathematical optimization; Boolean function; Artificial intelligence; Biology; Gene; Genetics; Machine learning; Algorithm","score_opus":0.011427207142275821,"score_gpt":0.22371803847108834,"score_spread":0.21229083132881252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033117533","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":[0.026037546,0.000082982006,0.97265947,0.000114937386,0.000018824165,0.000039783925,0.000030197223,0.00007162091,0.0009446682],"genre_scores_gemma":[0.4260963,0.0001509942,0.5695341,0.00017972966,0.0000543954,0.0004413844,0.00018383695,0.00014379153,0.0032153782],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950373,0.00023319096,0.000026043761,0.00011312052,0.00008942129,0.00003447603],"domain_scores_gemma":[0.99881846,0.00082751503,0.00008231238,0.00006094734,0.00016348803,0.00004734508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019254339,0.0011259763,0.0014072158,0.0012228581,0.00060465955,0.0008282895,0.0016475329,0.0012263731,0.0019598354],"category_scores_gemma":[0.0033202956,0.0007099163,0.001233694,0.0008740425,0.0006811747,0.0010126695,0.0013497479,0.001095128,0.00022383791],"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":[0.000028125232,0.000035739173,0.00029111336,0.00003703563,0.000052578085,0.000035418863,0.000040109768,0.9702009,0.001871166,0.007708799,0.00013552057,0.019563435],"study_design_scores_gemma":[0.000003644325,0.000008835519,0.000027445878,0.0000010803233,0.000004854609,0.00000372706,0.000002257168,0.99848723,0.00014298274,0.0012580603,0.000058400525,0.0000013984461],"about_ca_topic_score_codex":0.0030157233,"about_ca_topic_score_gemma":0.0033311222,"teacher_disagreement_score":0.0030157233,"about_ca_system_score_codex":0.0011199446,"about_ca_system_score_gemma":0.00087158737,"threshold_uncertainty_score":0.010182798},"labels":[],"label_agreement":null},{"id":"W2038173657","doi":"10.1016/j.biosystems.2012.05.010","title":"A biochemically semi-detailed model of auxin-mediated vein formation in plant leaves","year":2012,"lang":"en","type":"article","venue":"Biosystems","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","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 Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Ingenuity","keywords":"Auxin; Multicellular organism; Cell biology; Plant cell; Extracellular; Biology; Cell; Biological system; Chemistry; Computational biology; Biochemistry; Gene","score_opus":0.03404621618134662,"score_gpt":0.22877306968459782,"score_spread":0.1947268535032512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038173657","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":[0.4103631,0.0015266755,0.52474856,0.0013687146,0.00017971967,0.00018107447,0.0018952389,0.0010864417,0.058650456],"genre_scores_gemma":[0.94869417,0.00083808263,0.033203408,0.00011358106,0.000035665704,0.00021248045,0.00042041874,0.00014271196,0.016339444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999229,0.000013374747,0.000004226223,0.00001963957,0.000023943621,0.000016035146],"domain_scores_gemma":[0.9999014,0.000034710796,0.000013198085,0.000017324483,0.000014488184,0.000018731875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016662895,0.0005118979,0.0006509827,0.0002866359,0.00056137383,0.00086570176,0.0012838764,0.0012170225,0.0038240908],"category_scores_gemma":[0.00027105535,0.00055253867,0.0010363903,0.00029000762,0.00064808415,0.0010046173,0.00038501262,0.000712949,0.0010317203],"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":[0.00008502207,0.00007416329,0.000453146,0.00015518165,0.000028240418,0.00026007672,0.00009710186,0.8042516,0.076872595,0.11430781,0.00038571906,0.0030294193],"study_design_scores_gemma":[0.000027663455,0.000022334627,0.00037373597,0.000004880571,0.000008825327,0.00006611702,0.000016365782,0.9738801,0.004136531,0.020578807,0.00086718437,0.00001757759],"about_ca_topic_score_codex":0.00477765,"about_ca_topic_score_gemma":0.0028710603,"teacher_disagreement_score":0.00477765,"about_ca_system_score_codex":0.001137877,"about_ca_system_score_gemma":0.0010464331,"threshold_uncertainty_score":0.012792826},"labels":[],"label_agreement":null},{"id":"W2039086233","doi":"10.1016/s0303-2647(99)00091-x","title":"Computational dynamics of gradient bistable networks","year":2000,"lang":"en","type":"article","venue":"Biosystems","topic":"Neural Networks and Applications","field":"Computer 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 Toronto","funders":"","keywords":"Bistability; Spurious relationship; Attractor; Computer science; Artificial neural network; Memorization; Computation; Value (mathematics); Dynamics (music); Artificial intelligence; Algorithm; Mathematics; Machine learning; Physics","score_opus":0.008572044566254341,"score_gpt":0.21292009994388494,"score_spread":0.2043480553776306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039086233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5867388,0.0012577287,0.35410234,0.003789493,0.00029921302,0.00004410916,0.0002491494,0.0004632568,0.053055853],"genre_scores_gemma":[0.98837566,0.0002673066,0.0072495937,0.000080428494,0.000033471006,0.000027220844,0.000042484935,0.000035170666,0.003888691],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999229,0.00002528567,0.0000026021244,0.000013407185,0.000021178246,0.000014609178],"domain_scores_gemma":[0.9995753,0.00023715661,0.000048370694,0.000029433564,0.00004822565,0.00006145777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002620134,0.00019909788,0.00035761323,0.00038570346,0.0003300155,0.0009611108,0.0006962323,0.000734729,0.004383481],"category_scores_gemma":[0.0021173318,0.0002109637,0.00020599738,0.00023735833,0.0008442815,0.0014091651,0.00064101,0.0006276491,0.00025382417],"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":[0.000071472896,0.000030358806,0.00083798217,0.00004135323,0.000024722476,0.00008224252,0.00009253647,0.47361624,0.004315624,0.5075347,0.001701968,0.011650752],"study_design_scores_gemma":[0.000007585434,0.0000058995925,0.0001601888,0.0000032392093,0.000002331529,0.0000131217885,0.0000122654965,0.89134365,0.00026308306,0.10780383,0.0003791271,0.0000056361237],"about_ca_topic_score_codex":0.0020452042,"about_ca_topic_score_gemma":0.0015688272,"teacher_disagreement_score":0.004383481,"about_ca_system_score_codex":0.0006379772,"about_ca_system_score_gemma":0.00035983027,"threshold_uncertainty_score":0.014664173},"labels":[],"label_agreement":null},{"id":"W2042391955","doi":"10.1016/j.biosystems.2014.03.002","title":"Time rescaling and pattern formation in biological evolution","year":2014,"lang":"en","type":"article","venue":"Biosystems","topic":"Origins and Evolution of Life","field":"Physics and Astronomy","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":"Memorial University of Newfoundland","funders":"","keywords":"Precondition; Interpretation (philosophy); Process (computing); Biological evolution; Morphology (biology); Heterochrony; Computer science; Evolutionary biology; Biological system; Statistical physics; Biology; Paleontology; Physics","score_opus":0.011441948010974257,"score_gpt":0.2173143940208559,"score_spread":0.20587244600988164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042391955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84595746,0.0035294725,0.1204324,0.0020952395,0.00018317884,0.000019734453,0.000104635175,0.00029391088,0.027384078],"genre_scores_gemma":[0.9903204,0.00051792903,0.006270559,0.000050710867,0.000062431376,0.000008889606,0.000026442749,0.000053032996,0.0026896624],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999767,0.000069553505,0.000015611102,0.00008073612,0.000040187435,0.000026950938],"domain_scores_gemma":[0.9980964,0.000994664,0.00028717646,0.0003196086,0.00017014075,0.00013191892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069719576,0.00013777768,0.0002996849,0.0006760039,0.00045040893,0.0015735616,0.00060846115,0.0005709757,0.0031261707],"category_scores_gemma":[0.005965325,0.00022942052,0.00034173214,0.0007231116,0.0025755616,0.0020323948,0.00055995904,0.0006643492,0.00029313855],"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":[0.00007449866,0.000032397784,0.010582398,0.000113467606,0.000053198288,0.00019237521,0.0011477842,0.04634941,0.020595307,0.85297316,0.0011422011,0.06674372],"study_design_scores_gemma":[0.000016843664,0.00003153853,0.013734026,0.0000104741675,0.000015240552,0.00017190927,0.0002997319,0.044174973,0.0022120632,0.93577665,0.0035269524,0.000029582305],"about_ca_topic_score_codex":0.0018754997,"about_ca_topic_score_gemma":0.0012139487,"teacher_disagreement_score":0.0031261707,"about_ca_system_score_codex":0.0009311514,"about_ca_system_score_gemma":0.00027258074,"threshold_uncertainty_score":0.010458112},"labels":[],"label_agreement":null},{"id":"W2044173795","doi":"10.1016/s0303-2647(01)00126-5","title":"Studies into abstract properties of individuals. VI. The degree of emergence in individuals, populations, species and a three species lineage","year":2001,"lang":"en","type":"article","venue":"Biosystems","topic":"Sustainability and Ecological Systems Analysis","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":"University of British Columbia","funders":"","keywords":"Biology; Lineage (genetic); Phylogenetic tree; Population; Degree (music); Ecology; Ontogeny; Variation (astronomy); Evolutionary biology; Zoology; Demography","score_opus":0.14739174013368514,"score_gpt":0.27988545922032915,"score_spread":0.132493719086644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044173795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90643185,0.004257092,0.044872716,0.0014010941,0.00008476595,0.000053538715,0.00047787282,0.000060271595,0.042360887],"genre_scores_gemma":[0.98894393,0.0011317118,0.0061730845,0.00006949832,0.000049061706,0.000023251596,0.00015125508,0.000019413914,0.0034387335],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993218,0.00023722788,0.000064982465,0.00013866666,0.00012890047,0.00010849623],"domain_scores_gemma":[0.98849773,0.006863676,0.0015403808,0.0012170386,0.0013469995,0.0005342386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016443289,0.00018996776,0.00021709024,0.0016317695,0.0006401473,0.0008857986,0.0003427011,0.00029117538,0.003229496],"category_scores_gemma":[0.011565686,0.00011654022,0.0005037243,0.0012669807,0.0018917469,0.0017176339,0.00073694525,0.0005745715,0.00059327856],"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":[0.000448764,0.00016772203,0.3954432,0.0011083547,0.00047613718,0.00047008446,0.00549635,0.022904644,0.039092325,0.32035282,0.004548481,0.20949107],"study_design_scores_gemma":[0.000017915789,0.0006188453,0.6931209,0.00023779483,0.00021069984,0.0017328251,0.0026646783,0.013710416,0.01448268,0.24705224,0.026087249,0.00006374807],"about_ca_topic_score_codex":0.0010779888,"about_ca_topic_score_gemma":0.0019971204,"teacher_disagreement_score":0.003229496,"about_ca_system_score_codex":0.00048510448,"about_ca_system_score_gemma":0.00032051638,"threshold_uncertainty_score":0.010803759},"labels":[],"label_agreement":null},{"id":"W2047550343","doi":"10.1016/j.biosystems.2014.09.006","title":"Patterns of evolution","year":2014,"lang":"en","type":"editorial","venue":"Biosystems","topic":"Origins and Evolution of Life","field":"Physics and Astronomy","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":"Memorial University of Newfoundland","funders":"","keywords":"Evolutionary biology; Computer science; Biology","score_opus":0.00516064345813649,"score_gpt":0.23161125072904062,"score_spread":0.22645060727090413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047550343","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016321785,0.030792823,0.0007115712,0.17036375,0.78790885,0.000010467696,0.000083536375,0.00007447124,0.009891283],"genre_scores_gemma":[0.0069763623,0.03624989,0.0008603332,0.04602027,0.8635342,0.000041880052,0.00008826609,0.00010121649,0.046127506],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969229,0.000854573,0.00024991843,0.00041381514,0.001368558,0.00019022149],"domain_scores_gemma":[0.9909684,0.004965035,0.00043432612,0.0005440967,0.0024857833,0.0006023808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043074195,0.001220933,0.0011157374,0.0027489446,0.002677599,0.009985498,0.002212999,0.0072207386,0.0096124895],"category_scores_gemma":[0.021942422,0.0008166715,0.0008070547,0.0014764569,0.008448151,0.007629896,0.0026294373,0.014044347,0.0033905776],"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":[0.000013352612,0.0000053167955,0.00006431774,0.00020895008,0.000020453814,0.000045694134,0.00014942477,0.000052857464,0.000064584805,0.022088131,0.96224684,0.015039996],"study_design_scores_gemma":[0.000008449442,0.000005086249,0.00024256426,0.00023041517,0.00001356562,0.00006582796,0.00014062073,0.00008126056,0.000052103656,0.0215756,0.9775729,0.000011592362],"about_ca_topic_score_codex":0.003026285,"about_ca_topic_score_gemma":0.009943443,"teacher_disagreement_score":0.009985498,"about_ca_system_score_codex":0.0033089484,"about_ca_system_score_gemma":0.003296556,"threshold_uncertainty_score":0.032157004},"labels":[],"label_agreement":null},{"id":"W2047598795","doi":"10.1016/j.biosystems.2010.09.008","title":"Modeling gonorrhea and HIV co-interaction","year":2010,"lang":"en","type":"article","venue":"Biosystems","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","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":"","keywords":"Gonorrhea; Human immunodeficiency virus (HIV); Competitive exclusion; Medicine; Biology; Immunology","score_opus":0.03137875281329493,"score_gpt":0.3160879632593829,"score_spread":0.28470921044608793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047598795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7019944,0.0022941998,0.24593669,0.013619418,0.00047660415,0.00017105712,0.0012183142,0.00033606606,0.03395322],"genre_scores_gemma":[0.97233856,0.0010894602,0.0075107906,0.00042311562,0.000183564,0.00015984372,0.00017017906,0.000040896877,0.018083502],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998701,0.0007953151,0.000029799307,0.00017465306,0.000098971235,0.00020034844],"domain_scores_gemma":[0.9943153,0.004320445,0.0006093678,0.00015149238,0.00023883428,0.00036445237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015428668,0.0008952653,0.0013869803,0.0012407133,0.0009901418,0.002417827,0.0019243135,0.0035616744,0.006982977],"category_scores_gemma":[0.010013562,0.00088021025,0.0010932335,0.0014758159,0.0014237915,0.002724709,0.0020041885,0.001854713,0.000738209],"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":[0.00009364602,0.00023642641,0.013225452,0.00007553868,0.00019738272,0.00033411288,0.00033792798,0.8638587,0.00040614017,0.111546695,0.0014241961,0.00826376],"study_design_scores_gemma":[0.00003460637,0.00006297371,0.0015094455,0.000011574153,0.00006746912,0.000105929335,0.00018806019,0.940168,0.000070240196,0.056620367,0.0011401523,0.000021119478],"about_ca_topic_score_codex":0.032200206,"about_ca_topic_score_gemma":0.020253107,"teacher_disagreement_score":0.032200206,"about_ca_system_score_codex":0.0022117188,"about_ca_system_score_gemma":0.002677817,"threshold_uncertainty_score":0.06402558},"labels":[],"label_agreement":null},{"id":"W2047998870","doi":"10.1016/j.biosystems.2014.11.005","title":"CytoNCA: A cytoscape plugin for centrality analysis and evaluation of protein interaction networks","year":2014,"lang":"en","type":"article","venue":"Biosystems","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1313,"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":"Program for New Century Excellent Talents in University; National Natural Science Foundation of China","keywords":"Plug-in; Centrality; Computer science; Computational biology; Protein Interaction Networks; Data science; Data mining; Protein–protein interaction; Biology; Programming language; Mathematics; Statistics; Genetics","score_opus":0.01507224541930303,"score_gpt":0.26925704632518715,"score_spread":0.25418480090588413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047998870","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034812823,0.0009626314,0.56977904,0.0005048633,0.0004416336,0.0006120314,0.07892562,0.30503234,0.008929164],"genre_scores_gemma":[0.19281437,0.0011830975,0.64695835,0.00047582918,0.00023947103,0.0026087777,0.10061621,0.040786874,0.014317066],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933773,0.00012371055,0.000037780246,0.00014352948,0.0002973061,0.00005990735],"domain_scores_gemma":[0.9977393,0.0013618593,0.00013220076,0.0002813068,0.0003246677,0.00016061735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012733672,0.0016413407,0.00096391834,0.004032162,0.0011751569,0.0019214263,0.002252279,0.0007435934,0.021307448],"category_scores_gemma":[0.0056942836,0.00079463876,0.0013601512,0.0021038163,0.00035902899,0.0015819239,0.0015928092,0.0021283561,0.0051975003],"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":[0.0008565329,0.0004307604,0.01655982,0.004681118,0.0018023599,0.0009607646,0.001095024,0.06496885,0.06302808,0.047345016,0.46877843,0.32949322],"study_design_scores_gemma":[0.00030871652,0.00012740133,0.01156691,0.00026427262,0.0003849165,0.00091847125,0.0001932619,0.6499737,0.055756483,0.05896229,0.22123615,0.00030739157],"about_ca_topic_score_codex":0.0073252744,"about_ca_topic_score_gemma":0.0171168,"teacher_disagreement_score":0.021307448,"about_ca_system_score_codex":0.00080635987,"about_ca_system_score_gemma":0.002095778,"threshold_uncertainty_score":0.07128048},"labels":[],"label_agreement":null},{"id":"W2048254865","doi":"10.1016/j.biosystems.2006.07.001","title":"Getting into shape: Optimal ligand gradients for axonal guidance","year":2006,"lang":"en","type":"article","venue":"Biosystems","topic":"Axon Guidance and Neuronal Signaling","field":"Neuroscience","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":"McGill University; Université de Montréal","funders":"","keywords":"Computer science; Neuroscience; Artificial intelligence; Biophysics; Biological system; Computer vision; Biology","score_opus":0.03132356778729568,"score_gpt":0.2712448167885082,"score_spread":0.23992124900121253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048254865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6475069,0.005899961,0.3073062,0.0046860124,0.00044535074,0.000052244566,0.00021903033,0.0009046077,0.03297961],"genre_scores_gemma":[0.960521,0.0019623637,0.032370932,0.00038271517,0.00006381147,0.00003324096,0.00007962351,0.00023527724,0.0043510483],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981004,0.0000207487,0.0000068148306,0.000036641744,0.00007577871,0.000050049905],"domain_scores_gemma":[0.9996846,0.0000766965,0.00005963817,0.000030398909,0.00005522056,0.00009362925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027044385,0.00045221564,0.00048538684,0.00041217016,0.0009940492,0.0024057569,0.0005479293,0.0011041263,0.00293581],"category_scores_gemma":[0.001339422,0.00048531307,0.00022264337,0.00035610035,0.0012372194,0.002126355,0.001135873,0.0011299078,0.001229585],"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":[0.00028890834,0.000093519564,0.00078450976,0.00021457388,0.00001450351,0.0002320763,0.000207987,0.033568364,0.69216216,0.18688235,0.004076332,0.08147484],"study_design_scores_gemma":[0.00015788549,0.000375798,0.002123266,0.000062142266,0.000042492964,0.0008228118,0.000639917,0.20746188,0.45075625,0.30967718,0.027719025,0.0001613718],"about_ca_topic_score_codex":0.00057792786,"about_ca_topic_score_gemma":0.0014401075,"teacher_disagreement_score":0.00293581,"about_ca_system_score_codex":0.0008760022,"about_ca_system_score_gemma":0.0007212483,"threshold_uncertainty_score":0.009821236},"labels":[],"label_agreement":null},{"id":"W2052073149","doi":"10.1016/j.biosystems.2011.09.005","title":"An investigation of the plausibility of stochastic resonance in tubulin dimers","year":2011,"lang":"en","type":"article","venue":"Biosystems","topic":"stochastic dynamics and bifurcation","field":"Physics and Astronomy","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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tubulin; Dimer; Delocalized electron; Formalism (music); Microtubule; Resonance (particle physics); Dipole; Physics; Statistical physics; Stochastic resonance; Biophysics; Biological system; Function (biology); Noise (video); Nuclear magnetic resonance; Chemistry; Quantum mechanics; Computer science; Biology; Cell biology","score_opus":0.019211134628344936,"score_gpt":0.22768731482903895,"score_spread":0.20847618020069403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052073149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94472295,0.00047147545,0.040175263,0.002033197,0.00008627152,0.0000152584125,0.000041963016,0.00008622282,0.012367421],"genre_scores_gemma":[0.99849355,0.00008950334,0.0010382079,0.000033007396,0.000014246023,0.000003613378,0.000010564265,0.000004230103,0.0003130266],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998425,0.000045193126,0.000007027725,0.000027712664,0.000054986423,0.000022589918],"domain_scores_gemma":[0.9982836,0.0012776741,0.000112157315,0.00017661674,0.0000668259,0.0000831668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006308645,0.00015186422,0.00034915886,0.00044504445,0.0007322455,0.0008342309,0.0008025732,0.0011968048,0.0018985891],"category_scores_gemma":[0.004259058,0.00021863508,0.00026275887,0.00025812205,0.0014266832,0.0012354243,0.0007211311,0.00072515744,0.00013015959],"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":[0.00037154122,0.00012550206,0.0053355927,0.00014618624,0.00005271299,0.0013768281,0.00054532406,0.10078779,0.114283144,0.7644372,0.00089047983,0.011647806],"study_design_scores_gemma":[0.000049363898,0.00014035,0.002412044,0.00001586601,0.000021873619,0.0003234464,0.00020634463,0.631132,0.014698701,0.34949875,0.0014692368,0.000032090713],"about_ca_topic_score_codex":0.00024221091,"about_ca_topic_score_gemma":0.00018650155,"teacher_disagreement_score":0.0018985891,"about_ca_system_score_codex":0.00041464466,"about_ca_system_score_gemma":0.00026926034,"threshold_uncertainty_score":0.0063514113},"labels":[],"label_agreement":null},{"id":"W2058420793","doi":"10.1016/s0303-2647(02)00103-x","title":"A search for conceptual congruence between individuals and species","year":2003,"lang":"en","type":"article","venue":"Biosystems","topic":"Species Distribution and Climate Change","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":"Bishop's University; University of British Columbia","funders":"","keywords":"Categorical variable; Salient; Congruence (geometry); Argument (complex analysis); Epistemology; Ecology; Psychology; Cognitive psychology; Biology; Computer science; Social psychology; Artificial intelligence","score_opus":0.06993276526000143,"score_gpt":0.27733721485630886,"score_spread":0.20740444959630744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058420793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5909387,0.004511726,0.21270257,0.029390218,0.0005759954,0.00016061413,0.0004735606,0.00012596871,0.16112074],"genre_scores_gemma":[0.9893416,0.0003220849,0.00916053,0.00038528486,0.000091235976,0.00005204501,0.00010703975,0.00002099304,0.00051904365],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99462056,0.0028943694,0.0002810159,0.0011732704,0.00084374385,0.00018703708],"domain_scores_gemma":[0.97093755,0.015918043,0.0042587193,0.00401462,0.0038652099,0.0010059533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008710351,0.0003221271,0.00051360216,0.004148323,0.0027345899,0.005128021,0.0024110714,0.001335876,0.0088818045],"category_scores_gemma":[0.05291487,0.00037054112,0.0005915862,0.003945401,0.014496711,0.011880826,0.0037416879,0.0025032966,0.0005527984],"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":[0.000089245885,0.000027213524,0.0116533935,0.00018160448,0.00004775471,0.00013495133,0.016503926,0.00040593496,0.0005715463,0.9419614,0.000731317,0.02769175],"study_design_scores_gemma":[0.00004495495,0.00007204983,0.01219988,0.00023677165,0.000070381866,0.0004932557,0.02578872,0.0038033675,0.00040891784,0.9386018,0.018253965,0.000025950381],"about_ca_topic_score_codex":0.0019252698,"about_ca_topic_score_gemma":0.0020334881,"teacher_disagreement_score":0.0088818045,"about_ca_system_score_codex":0.0022444585,"about_ca_system_score_gemma":0.0017551291,"threshold_uncertainty_score":0.04606533},"labels":[],"label_agreement":null},{"id":"W2060734970","doi":"10.1016/j.biosystems.2010.07.001","title":"Theoretical justification of computing the 3-base periodicity using nucleotide distribution variance","year":2010,"lang":"en","type":"article","venue":"Biosystems","topic":"Fractal and DNA sequence analysis","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 Guelph","funders":"","keywords":"Variance (accounting); Mathematics; Coding (social sciences); Sequence (biology); Spectral density; Base (topology); Algorithm; Computer science; Statistics; Mathematical analysis; Biology","score_opus":0.009682344990756996,"score_gpt":0.2487040936803499,"score_spread":0.23902174868959292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060734970","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":[0.04679836,0.00030286392,0.9400254,0.0009481464,0.00012876246,0.000020014024,0.00007576011,0.0002349887,0.011465703],"genre_scores_gemma":[0.75746477,0.00036697355,0.23758759,0.00030703514,0.00036311176,0.00013679388,0.00013569464,0.0002561622,0.0033818425],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992962,0.00026224347,0.00003096442,0.00009319936,0.00023956552,0.00007780462],"domain_scores_gemma":[0.993385,0.005140271,0.00020789767,0.0006177377,0.00047495533,0.00017409092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023181194,0.00046922537,0.0009786693,0.0017582874,0.001179433,0.0017169293,0.0022663602,0.00174061,0.0035031075],"category_scores_gemma":[0.012844083,0.000580345,0.0007975351,0.0010237494,0.0030064431,0.0031205527,0.0017689209,0.0018337545,0.00046318935],"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":[0.000017050234,0.000012021763,0.00035348162,0.000024037667,0.0000075564685,0.00006482814,0.00004214624,0.065797284,0.0006278981,0.92767966,0.00050999195,0.0048641614],"study_design_scores_gemma":[0.000007243329,0.0000065165013,0.00013617073,0.000010559556,0.00000316713,0.00003186813,0.00000992657,0.56932586,0.00030422723,0.42975053,0.00040330202,0.00001061352],"about_ca_topic_score_codex":0.0017549401,"about_ca_topic_score_gemma":0.0013244451,"teacher_disagreement_score":0.0035031075,"about_ca_system_score_codex":0.0012985497,"about_ca_system_score_gemma":0.0012371688,"threshold_uncertainty_score":0.012259483},"labels":[],"label_agreement":null},{"id":"W2061163987","doi":"10.1016/j.biosystems.2010.11.004","title":"The single-process biochemical reaction of Rubisco: A unified theory and model with the effects of irradiance, CO2 and rate-limiting step on the kinetics of C3 and C4 photosynthesis from gas exchange","year":2010,"lang":"en","type":"article","venue":"Biosystems","topic":"Photosynthetic Processes and Mechanisms","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 Guelph","funders":"","keywords":"RuBisCO; Photosynthesis; Carboxylation; Chemistry; Kinetics; Biochemistry; Biophysics; Biology; Physics","score_opus":0.007296963344910317,"score_gpt":0.20488508573585634,"score_spread":0.19758812239094603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061163987","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":[0.021024223,0.02759764,0.9133259,0.00276123,0.0010442341,0.00015468762,0.00068216305,0.00053941313,0.03287047],"genre_scores_gemma":[0.6319169,0.048091862,0.25079024,0.0013901215,0.0025740275,0.0013393143,0.0012657574,0.00045168787,0.062180117],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974793,0.000048677968,0.0000127514395,0.00008678548,0.00007585803,0.000027941707],"domain_scores_gemma":[0.9998349,0.00005516369,0.000028798644,0.000019233787,0.00003892757,0.000022829427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061748107,0.0013579613,0.0012386669,0.00073651946,0.0006729757,0.0017608468,0.003567355,0.0018693907,0.0014400396],"category_scores_gemma":[0.00054855295,0.00048540306,0.001666591,0.001064807,0.0017731232,0.0034892305,0.0012948705,0.001949354,0.0009667423],"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":[0.00008048924,0.000089312605,0.00080997887,0.00063675543,0.000087045555,0.00028492813,0.000306669,0.26291513,0.010419163,0.69759095,0.004651428,0.022128155],"study_design_scores_gemma":[0.00003974734,0.000105896615,0.0006237444,0.00007847115,0.00007037322,0.00016692463,0.000048122358,0.5889007,0.0013993786,0.37486905,0.03361859,0.00007899209],"about_ca_topic_score_codex":0.0044373213,"about_ca_topic_score_gemma":0.0016938816,"teacher_disagreement_score":0.0044373213,"about_ca_system_score_codex":0.001132501,"about_ca_system_score_gemma":0.0015117791,"threshold_uncertainty_score":0.008822978},"labels":[],"label_agreement":null},{"id":"W2062590033","doi":"10.1016/j.biosystems.2011.07.007","title":"Evaluation of intermolecular forces in a circulating system","year":2011,"lang":"en","type":"article","venue":"Biosystems","topic":"Force Microscopy Techniques and Applications","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":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"DLVO theory; van der Waals force; Intermolecular force; Chemistry; Chemical physics; Nanotechnology; Molecule; Materials science; Colloid; Physical chemistry","score_opus":0.0449543584615479,"score_gpt":0.29111763888363795,"score_spread":0.24616328042209007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062590033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9841285,0.00014043099,0.014364775,0.000049431117,0.000017735718,0.000021632659,0.00002044747,0.000046701465,0.0012103167],"genre_scores_gemma":[0.99375075,0.0000581475,0.0052687577,0.000010964012,0.000004047013,0.000012127436,0.000023981132,0.000008689019,0.00086250156],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999716,0.000037289094,0.000007657725,0.000048382808,0.00013340716,0.00005734499],"domain_scores_gemma":[0.9995054,0.00020804735,0.000043310676,0.000041356474,0.00011148096,0.000090379355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052130624,0.00018409327,0.00032744132,0.00029312653,0.000803722,0.0006309718,0.00048046318,0.0003994215,0.0016128755],"category_scores_gemma":[0.0010121169,0.00011867226,0.00010618365,0.00022425786,0.0005931287,0.00077673997,0.00043655137,0.0004559765,0.00015803758],"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":[0.00042961046,0.00022239827,0.0022571944,0.00006568289,0.000016299606,0.00019611705,0.00022474983,0.011110767,0.9651348,0.004476232,0.00022609645,0.01564005],"study_design_scores_gemma":[0.00006861853,0.001269357,0.005205714,0.000009819177,0.000025242483,0.00015660556,0.00026175973,0.34986582,0.6397355,0.0013379903,0.0020243754,0.000039179482],"about_ca_topic_score_codex":0.0012698228,"about_ca_topic_score_gemma":0.00095717306,"teacher_disagreement_score":0.0016128755,"about_ca_system_score_codex":0.00043738776,"about_ca_system_score_gemma":0.00051747984,"threshold_uncertainty_score":0.0053955913},"labels":[],"label_agreement":null},{"id":"W2064580229","doi":"10.1016/j.biosystems.2007.01.004","title":"Mathematical modeling of laser based potato cutting and peeling","year":2007,"lang":"en","type":"article","venue":"Biosystems","topic":"Laser Material Processing Techniques","field":"Engineering","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 Guelph","funders":"","keywords":"Computer science; Biological system; Mathematics; Biology","score_opus":0.013539590429343662,"score_gpt":0.22749818749213693,"score_spread":0.21395859706279327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064580229","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":[0.08742822,0.0016761,0.84219646,0.001012076,0.00017444922,0.00009934784,0.00032278465,0.00021114878,0.06687939],"genre_scores_gemma":[0.8725041,0.0020151455,0.053704735,0.0002183334,0.00006831767,0.00030672332,0.00021966062,0.00014057207,0.07082241],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979943,0.000034643337,0.000008865129,0.00003822035,0.000090634276,0.000028272289],"domain_scores_gemma":[0.99955136,0.0002140544,0.00006703901,0.00002860874,0.00010661884,0.000032177883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043092357,0.00045402432,0.0007498618,0.0007530977,0.00073279033,0.001749861,0.0018437491,0.0022216644,0.0046497355],"category_scores_gemma":[0.0013325651,0.00066033384,0.00075762643,0.0008218842,0.0010259559,0.0015455907,0.0008198622,0.0009947551,0.00087617204],"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":[0.000012835141,0.000028790495,0.00015125259,0.00004625551,0.000008320487,0.00006855642,0.000058143254,0.9303877,0.00237227,0.063691,0.0003281539,0.00284679],"study_design_scores_gemma":[0.0000028607726,0.000005926584,0.00005945535,0.0000034202149,0.0000027856076,0.000022390383,0.000011135282,0.99347705,0.00028306,0.005587593,0.0005383012,0.0000061009673],"about_ca_topic_score_codex":0.010114124,"about_ca_topic_score_gemma":0.006123315,"teacher_disagreement_score":0.010114124,"about_ca_system_score_codex":0.0014844708,"about_ca_system_score_gemma":0.0015087418,"threshold_uncertainty_score":0.020110548},"labels":[],"label_agreement":null},{"id":"W2066509088","doi":"10.1016/j.biosystems.2011.11.011","title":"Optimal control of drug therapy: Melding pharmacokinetics with viral dynamics","year":2011,"lang":"en","type":"article","venue":"Biosystems","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","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":"York University","funders":"","keywords":"Pharmacokinetics; Drug; Regimen; Dose; Drug administration; Therapeutic window; Pharmacology; Medicine; Biology; Internal medicine","score_opus":0.027853978344271627,"score_gpt":0.26730785518642286,"score_spread":0.23945387684215125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066509088","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":[0.046787187,0.003284033,0.92492795,0.009797264,0.00041964298,0.000047775397,0.00010461301,0.00010579601,0.014525715],"genre_scores_gemma":[0.93041533,0.003726121,0.053051326,0.001136321,0.0006788195,0.00013972355,0.000045658286,0.000065984554,0.01074068],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99778384,0.0014305403,0.00006759215,0.0002548805,0.00031703783,0.00014624525],"domain_scores_gemma":[0.99486613,0.003822038,0.0006493116,0.00020288954,0.00026767884,0.00019192314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003071044,0.0012533756,0.0018471393,0.0006933629,0.0006099685,0.0026821576,0.0014479148,0.0025964205,0.002464683],"category_scores_gemma":[0.013140012,0.0009113572,0.0010215504,0.00051570864,0.0030123303,0.004015117,0.001977667,0.0025195794,0.0002316387],"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":[0.000070147704,0.00008153411,0.0008251948,0.00014247192,0.00008591062,0.00009475212,0.00010482225,0.6145041,0.0012185661,0.3681478,0.0010221234,0.013702464],"study_design_scores_gemma":[0.000020919124,0.00008124045,0.00027898644,0.000027400525,0.000021503738,0.000037941536,0.000030729334,0.8089928,0.00019980967,0.18911675,0.0011692723,0.000022664159],"about_ca_topic_score_codex":0.0050653904,"about_ca_topic_score_gemma":0.0034281458,"teacher_disagreement_score":0.0050653904,"about_ca_system_score_codex":0.0021847694,"about_ca_system_score_gemma":0.0021921094,"threshold_uncertainty_score":0.016241431},"labels":[],"label_agreement":null},{"id":"W2068043729","doi":"10.1016/j.biosystems.2005.06.007","title":"Role of nutrient bound of prey on the dynamics of predator-mediated competitive-coexistence","year":2005,"lang":"en","type":"article","venue":"Biosystems","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":"University of Toronto","keywords":"Predator; Predation; Competition (biology); Dynamics (music); Ecology; Stability (learning theory); Biology; Nutrient; Computer science; Physics","score_opus":0.019907255092501467,"score_gpt":0.2623699690015633,"score_spread":0.24246271390906182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068043729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9416314,0.0013624761,0.035792682,0.0023901714,0.00011767506,0.000016697037,0.0001362135,0.000080799706,0.01847195],"genre_scores_gemma":[0.9971521,0.0003462873,0.0008542853,0.0000508052,0.00002041759,0.0000051113825,0.000011306234,0.000010832299,0.0015486956],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997471,0.0001119198,0.000009537791,0.000041283827,0.00003616874,0.0000540581],"domain_scores_gemma":[0.9962482,0.0026928177,0.00033842723,0.00014457549,0.00021391013,0.00036204522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001251929,0.00037454683,0.0008480234,0.00073812355,0.001054797,0.0024934937,0.0012647941,0.0014146813,0.0047333087],"category_scores_gemma":[0.008233251,0.00041817455,0.000385109,0.00028131384,0.002051137,0.0030686317,0.0012623192,0.00079967163,0.00031293728],"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":[0.00045338325,0.00022009254,0.013711451,0.00035286444,0.00014645925,0.0011262458,0.00093624473,0.16355984,0.030742977,0.77237815,0.0020652073,0.014307145],"study_design_scores_gemma":[0.00005923868,0.00012747993,0.008652619,0.00006518269,0.00010595341,0.0004983212,0.000571311,0.70570374,0.0018190244,0.28107724,0.0012227912,0.0000971021],"about_ca_topic_score_codex":0.0028277442,"about_ca_topic_score_gemma":0.0027938758,"teacher_disagreement_score":0.0047333087,"about_ca_system_score_codex":0.0012013826,"about_ca_system_score_gemma":0.0007775383,"threshold_uncertainty_score":0.01583445},"labels":[],"label_agreement":null},{"id":"W2068211838","doi":"10.1016/j.biosystems.2012.10.005","title":"Self-organization and entropy reduction in a living cell","year":2012,"lang":"en","type":"article","venue":"Biosystems","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":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Cancer Institute; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Entropy (arrow of time); Living cell; Genetic code; DNA; Information theory; Living systems; Computer science; Context (archaeology); Theoretical computer science; Biological system; Statistical physics; Mathematics; Artificial intelligence; Biology; Thermodynamics; Statistics; Genetics; Physics","score_opus":0.0037632748140133798,"score_gpt":0.187550408012666,"score_spread":0.18378713319865264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068211838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9186581,0.0001721582,0.07732791,0.00013713153,0.000009886671,0.000008042299,0.000044689394,0.000062540115,0.0035795288],"genre_scores_gemma":[0.9947366,0.0000559432,0.0045288485,0.000008851449,0.000008624186,0.000007478531,0.000024036652,0.000011225448,0.00061841414],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99993443,0.00001968439,0.000002792394,0.000013932695,0.000020113945,0.000009051637],"domain_scores_gemma":[0.9996525,0.00020472136,0.00004383042,0.000037258073,0.00002608475,0.000035560515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018920869,0.000098626726,0.00017481,0.00048164788,0.00028291877,0.00039514247,0.00023830075,0.00016417325,0.00076322065],"category_scores_gemma":[0.0006474448,0.00011310423,0.00022637587,0.00025414696,0.0007415349,0.0005459566,0.00025730114,0.00017243897,0.000064545224],"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":[0.00016303008,0.000098410004,0.014104638,0.00009690583,0.000081863,0.00034653788,0.0004816066,0.37198487,0.12321109,0.45968664,0.0004736392,0.029270738],"study_design_scores_gemma":[0.00000786992,0.000032813237,0.009912951,0.0000041176468,0.00001616601,0.00011761163,0.0000756857,0.7213246,0.013025587,0.25486135,0.00060248835,0.000018734703],"about_ca_topic_score_codex":0.00042995374,"about_ca_topic_score_gemma":0.0005526224,"teacher_disagreement_score":0.00076322065,"about_ca_system_score_codex":0.0002764751,"about_ca_system_score_gemma":0.00016252024,"threshold_uncertainty_score":0.002553165},"labels":[],"label_agreement":null},{"id":"W2072111227","doi":"10.1016/j.biosystems.2004.11.006","title":"The effect of species models on estimates of within-lineage variation in integration","year":2004,"lang":"en","type":"article","venue":"Biosystems","topic":"Evolutionary Game Theory and Cooperation","field":"Social 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":"Bishop's University; University of British Columbia","funders":"","keywords":"Phyletic gradualism; Variation (astronomy); Lineage (genetic); Robustness (evolution); Evolutionary biology; Code (set theory); Biology; Representation (politics); Computer science; Phylogenetics; Programming language; Genetics","score_opus":0.017309208284623224,"score_gpt":0.2728207968196082,"score_spread":0.25551158853498496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072111227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7731484,0.004954429,0.20451547,0.0051113483,0.0002555194,0.00009263801,0.0011701845,0.0010221449,0.0097299125],"genre_scores_gemma":[0.9766208,0.00035522587,0.020452768,0.0006790692,0.00008906957,0.000052678195,0.00040746757,0.00049370574,0.00084927096],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.85583466,0.1304973,0.0024634073,0.007375535,0.002489279,0.0013398118],"domain_scores_gemma":[0.1381131,0.8266276,0.006413093,0.02416882,0.0033414348,0.0013359266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1635849,0.0018543863,0.0025246402,0.0031272706,0.0022058045,0.0059840246,0.0036737428,0.005673678,0.0034703163],"category_scores_gemma":[0.49090257,0.0020859602,0.0033535585,0.0037216116,0.009402947,0.008485026,0.0050266413,0.0073574246,0.0006383781],"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":[0.0074432692,0.00041020146,0.3183579,0.00090769463,0.013884102,0.0012527434,0.0037608477,0.5222245,0.008139794,0.058675874,0.005886081,0.05905705],"study_design_scores_gemma":[0.0006471293,0.00075411523,0.16313747,0.00046891466,0.007373578,0.0015892767,0.0010627252,0.6675293,0.010421951,0.14192188,0.004525062,0.0005687021],"about_ca_topic_score_codex":0.008326473,"about_ca_topic_score_gemma":0.010684369,"teacher_disagreement_score":0.1635849,"about_ca_system_score_codex":0.0022498318,"about_ca_system_score_gemma":0.0012089832,"threshold_uncertainty_score":0.86513},"labels":[],"label_agreement":null},{"id":"W2076130704","doi":"10.1016/j.biosystems.2005.09.009","title":"An analysis of the class of gene regulatory functions implied by a biochemical model","year":2005,"lang":"en","type":"article","venue":"Biosystems","topic":"Gene Regulatory Network Analysis","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 Calgary","funders":"","keywords":"Boolean network; Gene regulatory network; Gene; Computational biology; Biology; Function (biology); Repressor; Boolean function; Class (philosophy); Gene product; Network topology; Regulation of gene expression; Genetics; Computer science; Gene expression; Artificial intelligence; Algorithm","score_opus":0.006701873828978041,"score_gpt":0.22142895591072126,"score_spread":0.2147270820817432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076130704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5208499,0.000257989,0.4517509,0.00065151445,0.000024772295,0.000050064944,0.0003225933,0.00033174249,0.025760574],"genre_scores_gemma":[0.9652398,0.00023316257,0.031901613,0.00004150917,0.000022527442,0.00004734158,0.00026327916,0.000039431983,0.0022113696],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982315,0.000033181503,0.000005051125,0.000045932044,0.000064246946,0.00002848653],"domain_scores_gemma":[0.99937385,0.0004102665,0.00004240073,0.00007289496,0.000060294347,0.000040366947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003308254,0.0004522251,0.00024123878,0.00083026214,0.0005239582,0.00072050805,0.0005300708,0.0004354101,0.0024528846],"category_scores_gemma":[0.0015777287,0.00013950166,0.00048912363,0.0006021423,0.0005451418,0.0008594991,0.00035004073,0.00045812005,0.0002684365],"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":[0.00024411955,0.00013065782,0.004485813,0.00010287903,0.000034780318,0.00042344903,0.00015027482,0.13242088,0.08243807,0.73742944,0.0011554768,0.04098425],"study_design_scores_gemma":[0.000021737937,0.00006736587,0.0022521082,0.000012418298,0.000045407876,0.00034718562,0.00007143948,0.73301214,0.012440561,0.24913502,0.002580009,0.000014577316],"about_ca_topic_score_codex":0.0007476342,"about_ca_topic_score_gemma":0.00055312435,"teacher_disagreement_score":0.0024528846,"about_ca_system_score_codex":0.00052822253,"about_ca_system_score_gemma":0.0003624731,"threshold_uncertainty_score":0.008205712},"labels":[],"label_agreement":null},{"id":"W2076871417","doi":"10.1016/j.biosystems.2013.03.022","title":"Sequence classification with side effect machines evolved via ring optimization","year":2013,"lang":"en","type":"article","venue":"Biosystems","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 Guelph","funders":"","keywords":"Classifier (UML); Computer science; Artificial intelligence; Machine learning; Support vector machine; Evolutionary algorithm","score_opus":0.008665865590123832,"score_gpt":0.23719178889368753,"score_spread":0.2285259233035637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076871417","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":[0.16128205,0.0004433208,0.8285576,0.00039961154,0.00021806674,0.00014282137,0.00019373534,0.0033975712,0.005365298],"genre_scores_gemma":[0.55752057,0.00013046764,0.43481278,0.0002541704,0.00008598961,0.00023989212,0.00045977763,0.00042409936,0.006072198],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995603,0.00015034968,0.00003143354,0.00012348677,0.00008059313,0.000053858188],"domain_scores_gemma":[0.9985201,0.0007697615,0.00008145952,0.0002760572,0.00026828947,0.000084355925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001416077,0.00052733667,0.0011397619,0.0005496193,0.00046971426,0.0006628661,0.0013998316,0.0013430992,0.003800598],"category_scores_gemma":[0.0036332256,0.00034103598,0.00084938284,0.00051320624,0.00061730156,0.00099846,0.0011753417,0.0015737151,0.001173829],"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":[0.0007418707,0.00023369527,0.0018156692,0.00012807325,0.00011379898,0.0001684596,0.00010801091,0.706429,0.015197979,0.021054465,0.0048987083,0.24911022],"study_design_scores_gemma":[0.000016671576,0.000049012495,0.000049740906,0.000003016025,0.000007584369,0.00001260785,0.000004473127,0.9940156,0.0022164236,0.0032131106,0.00040820637,0.0000035339815],"about_ca_topic_score_codex":0.001015197,"about_ca_topic_score_gemma":0.0012576801,"teacher_disagreement_score":0.003800598,"about_ca_system_score_codex":0.00071361684,"about_ca_system_score_gemma":0.0007739238,"threshold_uncertainty_score":0.012714267},"labels":[],"label_agreement":null},{"id":"W2079058642","doi":"10.1016/j.biosystems.2004.09.028","title":"Unsupervised Spike Sorting of extracellular electrophysiological recording in subthalamic nucleus of Parkinsonian patients","year":2004,"lang":"en","type":"article","venue":"Biosystems","topic":"Neurological disorders and treatments","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":"Université de Sherbrooke","funders":"","keywords":"Subthalamic nucleus; Spike sorting; Bursting; Neuroscience; Pattern recognition (psychology); Electrophysiology; Spike (software development); Artificial intelligence; Computer science; Deep brain stimulation; SIGNAL (programming language); Medicine; Biology; Cluster analysis; Parkinson's disease; Pathology","score_opus":0.01621701446098453,"score_gpt":0.2352267720391506,"score_spread":0.21900975757816607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079058642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9833128,0.00009741152,0.015050581,0.00006449434,0.000014146142,0.000018220462,0.0007940979,0.00013679128,0.0005114404],"genre_scores_gemma":[0.991553,0.0000432476,0.0064969757,0.0000149403995,0.0000089914365,0.000009704368,0.0013546266,0.000015905764,0.0005026036],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998977,0.000021491753,0.000013043902,0.00002137767,0.000022346268,0.000024104216],"domain_scores_gemma":[0.99970204,0.00014240044,0.000033318323,0.00002463959,0.000070182956,0.000027351081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016849909,0.0002017203,0.00018694469,0.0004606461,0.00015421787,0.00035165544,0.00017643516,0.00031731723,0.00070359954],"category_scores_gemma":[0.0009799149,0.000063772495,0.00024277202,0.00037426164,0.00013526258,0.0001765218,0.00018440402,0.00018365127,0.00019497666],"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":[0.0048968615,0.0004948326,0.1945027,0.00023734831,0.00033054085,0.0014170499,0.0005874856,0.032651518,0.20806769,0.0015909825,0.0036923448,0.5515308],"study_design_scores_gemma":[0.00007017207,0.00035654524,0.6265949,0.000020449475,0.0001319539,0.0026885201,0.00046249662,0.31413925,0.051724825,0.0024808398,0.0012793124,0.000050756935],"about_ca_topic_score_codex":0.0035544306,"about_ca_topic_score_gemma":0.00672106,"teacher_disagreement_score":0.0035544306,"about_ca_system_score_codex":0.00018932384,"about_ca_system_score_gemma":0.00035446306,"threshold_uncertainty_score":0.0070675015},"labels":[],"label_agreement":null},{"id":"W2080365565","doi":"10.1016/j.biosystems.2012.04.006","title":"The role of pectin in plant morphogenesis","year":2012,"lang":"en","type":"review","venue":"Biosystems","topic":"Polysaccharides and Plant Cell Walls","field":"Agricultural and Biological Sciences","cited_by":199,"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; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Pectin; Morphogenesis; Biology; Botany; Biochemistry","score_opus":0.04281661810455127,"score_gpt":0.23173211073328592,"score_spread":0.18891549262873464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080365565","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":[0.00011529662,0.99864703,0.00021632678,0.000155506,0.0001392699,0.0000020016726,0.0000109561915,0.0000036672407,0.0007099491],"genre_scores_gemma":[0.00066138385,0.9984515,0.00019726132,0.00008114209,0.0001688262,0.000002381285,0.000018764476,8.277159e-7,0.00041784043],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998678,0.000016074055,0.000018407969,0.000031542448,0.00005045821,0.000015809253],"domain_scores_gemma":[0.9996902,0.0001370512,0.000047103807,0.000011964236,0.0000739723,0.000039738305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005801923,0.0010518798,0.0014177441,0.0019298034,0.0003296781,0.0013000136,0.0008103024,0.0013523593,0.0021912616],"category_scores_gemma":[0.00067571213,0.0003304853,0.0003135447,0.0030737869,0.0008388778,0.0016688037,0.0009859768,0.0016042175,0.0013009085],"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":[0.000069649774,0.00004126038,0.00016360091,0.00928137,0.00005766256,0.00018995529,0.000048677757,0.00047332342,0.0038373726,0.0042659477,0.014970574,0.96660066],"study_design_scores_gemma":[0.000015781234,0.00005431543,0.0008985538,0.0019314224,0.00011524309,0.0010566082,0.00010039371,0.00016881128,0.0009659387,0.004255874,0.9904117,0.000025328683],"about_ca_topic_score_codex":0.001395495,"about_ca_topic_score_gemma":0.00200391,"teacher_disagreement_score":0.0021912616,"about_ca_system_score_codex":0.00063837745,"about_ca_system_score_gemma":0.0011491412,"threshold_uncertainty_score":0.007330537},"labels":[],"label_agreement":null},{"id":"W2080413320","doi":"10.1016/j.biosystems.2009.10.008","title":"The evolution of senescence in multi-component systems","year":2009,"lang":"en","type":"article","venue":"Biosystems","topic":"Genetics, Aging, and Longevity in Model Organisms","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":"Carleton University","funders":"","keywords":"Component (thermodynamics); Senescence; Biology; Evolutionary biology; Computer science; Computational biology; Genetics; Physics","score_opus":0.012364319674949503,"score_gpt":0.2357154545055234,"score_spread":0.2233511348305739,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080413320","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8522396,0.00495647,0.13191958,0.0018773234,0.00010799342,0.000020703512,0.00006255081,0.00023916834,0.008576615],"genre_scores_gemma":[0.9924489,0.0006487614,0.006004029,0.00006263046,0.000023533168,0.000010280753,0.000020096704,0.000010217667,0.0007714452],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99963176,0.00015921959,0.00001685968,0.00007333072,0.000077769386,0.00004104726],"domain_scores_gemma":[0.9988022,0.0005817657,0.00017410265,0.00019343216,0.0001330254,0.00011553369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010106898,0.00029513237,0.00047791988,0.00053979264,0.00073621696,0.0010918805,0.00055296626,0.00073028484,0.00072323537],"category_scores_gemma":[0.0031401196,0.00025650434,0.00044575284,0.0003460495,0.0012769026,0.0013602284,0.00071720674,0.0006994208,0.000105010775],"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":[0.00029079948,0.00010519461,0.017080182,0.0003384676,0.00020128439,0.0007139047,0.001286489,0.18211268,0.1016832,0.6203921,0.0012429857,0.07455276],"study_design_scores_gemma":[0.000058797898,0.00019105065,0.015004597,0.0000362091,0.0000866741,0.0007311339,0.00019148459,0.27190202,0.009546886,0.690371,0.0118075255,0.00007271533],"about_ca_topic_score_codex":0.0010511676,"about_ca_topic_score_gemma":0.0006406344,"teacher_disagreement_score":0.001125379,"about_ca_system_score_codex":0.001125379,"about_ca_system_score_gemma":0.0004333728,"threshold_uncertainty_score":0.00816524},"labels":[],"label_agreement":null},{"id":"W2080562508","doi":"10.1016/j.biosystems.2012.03.004","title":"Dynamic regulation of growing domains for elongating and branching morphogenesis in plants","year":2012,"lang":"en","type":"article","venue":"Biosystems","topic":"Plant Reproductive Biology","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":"British Columbia Institute of Technology; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; British Columbia Institute of Technology; Compute Canada","keywords":"Branching (polymer chemistry); Tip growth; Biological system; Morphogenesis; Growth rate; Chemical physics; Biophysics; Chemistry; Biology; Geometry; Mathematics; Ecology","score_opus":0.009616417488248572,"score_gpt":0.2444815988054275,"score_spread":0.23486518131717893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080562508","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97362906,0.0018144017,0.018880986,0.000249873,0.00003686446,0.000014107952,0.00020351705,0.00021082512,0.0049602394],"genre_scores_gemma":[0.9926952,0.00036782474,0.0046924427,0.000052890537,0.000017775108,0.000023054725,0.0003229031,0.00011597039,0.0017120503],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99979347,0.000023949518,0.0000097319435,0.00006674544,0.00006266417,0.000043386255],"domain_scores_gemma":[0.9992913,0.00022780434,0.00012847608,0.0000947363,0.00008814912,0.00016957856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031468237,0.00022258204,0.0003269129,0.0004466454,0.0008043503,0.0017091337,0.0006563697,0.00041615337,0.0019145866],"category_scores_gemma":[0.00063259975,0.0005612891,0.00027972946,0.00027439633,0.0007108648,0.0013630171,0.00086355314,0.0010102629,0.0009796303],"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":[0.00008907349,0.000013841498,0.0005996533,0.000025590587,0.0000023045895,0.00003719586,0.000071988354,0.0005222145,0.9918359,0.0041346853,0.000116743606,0.0025508234],"study_design_scores_gemma":[0.000055931112,0.000105910694,0.048974775,0.000034166766,0.000018642488,0.0004251703,0.00042101677,0.030929968,0.8997111,0.007901472,0.011365973,0.000055890112],"about_ca_topic_score_codex":0.00071427034,"about_ca_topic_score_gemma":0.0020697068,"teacher_disagreement_score":0.0019145866,"about_ca_system_score_codex":0.0008699429,"about_ca_system_score_gemma":0.0003303832,"threshold_uncertainty_score":0.0064049363},"labels":[],"label_agreement":null},{"id":"W2081146225","doi":"10.1016/j.biosystems.2007.11.003","title":"Cardiac cell: a biological laser?","year":2007,"lang":"en","type":"article","venue":"Biosystems","topic":"Cardiac electrophysiology and arrhythmias","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":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Lasing threshold; Population inversion; Population; Calcium; Laser; Coupling (piping); Physics; Biophysics; Computer science; Chemistry; Materials science; Quantum mechanics; Biology","score_opus":0.013982939056794418,"score_gpt":0.254437828116653,"score_spread":0.24045488905985857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081146225","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":[0.06580774,0.23451899,0.116677254,0.3260626,0.027045935,0.00010652981,0.00038158963,0.00072130293,0.22867806],"genre_scores_gemma":[0.61731005,0.113217585,0.03543921,0.07010836,0.017155886,0.00033421427,0.00024130683,0.00031691848,0.14587657],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993343,0.00016490805,0.000027033777,0.00011020902,0.00025049257,0.00011303384],"domain_scores_gemma":[0.99904567,0.00039382602,0.000061183986,0.000085760345,0.00022426984,0.00018928382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014818911,0.00043916467,0.0006709638,0.0009774067,0.0017134317,0.0034497792,0.0012299576,0.0050911205,0.02323645],"category_scores_gemma":[0.0019721452,0.00022132078,0.00042580685,0.0007421428,0.005255021,0.005310376,0.0018288995,0.0025715015,0.0049517555],"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":[0.00039646728,0.000118445285,0.0018577981,0.00056761043,0.000049047896,0.0014063976,0.0011034237,0.0003766618,0.046152476,0.73854256,0.050118472,0.15931065],"study_design_scores_gemma":[0.000097419404,0.00050564646,0.0012560163,0.0004014984,0.00007415024,0.0053443755,0.0024798464,0.0012042528,0.018655257,0.38630244,0.5835927,0.0000864101],"about_ca_topic_score_codex":0.0006364926,"about_ca_topic_score_gemma":0.0006186975,"teacher_disagreement_score":0.02323645,"about_ca_system_score_codex":0.0012478722,"about_ca_system_score_gemma":0.0012227516,"threshold_uncertainty_score":0.077733696},"labels":[],"label_agreement":null},{"id":"W2084145170","doi":"10.1016/j.biosystems.2008.01.002","title":"Objective patterns in the evolving network of non-equivalent observers","year":2008,"lang":"en","type":"article","venue":"Biosystems","topic":"Quantum Mechanics and Applications","field":"Physics and Astronomy","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":"Memorial University of Newfoundland","funders":"","keywords":"Predictability; Quantum; Spacetime; Computer science; Planck; Function (biology); Perception; Wave function; Mathematics; Statistical physics; Physics; Theoretical physics; Statistics; Quantum mechanics; Biology; Evolutionary biology","score_opus":0.023505530537675158,"score_gpt":0.24692757853058622,"score_spread":0.22342204799291107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084145170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7933571,0.00015451324,0.19973393,0.0008157404,0.000022183704,0.00003774734,0.00016225186,0.00006652329,0.0056499084],"genre_scores_gemma":[0.9800004,0.00014054679,0.015548242,0.000055004857,0.000015594283,0.000060560076,0.00013591404,0.000022446004,0.0040214965],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99943334,0.00021174976,0.000029092818,0.00012972647,0.00012235728,0.00007373435],"domain_scores_gemma":[0.99547184,0.002326661,0.0007564782,0.00035412522,0.00059544883,0.0004953596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012722822,0.00022673466,0.0005139283,0.000889167,0.00050433545,0.0018791854,0.0011461317,0.0011486138,0.0029390554],"category_scores_gemma":[0.00918229,0.00040216537,0.00032493455,0.0007296097,0.0016693003,0.0031668185,0.0011305009,0.0010209219,0.00024443687],"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":[0.00016958908,0.0000616699,0.014828724,0.000079970436,0.00007674102,0.00021176127,0.0011950538,0.16504931,0.005841722,0.784275,0.000867363,0.027343003],"study_design_scores_gemma":[0.000038336617,0.00005132277,0.006096163,0.000013526528,0.00001607386,0.000079923244,0.00030558353,0.45385027,0.0006483811,0.5380875,0.000781234,0.000031631258],"about_ca_topic_score_codex":0.0029345416,"about_ca_topic_score_gemma":0.0035809164,"teacher_disagreement_score":0.0029390554,"about_ca_system_score_codex":0.0010085352,"about_ca_system_score_gemma":0.0005170568,"threshold_uncertainty_score":0.009832084},"labels":[],"label_agreement":null},{"id":"W2094769211","doi":"10.1016/s0303-2647(03)00111-4","title":"Reentrant waves in a ring of embryonic chick ventricular cells imaged with a Ca2+ sensitive dye","year":2003,"lang":"en","type":"article","venue":"Biosystems","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","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":"McGill University","funders":"McGill University","keywords":"Reentry; Reentrancy; Optical mapping; Refractory period; Biophysics; Rhythm; Cardiac pacemaker; Chemistry; Neuroscience; Internal medicine; Biology; Physics; Medicine","score_opus":0.0055024551040467155,"score_gpt":0.20888822694713183,"score_spread":0.20338577184308512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094769211","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99415886,0.00058844604,0.0035060393,0.00003532289,0.000016973407,0.00001634435,0.00012810543,0.000042370535,0.0015074996],"genre_scores_gemma":[0.98660475,0.0005260679,0.007858123,0.00002675609,0.00001693499,0.000029943001,0.00031896585,0.00004971682,0.004568618],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999349,0.000006895681,0.000004780874,0.00001834375,0.000015739726,0.000019346979],"domain_scores_gemma":[0.9997086,0.0001167787,0.000039701008,0.000046218483,0.00003174276,0.00005699704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017026451,0.00016724384,0.00031188707,0.00023309297,0.00032322473,0.00043034245,0.00063520606,0.00047176602,0.00081464683],"category_scores_gemma":[0.00029049662,0.00027355782,0.0001774344,0.0001517302,0.00036182557,0.00039215916,0.0003643974,0.00062141503,0.0002934106],"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":[0.00025933798,0.000014137965,0.00069799676,0.000035231315,0.000009076999,0.0003412801,0.00017479689,0.0004667752,0.99629825,0.0003324444,0.00006932124,0.0013014547],"study_design_scores_gemma":[0.00012294139,0.00051704206,0.051255953,0.00003587183,0.00007102793,0.0010614349,0.00029183167,0.012294304,0.93045187,0.00019459472,0.0036806539,0.00002251869],"about_ca_topic_score_codex":0.004135859,"about_ca_topic_score_gemma":0.004255807,"teacher_disagreement_score":0.004135859,"about_ca_system_score_codex":0.00042810477,"about_ca_system_score_gemma":0.00021081552,"threshold_uncertainty_score":0.008223534},"labels":[],"label_agreement":null},{"id":"W2095057098","doi":"10.1016/j.biosystems.2012.06.005","title":"On the synthesis of DNA error correcting codes","year":2012,"lang":"en","type":"article","venue":"Biosystems","topic":"Advanced biosensing and bioanalysis techniques","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":"Brock University; University of Guelph","funders":"","keywords":"Computer science; Algorithm; Error detection and correction; Metric (unit); Concatenated error correction code; Code (set theory); Decoding methods; Theoretical computer science; Block code; Programming language; Engineering","score_opus":0.018679012667903228,"score_gpt":0.2720543318589978,"score_spread":0.2533753191910946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095057098","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":[0.040645164,0.0104008,0.9079068,0.0015447694,0.0021281377,0.00025795298,0.0003757083,0.0015624481,0.035178278],"genre_scores_gemma":[0.32075182,0.019456541,0.60435545,0.00077322003,0.0005551409,0.0003482878,0.0010813136,0.0005975819,0.05208068],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909365,0.00015835,0.00004951582,0.00015654443,0.00042729676,0.000114614595],"domain_scores_gemma":[0.99902153,0.0004122797,0.000108556356,0.00016022321,0.00025207968,0.000045283414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006777957,0.00080017967,0.00044260224,0.0010456707,0.00067328743,0.0010473756,0.0009510053,0.0007661282,0.005358669],"category_scores_gemma":[0.0020977117,0.00044805283,0.00039272985,0.0010653883,0.00091220427,0.001168182,0.0010475223,0.0017604957,0.0024811812],"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":[0.000316333,0.00010970448,0.0005931281,0.0012600799,0.000056284087,0.00042181596,0.0006204934,0.026451163,0.22422919,0.33708194,0.011869776,0.3969901],"study_design_scores_gemma":[0.00004456796,0.0003195129,0.00036210855,0.00033487027,0.000040201834,0.0004997651,0.00008016039,0.043112822,0.6735586,0.080748916,0.20079245,0.00010598745],"about_ca_topic_score_codex":0.0013839278,"about_ca_topic_score_gemma":0.0019782796,"teacher_disagreement_score":0.005358669,"about_ca_system_score_codex":0.0008485823,"about_ca_system_score_gemma":0.0010225261,"threshold_uncertainty_score":0.017926514},"labels":[],"label_agreement":null},{"id":"W2098884050","doi":"10.1016/j.biosystems.2005.09.006","title":"A game-theoretic model for punctuated equilibrium: Species invasion and stasis through coevolution","year":2006,"lang":"en","type":"article","venue":"Biosystems","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":"Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coevolution; Punctuated equilibrium; Habitat; Ecology; Selection (genetic algorithm); Biology; Evolutionary biology; Evolutionary game theory; Evolutionarily stable strategy; Game theory; Mathematical economics; Computer science; Artificial intelligence; Economics","score_opus":0.017151714480328012,"score_gpt":0.23829024734669182,"score_spread":0.2211385328663638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098884050","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":[0.28367126,0.00045157742,0.6668005,0.0039863167,0.000123207,0.00015206085,0.00042853664,0.00027410762,0.044112395],"genre_scores_gemma":[0.96472335,0.00026277217,0.024558164,0.00016508331,0.000045831406,0.00013857741,0.00006236744,0.000029590865,0.010014157],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992613,0.00034280343,0.000030155496,0.00013006337,0.0001347973,0.00010087113],"domain_scores_gemma":[0.99808395,0.0011020689,0.00023202381,0.00018537403,0.00014337989,0.0002532656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012232506,0.00059331045,0.0012424961,0.00074783625,0.0013986377,0.003194295,0.0025118457,0.0029255424,0.0066555133],"category_scores_gemma":[0.0053888517,0.00052950194,0.0009951006,0.000997149,0.0030288612,0.0041571776,0.0019525227,0.0015095752,0.0007185346],"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":[0.000060761995,0.000033162556,0.0006730369,0.000047491027,0.00005121335,0.00030865346,0.00028222156,0.16351324,0.0014006,0.8298056,0.0008526654,0.002971418],"study_design_scores_gemma":[0.00006660043,0.000046630386,0.00022278479,0.0000108426175,0.000023579938,0.00018852374,0.00008033706,0.43655834,0.00014733555,0.5610957,0.001531942,0.000027381913],"about_ca_topic_score_codex":0.003266777,"about_ca_topic_score_gemma":0.0024299624,"teacher_disagreement_score":0.0066555133,"about_ca_system_score_codex":0.0015814384,"about_ca_system_score_gemma":0.0016732289,"threshold_uncertainty_score":0.022264898},"labels":[],"label_agreement":null},{"id":"W2110436410","doi":"10.1016/j.biosystems.2006.01.004","title":"Network topology and the evolution of dynamics in an artificial genetic regulatory network model created by whole genome duplication and divergence","year":2006,"lang":"en","type":"article","venue":"Biosystems","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":91,"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":"","keywords":"Evolvability; Network topology; Topology (electrical circuits); Computer science; Natural selection; Gene regulatory network; Divergence (linguistics); Biological network; Gene duplication; Genome; Network dynamics; Selection (genetic algorithm); Computational biology; Artificial intelligence; Biology; Mathematics; Evolutionary biology; Gene; Genetics; Computer network","score_opus":0.005007222817534633,"score_gpt":0.1976831929573428,"score_spread":0.19267597013980817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110436410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93031186,0.00011343069,0.065493084,0.0005635129,0.00002594186,0.000013919007,0.000164002,0.00010235986,0.0032119055],"genre_scores_gemma":[0.9907958,0.00012144288,0.007969572,0.000022339287,0.000008963525,0.000026642396,0.00008788969,0.000022220172,0.00094514975],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998223,0.000092065246,0.0000055884902,0.00003650707,0.0000240282,0.000019420533],"domain_scores_gemma":[0.9978613,0.0014678733,0.00025851687,0.00010682235,0.000119887765,0.00018560542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006818326,0.00029794796,0.00037816103,0.00093934895,0.00057663315,0.0010169564,0.0007463614,0.0008719886,0.0014937572],"category_scores_gemma":[0.0053702653,0.0003691472,0.00040762615,0.00058211025,0.0010496511,0.0016878166,0.0005086343,0.00059283595,0.00011438778],"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":[0.00010408252,0.000025333647,0.002430252,0.000023003084,0.000028299026,0.000101106,0.00010370414,0.92927456,0.0030032566,0.062164742,0.00023336193,0.0025082477],"study_design_scores_gemma":[0.000013433591,0.00001050324,0.00041936422,0.0000022129489,0.000007716338,0.000021458529,0.000014058387,0.98143893,0.00016789004,0.017767841,0.00013046902,0.0000062606077],"about_ca_topic_score_codex":0.0039832573,"about_ca_topic_score_gemma":0.0028356507,"teacher_disagreement_score":0.0039832573,"about_ca_system_score_codex":0.0011450066,"about_ca_system_score_gemma":0.0004919678,"threshold_uncertainty_score":0.008307636},"labels":[],"label_agreement":null},{"id":"W2118319491","doi":"10.1016/j.biosystems.2007.11.002","title":"Effect of synaptic plasticity on sensory coding and steady-state filtering properties in the electric sense","year":2007,"lang":"en","type":"article","venue":"Biosystems","topic":"Neural dynamics and brain function","field":"Neuroscience","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 Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Sensory system; Sense (electronics); Plasticity; Coding (social sciences); Neuroscience; Biological system; Computer science; Synaptic plasticity; Biology; Mathematics; Physics; Chemistry; Statistics; Thermodynamics","score_opus":0.028938696212325508,"score_gpt":0.24245464526146315,"score_spread":0.21351594904913765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118319491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953761,0.00023550223,0.0028860765,0.00013089634,0.00004216062,0.000007319265,0.000070756054,0.00005147264,0.0011997815],"genre_scores_gemma":[0.9993736,0.0001145003,0.00028005196,0.000018173596,0.000005774051,0.0000035062492,0.000018899262,0.00001803676,0.00016766883],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990296,0.000012751422,0.000011079653,0.000017586026,0.000020461284,0.00003511281],"domain_scores_gemma":[0.99918765,0.00050394924,0.00005600477,0.00011444416,0.00004702556,0.00009095232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018998315,0.00036154044,0.0004124978,0.00016332246,0.0002505066,0.00061548507,0.00052622595,0.00043411227,0.0025551284],"category_scores_gemma":[0.0023833308,0.00019330991,0.0003516167,0.00013634672,0.0006240499,0.0007101034,0.00037478597,0.0006911749,0.00023824669],"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":[0.0020130805,0.00018305192,0.00096495496,0.00010736271,0.00007590284,0.00024331288,0.00006558377,0.0040998757,0.97967017,0.0018598434,0.00010079035,0.010616115],"study_design_scores_gemma":[0.00030820054,0.0010647242,0.033679303,0.000041426152,0.0003161769,0.0012557845,0.00019151239,0.06682251,0.88808805,0.007396464,0.00075240224,0.00008349626],"about_ca_topic_score_codex":0.00055869156,"about_ca_topic_score_gemma":0.000512864,"teacher_disagreement_score":0.0025551284,"about_ca_system_score_codex":0.00021319793,"about_ca_system_score_gemma":0.00022369048,"threshold_uncertainty_score":0.008547783},"labels":[],"label_agreement":null},{"id":"W2120139403","doi":"10.1016/s0303-2647(00)00070-8","title":"Studies into abstract properties of individuals. IV. Emergence in different aged needle primordia of Douglas fir","year":2000,"lang":"en","type":"article","venue":"Biosystems","topic":"Morphological variations and asymmetry","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":"University of British Columbia","funders":"","keywords":"Primordium; Ontogeny; Biology; Meristem; Douglas fir; Variation (astronomy); Evolutionary biology; Botany; Genetics; Gene","score_opus":0.10103994392231579,"score_gpt":0.3158772285751452,"score_spread":0.21483728465282942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120139403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972892,0.00012579028,0.0016127342,0.000010296398,0.0000017473096,0.000002313657,0.00008105366,0.000008274896,0.0008685437],"genre_scores_gemma":[0.9988254,0.00004508236,0.0005359182,0.0000044724507,0.000001747676,0.000001935553,0.000093063456,0.0000064450846,0.0004859573],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999076,0.000014121025,0.0000067893393,0.000029376064,0.000021109123,0.000021047732],"domain_scores_gemma":[0.99911886,0.0003615541,0.00017517195,0.00009074862,0.0001188757,0.00013478554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030533408,0.000103534825,0.00016393204,0.00048556182,0.0002801808,0.0002967901,0.00020240946,0.0001422371,0.0008112438],"category_scores_gemma":[0.00072910683,0.00010578012,0.00025767676,0.00030547412,0.0003598313,0.0002879935,0.0002801148,0.00034150662,0.00017807168],"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":[0.00024615356,0.000031912332,0.08155649,0.00006808594,0.00002870296,0.00018711452,0.00037901645,0.003510618,0.88986653,0.0062620165,0.000102260776,0.017761061],"study_design_scores_gemma":[0.0000131159595,0.00019864707,0.93539405,0.0000061899827,0.000032774467,0.00048189526,0.00028526853,0.008264971,0.050009165,0.004432652,0.000854978,0.000026407808],"about_ca_topic_score_codex":0.001495444,"about_ca_topic_score_gemma":0.0022378508,"teacher_disagreement_score":0.001495444,"about_ca_system_score_codex":0.00043332425,"about_ca_system_score_gemma":0.00014525354,"threshold_uncertainty_score":0.0031440258},"labels":[],"label_agreement":null},{"id":"W2124551777","doi":"10.1016/j.biosystems.2005.09.004","title":"Generative topographic mapping applied to clustering and visualization of motor unit action potentials","year":2005,"lang":"en","type":"article","venue":"Biosystems","topic":"Neural Networks and Applications","field":"Computer Science","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 New Brunswick","funders":"Governo Brasil","keywords":"Visualization; Cluster analysis; Self-organizing map; Computer science; Pattern recognition (psychology); Artificial intelligence; Grid; Principal component analysis; Motor unit; Neuroscience; Mathematics; Biology","score_opus":0.042962105439870946,"score_gpt":0.2840534867386454,"score_spread":0.24109138129877444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124551777","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":[0.032304727,0.00019602198,0.9628967,0.00019912235,0.000043200453,0.000047573823,0.00017771014,0.00222938,0.0019055562],"genre_scores_gemma":[0.6174725,0.00046061547,0.37870553,0.000053733413,0.000038026246,0.000095045805,0.00028023197,0.0006397724,0.00225454],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999876,0.000037607326,0.0000056977697,0.000024861405,0.000038400336,0.000017396476],"domain_scores_gemma":[0.99957913,0.0002334411,0.000029084966,0.000060803435,0.00007251281,0.00002493384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030770642,0.0003750056,0.00031492367,0.0009341634,0.00034378702,0.00081323675,0.0004849695,0.00043731212,0.0030932233],"category_scores_gemma":[0.0021822616,0.00031130746,0.00053041143,0.0015133173,0.00038288644,0.0004929702,0.0007157176,0.00061555515,0.00045459231],"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":[0.00020503462,0.0000429374,0.0015566982,0.00021002561,0.0000743896,0.00034642432,0.00063376594,0.32788926,0.055500526,0.03002742,0.00459743,0.57891613],"study_design_scores_gemma":[0.000007912981,0.000016054464,0.0010463392,0.000009237038,0.000009269513,0.00014228292,0.000040587423,0.9744863,0.0073409225,0.015279709,0.0016086015,0.000012809592],"about_ca_topic_score_codex":0.006637226,"about_ca_topic_score_gemma":0.007648371,"teacher_disagreement_score":0.006637226,"about_ca_system_score_codex":0.0004569059,"about_ca_system_score_gemma":0.00069983985,"threshold_uncertainty_score":0.013197184},"labels":[],"label_agreement":null},{"id":"W2131707961","doi":"10.1016/s0303-2647(02)00073-4","title":"Noise-induced divisive gain control in neuron models","year":2002,"lang":"en","type":"article","venue":"Biosystems","topic":"Neural dynamics and brain function","field":"Neuroscience","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 Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Noise (video); Context (archaeology); Multiplicative noise; Inhibitory postsynaptic potential; Gaussian noise; Electric fish; Shot noise; Biological system; Mathematics; Physics; Control theory (sociology); Computer science; Neuroscience; Algorithm; Transmission (telecommunications); Biology; Artificial intelligence; Telecommunications; Optics","score_opus":0.057011977219573975,"score_gpt":0.23481967968643797,"score_spread":0.177807702466864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131707961","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":[0.25752798,0.0008914618,0.71106523,0.0012606587,0.00013958271,0.000057125275,0.00018297059,0.00033755737,0.028537408],"genre_scores_gemma":[0.983651,0.00025179802,0.006655397,0.000056756737,0.00002337338,0.000033523123,0.000030699946,0.000053113392,0.009244427],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981433,0.000053434287,0.000007212508,0.000040173087,0.00005135502,0.000033430453],"domain_scores_gemma":[0.9994306,0.00030883102,0.000077583005,0.000046657515,0.00008933105,0.00004697782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058246654,0.0006596354,0.0007550583,0.00041633353,0.0005055539,0.0010054298,0.001154853,0.0013010441,0.0019081569],"category_scores_gemma":[0.003758737,0.00037520225,0.00050039764,0.00037287115,0.0014192977,0.0013587393,0.00091234595,0.0009849229,0.00023246287],"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":[0.00006834843,0.000028749995,0.00029694985,0.000070191694,0.000022250304,0.00011588999,0.00017840174,0.78647727,0.008097152,0.19808684,0.00064352236,0.005914359],"study_design_scores_gemma":[0.0000045190795,0.0000070778633,0.000084483945,0.0000031901213,0.000004194775,0.000018352155,0.00000761752,0.97704303,0.0003619259,0.022314956,0.00014415939,0.0000064553924],"about_ca_topic_score_codex":0.007144896,"about_ca_topic_score_gemma":0.0061887153,"teacher_disagreement_score":0.007144896,"about_ca_system_score_codex":0.0012200908,"about_ca_system_score_gemma":0.000697328,"threshold_uncertainty_score":0.014206648},"labels":[],"label_agreement":null},{"id":"W2137063199","doi":"10.1016/j.biosystems.2004.12.003","title":"UML as a cell and biochemistry modeling language","year":2005,"lang":"en","type":"article","venue":"Biosystems","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":"Carleton University; TRIUMF","funders":"","keywords":"Unified Modeling Language; Computer science; Computational biology; Cell; Programming language; Natural language processing; Chemistry; Biology; Biochemistry; Software","score_opus":0.004650990759434293,"score_gpt":0.21631181214013032,"score_spread":0.21166082138069603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137063199","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":[0.0013246753,0.0001242146,0.98823184,0.00030283432,0.000056202265,0.000043617274,0.0009114459,0.006193642,0.002811541],"genre_scores_gemma":[0.09343191,0.0010153971,0.889587,0.0005484656,0.00010683739,0.0005179935,0.0031959333,0.0032028393,0.00839364],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867,0.0005299428,0.00017379015,0.00019524347,0.00034825882,0.000082787104],"domain_scores_gemma":[0.997943,0.0013278523,0.000119332566,0.00027532256,0.00023509575,0.00009945983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023957905,0.0013873754,0.0008867588,0.0018625691,0.00073978334,0.0040268917,0.0017550071,0.0013691684,0.008225783],"category_scores_gemma":[0.0042250464,0.0009924783,0.0021635888,0.0013531923,0.0012633824,0.003989581,0.0019452244,0.0019173988,0.0032409178],"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":[0.00006739649,0.0000566797,0.0007287413,0.00047458964,0.00006270826,0.00029792986,0.0009954653,0.03566252,0.0055245804,0.89592755,0.015323704,0.044878118],"study_design_scores_gemma":[0.000057029927,0.000042100346,0.00019309082,0.00031297232,0.00018398253,0.00041165354,0.00019627172,0.28365505,0.0123585705,0.35513574,0.34739354,0.000059983264],"about_ca_topic_score_codex":0.0044865357,"about_ca_topic_score_gemma":0.004444139,"teacher_disagreement_score":0.008225783,"about_ca_system_score_codex":0.00154087,"about_ca_system_score_gemma":0.0018294408,"threshold_uncertainty_score":0.027517915},"labels":[],"label_agreement":null},{"id":"W2153917440","doi":"10.1016/j.biosystems.2005.09.010","title":"Dynamical properties of model gene networks and implications for the inverse problem","year":2005,"lang":"en","type":"article","venue":"Biosystems","topic":"Gene Regulatory Network Analysis","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":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Boolean network; Inverse; Logarithm; Matching (statistics); Boolean model; Mathematics; Boolean function; Function (biology); Upper and lower bounds; Gene regulatory network; Inverse problem; Computer science; Mathematical optimization; Applied mathematics; Discrete mathematics; Gene; Biology; Statistics; Gene expression; Genetics","score_opus":0.01882024732517422,"score_gpt":0.2295458387987989,"score_spread":0.21072559147362468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153917440","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":[0.19416308,0.00069197576,0.78963035,0.0023917146,0.000070338545,0.000045976303,0.00022120377,0.00011682984,0.012668547],"genre_scores_gemma":[0.94667387,0.0012237113,0.044613235,0.00024857183,0.00016297512,0.00016097074,0.00030656526,0.000102579805,0.0065075657],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967706,0.00015369018,0.000010442613,0.00007002216,0.000059944156,0.000028820526],"domain_scores_gemma":[0.99679023,0.0024771434,0.00027999104,0.00017044198,0.00015376284,0.00012847979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010755407,0.0004187408,0.0007715821,0.00077118626,0.0005684542,0.0011656687,0.0008962943,0.0011207034,0.002233272],"category_scores_gemma":[0.008723634,0.0004827285,0.0008123101,0.00044464608,0.0018403069,0.0024424454,0.000961055,0.001110424,0.00020807903],"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":[0.000036719666,0.000039681432,0.0010920855,0.00006822824,0.00002338866,0.000100764235,0.00011061657,0.34238088,0.0022635746,0.647351,0.0008388747,0.0056941784],"study_design_scores_gemma":[0.00001139442,0.000010870164,0.00020644192,0.0000065099025,0.0000045490115,0.00003794617,0.000021759586,0.6312243,0.00020925881,0.36788747,0.00037056318,0.000009001873],"about_ca_topic_score_codex":0.0024651636,"about_ca_topic_score_gemma":0.0014237175,"teacher_disagreement_score":0.0024651636,"about_ca_system_score_codex":0.0007963296,"about_ca_system_score_gemma":0.00071816257,"threshold_uncertainty_score":0.007471025},"labels":[],"label_agreement":null},{"id":"W2288856974","doi":"10.1016/j.biosystems.2016.01.003","title":"Computational power and generative capacity of genetic systems","year":2016,"lang":"en","type":"review","venue":"Biosystems","topic":"Origins and Evolution of Life","field":"Physics and Astronomy","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":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Russian Foundation for Basic Research","keywords":"Generativity; Semiotics; Generative grammar; Arbitrariness; Computer science; Genetic code; Semiosis; Sign (mathematics); Structuralism (philosophy of science); Expression (computer science); Cognitive science; Artificial intelligence; Linguistics; Epistemology; Biology; Mathematics; Philosophy; Programming language; Psychology; Genetics; DNA","score_opus":0.032294593398877164,"score_gpt":0.28311160882680203,"score_spread":0.2508170154279249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2288856974","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":[0.0006340447,0.99012077,0.0014668558,0.001154309,0.00015990842,0.000002633142,0.000019179486,0.000009495648,0.0064328853],"genre_scores_gemma":[0.0094746705,0.9880455,0.00050287717,0.00023752842,0.0004858397,0.000005646399,0.000025750232,0.0000041082426,0.0012180206],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998123,0.00005792774,0.000014864154,0.000038251474,0.00005787743,0.000018768973],"domain_scores_gemma":[0.9991641,0.0006487206,0.00004460269,0.000033343294,0.000083572086,0.00002570018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005773011,0.00068819145,0.0007666076,0.0012590404,0.0003465495,0.0017168026,0.0009662524,0.001380444,0.0032950663],"category_scores_gemma":[0.00157232,0.00028553072,0.00026148258,0.0020968325,0.0025695942,0.0026523657,0.00086367904,0.0015525601,0.0007793375],"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":[0.000049466904,0.000031918258,0.00031849282,0.00847701,0.00006754112,0.0001520925,0.00027137596,0.00365049,0.0013019866,0.33650315,0.015683267,0.63349324],"study_design_scores_gemma":[0.00001049487,0.000027221833,0.00063980976,0.0026678708,0.000055279797,0.0005442456,0.00013945135,0.0010804207,0.00075766735,0.23460838,0.7594374,0.000031758085],"about_ca_topic_score_codex":0.0016909931,"about_ca_topic_score_gemma":0.0017162478,"teacher_disagreement_score":0.0032950663,"about_ca_system_score_codex":0.0010054432,"about_ca_system_score_gemma":0.0014506861,"threshold_uncertainty_score":0.011023104},"labels":[],"label_agreement":null},{"id":"W2316289089","doi":"10.1016/j.biosystems.2016.03.007","title":"The Double Homunculus model of self-reflective systems","year":2016,"lang":"en","type":"article","venue":"Biosystems","topic":"Cognitive Science and Education Research","field":"Neuroscience","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":"","keywords":"Object (grammar); Reflection (computer programming); Feature (linguistics); Computer science; Consciousness; Image (mathematics); Cognitive science; Artificial intelligence; Epistemology; Psychology; Philosophy; Linguistics","score_opus":0.11454974548947228,"score_gpt":0.35356317900849704,"score_spread":0.23901343351902476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2316289089","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":[0.17747328,0.0010886507,0.6588148,0.0035845342,0.00050919567,0.000059119327,0.0001886131,0.0005542987,0.15772742],"genre_scores_gemma":[0.96546894,0.00018132741,0.025175745,0.00017892082,0.00009958481,0.0000448558,0.00004041346,0.00003552296,0.008774822],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99964285,0.000089007954,0.0000148546915,0.00008378239,0.0001082998,0.000061153914],"domain_scores_gemma":[0.9993781,0.00019631766,0.00005618237,0.00016281809,0.00010900682,0.000097493314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005292842,0.00031024351,0.00038651194,0.0005582585,0.0005777582,0.0020083694,0.0013118141,0.0009925413,0.0060892794],"category_scores_gemma":[0.0015649779,0.00017064043,0.00048486012,0.000253798,0.0021684016,0.0033848735,0.001217826,0.00083096663,0.00071736594],"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":[0.000021181178,0.000007719038,0.0001988882,0.000021157397,0.000009132659,0.00006688695,0.00019863267,0.0032407593,0.0014578514,0.9893817,0.00034678922,0.005049398],"study_design_scores_gemma":[0.000012695039,0.000019812216,0.00024023947,0.000007788273,0.0000064237724,0.00011593835,0.00009463614,0.03629549,0.00049080316,0.96090627,0.0017999292,0.000010024718],"about_ca_topic_score_codex":0.00082491076,"about_ca_topic_score_gemma":0.00042848877,"teacher_disagreement_score":0.0060892794,"about_ca_system_score_codex":0.0005365663,"about_ca_system_score_gemma":0.000569242,"threshold_uncertainty_score":0.020370662},"labels":[],"label_agreement":null},{"id":"W2330827212","doi":"10.1016/j.biosystems.2016.04.006","title":"Ecological systems as computer networks: Long distance sea dispersal as a communication medium between island plant populations","year":2016,"lang":"en","type":"article","venue":"Biosystems","topic":"Chemical synthesis and alkaloids","field":"Chemistry","cited_by":7,"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":"Institut national de la recherche scientifique","keywords":"Biological dispersal; Seed dispersal; Ecology; Genetic diversity; Analogy; Mainland; Channel (broadcasting); Biology; Population; Computer science; Telecommunications","score_opus":0.021478508732243603,"score_gpt":0.24445167739007026,"score_spread":0.22297316865782665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330827212","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":[0.42708632,0.008528352,0.45467916,0.011308536,0.00038131,0.00007688718,0.0004725933,0.00042274647,0.09704412],"genre_scores_gemma":[0.9762265,0.00247546,0.01592283,0.00015206826,0.00011214874,0.000024708776,0.000052438787,0.000025314126,0.005008442],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998404,0.00008361741,0.0000058237097,0.00003056386,0.000024799449,0.000014840676],"domain_scores_gemma":[0.9989613,0.00062238716,0.00013866927,0.00009752453,0.00008511158,0.00009495054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030682524,0.00015870323,0.00021605362,0.00044597298,0.00054363365,0.0025181654,0.0003713405,0.0007023966,0.0038473983],"category_scores_gemma":[0.0016296392,0.00020192236,0.00021507693,0.00071113306,0.0013884697,0.003004583,0.00062401034,0.0005801169,0.00031121282],"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":[0.00004686782,0.000039603372,0.0036839563,0.0001947113,0.000059527953,0.00023066685,0.00078640366,0.07607312,0.008884509,0.87212443,0.003208871,0.03466736],"study_design_scores_gemma":[0.000021481372,0.000050554,0.003999111,0.000045930145,0.000042006617,0.00025455872,0.0006336742,0.24118881,0.0013765437,0.73282725,0.019527502,0.0000325338],"about_ca_topic_score_codex":0.0024154005,"about_ca_topic_score_gemma":0.0026681647,"teacher_disagreement_score":0.0038473983,"about_ca_system_score_codex":0.00085072574,"about_ca_system_score_gemma":0.0005247116,"threshold_uncertainty_score":0.012870789},"labels":[],"label_agreement":null},{"id":"W2398111584","doi":"10.1016/j.biosystems.2012.07.002","title":"Editorial","year":2012,"lang":"es","type":"editorial","venue":"Biosystems","topic":"","field":"","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":"Memorial University of Newfoundland","funders":"","keywords":"Computer science","score_opus":0.011511007611639418,"score_gpt":0.26397358488128436,"score_spread":0.25246257726964494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2398111584","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000070038106,0.005957039,0.00011866667,0.05388806,0.92956734,0.00003711804,0.00010251837,0.00011791591,0.010141266],"genre_scores_gemma":[0.001208671,0.005177155,0.00021020677,0.049389176,0.87749076,0.000052520525,0.00016586499,0.00011714985,0.066188574],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963153,0.0006852793,0.00026889352,0.0004498483,0.0018888412,0.00039188],"domain_scores_gemma":[0.98765707,0.0022423363,0.0010068438,0.0005385026,0.0061667897,0.0023884834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038519972,0.0031284317,0.0023093873,0.0035643035,0.0027323335,0.0070057255,0.002482114,0.01085478,0.05127132],"category_scores_gemma":[0.019974254,0.0010002452,0.0017898226,0.0012712349,0.0015254319,0.002382534,0.0017804175,0.0110883,0.03611967],"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":[0.000021428867,0.000004922129,0.000011417507,0.000047167185,0.000006021638,0.00005573347,0.0000029652872,0.0000052695655,0.00002302499,0.000078875,0.99674183,0.003001393],"study_design_scores_gemma":[0.000050319322,0.000015488558,0.00013717046,0.00016441707,0.000028128201,0.00014898405,0.00001490131,0.000047199723,0.00010081025,0.00043268848,0.9988525,0.000007428657],"about_ca_topic_score_codex":0.0018068425,"about_ca_topic_score_gemma":0.00384927,"teacher_disagreement_score":0.05127132,"about_ca_system_score_codex":0.0027464726,"about_ca_system_score_gemma":0.0028057538,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2414763642","doi":"10.1016/j.biosystems.2016.05.010","title":"Energy saving mechanisms, collective behavior and the variation range hypothesis in biological systems: A review","year":2016,"lang":"en","type":"review","venue":"Biosystems","topic":"Advanced Thermodynamics and Statistical Mechanics","field":"Physics and Astronomy","cited_by":86,"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":"Range (aeronautics); Variation (astronomy); Mechanism (biology); Bernoulli's principle; Collective behavior; Ecology; Energy (signal processing); Computer science; Biology; Physics","score_opus":0.03487132215314923,"score_gpt":0.28042072530008666,"score_spread":0.24554940314693743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2414763642","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":[0.0001651006,0.9987822,0.00021682288,0.00027243886,0.00008663759,0.0000018241554,0.000011715331,0.0000032357234,0.00046007967],"genre_scores_gemma":[0.0013283768,0.9978751,0.0001991511,0.00012497976,0.00019193001,0.0000037326265,0.00001598951,0.0000012001708,0.00025961443],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998418,0.000025802365,0.000021051606,0.000043562155,0.00005174516,0.000015947364],"domain_scores_gemma":[0.9995895,0.00024187699,0.00006554936,0.000010498443,0.00006678333,0.00002588536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005818229,0.00089466595,0.0014741261,0.0019237256,0.00036564193,0.0011984846,0.0012163508,0.0014606557,0.0025462601],"category_scores_gemma":[0.0009577117,0.000303132,0.00046487572,0.002810204,0.0010596581,0.0019975016,0.00093884877,0.0013398034,0.00080939796],"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":[0.00005906198,0.00007655801,0.00048226395,0.024211025,0.00013260501,0.00024904683,0.00014349456,0.001481721,0.0019859753,0.019881738,0.018983165,0.9323134],"study_design_scores_gemma":[0.000017672695,0.000098781085,0.0020860864,0.0058152513,0.00022965188,0.001373693,0.00020934345,0.00039736278,0.00075875915,0.02543522,0.96351695,0.0000612313],"about_ca_topic_score_codex":0.0015082202,"about_ca_topic_score_gemma":0.002342721,"teacher_disagreement_score":0.0025462601,"about_ca_system_score_codex":0.0006645183,"about_ca_system_score_gemma":0.0014337506,"threshold_uncertainty_score":0.00851804},"labels":[],"label_agreement":null},{"id":"W2508245841","doi":"10.1016/j.biosystems.2016.08.001","title":"Restarting and recentering genetic algorithm variations for DNA fragment assembly: The necessity of a multi-strategy approach","year":2016,"lang":"en","type":"article","venue":"Biosystems","topic":"Genomics and Phylogenetic Studies","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 Guelph; Brock University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fragment (logic); DNA; Algorithm; Computer science; Genetic algorithm; Computational biology; Artificial intelligence; Biology; Genetics; Machine learning","score_opus":0.029718749768323633,"score_gpt":0.25742860224304986,"score_spread":0.22770985247472622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2508245841","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":[0.039674677,0.00044560726,0.9564904,0.00018364671,0.00007575001,0.00012283534,0.000029866556,0.0019434659,0.001033755],"genre_scores_gemma":[0.14164823,0.00021591746,0.85589814,0.00025659008,0.000033984867,0.00016070908,0.00015648,0.00084993336,0.0007800226],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9953349,0.002339664,0.0003218672,0.0007755967,0.0009806243,0.00024727458],"domain_scores_gemma":[0.9929333,0.00340283,0.00041420216,0.0022794248,0.0007614556,0.0002088643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067864954,0.0015934128,0.0015405854,0.0011697498,0.0009129012,0.002055978,0.0032144606,0.0016413735,0.0016746544],"category_scores_gemma":[0.016292807,0.0006925618,0.0013370354,0.0010554187,0.0011703288,0.0021036612,0.0023293055,0.0030698339,0.001219446],"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":[0.0008895702,0.0006278553,0.0037006177,0.00047089483,0.00045290633,0.00046081006,0.0006646802,0.10095878,0.20604515,0.037597276,0.0013220712,0.6468094],"study_design_scores_gemma":[0.00012716031,0.00086930295,0.0014639616,0.00010385532,0.00027407988,0.0007244088,0.00020261602,0.81189895,0.13572207,0.035783004,0.012663075,0.00016755318],"about_ca_topic_score_codex":0.001299987,"about_ca_topic_score_gemma":0.0023512042,"teacher_disagreement_score":0.0067864954,"about_ca_system_score_codex":0.00094251084,"about_ca_system_score_gemma":0.0016393398,"threshold_uncertainty_score":0.035890818},"labels":[],"label_agreement":null},{"id":"W2513497485","doi":"10.1016/j.biosystems.2016.08.004","title":"C-DEVA: Detection, evaluation, visualization and annotation of clusters from biological networks","year":2016,"lang":"en","type":"article","venue":"Biosystems","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","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 Saskatchewan","funders":"National Natural Science Foundation of China","keywords":"Cluster analysis; Workflow; Visualization; Computer science; Data mining; Usability; Annotation; Biological data; Biological network; Hierarchical clustering; Machine learning; Artificial intelligence; Bioinformatics; Database; Biology","score_opus":0.01392423954136538,"score_gpt":0.2461583045431623,"score_spread":0.2322340650017969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2513497485","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":[0.036650218,0.00089612167,0.5965173,0.00079324056,0.00035634777,0.00090104615,0.054922633,0.30435047,0.0046125664],"genre_scores_gemma":[0.07045033,0.0005443327,0.8474932,0.0001898067,0.00007290875,0.0010511287,0.06496746,0.012122342,0.0031084898],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988148,0.00023966853,0.00009867225,0.00037114747,0.00035545445,0.00012025803],"domain_scores_gemma":[0.9955935,0.0018995479,0.00030112406,0.001105795,0.0007218598,0.00037824965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030192982,0.003030431,0.0016584394,0.00917065,0.002137958,0.004306287,0.0032624803,0.0014581354,0.011707505],"category_scores_gemma":[0.009012913,0.0010484089,0.002736376,0.004927682,0.00085721345,0.0022874353,0.003133124,0.0022758306,0.004766845],"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":[0.0025708664,0.00074578606,0.021295888,0.005532437,0.0018412785,0.001564369,0.002101508,0.029072503,0.07916335,0.026446026,0.27468124,0.55498475],"study_design_scores_gemma":[0.0004912391,0.0003454585,0.01686692,0.0004972032,0.0005528554,0.0017986782,0.0007932572,0.696936,0.09431008,0.043871384,0.14321259,0.0003242761],"about_ca_topic_score_codex":0.009221879,"about_ca_topic_score_gemma":0.0133835785,"teacher_disagreement_score":0.011707505,"about_ca_system_score_codex":0.0013315794,"about_ca_system_score_gemma":0.0027660644,"threshold_uncertainty_score":0.039165556},"labels":[],"label_agreement":null},{"id":"W2531761659","doi":"10.1016/j.biosystems.2016.10.001","title":"A modified estimation distribution algorithm based on extreme elitism","year":2016,"lang":"en","type":"article","venue":"Biosystems","topic":"Advanced Algorithms and Applications","field":"Engineering","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":"","keywords":"Estimation of distribution algorithm; Elitism; Selection (genetic algorithm); Mathematical optimization; Benchmark (surveying); Computer science; Population; Convergence (economics); Algorithm; Gaussian; Mathematics; Machine learning; Geography","score_opus":0.015181832737290915,"score_gpt":0.21552797389923792,"score_spread":0.200346141161947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2531761659","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":[0.0015572938,0.00004885898,0.9979684,0.000035498,0.00002490292,0.000014574616,0.000008206475,0.000106194966,0.00023611466],"genre_scores_gemma":[0.09490627,0.00020403514,0.8994589,0.00021501792,0.0001634203,0.00024199429,0.00024579203,0.00022030047,0.0043443185],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997045,0.0011116316,0.00019629466,0.0005514541,0.0009018203,0.00019384168],"domain_scores_gemma":[0.994086,0.0036346528,0.0002712414,0.00055185315,0.0013012574,0.00015494836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004535871,0.0010512407,0.0018207853,0.0016553231,0.00090684224,0.0016232838,0.0034552636,0.002304419,0.0043381187],"category_scores_gemma":[0.015016187,0.0008396419,0.0013304069,0.0016051022,0.0015717595,0.0030279702,0.003127061,0.0028086088,0.0018164668],"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":[0.00046754515,0.00020970064,0.002809772,0.00018993301,0.00024700127,0.00024271473,0.00027938932,0.44160008,0.007583021,0.06605888,0.0032970475,0.47701487],"study_design_scores_gemma":[0.000028102739,0.00004124289,0.0002790446,0.000013616619,0.000022697817,0.00010145813,0.000013957739,0.9805885,0.0016917181,0.015811177,0.0013831466,0.000025289657],"about_ca_topic_score_codex":0.0025103574,"about_ca_topic_score_gemma":0.0019662853,"teacher_disagreement_score":0.004535871,"about_ca_system_score_codex":0.0007997691,"about_ca_system_score_gemma":0.0016688743,"threshold_uncertainty_score":0.023988247},"labels":[],"label_agreement":null},{"id":"W2558482369","doi":"10.1016/j.biosystems.2016.11.006","title":"An efficient finite-difference strategy for sensitivity analysis of stochastic models of biochemical systems","year":2016,"lang":"en","type":"article","venue":"Biosystems","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":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Sensitivity (control systems); Parametric statistics; Computer science; Range (aeronautics); Parametric model; Stochastic modelling; Applied mathematics; Stochastic process; Mathematical optimization; Mathematics; Biological system; Statistics","score_opus":0.021981694982131747,"score_gpt":0.25580892588395765,"score_spread":0.2338272309018259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2558482369","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":[0.0026051053,0.000086362954,0.99622583,0.00007695923,0.00002257941,0.000034536763,0.000029302222,0.00010312189,0.00081618153],"genre_scores_gemma":[0.40834227,0.0005159921,0.5817848,0.00035332402,0.00014748075,0.000943108,0.00032770782,0.00057728065,0.0070080394],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988839,0.0006160694,0.00004877455,0.00011407392,0.00024624015,0.000090833855],"domain_scores_gemma":[0.9881343,0.010534516,0.00022068417,0.00026179067,0.0006147451,0.0002340472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004986799,0.0016306558,0.0023047873,0.001575737,0.00071905315,0.001189974,0.0023155932,0.0020088283,0.0036194664],"category_scores_gemma":[0.011421774,0.0011949689,0.0021139877,0.000895843,0.0017137375,0.0012957545,0.0030325095,0.0033256505,0.00049014064],"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":[0.00008377973,0.00012858609,0.00033571033,0.00015433245,0.00012105852,0.0001022245,0.00008349226,0.9108909,0.0042239316,0.060086418,0.0007495663,0.023040041],"study_design_scores_gemma":[0.0000038493945,0.0000076001634,0.000015571875,0.0000029607306,0.0000049734026,0.000004328143,0.0000016066876,0.99332136,0.00014806667,0.006365181,0.00012064181,0.0000037498487],"about_ca_topic_score_codex":0.0071865716,"about_ca_topic_score_gemma":0.005559605,"teacher_disagreement_score":0.0071865716,"about_ca_system_score_codex":0.0016927215,"about_ca_system_score_gemma":0.0020365599,"threshold_uncertainty_score":0.02637297},"labels":[],"label_agreement":null},{"id":"W2603750489","doi":"10.1016/j.biosystems.2017.03.004","title":"A biophysical approach to cancer dynamics: Quantum chaos and energy turbulence","year":2017,"lang":"en","type":"article","venue":"Biosystems","topic":"Biofield Effects and Biophysics","field":"Medicine","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":"McGill University","funders":"","keywords":"Interactome; Cancer; Biology; Computational biology; Epigenetics; Reprogramming; Computer science; Systems biology; Bioinformatics; Genetics; Cell","score_opus":0.018712845474546266,"score_gpt":0.2707268151452123,"score_spread":0.252013969670666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2603750489","genre_codex":"methods","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":[0.13629805,0.02223715,0.72374785,0.04163998,0.0020036432,0.000071641356,0.00026353836,0.0002794116,0.073458776],"genre_scores_gemma":[0.94882745,0.00843981,0.03279886,0.0013846792,0.001313755,0.000051774725,0.000043627515,0.000051247767,0.00708886],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998115,0.00005133323,0.000009759369,0.000029077415,0.000066186294,0.000032247764],"domain_scores_gemma":[0.9993358,0.00034447285,0.00007695998,0.00006713575,0.00009095358,0.00008469184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065299013,0.00033993155,0.00056399085,0.00089094124,0.0007755828,0.0020602793,0.0008042821,0.0014345769,0.0017397378],"category_scores_gemma":[0.0018792266,0.0002000333,0.0004513332,0.0005478945,0.0039580325,0.00410487,0.0015086045,0.0015347997,0.0001861049],"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":[0.0000073638525,0.000012724714,0.00027521772,0.000033658198,0.000008058047,0.000051990675,0.00013369684,0.009690978,0.0016321522,0.98360735,0.0008394372,0.003707292],"study_design_scores_gemma":[0.0000060197563,0.000016483747,0.0002908436,0.000018268689,0.000004158231,0.00005208833,0.00009370205,0.03903323,0.00023751256,0.95719457,0.00303981,0.000013421349],"about_ca_topic_score_codex":0.001535097,"about_ca_topic_score_gemma":0.0010019605,"teacher_disagreement_score":0.0020602793,"about_ca_system_score_codex":0.0011511364,"about_ca_system_score_gemma":0.00089862105,"threshold_uncertainty_score":0.008352041},"labels":[],"label_agreement":null},{"id":"W2611111245","doi":"10.1016/j.biosystems.2017.04.006","title":"Boredom begets creativity: A solution to the exploitation–exploration trade-off in predictive coding","year":2017,"lang":"en","type":"article","venue":"Biosystems","topic":"Mind wandering and attention","field":"Neuroscience","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":"Hospital for Sick Children; SickKids Foundation; University of Toronto","funders":"Università degli Studi di Torino","keywords":"Boredom; Pleasure; Predictive coding; Computer science; Creativity; Coding (social sciences); Mean squared prediction error; Artificial intelligence; Minification; Key (lock); Machine learning; Data science; Psychology; Social psychology; Mathematics; Computer security; Statistics","score_opus":0.09190679998057785,"score_gpt":0.3081519230670331,"score_spread":0.21624512308645524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611111245","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":[0.33434033,0.0025122985,0.56432843,0.022001937,0.0007682111,0.00006649641,0.000261256,0.0007252857,0.074995756],"genre_scores_gemma":[0.96875775,0.0002784446,0.02721913,0.0005179937,0.00016218098,0.000032626027,0.00006033629,0.00012345493,0.0028481283],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987948,0.00038808884,0.00006892251,0.0003283252,0.00027447147,0.00014538543],"domain_scores_gemma":[0.9893027,0.0066331686,0.0008096486,0.002000849,0.0005563449,0.0006973865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022631083,0.00064542284,0.0006806066,0.00068695005,0.0010762321,0.0060467566,0.0018221439,0.0026985237,0.008210423],"category_scores_gemma":[0.02275626,0.0006719733,0.00061535486,0.00070891913,0.0046810005,0.008118186,0.004974756,0.003157968,0.0008625621],"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":[0.00082108116,0.00017781646,0.008926945,0.00028619982,0.0001671148,0.0005911646,0.0021780941,0.014247347,0.026378665,0.74565524,0.004974444,0.19559585],"study_design_scores_gemma":[0.00006531182,0.000072084105,0.0023249935,0.00003800714,0.000034292803,0.0003112307,0.00039116174,0.03831071,0.00324764,0.9527244,0.0024378938,0.00004219137],"about_ca_topic_score_codex":0.00046200713,"about_ca_topic_score_gemma":0.00053246773,"teacher_disagreement_score":0.008210423,"about_ca_system_score_codex":0.0005964152,"about_ca_system_score_gemma":0.0008869725,"threshold_uncertainty_score":0.027466595},"labels":[],"label_agreement":null},{"id":"W2767138598","doi":"10.1016/j.biosystems.2017.10.013","title":"Network induction for epidemic profiles with a novel representation","year":2017,"lang":"en","type":"article","venue":"Biosystems","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","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 Guelph","funders":"","keywords":"Representation (politics); Extant taxon; Computer science; Focus (optics); Theoretical computer science; Space (punctuation); Graph; Computation; Artificial intelligence; Algorithm","score_opus":0.058565242196263384,"score_gpt":0.32378548882682984,"score_spread":0.2652202466305664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767138598","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":[0.00533435,0.000057111636,0.9927286,0.00018089284,0.000018017117,0.00005140079,0.00035461137,0.00035671602,0.0009183343],"genre_scores_gemma":[0.30897188,0.00044714304,0.6805068,0.00023285813,0.00016335736,0.0006102504,0.002681637,0.00034438336,0.0060415547],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916995,0.00023738349,0.000058028374,0.00025762033,0.00020268772,0.00007429102],"domain_scores_gemma":[0.9958538,0.0026829736,0.00034165202,0.000471657,0.0004816499,0.00016831052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014069249,0.0007822869,0.00083902763,0.00220936,0.0007989884,0.0016460841,0.0019125539,0.0011786243,0.0044851815],"category_scores_gemma":[0.009720164,0.0005023604,0.0012720205,0.0019233935,0.0007464432,0.0031457532,0.0019005627,0.0023246263,0.0012117397],"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":[0.00020085319,0.00023077131,0.0030140984,0.00024883225,0.000098493416,0.00022405574,0.00029339409,0.5054583,0.0056381132,0.2831562,0.0071803215,0.1942566],"study_design_scores_gemma":[0.0000064449705,0.000007781847,0.00011473629,0.000010299368,0.000008900024,0.000023117931,0.000010366949,0.93973476,0.00041630832,0.058949176,0.00071271905,0.0000053585713],"about_ca_topic_score_codex":0.0032318104,"about_ca_topic_score_gemma":0.0044023194,"teacher_disagreement_score":0.0044851815,"about_ca_system_score_codex":0.0013251266,"about_ca_system_score_gemma":0.0014129397,"threshold_uncertainty_score":0.015004456},"labels":[],"label_agreement":null},{"id":"W2769702185","doi":"10.1016/j.biosystems.2017.11.004","title":"Corrigendum to “A biophysical approach to cancer dynamics: Quantum chaos and energy turbulence” [BioSystems 156–157 (June–July) (2017) 1–22]","year":2017,"lang":"en","type":"erratum","venue":"Biosystems","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","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":"Concordia University","funders":"","keywords":"CHAOS (operating system); Turbulence; Statistical physics; Dynamics (music); Quantum; Energy (signal processing); Physics; Computer science; Quantum mechanics; Mechanics","score_opus":0.054860565569796425,"score_gpt":0.30117920201140536,"score_spread":0.24631863644160892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769702185","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":[0.000031310203,0.0023804377,0.0003262965,0.06234706,0.9306194,0.000019869318,0.00027361655,0.0001325159,0.0038694402],"genre_scores_gemma":[0.0028567899,0.011784291,0.0017810533,0.18941016,0.5171842,0.00017838828,0.0012142601,0.00062290824,0.27496794],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99543095,0.00069371687,0.00068170164,0.0007235686,0.0020774694,0.00039253978],"domain_scores_gemma":[0.9798465,0.0041818097,0.00078307564,0.0010124285,0.013290055,0.00088609284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033161354,0.0029967828,0.0028717865,0.005407957,0.0051000793,0.0052552777,0.0045524905,0.00961935,0.054698896],"category_scores_gemma":[0.03612463,0.0012662575,0.0030560698,0.0029078645,0.0032324416,0.0033077442,0.002951848,0.012261806,0.038267832],"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":[0.0000052062355,0.0000029562682,0.000012132946,0.000034895576,0.0000036160657,0.000033064192,0.0000059713248,0.000020499501,0.000010548105,0.00050493935,0.99782026,0.0015458999],"study_design_scores_gemma":[0.000021226437,0.00001677739,0.0004991711,0.00022477205,0.000035025456,0.00012991551,0.00004221405,0.00027415832,0.00014529756,0.0035847314,0.9949928,0.00003398979],"about_ca_topic_score_codex":0.04769283,"about_ca_topic_score_gemma":0.07029243,"teacher_disagreement_score":0.054698896,"about_ca_system_score_codex":0.007641259,"about_ca_system_score_gemma":0.0068088956,"threshold_uncertainty_score":0.18298602},"labels":[],"label_agreement":null},{"id":"W2888301048","doi":"10.1016/j.biosystems.2018.08.007","title":"Integration of intracellular signaling: Biological analogues of wires, processors and memories organized by a centrosome 3D reference system","year":2018,"lang":"en","type":"article","venue":"Biosystems","topic":"Plant and Biological Electrophysiology Studies","field":"Agricultural and Biological 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","keywords":"Centrosome; Microtubule; Soliton; Cytoskeleton; Computer science; Biology; Cell; Cell biology; Physics; Nanotechnology; Nonlinear system; Materials science; Cell cycle; Quantum mechanics; Genetics","score_opus":0.023928096327135637,"score_gpt":0.2014261238149923,"score_spread":0.17749802748785667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888301048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68273914,0.0013566153,0.27670884,0.00080858317,0.0002412132,0.000060891194,0.00028686013,0.0008127238,0.036985144],"genre_scores_gemma":[0.9594408,0.0004409165,0.034459002,0.00007295087,0.000023229759,0.00004399586,0.00011265088,0.000068265574,0.005338172],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99988294,0.00001871778,0.0000067408364,0.00003277412,0.0000427042,0.00001607007],"domain_scores_gemma":[0.99984527,0.000026231362,0.0000310889,0.000047263216,0.000029178766,0.0000208685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012877876,0.00021767638,0.00022782292,0.0003213517,0.00047138505,0.0011573678,0.00074130134,0.0005676854,0.0023910166],"category_scores_gemma":[0.00037902704,0.00015681001,0.00019916128,0.00038502656,0.00065528305,0.0010026466,0.00057205535,0.00037591203,0.00051360583],"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":[0.00013219468,0.000031423464,0.000357909,0.00009247081,0.000016797037,0.00028751174,0.00019592729,0.013364687,0.70114607,0.26342157,0.0007286784,0.020224737],"study_design_scores_gemma":[0.00005429178,0.0003139642,0.0013831517,0.000020320584,0.000048246406,0.0005473923,0.0002682861,0.10417034,0.81302434,0.043370325,0.036724713,0.00007464415],"about_ca_topic_score_codex":0.00068440905,"about_ca_topic_score_gemma":0.00089576194,"teacher_disagreement_score":0.0023910166,"about_ca_system_score_codex":0.0006369113,"about_ca_system_score_gemma":0.00039025582,"threshold_uncertainty_score":0.007998705},"labels":[],"label_agreement":null},{"id":"W2892550853","doi":"10.1016/j.biosystems.2018.09.014","title":"Hyper-restorative non-equilibrium state as a driving force of biological morphogenesis","year":2018,"lang":"en","type":"review","venue":"Biosystems","topic":"Biofield Effects and Biophysics","field":"Medicine","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":"Memorial University of Newfoundland","funders":"","keywords":"Complexification; Living systems; Physics; Classical mechanics; Process (computing); Biological system; Statistical physics; Computer science; Biology; Quantum mechanics; Artificial intelligence","score_opus":0.06210580519066211,"score_gpt":0.338223135555519,"score_spread":0.2761173303648569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892550853","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":[0.002235738,0.9886579,0.0025449668,0.00071022584,0.00033833104,0.000008497452,0.000023339386,0.000021655485,0.005459298],"genre_scores_gemma":[0.030159788,0.9660959,0.0010996226,0.00025914295,0.0003188315,0.000017463719,0.00003362223,0.0000073289607,0.0020082667],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9999021,0.000020092628,0.00000805365,0.000019616104,0.000033135228,0.000016896194],"domain_scores_gemma":[0.99989355,0.000054510594,0.00001757402,0.000005418641,0.00001972677,0.000009301876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002989766,0.00039433874,0.0006206098,0.0008142762,0.00035363086,0.0008938999,0.0007062501,0.00078136165,0.0016984184],"category_scores_gemma":[0.00038810793,0.00015813662,0.00023305764,0.000720735,0.0010337131,0.0011859658,0.00079802546,0.0010031703,0.0005226576],"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":[0.00009271025,0.000072752875,0.0007090096,0.016746646,0.00009652512,0.00079441816,0.00037572335,0.002006313,0.027945738,0.13923466,0.013607358,0.7983182],"study_design_scores_gemma":[0.000015130739,0.000117549,0.0013723299,0.0023043784,0.000114234324,0.0020362656,0.00029993468,0.0014551487,0.0155415125,0.05839386,0.91829103,0.00005861847],"about_ca_topic_score_codex":0.00046252707,"about_ca_topic_score_gemma":0.0007541882,"teacher_disagreement_score":0.0016984184,"about_ca_system_score_codex":0.00050308113,"about_ca_system_score_gemma":0.00061480614,"threshold_uncertainty_score":0.005681753},"labels":[],"label_agreement":null},{"id":"W2894747430","doi":"10.1016/j.biosystems.2018.10.003","title":"A mathematical model of the biochemical network underlying left–right asymmetry establishment in mammals","year":2018,"lang":"en","type":"article","venue":"Biosystems","topic":"Congenital heart defects research","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 Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; University of Lethbridge","keywords":"NODAL; Bistability; Asymmetry; Physics; Steady state (chemistry); Control theory (sociology); Biology; Anatomy; Computer science; Chemistry; Control (management)","score_opus":0.031657517642523524,"score_gpt":0.3001959088823263,"score_spread":0.2685383912398028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894747430","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":[0.16956328,0.001735338,0.75186276,0.0056333444,0.00017722075,0.00007875253,0.0011973112,0.00038244942,0.06936948],"genre_scores_gemma":[0.9334207,0.0017649588,0.039072957,0.00038788936,0.00014096165,0.00023803447,0.00040173932,0.000079820355,0.024492946],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983644,0.000048270416,0.000008623267,0.00003798687,0.00003543654,0.000033314034],"domain_scores_gemma":[0.999488,0.00024230282,0.00009377041,0.0000406764,0.00006924815,0.00006600606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005733294,0.00046689322,0.00080940756,0.00073118485,0.000733344,0.0015341882,0.0015587163,0.001836636,0.006113442],"category_scores_gemma":[0.0015097017,0.0004465741,0.0009240857,0.0006855263,0.0014101282,0.0017894027,0.0008629593,0.0009629426,0.0009990418],"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":[0.00003301629,0.000027878494,0.00058551243,0.00006705163,0.000025904554,0.00018451767,0.000070964365,0.43958002,0.0038732856,0.5509388,0.0012552642,0.0033578181],"study_design_scores_gemma":[0.000022257665,0.000018391782,0.00027984552,0.000008601864,0.000014179724,0.00008173123,0.000023797238,0.83836305,0.00022643506,0.15986337,0.0010820156,0.000016301925],"about_ca_topic_score_codex":0.005859147,"about_ca_topic_score_gemma":0.0034569667,"teacher_disagreement_score":0.006113442,"about_ca_system_score_codex":0.0012699878,"about_ca_system_score_gemma":0.0014476493,"threshold_uncertainty_score":0.020451486},"labels":[],"label_agreement":null},{"id":"W2895312986","doi":"10.1016/j.biosystems.2018.09.018","title":"Computational, theoretical, and experimental approaches to morphogenesis","year":2018,"lang":"en","type":"editorial","venue":"Biosystems","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","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":"Memorial University of Newfoundland","funders":"","keywords":"Morphogenesis; Computer science; Biology","score_opus":0.0338628785731052,"score_gpt":0.23863267665858356,"score_spread":0.20476979808547835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895312986","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000033192824,0.021023331,0.000539066,0.04125891,0.9349937,0.000010765275,0.000026571131,0.000033134664,0.002081369],"genre_scores_gemma":[0.00079445,0.014819233,0.0003667337,0.018933421,0.95416015,0.00002526691,0.000022662809,0.00003378018,0.01084432],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9957487,0.0008663048,0.0004980953,0.00036082388,0.0023115762,0.00021456847],"domain_scores_gemma":[0.9794536,0.013425688,0.00080592657,0.0005594092,0.004320383,0.0014350269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006906251,0.0022591646,0.0022411528,0.0035914981,0.0029253713,0.006694398,0.0036828087,0.015043809,0.00690395],"category_scores_gemma":[0.021117575,0.0010076915,0.0015379566,0.0014098879,0.0070000887,0.0048738657,0.002092449,0.023848962,0.0042710765],"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":[0.00003256082,0.000012361924,0.00001700574,0.00036507036,0.000018212646,0.00011552823,0.000028835599,0.00007699987,0.00007968289,0.006379351,0.9812201,0.011654281],"study_design_scores_gemma":[0.000028744847,0.000014682174,0.000092786846,0.0003446508,0.000019821227,0.00015462979,0.000029710442,0.00018972196,0.000113639195,0.008397669,0.9905996,0.000014242087],"about_ca_topic_score_codex":0.0016167084,"about_ca_topic_score_gemma":0.0056808325,"teacher_disagreement_score":0.015043809,"about_ca_system_score_codex":0.0031627691,"about_ca_system_score_gemma":0.0029057097,"threshold_uncertainty_score":0.036524236},"labels":[],"label_agreement":null},{"id":"W2897618855","doi":"10.1016/j.biosystems.2018.10.013","title":"The publications of embryologist Lev V. Beloussov","year":2018,"lang":"en","type":"article","venue":"Biosystems","topic":"Earth Systems and Cosmic Evolution","field":"Earth and Planetary Sciences","cited_by":3,"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":"University of Manitoba","keywords":"Computer science; Information retrieval","score_opus":0.018840872600836847,"score_gpt":0.22229759765544715,"score_spread":0.20345672505461032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897618855","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":[0.0034417983,0.37943465,0.007497463,0.23348364,0.16598035,0.000031624855,0.001002187,0.0003764612,0.20875184],"genre_scores_gemma":[0.060732294,0.23892483,0.0035281037,0.041905653,0.058991246,0.00007573444,0.0007869824,0.00043509982,0.59462005],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9992269,0.00013077653,0.00003871477,0.00028224388,0.00026373865,0.000057645575],"domain_scores_gemma":[0.9983109,0.00058234646,0.00014318658,0.00013523074,0.00049727433,0.00033117554],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0013546894,0.00070871913,0.00069039443,0.0016596912,0.0013807919,0.0025596179,0.00076183886,0.0017596027,0.016216917],"category_scores_gemma":[0.0036171149,0.0003521095,0.00031283585,0.00080592005,0.0024444633,0.002713238,0.0017443092,0.005116709,0.013161467],"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":[0.00006444882,0.000021396096,0.0003782049,0.00025151935,0.000017002485,0.00015708055,0.00025155008,0.0003068433,0.00075725565,0.069996685,0.8469733,0.08082478],"study_design_scores_gemma":[0.0000037192592,0.000009720889,0.00021414853,0.00008016888,0.0000027453248,0.00016466255,0.000044442888,0.000058257287,0.00030514624,0.0060017533,0.9931074,0.000007950599],"about_ca_topic_score_codex":0.0025483076,"about_ca_topic_score_gemma":0.0017422271,"teacher_disagreement_score":0.9983403,"about_ca_system_score_codex":0.0018002506,"about_ca_system_score_gemma":0.001786119,"threshold_uncertainty_score":0.054250956},"labels":[],"label_agreement":null},{"id":"W2898576544","doi":"10.1016/j.biosystems.2018.10.006","title":"Acquisition and reconstruction of 4D surfaces of axolotl embryos with the flipping stage robotic microscope","year":2018,"lang":"en","type":"article","venue":"Biosystems","topic":"Advanced Fluorescence Microscopy Techniques","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":"Red River College","funders":"University of Kentucky","keywords":"Axolotl; Embryo; Stage (stratigraphy); Embryogenesis; Microscope; Biology; Cell biology; Anatomy; Optics; Regeneration (biology); Physics","score_opus":0.007268835830041433,"score_gpt":0.24809545456552523,"score_spread":0.2408266187354838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898576544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5168628,0.0005100391,0.4532925,0.0005967786,0.0001863388,0.00034497512,0.00863577,0.0054169334,0.014153985],"genre_scores_gemma":[0.34853584,0.0005882331,0.63404685,0.00010272276,0.000030463469,0.00039580822,0.0066002556,0.0014824907,0.008217321],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998338,0.000007996576,0.0000125204015,0.0000354908,0.0000787168,0.00003145738],"domain_scores_gemma":[0.9997588,0.00005229862,0.000027760758,0.00006777632,0.00006563959,0.000027750804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021517539,0.0005810249,0.00036618175,0.00084202434,0.0005576903,0.0006515901,0.00058000605,0.0006369056,0.0071269805],"category_scores_gemma":[0.00027849738,0.0006816114,0.00055157073,0.0005433707,0.00028921932,0.0003233591,0.00065228785,0.0010833467,0.0012954385],"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":[0.000112984286,0.00004168575,0.0010860035,0.00019777573,0.000025923466,0.00023848983,0.00017212708,0.003430069,0.96126413,0.001256166,0.0019038938,0.030270768],"study_design_scores_gemma":[0.00005481197,0.00018905883,0.04448419,0.000077841425,0.000059714752,0.0015143687,0.00025900346,0.0911085,0.821943,0.0015951741,0.038600806,0.000113694194],"about_ca_topic_score_codex":0.0025336407,"about_ca_topic_score_gemma":0.005188182,"teacher_disagreement_score":0.0071269805,"about_ca_system_score_codex":0.0004690194,"about_ca_system_score_gemma":0.0008655813,"threshold_uncertainty_score":0.023842156},"labels":[],"label_agreement":null},{"id":"W2910634931","doi":"10.1016/j.biosystems.2018.12.002","title":"Biological computation and the foundations of biological organization: The legacy of the journal BioSystems","year":2019,"lang":"en","type":"editorial","venue":"Biosystems","topic":"Scientific Computing and Data Management","field":"Decision Sciences","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":"Memorial University of Newfoundland","funders":"","keywords":"Computation; Computer science; Data science; Management science; Computational biology; Biology; Engineering; Algorithm","score_opus":0.10641829360039468,"score_gpt":0.3592088934099603,"score_spread":0.25279059980956564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910634931","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000028415014,0.016999032,0.00038598507,0.059776377,0.9218837,0.0000053038843,0.000027621052,0.000027231445,0.0008662326],"genre_scores_gemma":[0.0006430105,0.011788234,0.00019386187,0.009187286,0.9748649,0.0000065254458,0.000013792333,0.000029396522,0.0032729702],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99257267,0.0016626876,0.0009006716,0.0006947983,0.003874858,0.00029432797],"domain_scores_gemma":[0.9052011,0.05621898,0.0023616753,0.0017961967,0.028469397,0.005952735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012231039,0.0024507863,0.003129153,0.005627903,0.0031693652,0.015845561,0.003650861,0.012452246,0.0064783916],"category_scores_gemma":[0.048910256,0.0011573028,0.0019486656,0.0031824154,0.006508739,0.006697456,0.0019742213,0.02534146,0.0041175443],"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":[0.00004473771,0.000011147497,0.000030412835,0.0004038082,0.000035065335,0.00008468757,0.000040885152,0.00009001406,0.00006868426,0.005229132,0.98388404,0.010077416],"study_design_scores_gemma":[0.000046214438,0.000019070367,0.00015431589,0.00062824547,0.00005645957,0.00018640482,0.00008440441,0.00044275707,0.00014021482,0.015750153,0.9824608,0.00003083267],"about_ca_topic_score_codex":0.00336688,"about_ca_topic_score_gemma":0.0074709607,"teacher_disagreement_score":0.015845561,"about_ca_system_score_codex":0.0047335355,"about_ca_system_score_gemma":0.0066733267,"threshold_uncertainty_score":0.06468469},"labels":[],"label_agreement":null},{"id":"W2949598351","doi":"10.1016/j.biosystems.2019.103982","title":"Molecular orbitals of delocalized electron clouds in neuronal domains","year":2019,"lang":"en","type":"article","venue":"Biosystems","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","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":"Delocalized electron; Physics; Electron; Quantum mechanics; Electromagnetic field; Dipole; Quantum; Atomic orbital; Dephasing; Quantum electrodynamics; Classical mechanics","score_opus":0.019194480509484805,"score_gpt":0.29419233333100175,"score_spread":0.27499785282151695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949598351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9308216,0.0004457656,0.03372315,0.00060564163,0.00010156837,0.000032241056,0.00015727105,0.00015312077,0.033959627],"genre_scores_gemma":[0.9948085,0.00019951125,0.0030775948,0.00007276147,0.00001515822,0.000030763164,0.00008059492,0.000021393482,0.0016937623],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998549,0.000022024427,0.000005617683,0.000015341986,0.000039290804,0.00006273159],"domain_scores_gemma":[0.99972934,0.00008788283,0.000026697948,0.0000499455,0.000035382363,0.00007072266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033338778,0.0003183156,0.00037061019,0.0011516568,0.0011165193,0.0013955741,0.0009873695,0.00063984055,0.0048003104],"category_scores_gemma":[0.00066149345,0.0002266601,0.00021955905,0.0008259471,0.0014040017,0.0011738631,0.0011852968,0.0008952479,0.00035491752],"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":[0.00045437008,0.00014593374,0.0023335298,0.00010899122,0.000027797489,0.0005929945,0.00031501643,0.018600632,0.03285771,0.93180704,0.0013755836,0.011380398],"study_design_scores_gemma":[0.00011772712,0.00013243083,0.0070856363,0.00007247385,0.000025533272,0.00052740757,0.0012326242,0.17526956,0.015839381,0.7965893,0.0030345551,0.00007338327],"about_ca_topic_score_codex":0.0006576674,"about_ca_topic_score_gemma":0.00092320965,"teacher_disagreement_score":0.0048003104,"about_ca_system_score_codex":0.0006753477,"about_ca_system_score_gemma":0.00034743754,"threshold_uncertainty_score":0.016058683},"labels":[],"label_agreement":null},{"id":"W2950002708","doi":"10.1016/j.biosystems.2019.103981","title":"How signals of calcium ions initiate the beats of cilia and flagella","year":2019,"lang":"en","type":"article","venue":"Biosystems","topic":"Microtubule and mitosis dynamics","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":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Serbian Academy of Sciences and Arts; Provincial Secretariat for Higher Education and Scientific Research, Autonomous Province of Vojvodina; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja","keywords":"Flagellum; Axoneme; Cilium; Microtubule; Dynein; Motile cilium; Intraflagellar transport; Cell biology; Biophysics; Biology; Organelle; Tubulin; Chemistry; Biochemistry","score_opus":0.01288946741534031,"score_gpt":0.2290226433035286,"score_spread":0.21613317588818828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950002708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8942335,0.0049701007,0.046208072,0.0053447396,0.0018333511,0.00010469773,0.00043628342,0.0008663112,0.046002965],"genre_scores_gemma":[0.98507243,0.00092283176,0.003658773,0.0003124504,0.00013027978,0.000027976948,0.00012467119,0.00007849023,0.009672093],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997031,0.000032760727,0.0000111017835,0.000051728457,0.00011927737,0.0000819994],"domain_scores_gemma":[0.999524,0.00012186247,0.00006509263,0.000041100648,0.00009805568,0.0001499633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029208124,0.00020949602,0.00022109551,0.0004958953,0.0007189898,0.0022286717,0.00061745185,0.0012590392,0.0030913036],"category_scores_gemma":[0.0013322212,0.00041662873,0.00028937266,0.00026012567,0.00068039156,0.001858028,0.0009745502,0.0010005182,0.001290265],"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":[0.00046376337,0.000041446387,0.001987462,0.00013136273,0.000023956649,0.00056364207,0.00040306913,0.0013866633,0.930459,0.04660422,0.0015158992,0.016419519],"study_design_scores_gemma":[0.00032942605,0.00035994445,0.034200463,0.0001452109,0.00007065099,0.00082253694,0.0018068128,0.03316253,0.82044804,0.044974744,0.063514575,0.00016506338],"about_ca_topic_score_codex":0.0014799831,"about_ca_topic_score_gemma":0.0021062372,"teacher_disagreement_score":0.0030913036,"about_ca_system_score_codex":0.0009695496,"about_ca_system_score_gemma":0.0006737364,"threshold_uncertainty_score":0.0103414655},"labels":[],"label_agreement":null},{"id":"W2952990015","doi":"10.1016/j.biosystems.2018.08.006","title":"Nonlinear calcium ion waves along actin filaments control active hair–bundle motility","year":2018,"lang":"en","type":"article","venue":"Biosystems","topic":"Liquid Crystal Research Advancements","field":"Materials Science","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":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Serbian Academy of Sciences and Arts; Provincial Secretariat for Higher Education and Scientific Research, Autonomous Province of Vojvodina; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja","keywords":"Stereocilia (inner ear); Bundle; Inner ear; Mechanotransduction; Myosin; Context (archaeology); Biophysics; Actin; Hair cell; Calcium; Chemistry; Anatomy; Materials science; Neuroscience; Biology; Biochemistry","score_opus":0.034766048917010156,"score_gpt":0.32263670724928173,"score_spread":0.28787065833227155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952990015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9815863,0.0003223178,0.0129469875,0.00030004323,0.00007394506,0.000019927606,0.000057376485,0.000109404566,0.004583732],"genre_scores_gemma":[0.99476707,0.0002268859,0.0019707405,0.000045984678,0.000018781242,0.000008963512,0.000035580357,0.000028332337,0.0028976216],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999213,0.000006458116,0.0000037678835,0.000015201872,0.000026767071,0.000026419299],"domain_scores_gemma":[0.9998512,0.000033965796,0.000041473333,0.000011781926,0.000028075912,0.00003337176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010654463,0.00014963823,0.00012399683,0.00020774301,0.00029680197,0.00071382563,0.00040079444,0.00035157765,0.0015874713],"category_scores_gemma":[0.00039238972,0.0001904353,0.000104301806,0.00015056267,0.00037861423,0.0006343703,0.000434569,0.00032000465,0.00042990193],"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":[0.00008202422,0.000017101944,0.00068709225,0.000015586742,0.00000259108,0.000043656015,0.00004957558,0.0005116521,0.9935493,0.001446546,0.00014967645,0.0034452141],"study_design_scores_gemma":[0.00019151834,0.00019203997,0.0323712,0.000020131787,0.000024007502,0.00015241036,0.00029969678,0.117563285,0.83858466,0.0056954315,0.0048613874,0.000044283872],"about_ca_topic_score_codex":0.0012053985,"about_ca_topic_score_gemma":0.002311236,"teacher_disagreement_score":0.0015874713,"about_ca_system_score_codex":0.00059080217,"about_ca_system_score_gemma":0.00028226944,"threshold_uncertainty_score":0.0053106546},"labels":[],"label_agreement":null},{"id":"W3014165712","doi":"10.1016/j.biosystems.2020.104133","title":"A centrality based multi-objective approach to disease gene association","year":2020,"lang":"en","type":"article","venue":"Biosystems","topic":"Bioinformatics and Genomic Networks","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":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Betweenness centrality; Centrality; Crossover; Computer science; Disease; Flexibility (engineering); Association (psychology); Benchmark (surveying); Artificial intelligence; Machine learning; Data mining; Medicine; Mathematics; Psychology; Statistics","score_opus":0.01754718879547524,"score_gpt":0.22347355742280445,"score_spread":0.20592636862732921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014165712","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":[0.008188157,0.0002901328,0.9903729,0.00027688546,0.000033585693,0.00002753719,0.00009263301,0.000097666845,0.00062043563],"genre_scores_gemma":[0.44692528,0.0006273258,0.5441885,0.00028474734,0.00032014088,0.00033317113,0.00059966685,0.00021241806,0.0065086805],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980252,0.0010971472,0.00007260114,0.0002756253,0.0004155044,0.00011400325],"domain_scores_gemma":[0.9923079,0.0064122668,0.00030980192,0.00017142596,0.00059838593,0.0002001634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003313824,0.0011978477,0.001894366,0.0032213205,0.0009730383,0.0016416063,0.0022706178,0.0016960285,0.002436589],"category_scores_gemma":[0.008912403,0.0006627824,0.0012010438,0.0027409967,0.00091899186,0.0013875087,0.0017790393,0.0015328526,0.0003611124],"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":[0.000083312516,0.00011995262,0.0014750677,0.00009237099,0.00024159314,0.00011567326,0.00006420448,0.91324466,0.0011689619,0.035291277,0.0012376589,0.046865296],"study_design_scores_gemma":[0.0000068963923,0.000013267333,0.00011329298,0.0000036396582,0.0000141437595,0.000013110539,0.0000048421734,0.9894058,0.000083681414,0.010164384,0.00017281444,0.0000040396835],"about_ca_topic_score_codex":0.008643871,"about_ca_topic_score_gemma":0.009513315,"teacher_disagreement_score":0.008643871,"about_ca_system_score_codex":0.0013521004,"about_ca_system_score_gemma":0.0016157812,"threshold_uncertainty_score":0.017525375},"labels":[],"label_agreement":null},{"id":"W3022962594","doi":"10.1016/j.biosystems.2020.104148","title":"A search for the physical basis of the genetic code","year":2020,"lang":"en","type":"article","venue":"Biosystems","topic":"RNA and protein synthesis mechanisms","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 Alberta","funders":"","keywords":"Basis (linear algebra); Code (set theory); Computer science; Genetic code; Computational biology; Artificial intelligence; Biology; Mathematics; Genetics; Programming language; DNA; Set (abstract data type)","score_opus":0.02924242929845135,"score_gpt":0.2589613013834254,"score_spread":0.22971887208497402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022962594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43677968,0.03477211,0.39938,0.043544892,0.0023770873,0.00009333421,0.00040221852,0.00073469843,0.08191595],"genre_scores_gemma":[0.91649395,0.008731865,0.06525067,0.002288161,0.00088001066,0.00011817147,0.00020566199,0.00008102605,0.005950462],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99950755,0.00011118656,0.000018876646,0.00015486889,0.00017069161,0.00003687186],"domain_scores_gemma":[0.99744296,0.0016431828,0.00017816883,0.00038766596,0.00020058098,0.00014746648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012557805,0.00037341705,0.00064010953,0.0012127045,0.0013137851,0.0021157728,0.0017256144,0.0021546776,0.0036621005],"category_scores_gemma":[0.0045588566,0.00053458073,0.00055360724,0.00064714655,0.006490996,0.0054181586,0.0012703545,0.0031125557,0.0007924202],"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":[0.000080023725,0.000052557672,0.0009481576,0.00013695452,0.000020584766,0.00023897436,0.00013501088,0.003218934,0.016092205,0.96386683,0.0007303653,0.014479409],"study_design_scores_gemma":[0.00003907424,0.00006820143,0.0008185135,0.000046265926,0.000016292077,0.0002982984,0.00014072986,0.0077384193,0.0063787764,0.9711459,0.013278496,0.00003107961],"about_ca_topic_score_codex":0.0005645897,"about_ca_topic_score_gemma":0.00041467865,"teacher_disagreement_score":0.0036621005,"about_ca_system_score_codex":0.0012208638,"about_ca_system_score_gemma":0.0017298269,"threshold_uncertainty_score":0.01225096},"labels":[],"label_agreement":null},{"id":"W3031009407","doi":"10.1016/j.biosystems.2020.104169","title":"French flag gradients and Turing reaction-diffusion versus differentiation waves as models of morphogenesis","year":2020,"lang":"en","type":"article","venue":"Biosystems","topic":"Developmental Biology and Gene Regulation","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 Manitoba","funders":"National Science Foundation","keywords":"Turing; Reaction–diffusion system; Computer science; Morphogenesis; Pattern formation; Statistical physics; Physics; Biology; Quantum mechanics","score_opus":0.017160975348954104,"score_gpt":0.21997922937404996,"score_spread":0.20281825402509585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3031009407","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":[0.42369476,0.005649898,0.46067724,0.008891641,0.0006467717,0.00010483858,0.00027547288,0.00084202056,0.0992174],"genre_scores_gemma":[0.9574738,0.0012926561,0.017709717,0.000306016,0.00011133283,0.000052905565,0.000057559166,0.00009520305,0.022900943],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998185,0.00006798313,0.0000064293936,0.000018508612,0.000050312916,0.000038348466],"domain_scores_gemma":[0.999706,0.00013399324,0.00005063412,0.00002920351,0.000029959185,0.000050195835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035737973,0.00065702025,0.00034137134,0.00089261343,0.00055840326,0.0016486903,0.00078713655,0.0013684292,0.002158722],"category_scores_gemma":[0.0009329275,0.00029777075,0.00052925566,0.00047375562,0.0015846111,0.0015914948,0.00075311697,0.0009433531,0.0004368142],"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":[0.000069039525,0.000012665915,0.00023871449,0.000038279828,0.0000075086086,0.00009452995,0.0001347856,0.035813697,0.017075213,0.9402593,0.00081426086,0.0054419525],"study_design_scores_gemma":[0.000072733914,0.00007013027,0.0005117014,0.000016313577,0.000015987549,0.00015771533,0.00014312565,0.3834335,0.009157409,0.5987251,0.00763883,0.00005740107],"about_ca_topic_score_codex":0.0050239284,"about_ca_topic_score_gemma":0.0031728246,"teacher_disagreement_score":0.0050239284,"about_ca_system_score_codex":0.0016909353,"about_ca_system_score_gemma":0.00052986573,"threshold_uncertainty_score":0.012268662},"labels":[],"label_agreement":null},{"id":"W3047208477","doi":"10.1016/j.biosystems.2020.104219","title":"The evolutionary dynamics of social systems via reflexive transformation of external reality","year":2020,"lang":"en","type":"article","venue":"Biosystems","topic":"Scientific Research and Philosophical Inquiry","field":"Computer Science","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":"Memorial University of Newfoundland","funders":"","keywords":"Reflexivity; Epistemology; Sociology; Opposition (politics); Biosocial theory; Cognitive science; Social psychology; Psychology; Social science; Political science; Philosophy; Politics","score_opus":0.08810705017699472,"score_gpt":0.3286791963120025,"score_spread":0.24057214613500777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047208477","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":[0.28153273,0.0009436624,0.4740931,0.010324157,0.00017871363,0.00018689792,0.00013569728,0.00023680182,0.23236817],"genre_scores_gemma":[0.97704315,0.00016537023,0.019211095,0.00012969009,0.000029644103,0.000069348294,0.00003457583,0.00005722001,0.0032598614],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9954064,0.0029149114,0.000109975874,0.00068383163,0.00058176566,0.0003031306],"domain_scores_gemma":[0.9903908,0.0055903546,0.00076987146,0.002171023,0.0006542135,0.0004237953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061120195,0.0002857034,0.00043631133,0.0012092602,0.0020391014,0.0071294205,0.0016312368,0.0015114516,0.006193577],"category_scores_gemma":[0.018831667,0.0004799517,0.00076832186,0.0007920231,0.026763879,0.0097631,0.004458322,0.0024680195,0.00051270216],"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":[0.000009164906,0.000010957601,0.0003471299,0.000026074722,0.000012772673,0.000050304312,0.0037597155,0.0017215958,0.00048656468,0.99034166,0.00012096748,0.0031130072],"study_design_scores_gemma":[0.000010551888,0.0000127273515,0.00045081842,0.000016882903,0.0000069945813,0.00004735356,0.0013052865,0.00521027,0.0002366942,0.99014974,0.0025422163,0.000010410305],"about_ca_topic_score_codex":0.0017586162,"about_ca_topic_score_gemma":0.0011964057,"teacher_disagreement_score":0.0071294205,"about_ca_system_score_codex":0.0023311025,"about_ca_system_score_gemma":0.002040301,"threshold_uncertainty_score":0.032323837},"labels":[],"label_agreement":null},{"id":"W3081682657","doi":"10.1016/j.biosystems.2020.104235","title":"Gene-regulatory context of honey bee worker sterility","year":2020,"lang":"en","type":"article","venue":"Biosystems","topic":"Insect and Arachnid Ecology and Behavior","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":"Biology; Context (archaeology); Sterility; Gene; Honey bee; Genetics; Gene regulatory network; Kin selection; Inclusive fitness; Evolutionary biology; Ecology; Gene expression","score_opus":0.018544754339960005,"score_gpt":0.2351235876630527,"score_spread":0.2165788333230927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081682657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99673814,0.00020564016,0.00077423564,0.00007392618,0.000010581082,0.0000069306984,0.00023392371,0.00004181727,0.0019147454],"genre_scores_gemma":[0.99870384,0.000049588485,0.00025228906,0.000037995876,0.0000070929773,0.0000055156884,0.00016317895,0.000017370698,0.0007630802],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998702,0.00002746872,0.000006951144,0.00004152422,0.000021425207,0.000032411095],"domain_scores_gemma":[0.9997009,0.00012463005,0.000054540495,0.000018080631,0.000019293317,0.00008253325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000106537926,0.00024660595,0.00020593886,0.0006237024,0.00020383295,0.00032505105,0.0002833974,0.00028180398,0.0032083597],"category_scores_gemma":[0.00027479584,0.00019649266,0.00020426992,0.00016783508,0.00046654668,0.00013521139,0.00028434955,0.0004388757,0.00048801178],"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":[0.00017178498,0.000024090134,0.0015570843,0.000010188766,0.000004292825,0.00016835878,0.000026721198,0.00011869017,0.9963825,0.000681196,0.000039427363,0.0008157787],"study_design_scores_gemma":[0.000099756064,0.00038107418,0.43923753,0.000028219101,0.000055803637,0.0011902227,0.00026771397,0.005805417,0.5482194,0.0020047072,0.0026707884,0.00003942433],"about_ca_topic_score_codex":0.001190089,"about_ca_topic_score_gemma":0.0015916881,"teacher_disagreement_score":0.0032083597,"about_ca_system_score_codex":0.00027468006,"about_ca_system_score_gemma":0.0001980599,"threshold_uncertainty_score":0.010733068},"labels":[],"label_agreement":null},{"id":"W3087274219","doi":"10.1016/j.biosystems.2020.104251","title":"Testing amino acid-codon affinity hypothesis using molecular docking","year":2020,"lang":"en","type":"article","venue":"Biosystems","topic":"RNA and protein synthesis mechanisms","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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Genetic code; Amino acid; Transfer RNA; Docking (animal); Computational biology; Reading frame; Codon usage bias; Genetics; Translation (biology); Biology; Gene; Peptide sequence; Genome; RNA; Open reading frame; Messenger RNA","score_opus":0.0684576623117963,"score_gpt":0.2481506679923875,"score_spread":0.1796930056805912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087274219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8957192,0.0001579631,0.09326377,0.00036359156,0.000083484614,0.000055693574,0.00012953233,0.0003092829,0.009917401],"genre_scores_gemma":[0.9908703,0.000039624203,0.008509579,0.000043494732,0.0000034991,0.000017806198,0.00006359064,0.000019335472,0.0004327179],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994431,0.00012815013,0.000022830864,0.00013676485,0.00014899255,0.00011998669],"domain_scores_gemma":[0.9981352,0.0012123397,0.00014510818,0.00020387855,0.00015831219,0.00014515522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011198481,0.0006783702,0.00084316684,0.0007797858,0.00089548505,0.0010540371,0.0013798624,0.000978742,0.006579367],"category_scores_gemma":[0.0044310465,0.00031581303,0.00063550763,0.0006695741,0.00067663554,0.0015495311,0.0008950219,0.0008955619,0.0006126641],"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":[0.0027696958,0.0013088415,0.025365708,0.0005694288,0.0004595044,0.001262577,0.00021980838,0.52596706,0.22247033,0.16762872,0.001478235,0.050500054],"study_design_scores_gemma":[0.000098006014,0.00034492792,0.0019942904,0.000007984997,0.000045062756,0.00011894623,0.000115402574,0.9445782,0.033364248,0.019000534,0.00029882923,0.00003369571],"about_ca_topic_score_codex":0.002155009,"about_ca_topic_score_gemma":0.0012230141,"teacher_disagreement_score":0.006579367,"about_ca_system_score_codex":0.00075848534,"about_ca_system_score_gemma":0.00082593923,"threshold_uncertainty_score":0.022010207},"labels":[],"label_agreement":null},{"id":"W3087718820","doi":"10.1016/j.biosystems.2020.104255","title":"Stability switching and hydra effect in a predator–prey metapopulation model","year":2020,"lang":"en","type":"article","venue":"Biosystems","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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Science and Engineering Research Board; Agence Nationale de la Recherche","keywords":"Predator; Metapopulation; Biological dispersal; Lernaean Hydra; Predation; Ecology; Spatial heterogeneity; Biology; Stability (learning theory); Spatial ecology; Biological system; Population; Computer science","score_opus":0.05517112569769793,"score_gpt":0.2938769360337072,"score_spread":0.23870581033600924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087718820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90843326,0.00052684615,0.07804302,0.0016557797,0.000089510424,0.000023551986,0.00012395346,0.0001365552,0.010967581],"genre_scores_gemma":[0.995479,0.00013909818,0.0014424946,0.00007318672,0.0000359822,0.000010069494,0.000018994082,0.000017661529,0.0027834459],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977773,0.00009818155,0.000008745469,0.00004063871,0.00002290958,0.000051857387],"domain_scores_gemma":[0.9983469,0.0008994762,0.00022291992,0.00011649637,0.00013469349,0.00027951648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009886732,0.00036962258,0.0009642071,0.0008630953,0.0008042986,0.0012021072,0.0011286029,0.001374345,0.0028870762],"category_scores_gemma":[0.003044526,0.00038980707,0.00094715145,0.00036314287,0.0012932707,0.001452385,0.0012453882,0.0008714957,0.00024310233],"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":[0.00036767646,0.00021085178,0.012462021,0.00019429142,0.00038759352,0.0014053448,0.0006764752,0.5751,0.017113665,0.379642,0.0030283127,0.0094117485],"study_design_scores_gemma":[0.000040702194,0.000053577183,0.0020987291,0.000008134983,0.000073285475,0.00012234233,0.000091611306,0.9488606,0.0002266178,0.048165962,0.00022958907,0.000028800174],"about_ca_topic_score_codex":0.00426956,"about_ca_topic_score_gemma":0.0021212203,"teacher_disagreement_score":0.00426956,"about_ca_system_score_codex":0.0007187678,"about_ca_system_score_gemma":0.0005067499,"threshold_uncertainty_score":0.009658217},"labels":[],"label_agreement":null},{"id":"W3092303903","doi":"10.1016/j.biosystems.2020.104263","title":"The evolutionary dynamics of social systems – Looking for a new dialog","year":2020,"lang":"en","type":"article","venue":"Biosystems","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","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":"Memorial University of Newfoundland","funders":"","keywords":"Dialog box; Dynamics (music); Evolutionary dynamics; Computer science; Artificial intelligence; Evolutionary biology; Cognitive science; Biology; Sociology; World Wide Web; Psychology; Population","score_opus":0.02575802626691303,"score_gpt":0.27606386206460665,"score_spread":0.2503058357976936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092303903","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":[0.08919321,0.058727097,0.3168174,0.39996296,0.0020674604,0.00006628971,0.0001834355,0.00013105976,0.13285105],"genre_scores_gemma":[0.9267857,0.019120688,0.03733728,0.008711527,0.0019446816,0.00013166449,0.00006562993,0.00008461719,0.0058181626],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9954549,0.0033095893,0.00007752594,0.00043492945,0.00050436583,0.00021871836],"domain_scores_gemma":[0.9827192,0.014118626,0.0007394023,0.00078773324,0.00089954626,0.0007353644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007526176,0.0007318635,0.0015536923,0.0021088447,0.00241659,0.009052616,0.003099887,0.0070285983,0.0063806735],"category_scores_gemma":[0.014761456,0.00064765126,0.0009285595,0.0022204523,0.02989629,0.032639302,0.0040374715,0.0070645683,0.00056156516],"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":[0.00000603017,0.00000934166,0.00017227353,0.000044513774,0.000011224971,0.000028863582,0.0006139785,0.001294369,0.000072664705,0.99481755,0.00056247826,0.0023667437],"study_design_scores_gemma":[0.0000037338953,0.00000505815,0.00009475854,0.00003402467,0.000002329941,0.000018458606,0.0005556814,0.0019364471,0.000015518199,0.9933473,0.003979752,0.0000069545586],"about_ca_topic_score_codex":0.0028407113,"about_ca_topic_score_gemma":0.0021678146,"teacher_disagreement_score":0.009052616,"about_ca_system_score_codex":0.0038166253,"about_ca_system_score_gemma":0.0031188312,"threshold_uncertainty_score":0.03980267},"labels":[],"label_agreement":null},{"id":"W3093930221","doi":"10.1016/j.biosystems.2020.104279","title":"D'Arcy W. Thompson's On Growth and Form: A landmark for the mathematical foundations of epigenetics","year":2020,"lang":"en","type":"article","venue":"Biosystems","topic":"Philosophy and History of Science","field":"Arts and Humanities","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":"Memorial University of Newfoundland","funders":"","keywords":"Landmark; Relevance (law); Epigenetics; Cognitive science; Epigenesis; Computer science; Biology; Artificial intelligence; Psychology; DNA methylation; Genetics","score_opus":0.11149893130956243,"score_gpt":0.24935117183173144,"score_spread":0.13785224052216902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093930221","genre_codex":"commentary","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":[0.0114414655,0.12688664,0.2027233,0.39451835,0.019721955,0.00005738198,0.00046897028,0.0003306936,0.24385132],"genre_scores_gemma":[0.44890207,0.11239855,0.12493716,0.06550603,0.014557219,0.00033725283,0.00023054754,0.00071479543,0.23241638],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987907,0.00044725044,0.000055695815,0.00030474857,0.00032547783,0.000076141674],"domain_scores_gemma":[0.9960068,0.0027758295,0.00017587277,0.0003996247,0.00045230347,0.00018973829],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002733073,0.0006638014,0.00075108727,0.0014953293,0.0016232522,0.0032389653,0.0010489539,0.0026480865,0.0042833835],"category_scores_gemma":[0.006457151,0.00033436113,0.00076177827,0.0013816686,0.015592546,0.006124836,0.002639272,0.006610738,0.0012105331],"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":[0.000010472252,0.00000481087,0.000097157186,0.000043498276,0.000004555701,0.000026835054,0.0003844729,0.0002711496,0.00015823061,0.9761964,0.014666248,0.008136156],"study_design_scores_gemma":[0.000005701602,0.000008679597,0.00013709368,0.00009635614,0.0000048697975,0.0000753478,0.0000939437,0.0002939945,0.0003372194,0.80290824,0.19602065,0.00001790874],"about_ca_topic_score_codex":0.004660758,"about_ca_topic_score_gemma":0.0058893515,"teacher_disagreement_score":0.9983767,"about_ca_system_score_codex":0.0026637095,"about_ca_system_score_gemma":0.0022756779,"threshold_uncertainty_score":0.019326687},"labels":[],"label_agreement":null},{"id":"W3109945601","doi":"10.1016/j.biosystems.2020.104302","title":"Symbiogenesis as a driving force of evolution: The legacy of Boris Kozo-Polyansky","year":2020,"lang":"en","type":"article","venue":"Biosystems","topic":"Evolution and Genetic Dynamics","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":"Memorial University of Newfoundland","funders":"","keywords":"Complexification; Relation (database); Punctuated equilibrium; Modern evolutionary synthesis; Evolutionary developmental biology; Biology; Evolutionary biology; Computer science; Mathematics; Pure mathematics","score_opus":0.007416436284314653,"score_gpt":0.22346628655789155,"score_spread":0.2160498502735769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109945601","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":[0.1537087,0.3612994,0.07868036,0.3195466,0.008789724,0.000028419652,0.00040459863,0.000693163,0.076849066],"genre_scores_gemma":[0.75693154,0.16916299,0.02136803,0.019999947,0.0048137815,0.000044622553,0.00014727276,0.00038234834,0.02714947],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99950874,0.00013219507,0.000024179413,0.00016441247,0.00012468384,0.000045795234],"domain_scores_gemma":[0.99875426,0.00062731083,0.00012484474,0.00012067511,0.00020809015,0.00016475309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002267074,0.0003507822,0.00077381247,0.00067698775,0.0014119523,0.0026174856,0.0004856354,0.0010104453,0.0013835839],"category_scores_gemma":[0.0032860553,0.00026189603,0.0001779427,0.0005615234,0.0068885544,0.0042540114,0.002479605,0.0037712995,0.0006385728],"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":[0.0003237518,0.000057333145,0.0056272023,0.0006030561,0.00009283396,0.00044113796,0.0029295199,0.003433043,0.008538244,0.77256,0.048119206,0.15727459],"study_design_scores_gemma":[0.000027033004,0.0000617185,0.003449143,0.00026760367,0.000027839516,0.00074500346,0.0009866032,0.0030323034,0.0041128644,0.5914155,0.39577323,0.00010121018],"about_ca_topic_score_codex":0.0024153166,"about_ca_topic_score_gemma":0.0016157351,"teacher_disagreement_score":0.0026174856,"about_ca_system_score_codex":0.0011061402,"about_ca_system_score_gemma":0.0015518337,"threshold_uncertainty_score":0.0119895935},"labels":[],"label_agreement":null},{"id":"W3121015818","doi":"10.1016/j.biosystems.2020.104342","title":"The emergence of a fractal structure of formal logic via the spatiotemporal reflexive self-identification","year":2021,"lang":"en","type":"article","venue":"Biosystems","topic":"Fractal and DNA sequence analysis","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":"Memorial University of Newfoundland","funders":"","keywords":"Diagrammatic reasoning; Computer science; Spacetime; Mathematics; Temporal logic; Theoretical computer science; Artificial intelligence; Physics; Programming language","score_opus":0.008529981488747215,"score_gpt":0.25380172826043007,"score_spread":0.24527174677168284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121015818","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":[0.3906236,0.0009068018,0.5761101,0.002289661,0.00012363573,0.00006418702,0.00018904392,0.0005222446,0.029170739],"genre_scores_gemma":[0.9380881,0.0002609483,0.058696214,0.00016616282,0.00010092193,0.000053186428,0.00007416478,0.00009865282,0.0024617068],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993562,0.00020524216,0.000035137284,0.00014086097,0.00019825065,0.0000643652],"domain_scores_gemma":[0.9958324,0.0022694345,0.00045837427,0.0007311902,0.00040532093,0.00030339512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011828307,0.00023424323,0.0005345433,0.0013931679,0.00079355255,0.0027944085,0.00068833976,0.0008733631,0.0016943661],"category_scores_gemma":[0.006114824,0.0005730486,0.00068070285,0.00043067595,0.0053956956,0.00436214,0.0014740364,0.0017241422,0.00019037665],"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":[0.000014309256,0.0000075754924,0.00015699473,0.000016826465,0.0000049909904,0.000052387626,0.00027998257,0.0018464669,0.002790847,0.9919796,0.00018320233,0.0026668517],"study_design_scores_gemma":[0.000015019314,0.000018282104,0.0002924916,0.000010921085,0.0000037781692,0.0001246827,0.00006188337,0.028182874,0.0013306034,0.96868527,0.001256228,0.000018003353],"about_ca_topic_score_codex":0.0004614266,"about_ca_topic_score_gemma":0.00036351001,"teacher_disagreement_score":0.0027944085,"about_ca_system_score_codex":0.0011352705,"about_ca_system_score_gemma":0.0004888552,"threshold_uncertainty_score":0.008237004},"labels":[],"label_agreement":null},{"id":"W3127337869","doi":"10.1016/j.biosystems.2021.104368","title":"Potential role of the X circular code in the regulation of gene expression","year":2021,"lang":"en","type":"article","venue":"Biosystems","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","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":"Centre Eau Terre Environnement, Institut National de la Recherche Scientifique; Centre National de la Recherche Scientifique; Université de Strasbourg; Agence Nationale de la Recherche; Institut Français de Bioinformatique","keywords":"Genetic code; Gene; Genetics; Biology; Transfer RNA; Codon usage bias; Open reading frame; Ribosomal RNA; Coding region; Reading frame; Plasmid; Computational biology; RNA; Start codon; Genome; Messenger RNA; Peptide sequence","score_opus":0.007953245160648404,"score_gpt":0.21006104020175487,"score_spread":0.20210779504110646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127337869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9019849,0.009280395,0.06394359,0.0017016086,0.0003778438,0.00008292365,0.0002573304,0.0005083804,0.021863012],"genre_scores_gemma":[0.9813415,0.00185082,0.008404234,0.00017843189,0.0001315629,0.000043527656,0.00014084775,0.000070786235,0.007838353],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997348,0.000071076945,0.000015104996,0.00007025283,0.00005071242,0.00005796464],"domain_scores_gemma":[0.99850535,0.0007521843,0.0002572767,0.0001781519,0.00012764426,0.00017948993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063307834,0.00042202705,0.0003206356,0.0006215643,0.0008820053,0.0014657938,0.000860475,0.0007529423,0.0039672223],"category_scores_gemma":[0.0012292115,0.00029098528,0.00031387966,0.00038645926,0.0013082885,0.0011522549,0.00061474845,0.00056495034,0.00084625196],"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":[0.0010628036,0.00010936419,0.003574273,0.0002237492,0.000019190416,0.0008044288,0.00023955911,0.0020819202,0.8793798,0.093534835,0.0003360398,0.018633973],"study_design_scores_gemma":[0.00015212907,0.0016095991,0.019966576,0.00012749879,0.000049557042,0.0017162608,0.00051311275,0.029890073,0.87275785,0.0555191,0.017576914,0.0001213743],"about_ca_topic_score_codex":0.0009939583,"about_ca_topic_score_gemma":0.00067530497,"teacher_disagreement_score":0.0039672223,"about_ca_system_score_codex":0.00076251914,"about_ca_system_score_gemma":0.00068643765,"threshold_uncertainty_score":0.013271689},"labels":[],"label_agreement":null},{"id":"W3132313371","doi":"10.1016/j.biosystems.2021.104395","title":"Mathematics in biological reality: The emergence of natural computation in living systems","year":2021,"lang":"en","type":"article","venue":"Biosystems","topic":"Origins and Evolution of Life","field":"Physics and Astronomy","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":"Memorial University of Newfoundland","funders":"","keywords":"Living systems; Computer science; Adaptation (eye); Relation (database); Dynamical systems theory; Coding (social sciences); Theoretical computer science; Code (set theory); Artificial intelligence; Cognitive science; Mathematics; Programming language; Psychology","score_opus":0.0377012420718753,"score_gpt":0.28811178782912555,"score_spread":0.25041054575725025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132313371","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":[0.16663845,0.04356861,0.43725452,0.088670805,0.0017431569,0.00008879767,0.00042658707,0.00050383306,0.26110533],"genre_scores_gemma":[0.9424804,0.0056717917,0.043739326,0.0013136036,0.00089790643,0.00006582013,0.00008705285,0.00008586545,0.005658175],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99901855,0.0004656506,0.000040645667,0.00018700038,0.00023077177,0.00005732335],"domain_scores_gemma":[0.99406093,0.0045410576,0.00024068834,0.00053385494,0.00042161625,0.00020188108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019316843,0.00030547005,0.00060834485,0.0013875444,0.0017532654,0.005639975,0.0009655866,0.0018172927,0.003157782],"category_scores_gemma":[0.010251814,0.0003451018,0.0005098036,0.0011908483,0.018602822,0.015053569,0.0018108081,0.0033739016,0.00043362385],"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":[0.0000074538148,0.000005674816,0.0002484419,0.00004217095,0.0000039040506,0.000034911132,0.00073713786,0.0007572124,0.00030149068,0.99262506,0.0006777201,0.004558786],"study_design_scores_gemma":[0.000003328064,0.000003157373,0.00016819371,0.000015304131,0.0000018943216,0.000033035678,0.00014108019,0.0017835168,0.00011445666,0.99185973,0.0058699865,0.0000063559237],"about_ca_topic_score_codex":0.0021418964,"about_ca_topic_score_gemma":0.0017297881,"teacher_disagreement_score":0.005639975,"about_ca_system_score_codex":0.001915117,"about_ca_system_score_gemma":0.0014741183,"threshold_uncertainty_score":0.013895154},"labels":[],"label_agreement":null},{"id":"W3140077538","doi":"10.1016/j.biosystems.2021.104414","title":"A short tutorial on the Janus-faced logic of differentiation waves and differentiation trees and their evolution","year":2021,"lang":"en","type":"article","venue":"Biosystems","topic":"Origins and Evolution of Life","field":"Physics and Astronomy","cited_by":19,"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":"University of Manitoba; Wayne State University","keywords":"Janus; Differentiation; Causality (physics); Reductionism; Process (computing); Perspective (graphical); Product differentiation; Cellular differentiation; Biology; Cognitive science; Computer science; Epistemology; Artificial intelligence; Mathematics; Physics; Psychology; Philosophy; Mathematical economics","score_opus":0.016123847852652765,"score_gpt":0.22004657398561692,"score_spread":0.20392272613296414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3140077538","genre_codex":"other","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":[0.0067713447,0.3247184,0.26680273,0.039737992,0.029907372,0.00015184855,0.0018253332,0.0010954689,0.3289896],"genre_scores_gemma":[0.12221935,0.279903,0.19205904,0.029247714,0.06708503,0.0006640783,0.0036416352,0.0016986581,0.30348152],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996748,0.000121197576,0.000026460739,0.00007044618,0.00007453128,0.000032646898],"domain_scores_gemma":[0.9989139,0.0008472308,0.00004388328,0.000039338935,0.00009215897,0.00006350015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089152844,0.00128138,0.0008850721,0.0017102862,0.0012609882,0.0029329166,0.0012616953,0.0017777763,0.027329372],"category_scores_gemma":[0.0025375977,0.00052687566,0.00088309596,0.0028883792,0.0026136902,0.007222352,0.0014975294,0.003810747,0.0080425935],"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":[0.000019485899,0.000026567674,0.00017196746,0.00037120606,0.000015976742,0.00015054269,0.0005165934,0.00064343744,0.0006517246,0.8356285,0.1060272,0.05577682],"study_design_scores_gemma":[0.0000044688995,0.000018847006,0.0002757506,0.00019058488,0.0000076726565,0.00032181037,0.000113782815,0.0005843491,0.00013140196,0.58314115,0.41518423,0.000026025864],"about_ca_topic_score_codex":0.001432858,"about_ca_topic_score_gemma":0.0021283692,"teacher_disagreement_score":0.027329372,"about_ca_system_score_codex":0.001504114,"about_ca_system_score_gemma":0.0006476291,"threshold_uncertainty_score":0.091425896},"labels":[],"label_agreement":null},{"id":"W3144893670","doi":"10.1016/j.biosystems.2021.104413","title":"The role of symbiosis in the first colonization of the seafloor by macrobiota: Insights from the oldest Ediacaran biota (Newfoundland, Canada)","year":2021,"lang":"en","type":"article","venue":"Biosystems","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biota; Chemosynthesis; Biogeochemical cycle; Ecology; Paleobiology; Geology; Paleontology; Earth science; Colonization; Fossil Record; Biology; Hydrothermal vent","score_opus":0.004424652676127933,"score_gpt":0.1710033557529345,"score_spread":0.16657870307680656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3144893670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939079,0.0019071548,0.00011393861,0.00039723792,0.0000040622053,0.000003004477,0.00010737096,0.0000033803674,0.0035558834],"genre_scores_gemma":[0.9972625,0.0011866208,0.00018990504,0.00008818621,0.0000030415,0.0000022590568,0.000059642745,0.0000033197562,0.001204496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991477,0.0000058791106,0.0000016095572,0.000014215331,0.000011135598,0.00005242894],"domain_scores_gemma":[0.99982846,0.00001402227,0.000035513764,0.0000062585286,0.000050863506,0.000064844135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019758947,0.00017923002,0.00013669037,0.0005747982,0.0021832567,0.0014023955,0.00031823944,0.0002510903,0.001385278],"category_scores_gemma":[0.0002535489,0.00014486225,0.00011423148,0.00049539923,0.0015459623,0.00049583695,0.00087312685,0.00039270366,0.00017424484],"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":[0.0001974288,0.00004034642,0.88002586,0.00016322904,0.000044350516,0.0009999104,0.015940892,0.000399219,0.0480571,0.0026056378,0.0012121681,0.050313864],"study_design_scores_gemma":[8.46076e-7,0.000014050418,0.98990506,0.000022771088,0.000009725176,0.00010139762,0.006648779,0.00007486002,0.0004654377,0.00016821176,0.0025828606,0.000005941417],"about_ca_topic_score_codex":0.7847612,"about_ca_topic_score_gemma":0.9329468,"teacher_disagreement_score":0.21523881,"about_ca_system_score_codex":0.0075568445,"about_ca_system_score_gemma":0.0050479425,"threshold_uncertainty_score":0.43301278},"labels":[],"label_agreement":null},{"id":"W3155348911","doi":"10.1016/j.biosystems.2021.104429","title":"Editorial: Symbiogenesis and progressive evolution","year":2021,"lang":"en","type":"editorial","venue":"Biosystems","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":"Memorial University of Newfoundland","funders":"","keywords":"Evolutionary biology; Biology; Computer science","score_opus":0.014998489736204173,"score_gpt":0.20497852142433254,"score_spread":0.18998003168812835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155348911","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000021215084,0.0060971472,0.00006645891,0.041846592,0.9506474,0.000016850929,0.00004321678,0.000028392304,0.0012326194],"genre_scores_gemma":[0.00026097347,0.002572203,0.000053106865,0.024539458,0.96658605,0.000021885575,0.000025563244,0.000026057714,0.005914702],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9943446,0.0013050967,0.00057727983,0.0007407406,0.0025754268,0.00045690357],"domain_scores_gemma":[0.97592336,0.010118888,0.002115406,0.00067111745,0.007087592,0.0040836036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009156691,0.0049080527,0.004933119,0.005459505,0.004750783,0.0098336395,0.004563098,0.028186848,0.02357211],"category_scores_gemma":[0.031288877,0.0016959946,0.0032078458,0.0021792122,0.0032459064,0.0051477463,0.0033906405,0.020934856,0.014117914],"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":[0.000030054345,0.000006633095,0.000014820371,0.000124221,0.00001604709,0.000076508295,0.000008719363,0.000013827285,0.000029962079,0.00014838029,0.9974189,0.0021119553],"study_design_scores_gemma":[0.00014324655,0.00002786772,0.00028915692,0.00062076625,0.00009279368,0.00021902774,0.000041514428,0.0001611706,0.00007007755,0.0014108592,0.99690104,0.000022506369],"about_ca_topic_score_codex":0.0028053229,"about_ca_topic_score_gemma":0.00941014,"teacher_disagreement_score":0.028186848,"about_ca_system_score_codex":0.0046876166,"about_ca_system_score_gemma":0.0036991339,"threshold_uncertainty_score":0.07885659},"labels":[],"label_agreement":null},{"id":"W3171803253","doi":"10.1016/j.biosystems.2021.104454","title":"The drawbridge of nature: Evolutionary complexification as a generation and novel interpretation of coding systems","year":2021,"lang":"en","type":"article","venue":"Biosystems","topic":"Sustainability and Ecological Systems Analysis","field":"Environmental Science","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":"Memorial University of Newfoundland","funders":"","keywords":"Complexification; Living systems; Computer science; Coding (social sciences); Realization (probability); Interpretation (philosophy); Theoretical computer science; Cognitive science; Artificial intelligence; Epistemology; Mathematics; Psychology; Philosophy","score_opus":0.013338668112156565,"score_gpt":0.23964638761023277,"score_spread":0.2263077194980762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171803253","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":[0.036975686,0.00082656386,0.90882516,0.006766818,0.00027540675,0.000041531453,0.0001814978,0.00029005314,0.04581729],"genre_scores_gemma":[0.83179784,0.0006292649,0.15736823,0.0008947308,0.00029045247,0.0001463155,0.00016243229,0.00033407798,0.00837667],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991032,0.0004598399,0.00003550317,0.00021383153,0.0001219824,0.000065730805],"domain_scores_gemma":[0.9968976,0.0014800116,0.0001853816,0.0010787947,0.0002068756,0.00015132023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023268445,0.0004866593,0.0004998489,0.0015775011,0.0015611784,0.0044531524,0.0015709732,0.0016858653,0.007247824],"category_scores_gemma":[0.008663191,0.00038538186,0.0006858445,0.001285756,0.014479821,0.010793035,0.00358458,0.002577097,0.0005580479],"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":[0.000003929909,0.0000014488905,0.000096638316,0.000008461509,0.0000023048317,0.000017538458,0.0005286306,0.00062926946,0.00016645026,0.99580437,0.00020826573,0.0025328055],"study_design_scores_gemma":[0.0000017872421,0.00000224096,0.000047874193,0.0000057874845,0.000002144306,0.000017462262,0.00008548565,0.0030207785,0.000100054436,0.99450845,0.0022047819,0.000003248135],"about_ca_topic_score_codex":0.0013682429,"about_ca_topic_score_gemma":0.0011596147,"teacher_disagreement_score":0.007247824,"about_ca_system_score_codex":0.0012920955,"about_ca_system_score_gemma":0.0008011547,"threshold_uncertainty_score":0.024246454},"labels":[],"label_agreement":null},{"id":"W3187530061","doi":"10.1016/j.biosystems.2021.104498","title":"A ball microscope for viewing the entire surface of amphibian embryos","year":2021,"lang":"en","type":"article","venue":"Biosystems","topic":"Advanced Fluorescence Microscopy Techniques","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":"Innovation, Science and Economic Development Canada; University of Manitoba","funders":"","keywords":"Microscope; Ball (mathematics); Optical microscope; Inverted microscope; Digital microscope; Microscopy; Optics; Materials science; Scanning electron microscope; Physics; Geometry; Mathematics","score_opus":0.013427567700696206,"score_gpt":0.28522839994097265,"score_spread":0.27180083224027646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187530061","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":[0.061403465,0.0011574174,0.88041574,0.0013284582,0.0005802118,0.0013469061,0.0040221405,0.014911762,0.034833975],"genre_scores_gemma":[0.047483154,0.00052549667,0.914363,0.00026668428,0.000057474546,0.0010874012,0.0020036784,0.0013175656,0.0328956],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993267,0.00007483381,0.00005236124,0.00019844055,0.0002624086,0.00008513653],"domain_scores_gemma":[0.9991364,0.00027464758,0.00004445936,0.00015892001,0.00019272506,0.00019295991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009753936,0.0009905564,0.00064476934,0.0018908702,0.0016255605,0.0006525705,0.001805523,0.0013066734,0.041749638],"category_scores_gemma":[0.0007830032,0.0011213768,0.00069149566,0.0006077662,0.00045556205,0.0011795942,0.0013444613,0.0017649225,0.010633647],"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":[0.00041403482,0.000095636,0.0005563316,0.00030541388,0.000021260055,0.00022390782,0.00014225717,0.00032311922,0.93423647,0.006026099,0.011841499,0.04581393],"study_design_scores_gemma":[0.0006302868,0.0015929019,0.017261775,0.0002720983,0.00016921815,0.007978198,0.00022102814,0.058299817,0.6006361,0.009243651,0.30349502,0.00019989588],"about_ca_topic_score_codex":0.0036330356,"about_ca_topic_score_gemma":0.007440354,"teacher_disagreement_score":0.041749638,"about_ca_system_score_codex":0.0006712017,"about_ca_system_score_gemma":0.001430333,"threshold_uncertainty_score":0.13966644},"labels":[],"label_agreement":null},{"id":"W3201933451","doi":"10.1016/j.biosystems.2021.104560","title":"Editorial: Waves in fertilization, cell division and embryogenesis","year":2021,"lang":"en","type":"editorial","venue":"Biosystems","topic":"Reproductive Biology and Fertility","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":"University of Alberta","funders":"","keywords":"Human fertilization; Division (mathematics); Embryogenesis; Cell division; Biology; Cell biology; Embryo; Cell; Mathematics; Anatomy; Genetics","score_opus":0.010703204878018274,"score_gpt":0.26644903337366527,"score_spread":0.255745828495647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201933451","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000018475705,0.0060413065,0.00007033742,0.031948924,0.9603083,0.000017983459,0.000040645176,0.000029482679,0.0015245861],"genre_scores_gemma":[0.00022261788,0.0029817363,0.000051347386,0.023772378,0.9655664,0.000024740342,0.00002373128,0.00002159983,0.007335518],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99421376,0.0013835148,0.00056886324,0.0006375747,0.0028120934,0.00038419367],"domain_scores_gemma":[0.9822302,0.0076895915,0.0014561919,0.00042270072,0.005080583,0.0031208703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0077895564,0.0049057384,0.004839798,0.0043964335,0.004375281,0.009109194,0.0045597916,0.025365692,0.021760155],"category_scores_gemma":[0.027886417,0.0017205562,0.0031336679,0.0018543026,0.0030426017,0.0050490466,0.0027588382,0.02240375,0.01608818],"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":[0.000037888327,0.000009267205,0.000011101985,0.00016407335,0.000015037082,0.000059323098,0.000007280145,0.000014761167,0.000030107754,0.0001960705,0.9970373,0.0024178168],"study_design_scores_gemma":[0.00015861026,0.000040251925,0.00025773136,0.00063489197,0.000090603804,0.0001673101,0.000038217924,0.00016987097,0.00007205374,0.0015767325,0.9967705,0.000023161228],"about_ca_topic_score_codex":0.0026456108,"about_ca_topic_score_gemma":0.008637997,"teacher_disagreement_score":0.025365692,"about_ca_system_score_codex":0.0043927995,"about_ca_system_score_gemma":0.0037341889,"threshold_uncertainty_score":0.07279503},"labels":[],"label_agreement":null},{"id":"W3208094770","doi":"10.1016/j.biosystems.2021.104568","title":"A word of appreciation to our publisher Anthony Newman","year":2021,"lang":"en","type":"editorial","venue":"Biosystems","topic":"Medical Research and Practices","field":"Health Professions","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":"Memorial University of Newfoundland","funders":"","keywords":"Word (group theory); Linguistics; Computer science; Philosophy","score_opus":0.10187198307480216,"score_gpt":0.5235000863657812,"score_spread":0.421628103290979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208094770","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000011496841,0.002876112,0.00008949245,0.042259835,0.95169985,0.000027032847,0.000042628486,0.00004897865,0.0029445374],"genre_scores_gemma":[0.00022904667,0.0026475934,0.00016191069,0.045065045,0.9222351,0.000049989114,0.000039869243,0.000097965814,0.029473474],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9896959,0.0020840191,0.0011050714,0.00096155726,0.0056401948,0.0005131843],"domain_scores_gemma":[0.9268962,0.026789416,0.004594923,0.001851972,0.028941246,0.01092635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010202209,0.005119424,0.005026861,0.009269143,0.0059598708,0.016267737,0.0047564884,0.020988006,0.043689866],"category_scores_gemma":[0.07082834,0.001933164,0.0030211734,0.0035753234,0.0028669038,0.0061789835,0.0032119162,0.021590328,0.043108005],"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":[0.000007024103,0.000003893269,0.000008115941,0.00006477313,0.0000040646346,0.000042427677,0.000009862674,0.000006819151,0.000010714432,0.00008352478,0.9979511,0.001807796],"study_design_scores_gemma":[0.000030788793,0.000013820238,0.000121009725,0.00044043647,0.000024144909,0.00015395368,0.000065686705,0.000053298158,0.000030705138,0.00075847516,0.99828905,0.000018563567],"about_ca_topic_score_codex":0.004666221,"about_ca_topic_score_gemma":0.017501414,"teacher_disagreement_score":0.043689866,"about_ca_system_score_codex":0.0042944327,"about_ca_system_score_gemma":0.0066927713,"threshold_uncertainty_score":0.1461572},"labels":[],"label_agreement":null},{"id":"W3210097896","doi":"10.1016/j.biosystems.2021.104567","title":"Human-driven spreading and evolution of plants during the Holocene epoch: The pioneering works of Valery Taliev","year":2021,"lang":"en","type":"article","venue":"Biosystems","topic":"Botany and Plant Ecology 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":"Memorial University of Newfoundland","funders":"","keywords":"Holocene; Flora (microbiology); Epoch (astronomy); Steppe; Ecology; Plant evolution; Natural (archaeology); Geography; Series (stratigraphy); Physical geography; Paleontology; Biology; Astronomy; Physics; Stars","score_opus":0.018902342353789927,"score_gpt":0.2006608521341846,"score_spread":0.18175850978039468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210097896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5261677,0.2878721,0.01273505,0.09508979,0.0016205951,0.000025195552,0.00039415553,0.00009495906,0.07600052],"genre_scores_gemma":[0.9340701,0.05209332,0.0020201642,0.002698561,0.0009916706,0.000010569626,0.00005551096,0.000060760576,0.007999351],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99958664,0.00020930213,0.000009763254,0.0001032285,0.00004935502,0.00004178807],"domain_scores_gemma":[0.99887747,0.00079751824,0.000104741244,0.00008082245,0.00008214628,0.00005728547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014389936,0.00031644083,0.00035735217,0.0010676333,0.0010596415,0.0018978484,0.0004295793,0.0008887635,0.0013907069],"category_scores_gemma":[0.0033906372,0.00016395548,0.0001914554,0.0011411862,0.0060582254,0.0011600759,0.0016049668,0.0011975329,0.0002472081],"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":[0.0005630129,0.000097658776,0.04816766,0.0011737699,0.00034978573,0.001792616,0.07008704,0.018069925,0.0035848047,0.52181345,0.044995286,0.28930503],"study_design_scores_gemma":[0.00004624589,0.00013389798,0.06264595,0.0018050853,0.00010799281,0.0017635977,0.016619436,0.00372701,0.0026837543,0.33648223,0.5738219,0.00016290155],"about_ca_topic_score_codex":0.005214127,"about_ca_topic_score_gemma":0.006531519,"teacher_disagreement_score":0.005214127,"about_ca_system_score_codex":0.0010903291,"about_ca_system_score_gemma":0.00070661365,"threshold_uncertainty_score":0.010367572},"labels":[],"label_agreement":null},{"id":"W3214097397","doi":"10.1016/j.biosystems.2021.104571","title":"Étienne Geoffroy Saint-Hilaire as a predecessor of the epigenetic concept of evolution","year":2021,"lang":"en","type":"article","venue":"Biosystems","topic":"Evolution and Science Education","field":"Arts and Humanities","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":"Memorial University of Newfoundland","funders":"Ministero dell’Istruzione, dell’Università e della Ricerca","keywords":"Evolutionary developmental biology; Biology; Evolutionary biology; SAINT; Phenomenon; Context (archaeology); Homology (biology); Modern evolutionary synthesis; Epistemology; Philosophy; History; Genetics; Gene; Paleontology; Art history","score_opus":0.020022920198896187,"score_gpt":0.22350499136693322,"score_spread":0.20348207116803704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214097397","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":[0.0080137625,0.09051714,0.01069256,0.7301122,0.06319092,0.000020970672,0.00014182803,0.00022906886,0.09708154],"genre_scores_gemma":[0.25533536,0.04560366,0.008924104,0.17719744,0.04959555,0.000066793786,0.000114639886,0.0007301466,0.4624324],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9953496,0.0019922752,0.00011039885,0.0009577122,0.0012891721,0.00030092054],"domain_scores_gemma":[0.99441767,0.0030499147,0.00030318665,0.00026011295,0.0011560604,0.0008130038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003824798,0.0008906132,0.00079744624,0.0010183821,0.0039633806,0.0059189782,0.00097005593,0.0064761364,0.00719152],"category_scores_gemma":[0.009880764,0.0003801057,0.00042317153,0.0006592476,0.008974658,0.0046906075,0.0026934773,0.012642996,0.0027161723],"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":[0.0001238701,0.000038292517,0.0007136744,0.00013467492,0.00002874379,0.0005581804,0.0051948135,0.000407717,0.00041853546,0.65399957,0.3090503,0.029331552],"study_design_scores_gemma":[0.0000086433165,0.000017637967,0.0002584123,0.000119548524,0.0000047634517,0.00041238556,0.00051499315,0.0001759344,0.00055705913,0.031316243,0.9665875,0.00002680233],"about_ca_topic_score_codex":0.008085802,"about_ca_topic_score_gemma":0.006995781,"teacher_disagreement_score":0.008085802,"about_ca_system_score_codex":0.0040775784,"about_ca_system_score_gemma":0.0037648915,"threshold_uncertainty_score":0.029585063},"labels":[],"label_agreement":null},{"id":"W4200044365","doi":"10.1016/j.biosystems.2021.104585","title":"AI in predicting COPD in the Canadian population","year":2021,"lang":"en","type":"article","venue":"Biosystems","topic":"Nursing Diagnosis and Documentation","field":"Nursing","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba; Queen's University","funders":"Canadian Institute for Military and Veteran Health Research; Queen's University; International Business Machines Corporation","keywords":"COPD; Medicine; Population; Medical record; Health care; Primary care; Disease; Psychological intervention; Intensive care medicine; Physical therapy; Family medicine; Internal medicine; Nursing","score_opus":0.01582851956437412,"score_gpt":0.2932613628588016,"score_spread":0.27743284329442747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200044365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97022164,0.004397368,0.0005033042,0.0023234305,0.00021511165,0.00009492614,0.0031251584,0.00007517315,0.019043874],"genre_scores_gemma":[0.9947314,0.0012691831,0.00063939305,0.00024455605,0.000041937357,0.000017832575,0.0009794565,0.000012584772,0.002063553],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860424,0.00015326604,0.00008187271,0.00012233647,0.0006080009,0.0004302697],"domain_scores_gemma":[0.99596584,0.0004925474,0.00029782116,0.00008696649,0.0022346305,0.0009223056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001764453,0.0008223432,0.00060632994,0.002745065,0.0031016367,0.0029303744,0.0020299223,0.0014577952,0.0029604435],"category_scores_gemma":[0.009709705,0.00041006185,0.0011789802,0.003185076,0.00072510313,0.0007330435,0.0011724767,0.002003135,0.00054117606],"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":[0.00017036233,0.00006478916,0.9906283,0.00003809419,0.000062926134,0.0000615979,0.0002706103,0.00028601396,0.00006914248,0.00018446999,0.0018019332,0.006361675],"study_design_scores_gemma":[0.00002338613,0.000077352954,0.9897559,0.00014337194,0.00020687797,0.00016177216,0.0022771568,0.0041798055,0.00011449778,0.00031877606,0.002698276,0.000042842385],"about_ca_topic_score_codex":0.983422,"about_ca_topic_score_gemma":0.9857442,"teacher_disagreement_score":0.016578019,"about_ca_system_score_codex":0.014639877,"about_ca_system_score_gemma":0.023772879,"threshold_uncertainty_score":0.106220245},"labels":[],"label_agreement":null},{"id":"W4200076258","doi":"10.1016/j.biosystems.2021.104583","title":"Effective decoders for DNA codes","year":2021,"lang":"en","type":"article","venue":"Biosystems","topic":"DNA and Biological Computing","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":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Decoding methods; Edit distance; Metric (unit); Computer science; Algorithm; Code (set theory); Measure (data warehouse); Set (abstract data type); Extension (predicate logic); List decoding; Error detection and correction; Theoretical computer science; Concatenated error correction code; Data mining; Block code","score_opus":0.011626360981535836,"score_gpt":0.26120613069475807,"score_spread":0.24957976971322224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200076258","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":[0.03306312,0.0008509246,0.93963814,0.0010525549,0.00027915713,0.00008104605,0.00037688567,0.0008485615,0.02380963],"genre_scores_gemma":[0.64476144,0.0014539084,0.31821004,0.00096717384,0.0005484335,0.00042288975,0.00077712006,0.0009914893,0.03186756],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978631,0.0006223513,0.00014952093,0.00023993413,0.0008495694,0.00027552244],"domain_scores_gemma":[0.99336255,0.004259815,0.00025578172,0.0009891777,0.0008682776,0.00026439864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013433255,0.0008389461,0.0009328239,0.0013426368,0.0008874988,0.0024099466,0.0013819786,0.001532102,0.006307815],"category_scores_gemma":[0.011523048,0.0006060344,0.0005956355,0.0010086832,0.0018471895,0.0029266218,0.00249361,0.002397854,0.0017527121],"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":[0.00009023623,0.000021860444,0.000104660685,0.00008146157,0.000012755317,0.00005370363,0.00010848059,0.026580043,0.0034264973,0.9358947,0.0028974956,0.030728083],"study_design_scores_gemma":[0.000028798646,0.000029716888,0.000047572084,0.00003866831,0.000012259831,0.00005483765,0.000026858419,0.14862432,0.0058036163,0.83883256,0.006478497,0.000022446744],"about_ca_topic_score_codex":0.0008075936,"about_ca_topic_score_gemma":0.0017778694,"teacher_disagreement_score":0.006307815,"about_ca_system_score_codex":0.0014389176,"about_ca_system_score_gemma":0.0014875351,"threshold_uncertainty_score":0.021101713},"labels":[],"label_agreement":null},{"id":"W4205799035","doi":"10.1016/j.biosystems.2022.104607","title":"Energy infrastructure of evolution for system with infinite number of links with environment","year":2022,"lang":"en","type":"article","venue":"Biosystems","topic":"Advanced Thermodynamics and Statistical Mechanics","field":"Physics and Astronomy","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":"British Columbia Institute of Technology","funders":"","keywords":"Energy exchange; Entropy (arrow of time); Dimension (graph theory); Statistical physics; Energy (signal processing); Conservation of energy; Computer science; Mathematics; Mathematical optimization; Physics; Statistics; Pure mathematics; Quantum mechanics","score_opus":0.0032063910536342783,"score_gpt":0.19052230553698662,"score_spread":0.18731591448335236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205799035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.511879,0.0012932011,0.38399467,0.0033262316,0.00029883042,0.00006655919,0.000580511,0.00036563398,0.09819545],"genre_scores_gemma":[0.97975504,0.00041382635,0.0088001145,0.00014248253,0.00009053089,0.000057939043,0.00014783505,0.00006692035,0.010525295],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99972814,0.000052353204,0.000012011107,0.000064045336,0.00007444596,0.0000689464],"domain_scores_gemma":[0.99925977,0.00026797483,0.000085591266,0.000116770476,0.00012865153,0.00014112503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038590044,0.00026422096,0.0005033977,0.0010049687,0.0009744963,0.0014114851,0.0012298533,0.0010871394,0.01043778],"category_scores_gemma":[0.0021838446,0.00033777664,0.0004770665,0.0005621709,0.0012886107,0.0033733952,0.0013775267,0.000972828,0.0005811418],"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":[0.00003146212,0.00003687138,0.0009599653,0.000049000704,0.000019896936,0.00012749793,0.00011112076,0.04391894,0.003063767,0.94607675,0.0008887923,0.0047159893],"study_design_scores_gemma":[0.000012858111,0.00003521881,0.001602786,0.0000151817685,0.000013855586,0.00017422867,0.00011586811,0.28741923,0.000863373,0.70784134,0.0018806802,0.000025355546],"about_ca_topic_score_codex":0.0016548636,"about_ca_topic_score_gemma":0.0009954353,"teacher_disagreement_score":0.01043778,"about_ca_system_score_codex":0.000796067,"about_ca_system_score_gemma":0.0007651526,"threshold_uncertainty_score":0.03491789},"labels":[],"label_agreement":null},{"id":"W4214763609","doi":"10.1016/j.biosystems.2022.104653","title":"Natural computation and its limits: Efim Liberman at the dawn of a new science","year":2022,"lang":"en","type":"article","venue":"Biosystems","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","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":"Memorial University of Newfoundland","funders":"","keywords":"Computation; Computer science; Algorithm","score_opus":0.06568474049463265,"score_gpt":0.33084547758795374,"score_spread":0.2651607370933211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214763609","genre_codex":"commentary","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":[0.0024780123,0.23344873,0.008466776,0.7242219,0.011627704,0.000007376846,0.00009096077,0.00007430114,0.019584138],"genre_scores_gemma":[0.29513556,0.22698277,0.018683488,0.34492847,0.070584014,0.00016667381,0.0001610802,0.00045895705,0.042898983],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984242,0.00060296507,0.00006125214,0.0003431991,0.00045935783,0.00010913191],"domain_scores_gemma":[0.9918025,0.006743886,0.0001889534,0.00027560603,0.00059373677,0.00039537178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043021343,0.0006214867,0.001127494,0.0009926514,0.0023087116,0.004357311,0.0008814776,0.007281277,0.0031300576],"category_scores_gemma":[0.0131323775,0.00041919728,0.0004129658,0.0007536458,0.016723795,0.016781587,0.0026434287,0.012858869,0.0008990647],"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":[0.00008119799,0.000034293047,0.00030658845,0.00020303711,0.000020659736,0.00008241708,0.0010295565,0.0005969448,0.0002622969,0.77579504,0.19909237,0.022495594],"study_design_scores_gemma":[0.000023394474,0.000017373397,0.00018793409,0.0002193295,0.0000069096777,0.00010421475,0.000354285,0.00069530547,0.00026361665,0.6865156,0.3115717,0.000040329767],"about_ca_topic_score_codex":0.0035209681,"about_ca_topic_score_gemma":0.003375942,"teacher_disagreement_score":0.007281277,"about_ca_system_score_codex":0.0030512721,"about_ca_system_score_gemma":0.0017630341,"threshold_uncertainty_score":0.022752106},"labels":[],"label_agreement":null},{"id":"W4224284848","doi":"10.1016/j.biosystems.2022.104685","title":"Rational decision making in biological systems","year":2022,"lang":"en","type":"article","venue":"Biosystems","topic":"Origins and Evolution of Life","field":"Physics and Astronomy","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":"Bishop's University","funders":"","keywords":"Computer science; Semiosis; Adaptation (eye); Function (biology); Process (computing); Key (lock); Natural (archaeology); Artificial intelligence; Epistemology; Neuroscience; Biology; Semiotics","score_opus":0.02431404949477192,"score_gpt":0.2728414388638017,"score_spread":0.24852738936902977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224284848","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":[0.15522622,0.005396608,0.70327145,0.02694719,0.00038103896,0.00043796247,0.00057584676,0.0002478404,0.10751579],"genre_scores_gemma":[0.9240219,0.0016514269,0.06763477,0.00073857856,0.00019088472,0.0003159372,0.00017916523,0.000041144467,0.0052261404],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9901215,0.0063794027,0.00046135005,0.0009491817,0.0012449906,0.0008435971],"domain_scores_gemma":[0.95713294,0.0377975,0.0016168739,0.0011528556,0.0014029916,0.0008968406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011887259,0.0009792149,0.0018132577,0.0012232518,0.0013766675,0.006432352,0.002074857,0.0037749796,0.0056449696],"category_scores_gemma":[0.034050725,0.0008681312,0.0014347573,0.0013172119,0.008205392,0.0054225232,0.0016862402,0.0034862277,0.00055961945],"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":[0.00008625248,0.00008308549,0.0009675098,0.0001919288,0.0000903758,0.00015728544,0.0004148779,0.088978454,0.0003156977,0.898031,0.0012556929,0.009427947],"study_design_scores_gemma":[0.000028948332,0.000015490035,0.00011415957,0.000018940835,0.000012007249,0.000013770766,0.00008802189,0.065643296,0.000111049696,0.93277836,0.0011644964,0.000011443049],"about_ca_topic_score_codex":0.0061886595,"about_ca_topic_score_gemma":0.0047651166,"teacher_disagreement_score":0.011887259,"about_ca_system_score_codex":0.0047337017,"about_ca_system_score_gemma":0.0052329926,"threshold_uncertainty_score":0.06286657},"labels":[],"label_agreement":null},{"id":"W4280557546","doi":"10.1016/j.biosystems.2022.104698","title":"Editorial: 2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2020)","year":2022,"lang":"en","type":"editorial","venue":"Biosystems","topic":"Genetics, Bioinformatics, and Biomedical Research","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 Guelph","funders":"","keywords":"Computational intelligence; Computer science; Computational Science and Engineering; Computational model; Bioinformatics; Computational biology; Data science; Artificial intelligence; Biology; Machine learning","score_opus":0.018590167811782025,"score_gpt":0.305286550832042,"score_spread":0.28669638302025996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280557546","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000191419,0.002607455,0.00010398317,0.025193164,0.9692281,0.000020663701,0.00007484521,0.00005423411,0.0026983868],"genre_scores_gemma":[0.00040721014,0.0027895868,0.00017736596,0.030216219,0.9412832,0.000043157263,0.000112039255,0.00008067538,0.024890497],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9937132,0.0009104359,0.000486691,0.0006285529,0.003782503,0.00047866418],"domain_scores_gemma":[0.9796301,0.0055878134,0.0011815995,0.00046061364,0.0092225745,0.003917367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008276168,0.0036750657,0.0039831134,0.003982771,0.003893698,0.011020575,0.0035559596,0.017054835,0.03634274],"category_scores_gemma":[0.028737718,0.0013328246,0.0026776206,0.0018095054,0.0023886007,0.004873257,0.0022480204,0.017946929,0.040098514],"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":[0.00001853643,0.000005373383,0.000006778498,0.000052024792,0.000007096851,0.000028612694,0.0000024254336,0.000009040787,0.000019102712,0.0001229225,0.9977209,0.0020071983],"study_design_scores_gemma":[0.000071502014,0.000017100154,0.00015433555,0.00020219057,0.00003371495,0.00009140409,0.000014732174,0.00009869509,0.0000741781,0.001041626,0.9981851,0.000015390922],"about_ca_topic_score_codex":0.0021416263,"about_ca_topic_score_gemma":0.008017798,"teacher_disagreement_score":0.03634274,"about_ca_system_score_codex":0.003240456,"about_ca_system_score_gemma":0.003979438,"threshold_uncertainty_score":0.121578574},"labels":[],"label_agreement":null},{"id":"W4280580807","doi":"10.1016/j.biosystems.2022.104694","title":"Cellular sentience as the primary source of biological order and evolution","year":2022,"lang":"en","type":"article","venue":"Biosystems","topic":"Plant and Biological Electrophysiology Studies","field":"Agricultural and Biological Sciences","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 British Columbia","funders":"","keywords":"Sentience; Artificial life; Biology; Order (exchange); Cognitive science; Slime mold; Computer science; Evolutionary biology; Ecology; Psychology; Artificial intelligence; Cell biology; Business","score_opus":0.014744251364452258,"score_gpt":0.17740612923489082,"score_spread":0.16266187787043856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280580807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85627705,0.003924754,0.050850146,0.0019772241,0.00019069013,0.000057420864,0.00033915404,0.00020336274,0.08618028],"genre_scores_gemma":[0.9918989,0.00065899285,0.004169394,0.00009867849,0.00005771597,0.000016484759,0.00009576495,0.00006192404,0.0029420971],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99948835,0.0001104929,0.000026118276,0.00016812189,0.00013492569,0.00007204125],"domain_scores_gemma":[0.9986142,0.00043191272,0.00018890674,0.00024663875,0.00029333855,0.00022502997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087117887,0.00033552523,0.0005197852,0.0014103989,0.0011573166,0.0031758014,0.0008447011,0.0012015954,0.003802682],"category_scores_gemma":[0.002574245,0.0003832419,0.00030781762,0.0012180611,0.004677445,0.0028217137,0.0017521732,0.0014660185,0.0006000818],"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":[0.00032590225,0.00009736851,0.039921004,0.0007631752,0.00022748714,0.0017309008,0.0116697345,0.006040614,0.3057227,0.48232833,0.0014936104,0.14967917],"study_design_scores_gemma":[0.00006644647,0.0010668404,0.43285817,0.00032981634,0.00027624823,0.0037573453,0.009934889,0.019109663,0.05782507,0.40360805,0.07068103,0.00048640213],"about_ca_topic_score_codex":0.0012527257,"about_ca_topic_score_gemma":0.0014729614,"teacher_disagreement_score":0.003802682,"about_ca_system_score_codex":0.0011445279,"about_ca_system_score_gemma":0.00073691853,"threshold_uncertainty_score":0.0127212405},"labels":[],"label_agreement":null},{"id":"W4281989749","doi":"10.1016/j.biosystems.2022.104719","title":"Editorial: Fundamental principles of biological computation: From molecular computing to evolutionary complexity","year":2022,"lang":"en","type":"editorial","venue":"Biosystems","topic":"Fractal and DNA sequence analysis","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":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Evolutionary computation; Computation; Theoretical computer science; Artificial intelligence; Algorithm","score_opus":0.028871590751732602,"score_gpt":0.2876514512727938,"score_spread":0.25877986052106117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281989749","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000021049273,0.0053670737,0.00012090966,0.029550314,0.9635238,0.00001461089,0.000034954668,0.000033349523,0.0013340097],"genre_scores_gemma":[0.0003112774,0.002524316,0.00007687268,0.016622245,0.9731791,0.000019821548,0.000021125357,0.000029710072,0.0072156144],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99483657,0.0009413915,0.00047136482,0.00060472457,0.0028023957,0.00034355666],"domain_scores_gemma":[0.98067117,0.00857258,0.0010276275,0.00044440356,0.0065232273,0.0027610362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00680425,0.0045069316,0.004376114,0.0045358925,0.004036747,0.00963874,0.0046028295,0.020468144,0.015134494],"category_scores_gemma":[0.02562632,0.0015396416,0.003223688,0.0019264257,0.0038215872,0.004915352,0.002093949,0.022118326,0.010666445],"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":[0.000024118946,0.000008917894,0.000010664764,0.00010415367,0.000015265414,0.000056581266,0.0000054842294,0.0000233149,0.000033589342,0.00025561967,0.9974848,0.0019773783],"study_design_scores_gemma":[0.00010739449,0.000028170702,0.00024965964,0.00046209712,0.00007445628,0.00023849196,0.00003028051,0.0003349122,0.00012884659,0.0026156262,0.9957027,0.000027325628],"about_ca_topic_score_codex":0.002503756,"about_ca_topic_score_gemma":0.0073168464,"teacher_disagreement_score":0.020468144,"about_ca_system_score_codex":0.0040622167,"about_ca_system_score_gemma":0.0035487283,"threshold_uncertainty_score":0.050629914},"labels":[],"label_agreement":null},{"id":"W4283158739","doi":"10.1016/j.biosystems.2022.104729","title":"Phase offset determines alpha modulation of gamma phase coherence and hence signal transmission","year":2022,"lang":"en","type":"article","venue":"Biosystems","topic":"Neural dynamics and brain function","field":"Neuroscience","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":"Coherence (philosophical gambling strategy); Offset (computer science); Phase coherence; Phase (matter); Sine; Physics; Transmission (telecommunications); Sine wave; Modulation (music); Coherence time; Phase modulation; Optics; Algorithm; Statistical physics; Computer science; Mathematics; Acoustics; Quantum mechanics; Telecommunications; Geometry; Condensed matter physics","score_opus":0.03869253608972956,"score_gpt":0.2870552066449572,"score_spread":0.24836267055522765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283158739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9121164,0.0006367243,0.073655404,0.00018165633,0.0001300842,0.000045327026,0.00018817154,0.0001656197,0.0128805535],"genre_scores_gemma":[0.99182874,0.0002522411,0.0061672665,0.000045402634,0.00003395076,0.000012711178,0.000089321664,0.00007781121,0.0014926273],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998996,0.000016301907,0.000005780539,0.000030093343,0.000028426964,0.000019873762],"domain_scores_gemma":[0.99953187,0.0002524999,0.00006295022,0.000029481926,0.00007648751,0.000046762834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019832086,0.00025870523,0.00018888585,0.00028866698,0.00027477776,0.0006748327,0.00023071561,0.00027801664,0.005072533],"category_scores_gemma":[0.0020070872,0.0002668122,0.00011945543,0.000270317,0.00026343064,0.00066646375,0.00032728777,0.00042712485,0.00083986117],"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":[0.00039896002,0.00006699239,0.008652317,0.00008011526,0.00002050355,0.00019208556,0.00011983254,0.00087065,0.95542496,0.004813848,0.0001717678,0.029188054],"study_design_scores_gemma":[0.0001431645,0.0010656798,0.3459192,0.000095477415,0.0001661206,0.0034754423,0.0005191366,0.045875072,0.57644683,0.022346435,0.0038794216,0.000068020425],"about_ca_topic_score_codex":0.00026811476,"about_ca_topic_score_gemma":0.00045191357,"teacher_disagreement_score":0.005072533,"about_ca_system_score_codex":0.00023343926,"about_ca_system_score_gemma":0.00022422857,"threshold_uncertainty_score":0.016969323},"labels":[],"label_agreement":null},{"id":"W4294878008","doi":"10.1016/j.biosystems.2022.104774","title":"The reversibility of cellular determination: An evolutive pattern of epigenetic plasticity","year":2022,"lang":"en","type":"article","venue":"Biosystems","topic":"Pluripotent Stem Cells Research","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":"Memorial University of Newfoundland","funders":"","keywords":"Transdifferentiation; Epigenetics; Reprogramming; Biology; Epigenesis; Plasticity; Neuroscience; Feature (linguistics); Evolutionary biology; Computer science; Cell; Genetics; DNA methylation; Gene expression; Physics","score_opus":0.014657851607681583,"score_gpt":0.2548279566507088,"score_spread":0.24017010504302722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294878008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8708122,0.0042717084,0.07701419,0.0018885012,0.00022173855,0.000044491488,0.0003792552,0.0005797991,0.044788055],"genre_scores_gemma":[0.9903764,0.0008359157,0.004074101,0.00020063967,0.00005034658,0.000016920281,0.000106541236,0.00009029414,0.0042488],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995826,0.0000635629,0.000022937767,0.00014581544,0.0001372257,0.000047916048],"domain_scores_gemma":[0.998806,0.00037218892,0.00013847697,0.0004513733,0.0001430771,0.00008890563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005503509,0.00020505636,0.00029544544,0.000565071,0.00035642946,0.0010801825,0.0008358852,0.00047495615,0.0027326138],"category_scores_gemma":[0.0017831604,0.0002180875,0.00022279311,0.0003149576,0.0018014394,0.0012452697,0.00092612795,0.00095799094,0.00042920536],"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":[0.00016816148,0.00003477099,0.006426698,0.00010085134,0.00004673111,0.00027499994,0.00046256214,0.0018584842,0.82000417,0.10366811,0.00050246855,0.06645207],"study_design_scores_gemma":[0.00008427676,0.0009331769,0.15476437,0.00011120959,0.000119723656,0.0032875217,0.0009915562,0.014077062,0.6212865,0.15912665,0.045034092,0.00018378375],"about_ca_topic_score_codex":0.00022392733,"about_ca_topic_score_gemma":0.0003815286,"teacher_disagreement_score":0.0027326138,"about_ca_system_score_codex":0.000490652,"about_ca_system_score_gemma":0.00033295262,"threshold_uncertainty_score":0.009141445},"labels":[],"label_agreement":null},{"id":"W4295166759","doi":"10.1016/j.biosystems.2022.104779","title":"Fundamentals of evolutionary transformations in biological systems","year":2022,"lang":"en","type":"editorial","venue":"Biosystems","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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Computational biology; Evolutionary biology; Biology","score_opus":0.009994564497973648,"score_gpt":0.2547675097835722,"score_spread":0.24477294528559856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295166759","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00003336804,0.029219313,0.0007198996,0.030136116,0.9366372,0.000009876809,0.000028461014,0.00004296395,0.0031727918],"genre_scores_gemma":[0.0010281052,0.016099336,0.0004450252,0.015251151,0.9551654,0.000021678736,0.000019541447,0.000044250857,0.011925637],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99681574,0.0009993345,0.00038780738,0.00029241538,0.0013345592,0.00017011505],"domain_scores_gemma":[0.98808694,0.006965644,0.00044376383,0.00031460708,0.0033109295,0.000878141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006415063,0.0034030168,0.0022700357,0.0029969537,0.0022939907,0.006153721,0.0035874918,0.011293935,0.008229541],"category_scores_gemma":[0.014461201,0.0009650693,0.0017004746,0.0014212995,0.0052762437,0.0052490174,0.0017845706,0.021436157,0.005475781],"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":[0.000025844916,0.0000121370085,0.000017173004,0.00037528275,0.00003135142,0.00011336172,0.0000308513,0.00010266217,0.00007760596,0.0063282936,0.9818841,0.011001241],"study_design_scores_gemma":[0.000028877967,0.000014942324,0.00012206129,0.0002668526,0.000033049822,0.0001736251,0.000023282879,0.00028372224,0.000104212864,0.009768936,0.9891635,0.000016950953],"about_ca_topic_score_codex":0.002112979,"about_ca_topic_score_gemma":0.005007207,"teacher_disagreement_score":0.011293935,"about_ca_system_score_codex":0.0030877127,"about_ca_system_score_gemma":0.002159843,"threshold_uncertainty_score":0.033926547},"labels":[],"label_agreement":null},{"id":"W4295241395","doi":"10.1016/j.biosystems.2022.104771","title":"Genome-scale prediction of bacterial promoters","year":2022,"lang":"en","type":"article","venue":"Biosystems","topic":"Genomics and Phylogenetic Studies","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":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Promoter; Biology; Genome; Genetics; Computational biology; Gene; RNA polymerase; DNA; Consensus sequence; Transcription (linguistics); DNA sequencing; RNA; Gene expression; Base sequence","score_opus":0.00943816777362904,"score_gpt":0.1927187262435288,"score_spread":0.18328055846989974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295241395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82091165,0.0023321216,0.15565334,0.00046609837,0.00008666973,0.00012343618,0.011171122,0.004690796,0.004564738],"genre_scores_gemma":[0.8871059,0.00075359014,0.086328745,0.00007252792,0.00002410756,0.00006345169,0.023959273,0.00031332587,0.0013790631],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988306,0.000025478283,0.000005092785,0.000036310845,0.00003096308,0.00001897378],"domain_scores_gemma":[0.9996793,0.00015606258,0.000027162603,0.00003403911,0.00006295788,0.000040549854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027146607,0.00063591846,0.0006043193,0.00073244964,0.00038783535,0.00066236657,0.00039525874,0.0005448143,0.0012045985],"category_scores_gemma":[0.00082950224,0.00030882764,0.00059302046,0.00067560846,0.0002113023,0.00033411928,0.00033648973,0.0009133727,0.0014473936],"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":[0.0019794283,0.00055856147,0.028320296,0.00092327676,0.00013793533,0.0010932265,0.00020929321,0.124678515,0.72254807,0.007999617,0.005385773,0.106166065],"study_design_scores_gemma":[0.00016505126,0.00039811467,0.022702413,0.000083869636,0.00014214609,0.00046857845,0.0002694913,0.7427131,0.20575047,0.012257699,0.0150055,0.000043631997],"about_ca_topic_score_codex":0.0020662753,"about_ca_topic_score_gemma":0.003253889,"teacher_disagreement_score":0.0020662753,"about_ca_system_score_codex":0.0005019088,"about_ca_system_score_gemma":0.0008719945,"threshold_uncertainty_score":0.004108429},"labels":[],"label_agreement":null},{"id":"W4304128068","doi":"10.1016/j.biosystems.2022.104790","title":"Adversarial deep evolutionary learning for drug design","year":2022,"lang":"en","type":"article","venue":"Biosystems","topic":"Computational Drug Discovery Methods","field":"Computer 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":"National Research Council Canada; Brock University","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Autoencoder; Artificial intelligence; Computer science; Deep learning; Machine learning; Representation (politics); Chemical space; Space (punctuation); Process (computing); Adversarial system; Evolutionary algorithm; Set (abstract data type); Latent variable; Drug discovery","score_opus":0.027971013179992475,"score_gpt":0.26992398661946915,"score_spread":0.24195297343947667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304128068","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":[0.034311797,0.0017757217,0.95540076,0.001404291,0.00015300432,0.00006319186,0.0001967089,0.0006289591,0.0060655857],"genre_scores_gemma":[0.8283286,0.0010722721,0.15468714,0.0010182543,0.00018536318,0.00021243707,0.00046672748,0.0001391506,0.0138900615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996815,0.00013574157,0.000011939433,0.00004860483,0.000082740895,0.00003957922],"domain_scores_gemma":[0.998582,0.0010669428,0.00007357233,0.00009058514,0.00012793511,0.000058902788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012342287,0.0006778603,0.0010266467,0.00072222186,0.0003298331,0.0006020519,0.0012005286,0.0015022362,0.0032789458],"category_scores_gemma":[0.0031839889,0.00052938005,0.0005353609,0.0005941126,0.000972841,0.0008841025,0.0012946498,0.0019488605,0.000550846],"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":[0.00003725523,0.000034673478,0.0002854229,0.000044807777,0.000030926818,0.000026677217,0.000014230685,0.9517778,0.00056137564,0.0123212,0.0018326811,0.03303295],"study_design_scores_gemma":[0.0000032222995,0.000008807366,0.000022501017,0.000004553406,0.0000027200188,0.000004419955,0.0000012728184,0.99383837,0.00015111908,0.00573942,0.00022218743,0.0000013211358],"about_ca_topic_score_codex":0.0032832357,"about_ca_topic_score_gemma":0.0036324575,"teacher_disagreement_score":0.0032832357,"about_ca_system_score_codex":0.0010347965,"about_ca_system_score_gemma":0.0008038282,"threshold_uncertainty_score":0.010969162},"labels":[],"label_agreement":null},{"id":"W4308891830","doi":"10.1016/j.biosystems.2022.104803","title":"Getting the news in milliseconds: The role of early novelty detection in active electrosensory exploration","year":2022,"lang":"en","type":"article","venue":"Biosystems","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":4,"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":"Australian Research Council; Agricultural Adaptation Council; American College of Physicians; Agencia Nacional de Investigación e Innovación","keywords":"Electric fish; Novelty; Electroreception; Amplitude; Spatiotemporal pattern; Neuroscience; Stimulus (psychology); Adaptation (eye); Rhythm; Computer science; Physics; Sensory system; Biology; Psychology; Fish <Actinopterygii>; Acoustics; Optics","score_opus":0.016055851281716216,"score_gpt":0.22251139710106976,"score_spread":0.20645554581935355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308891830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92418903,0.005053292,0.028920885,0.0032466887,0.001250347,0.00007231427,0.0004258051,0.00037094246,0.036470674],"genre_scores_gemma":[0.9878501,0.0011118856,0.0068705776,0.0004652999,0.0003046259,0.00004022609,0.00011922883,0.00012481354,0.0031130773],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99958175,0.0000913728,0.000020334166,0.000107137326,0.00013271077,0.00006665701],"domain_scores_gemma":[0.99656206,0.0018560938,0.0005051886,0.0002600179,0.00030479816,0.0005118521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009667916,0.0003407716,0.0003257646,0.0005201455,0.0005778083,0.002808051,0.0006219195,0.0011198209,0.007005245],"category_scores_gemma":[0.009866626,0.00034118816,0.00023244934,0.00034911826,0.0010119226,0.0031323484,0.0010641529,0.0015436184,0.00085369544],"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":[0.0033361942,0.00075379835,0.065851696,0.0007611275,0.00023550392,0.00091456546,0.0029776904,0.005161749,0.52661896,0.05800014,0.00808728,0.32730138],"study_design_scores_gemma":[0.00052271516,0.0026024655,0.65192544,0.00053757743,0.00038126053,0.0015184454,0.0034167452,0.056981463,0.06831393,0.19267873,0.020679312,0.00044179612],"about_ca_topic_score_codex":0.0008257885,"about_ca_topic_score_gemma":0.0011238593,"teacher_disagreement_score":0.007005245,"about_ca_system_score_codex":0.00027624558,"about_ca_system_score_gemma":0.00059598364,"threshold_uncertainty_score":0.023434877},"labels":[],"label_agreement":null},{"id":"W4316126949","doi":"10.1016/j.biosystems.2023.104837","title":"Toward understanding the emergence of life: A dual function of the system of nucleotides in the metabolically closed autopoietic organization","year":2023,"lang":"en","type":"article","venue":"Biosystems","topic":"Origins and Evolution of Life","field":"Physics and Astronomy","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Umeå Universitet","keywords":"Nucleotide; Biology; Function (biology); Ribozyme; Biochemistry; Chemistry; RNA; Cell biology; Gene","score_opus":0.0342617134610347,"score_gpt":0.22929041670512904,"score_spread":0.19502870324409433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316126949","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":[0.03763313,0.15460935,0.56264305,0.054254938,0.0028035447,0.00008842698,0.00012368722,0.0005001251,0.18734376],"genre_scores_gemma":[0.63092566,0.08595016,0.25025275,0.0051306533,0.0029486911,0.00022345396,0.00014704502,0.00029141028,0.024130268],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99950075,0.00023289981,0.000015461497,0.00009682097,0.000106097774,0.000048042803],"domain_scores_gemma":[0.9992331,0.00042412273,0.00009966823,0.000077677236,0.00007895844,0.00008645447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014670849,0.0006205285,0.0004850862,0.0015046383,0.001299605,0.0038699957,0.0010721816,0.002085465,0.001813956],"category_scores_gemma":[0.0012927799,0.00029764842,0.00037894936,0.00089036,0.017337156,0.008689834,0.0024067424,0.0038946783,0.0007900414],"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":[0.0000038357134,0.000004533155,0.00011338283,0.000038003018,0.0000022264965,0.000045682755,0.00069758005,0.00044442894,0.00043759192,0.99275947,0.00070199906,0.0047512497],"study_design_scores_gemma":[0.0000014681881,0.0000070990677,0.00012581346,0.00004258604,0.000002378348,0.00006276259,0.00019974347,0.0011472295,0.00022160399,0.95952487,0.03865635,0.00000800674],"about_ca_topic_score_codex":0.0012207894,"about_ca_topic_score_gemma":0.001156137,"teacher_disagreement_score":0.0038699957,"about_ca_system_score_codex":0.0019053147,"about_ca_system_score_gemma":0.0011744866,"threshold_uncertainty_score":0.013824165},"labels":[],"label_agreement":null},{"id":"W4366831064","doi":"10.1016/j.biosystems.2023.104905","title":"Metabolic Control Analysis of triacylglycerol accumulation in oilseed rape","year":2023,"lang":"en","type":"article","venue":"Biosystems","topic":"Lipid metabolism and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"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; Saskatchewan Research Council (Canada)","funders":"Biotechnology and Biological Sciences Research Council","keywords":"Flux (metallurgy); Productivity; Control (management); Environmental science; Assimilation (phonology); Biochemical engineering; Agronomy; Biology; Biotechnology; Agricultural engineering; Biological system; Chemistry; Computer science; Economics; Engineering","score_opus":0.024544367704676964,"score_gpt":0.2886524928558197,"score_spread":0.26410812515114274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366831064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863029,0.0003432328,0.010814224,0.000030314435,0.0000062605236,0.00002203946,0.0009360131,0.00010051536,0.0014445232],"genre_scores_gemma":[0.99370414,0.00034423414,0.003830891,0.000013260255,0.000002444692,0.000028442902,0.0007837898,0.000028629593,0.0012640344],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998957,0.00001348108,0.000008856247,0.000035017718,0.000033343982,0.000013585803],"domain_scores_gemma":[0.9998524,0.00005848199,0.000029508288,0.000016854976,0.000031814456,0.000010845021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016622824,0.0002575542,0.00021888225,0.0007193948,0.00016340999,0.00031623183,0.00017567187,0.0001395811,0.00046633655],"category_scores_gemma":[0.00030240664,0.00009389593,0.0003307721,0.0006971403,0.00015923378,0.00011015604,0.000095495016,0.00019224327,0.00015256715],"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":[0.0002352641,0.000014916273,0.0014313991,0.00002146297,0.000011927967,0.000054827324,0.00002452095,0.0018874675,0.9936672,0.00024280442,0.000016561116,0.0023915686],"study_design_scores_gemma":[0.00000958735,0.00013193066,0.026410043,0.0000031142197,0.00002145083,0.000092353024,0.00006565062,0.018468259,0.9539002,0.00027466257,0.00060295465,0.000019820998],"about_ca_topic_score_codex":0.010212794,"about_ca_topic_score_gemma":0.0051893853,"teacher_disagreement_score":0.010212794,"about_ca_system_score_codex":0.0007424201,"about_ca_system_score_gemma":0.00023716742,"threshold_uncertainty_score":0.020306647},"labels":[],"label_agreement":null},{"id":"W4378979656","doi":"10.1016/j.biosystems.2023.104935","title":"All lockdowns are not equal: Reducing epidemic impact through evolutionary computation","year":2023,"lang":"en","type":"article","venue":"Biosystems","topic":"COVID-19 epidemiological studies","field":"Mathematics","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; Brock University","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Selection (genetic algorithm); Population; Computation; Mathematics; Mathematical optimization; Epidemic model; Statistics; Computer science; Biology; Algorithm; Artificial intelligence; Medicine","score_opus":0.45708924302309634,"score_gpt":0.48796246946856636,"score_spread":0.030873226445470026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378979656","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":[0.3379042,0.0007460472,0.6235329,0.0061787735,0.00053653325,0.00008561867,0.00017736541,0.0007634945,0.030075097],"genre_scores_gemma":[0.9654627,0.00015574397,0.029595245,0.00039302706,0.00007488536,0.00004744563,0.000050487306,0.000097728655,0.004122771],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987363,0.00052419887,0.00004728569,0.00025032405,0.00018768264,0.00025420717],"domain_scores_gemma":[0.98636913,0.010233981,0.0005572674,0.0015316211,0.0006118231,0.00069624954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002622819,0.00058089674,0.0011712059,0.00081824936,0.00126372,0.0021574507,0.002187476,0.0020769087,0.009518052],"category_scores_gemma":[0.03328118,0.00058228534,0.0007013331,0.0006709235,0.0028207183,0.004635052,0.0028435127,0.002716464,0.00045649256],"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":[0.00032988825,0.00016134839,0.002809437,0.00012617063,0.00010092909,0.00015584452,0.00032310834,0.59965163,0.0019095727,0.34549046,0.0034380604,0.04550355],"study_design_scores_gemma":[0.00004378322,0.00006064333,0.0003947878,0.000021664659,0.000036332338,0.000040868603,0.000107678534,0.6757033,0.00042682016,0.32223105,0.0009136245,0.000019430985],"about_ca_topic_score_codex":0.0030741435,"about_ca_topic_score_gemma":0.0030961684,"teacher_disagreement_score":0.009518052,"about_ca_system_score_codex":0.0011800391,"about_ca_system_score_gemma":0.0016793718,"threshold_uncertainty_score":0.0318411},"labels":[],"label_agreement":null},{"id":"W4382680786","doi":"10.1016/j.biosystems.2023.104964","title":"Toward an ethics of autopoietic technology: Stress, care, and intelligence","year":2023,"lang":"en","type":"article","venue":"Biosystems","topic":"Embodied and Extended Cognition","field":"Neuroscience","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":"McGill University","funders":"Templeton World Charity Foundation","keywords":"Autopoiesis; Agency (philosophy); Epistemology; Ontology; Transformational leadership; Autonomy; Cognitive science; Sociology; Transhumanism; Acknowledgement; Psychology; Computer science; Artificial intelligence; Social psychology; Philosophy","score_opus":0.10048094929334268,"score_gpt":0.33206424986138794,"score_spread":0.23158330056804527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382680786","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":[0.17999232,0.008697947,0.28400153,0.16825864,0.00088855793,0.00013434466,0.00007210001,0.00015699722,0.35779756],"genre_scores_gemma":[0.978357,0.0009502004,0.012594577,0.0024926004,0.00018527303,0.00008783794,0.000013612492,0.000024711222,0.0052941856],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9964044,0.0023983212,0.000101851096,0.00026530214,0.00060438516,0.00022580649],"domain_scores_gemma":[0.9966678,0.0017198247,0.0004064746,0.00044927615,0.0004067344,0.00034997554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005340694,0.00033423078,0.0003241326,0.0007276509,0.002734148,0.0057087457,0.0007472193,0.0033160502,0.0014739556],"category_scores_gemma":[0.0055996347,0.00020526197,0.00036326493,0.00047375562,0.036243767,0.0067987936,0.0044427854,0.004305052,0.0002742755],"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":[0.0000048388115,0.0000050197486,0.00015566288,0.000010271762,0.000001023171,0.000018890012,0.0022119158,0.00018054595,0.00009104517,0.99495137,0.00038352842,0.0019860303],"study_design_scores_gemma":[0.000004281627,0.000008224726,0.00020690088,0.00002724719,0.0000013249145,0.000039097522,0.001189874,0.00072743907,0.0001445699,0.9843387,0.013306622,0.000005794632],"about_ca_topic_score_codex":0.0014111511,"about_ca_topic_score_gemma":0.0010035225,"teacher_disagreement_score":0.0057087457,"about_ca_system_score_codex":0.0029747665,"about_ca_system_score_gemma":0.0029624556,"threshold_uncertainty_score":0.028244615},"labels":[],"label_agreement":null},{"id":"W4385260680","doi":"10.1016/j.biosystems.2023.104983","title":"Reflexive structure of the conscious subject and the origin of language codes","year":2023,"lang":"en","type":"article","venue":"Biosystems","topic":"Action Observation and Synchronization","field":"Psychology","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":"Memorial University of Newfoundland","funders":"","keywords":"Reflexivity; Semiotics; Subject (documents); Perception; Action (physics); Computer science; Cognitive science; Linguistics; Communication; Epistemology; Psychology; Sociology; Philosophy; Social science; World Wide Web","score_opus":0.028478342328885048,"score_gpt":0.32659914961000014,"score_spread":0.2981208072811151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385260680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.517626,0.0011542076,0.36550936,0.002549922,0.00028757242,0.000053343,0.00020194508,0.0004437264,0.11217397],"genre_scores_gemma":[0.98602295,0.00013191272,0.011315388,0.000047859347,0.00006790939,0.00001763672,0.00003473712,0.0000660316,0.0022956333],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995602,0.00013495584,0.00001885026,0.00012102499,0.00010923368,0.000055733566],"domain_scores_gemma":[0.9978669,0.0012413589,0.0001786796,0.00039801735,0.00020983005,0.00010520232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079870026,0.00012893985,0.00022815401,0.00069078204,0.00048138623,0.0016932752,0.00059018366,0.0006236944,0.0039223167],"category_scores_gemma":[0.004912144,0.00024482264,0.0002487582,0.00033415624,0.0044750515,0.0022200563,0.0009587392,0.00104095,0.0003842538],"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":[0.00007254157,0.000016773069,0.0009215302,0.000039395018,0.0000128839165,0.000097851895,0.0022973826,0.0010240102,0.020524627,0.96198165,0.00029890725,0.012712538],"study_design_scores_gemma":[0.00002830196,0.000054917968,0.0055641476,0.000029017116,0.000010989052,0.00015818463,0.00050538697,0.00991611,0.005373002,0.9750123,0.0033178292,0.000029945271],"about_ca_topic_score_codex":0.0006347858,"about_ca_topic_score_gemma":0.00039491357,"teacher_disagreement_score":0.0039223167,"about_ca_system_score_codex":0.00043404195,"about_ca_system_score_gemma":0.00048128,"threshold_uncertainty_score":0.013121426},"labels":[],"label_agreement":null},{"id":"W4385605881","doi":"10.1016/j.biosystems.2023.104989","title":"Examining multi-objective deep reinforcement learning frameworks for molecular design","year":2023,"lang":"en","type":"article","venue":"Biosystems","topic":"Computational Drug Discovery Methods","field":"Computer Science","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":"National Research Council Canada; Brock University","funders":"","keywords":"Reinforcement learning; Computer science; Artificial intelligence; Reinforcement; Engineering","score_opus":0.07380128584647452,"score_gpt":0.3250434305026681,"score_spread":0.25124214465619354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385605881","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":[0.26022717,0.0021764517,0.72267705,0.0024839581,0.00011839795,0.0001180562,0.00013183216,0.0003808503,0.011686223],"genre_scores_gemma":[0.93717,0.0003910278,0.058679882,0.00021836907,0.000054345575,0.00010304367,0.0000735234,0.000050329076,0.0032594057],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944526,0.00033051072,0.000016520886,0.000062286046,0.00008202884,0.00006337115],"domain_scores_gemma":[0.99330926,0.005751837,0.00029248928,0.00015422453,0.00032534736,0.00016684081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003195214,0.0008110796,0.0010771962,0.00063316314,0.0003729236,0.00091766316,0.001490505,0.0016517848,0.0027464596],"category_scores_gemma":[0.009532105,0.00059574965,0.00048784664,0.0004127365,0.001030141,0.0013670927,0.001272155,0.0016730641,0.00019417556],"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":[0.000028892402,0.000027943079,0.00024879185,0.000022545073,0.00001241171,0.000008706235,0.000009662453,0.9886939,0.000070133756,0.0063697617,0.0001512135,0.00435616],"study_design_scores_gemma":[0.000003915658,0.00000891127,0.000015936237,0.000002378657,0.0000014100469,7.2800543e-7,0.0000015226917,0.9979233,0.000018483219,0.0019926701,0.000029941863,6.727096e-7],"about_ca_topic_score_codex":0.008581996,"about_ca_topic_score_gemma":0.008344009,"teacher_disagreement_score":0.008581996,"about_ca_system_score_codex":0.0016050265,"about_ca_system_score_gemma":0.0016147615,"threshold_uncertainty_score":0.017064095},"labels":[],"label_agreement":null},{"id":"W4386052424","doi":"10.1016/j.biosystems.2023.105008","title":"Autopoiesis: Foundations of life, cognition, and emergence of self/other","year":2023,"lang":"en","type":"editorial","venue":"Biosystems","topic":"Origins and Evolution of Life","field":"Physics and Astronomy","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 Waterloo","funders":"","keywords":"Autopoiesis; Cognition; Cognitive science; Enactivism; Ecology; Psychology; Epistemology; Biology; Philosophy; Neuroscience","score_opus":0.01371340616406532,"score_gpt":0.2668136180521869,"score_spread":0.2531002118881216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386052424","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00003245837,0.016000586,0.00016751928,0.025093246,0.95621276,0.000010645243,0.0000313891,0.000024913697,0.0024264338],"genre_scores_gemma":[0.0006173371,0.0076677212,0.00008402861,0.0051590363,0.9793036,0.000012493526,0.000014644098,0.000016598464,0.007124482],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965307,0.00068729656,0.00031179155,0.0003226133,0.0019602817,0.00018729085],"domain_scores_gemma":[0.98194236,0.010411294,0.00067612814,0.00041353315,0.0049584853,0.0015981372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006554536,0.0027294024,0.0029385514,0.0037851844,0.0033442865,0.010237266,0.0033837557,0.012793065,0.010537471],"category_scores_gemma":[0.017654518,0.0010450563,0.0017976946,0.001846742,0.0046224985,0.004644715,0.0016729684,0.016461063,0.004703517],"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":[0.000026146141,0.00000976222,0.000022392835,0.00030472773,0.000020438492,0.000083469364,0.000031572723,0.000050327453,0.00005262761,0.0029100364,0.98910636,0.0073821098],"study_design_scores_gemma":[0.00004392378,0.000016803464,0.00025715135,0.00052159483,0.00004166659,0.00016391758,0.00007300436,0.00028199627,0.00008611078,0.009665634,0.9888255,0.000022631466],"about_ca_topic_score_codex":0.0035408256,"about_ca_topic_score_gemma":0.011009863,"teacher_disagreement_score":0.012793065,"about_ca_system_score_codex":0.004015849,"about_ca_system_score_gemma":0.0045017786,"threshold_uncertainty_score":0.03525138},"labels":[],"label_agreement":null},{"id":"W4386171634","doi":"10.1016/j.biosystems.2023.105006","title":"Freezing of gait in Parkinson’s disease: Classification using computational intelligence","year":2023,"lang":"en","type":"article","venue":"Biosystems","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","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":"Brock University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Physical medicine and rehabilitation; Gait; Parkinson's disease; Postural instability; Cognition; Disease; Task (project management); Decision tree; Psychology; Machine learning; Computer science; Medicine; Neuroscience; Pathology","score_opus":0.08035790433923651,"score_gpt":0.32486049838172243,"score_spread":0.24450259404248592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386171634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89267015,0.0025019594,0.09658943,0.00068368786,0.00015647628,0.00022099652,0.0030094173,0.0005802035,0.0035877607],"genre_scores_gemma":[0.98456514,0.00037168077,0.013352058,0.000032470507,0.000029664376,0.00003786504,0.0011984628,0.00001092889,0.0004017297],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997328,0.000052611515,0.00004713606,0.00005737872,0.00006359646,0.00004634102],"domain_scores_gemma":[0.99894875,0.0005393903,0.00017137121,0.000077412304,0.00019068767,0.00007243654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007091712,0.0004553328,0.00050795556,0.0036558772,0.0002994844,0.0012061858,0.00042322924,0.0005663114,0.0010000037],"category_scores_gemma":[0.0025195708,0.00014775306,0.000952399,0.0014350106,0.00041274168,0.00048212972,0.0005190302,0.0005602495,0.00028733062],"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":[0.0012174764,0.00053762196,0.43046817,0.00028782524,0.00049249595,0.0006060057,0.00032787223,0.08538523,0.0073853442,0.002135307,0.0047909226,0.46636572],"study_design_scores_gemma":[0.000028819959,0.0002091186,0.19952247,0.00010377862,0.0001429544,0.0008103616,0.00031514282,0.7896042,0.0021654204,0.006086857,0.0009587164,0.000052194217],"about_ca_topic_score_codex":0.009568293,"about_ca_topic_score_gemma":0.007756351,"teacher_disagreement_score":0.009568293,"about_ca_system_score_codex":0.0006027314,"about_ca_system_score_gemma":0.00043747845,"threshold_uncertainty_score":0.019025207},"labels":[],"label_agreement":null},{"id":"W4386278166","doi":"10.1016/j.biosystems.2023.105013","title":"How biological codes break causal chains to enable autonomy for organisms","year":2023,"lang":"en","type":"article","venue":"Biosystems","topic":"Origins and Evolution of Life","field":"Physics and Astronomy","cited_by":11,"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":"Queen's University; Queen's University Belfast","keywords":"Computer science; Cybernetics; Theoretical computer science; Artificial intelligence","score_opus":0.0368452767394175,"score_gpt":0.2684117657561608,"score_spread":0.23156648901674332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386278166","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":[0.03513513,0.0030458097,0.7733297,0.023265863,0.001702225,0.00015160635,0.00042277458,0.001771955,0.16117485],"genre_scores_gemma":[0.7248962,0.0030601376,0.22531322,0.0047360826,0.0008533689,0.0005578626,0.0005400109,0.0012995009,0.03874372],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9955017,0.0016828337,0.00026073,0.00090584456,0.0011683002,0.0004805516],"domain_scores_gemma":[0.9889548,0.005470412,0.00080065534,0.0030842766,0.0011244826,0.0005655399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004559296,0.00068491214,0.00060922396,0.0019244417,0.0024091927,0.00718582,0.0014754167,0.0031421564,0.010575327],"category_scores_gemma":[0.019794436,0.0008446653,0.0010855984,0.00088027155,0.019829277,0.012705446,0.004506944,0.005053835,0.003291299],"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":[0.000011906685,0.0000071723857,0.00013592668,0.000029470959,0.0000087233375,0.000047053334,0.0006321986,0.0019146674,0.0004404789,0.9890954,0.0010437994,0.0066331923],"study_design_scores_gemma":[0.000014579044,0.00000857905,0.000065692504,0.00003420416,0.000006726655,0.000051820803,0.0001290598,0.002160732,0.0005393907,0.97355384,0.023417497,0.000017826149],"about_ca_topic_score_codex":0.0035915817,"about_ca_topic_score_gemma":0.0026627837,"teacher_disagreement_score":0.010575327,"about_ca_system_score_codex":0.0026027483,"about_ca_system_score_gemma":0.0037635164,"threshold_uncertainty_score":0.03537798},"labels":[],"label_agreement":null},{"id":"W4387219717","doi":"10.1016/j.biosystems.2023.105044","title":"Macroevolution, differentiation trees, and the growth of coding systems","year":2023,"lang":"en","type":"article","venue":"Biosystems","topic":"Plant and Biological Electrophysiology Studies","field":"Agricultural and Biological Sciences","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":"Memorial University of Newfoundland","funders":"","keywords":"Multicellular organism; Macroevolution; Biology; Morphogenesis; Cellular differentiation; Evolutionary biology; Gene; Phylogenetics; Genetics","score_opus":0.016350012839550693,"score_gpt":0.18428708352841644,"score_spread":0.16793707068886574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387219717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99240327,0.0004425788,0.0047725313,0.00013065024,0.00000472236,0.000003572404,0.00009691293,0.000023402168,0.0021223938],"genre_scores_gemma":[0.9969625,0.00014954906,0.0020577975,0.00002240105,0.000009309159,0.000007705966,0.000107788066,0.000027433123,0.00065553485],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996772,0.000094843315,0.000018495868,0.00010195319,0.00005578891,0.000051850147],"domain_scores_gemma":[0.99574715,0.0026058606,0.0005345102,0.00028742032,0.00046317512,0.00036191058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093879516,0.00025986365,0.000246728,0.0010912518,0.00067484716,0.0010488135,0.0005848112,0.0005158534,0.0018344764],"category_scores_gemma":[0.0042801974,0.0002330454,0.00022818315,0.0006994655,0.0010187145,0.0011700022,0.0007776505,0.0008802037,0.0002812913],"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":[0.00090309256,0.00013719982,0.31076306,0.00021871655,0.00023061254,0.0008014913,0.004060976,0.029430991,0.473108,0.06460265,0.00064778986,0.11509541],"study_design_scores_gemma":[0.000058625053,0.0003249958,0.84303427,0.00005390429,0.00015118178,0.0014118495,0.0012473509,0.07899292,0.026789991,0.041208323,0.0066071227,0.00011952291],"about_ca_topic_score_codex":0.002295292,"about_ca_topic_score_gemma":0.0040348745,"teacher_disagreement_score":0.002295292,"about_ca_system_score_codex":0.00088355964,"about_ca_system_score_gemma":0.00035939642,"threshold_uncertainty_score":0.006410718},"labels":[],"label_agreement":null},{"id":"W4388915162","doi":"10.1016/j.biosystems.2023.105089","title":"Biological thermodynamics: Ervin Bauer and the unification of life sciences and physics","year":2023,"lang":"en","type":"article","venue":"Biosystems","topic":"Gene Regulatory Network Analysis","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":"Memorial University of Newfoundland","funders":"","keywords":"Living systems; Statistical physics; Thermodynamic equilibrium; Equilibrium thermodynamics; Attractor; Physics; Mathematics; Computer science; Thermodynamics; Ecology; Biology","score_opus":0.01986174592511619,"score_gpt":0.23889334161075548,"score_spread":0.2190315956856393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388915162","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":[0.018954707,0.24348058,0.09186764,0.5770753,0.022911929,0.000022607017,0.00047841965,0.00033968547,0.04486915],"genre_scores_gemma":[0.6804845,0.11118709,0.0433589,0.067549534,0.045074195,0.0001534089,0.00030303525,0.00087139045,0.05101796],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976828,0.0009108037,0.00009782943,0.00046962782,0.0007056971,0.00013312417],"domain_scores_gemma":[0.9931432,0.005342579,0.00021050718,0.00034083874,0.0007141239,0.0002486757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004262456,0.00070198637,0.001260053,0.0017101176,0.0015286752,0.0031854012,0.0011958674,0.003976028,0.0031539446],"category_scores_gemma":[0.014768636,0.00064643705,0.0006518352,0.0021482387,0.012693656,0.010943282,0.0021832108,0.0071810074,0.0010175359],"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":[0.00004069291,0.000022169848,0.00026555872,0.00014349555,0.00002672825,0.000042503132,0.00025414934,0.0024491413,0.00021293643,0.9489003,0.03774574,0.009896635],"study_design_scores_gemma":[0.0000096418125,0.0000038260205,0.00010179129,0.000042651845,0.000005326066,0.0000305329,0.0000481234,0.0020439732,0.00013440692,0.9626238,0.034931526,0.000024396359],"about_ca_topic_score_codex":0.00678997,"about_ca_topic_score_gemma":0.0037877671,"teacher_disagreement_score":0.00678997,"about_ca_system_score_codex":0.0035969778,"about_ca_system_score_gemma":0.0019314068,"threshold_uncertainty_score":0.026098013},"labels":[],"label_agreement":null},{"id":"W4391233758","doi":"10.1016/j.biosystems.2024.105129","title":"2022 IEEE conference on computational intelligence in bioinformatics and computational biology (IEEE CIBCB, 2022)","year":2024,"lang":"en","type":"editorial","venue":"Biosystems","topic":"Machine Learning in Bioinformatics","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":"Brock University; Thompson Rivers University","funders":"","keywords":"Computer science; Computational intelligence; Computational biology; Biology; Bioinformatics; Artificial intelligence","score_opus":0.012247990912356472,"score_gpt":0.2944983689390053,"score_spread":0.2822503780266488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391233758","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000028873286,0.00625718,0.00024990473,0.026569858,0.96095175,0.000023790799,0.000107964195,0.00006889245,0.0057417774],"genre_scores_gemma":[0.00082224986,0.0068838717,0.00044303274,0.025773942,0.9123538,0.00005678238,0.00019555846,0.00013899637,0.053331763],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9943499,0.0006838424,0.0003777282,0.00054019183,0.0036621199,0.0003861455],"domain_scores_gemma":[0.9799191,0.0046171215,0.0009606801,0.00053147075,0.010600286,0.0033713477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007536166,0.0027042287,0.0027679668,0.0048618703,0.0033190867,0.010299338,0.0027250254,0.011957103,0.03337574],"category_scores_gemma":[0.022370595,0.00096957036,0.0017773253,0.0020028758,0.0020646998,0.0037956005,0.0022365246,0.015619347,0.029110186],"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":[0.000014758722,0.000004318387,0.000007864093,0.00005717167,0.0000054859656,0.000019535022,0.0000025513666,0.000012769029,0.00002598971,0.00025509068,0.9951747,0.0044197384],"study_design_scores_gemma":[0.000024543397,0.0000101541655,0.000120211975,0.00015091713,0.00001736119,0.000056728793,0.000008456173,0.00010155449,0.00006369139,0.0012408755,0.9981962,0.000009396667],"about_ca_topic_score_codex":0.004003097,"about_ca_topic_score_gemma":0.012979327,"teacher_disagreement_score":0.03337574,"about_ca_system_score_codex":0.003767557,"about_ca_system_score_gemma":0.0050845337,"threshold_uncertainty_score":0.11165297},"labels":[],"label_agreement":null},{"id":"W4392857346","doi":"10.1016/j.biosystems.2024.105190","title":"Unraveling power-law scaling through exponential cell division dynamics","year":2024,"lang":"en","type":"article","venue":"Biosystems","topic":"Physiological and biochemical adaptations","field":"Environmental Science","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":"National Natural Science Foundation of China-Yunnan Joint Fund","keywords":"Allometry; Scaling; Exponent; Power law; Exponential function; Exponential growth; Mathematics; Statistical physics; Logarithm; Physics; Mathematical analysis; Biology; Statistics; Ecology; Geometry","score_opus":0.013102464293398794,"score_gpt":0.22590175516015415,"score_spread":0.21279929086675536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392857346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5644898,0.0017879402,0.4100563,0.003126811,0.00038467784,0.00003492237,0.00016117308,0.001068301,0.018890157],"genre_scores_gemma":[0.9808241,0.0007688974,0.015879162,0.00018832923,0.000094817166,0.00002314571,0.000041755397,0.00015200861,0.0020277998],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986017,0.00003099818,0.0000056966796,0.00004125799,0.000042266256,0.000019466197],"domain_scores_gemma":[0.99838996,0.00096314785,0.00015647312,0.00022579302,0.00013769622,0.00012689501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005449688,0.00030453084,0.00041089635,0.00041657907,0.0003505121,0.0009837816,0.001102918,0.00066687487,0.0033713728],"category_scores_gemma":[0.0064818575,0.00032110084,0.00027584002,0.0002669623,0.0014378375,0.003039054,0.00094698864,0.0012965433,0.00048679265],"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":[0.00013023638,0.0001610189,0.0065057953,0.000299069,0.00004597966,0.00040363226,0.000961248,0.15596795,0.08073898,0.6843977,0.004024417,0.066363946],"study_design_scores_gemma":[0.000009728081,0.000024397128,0.0013370563,0.000017225379,0.0000067235,0.00007998122,0.00008652008,0.68005544,0.003164888,0.31245396,0.002739665,0.000024413792],"about_ca_topic_score_codex":0.00091899524,"about_ca_topic_score_gemma":0.00072744495,"teacher_disagreement_score":0.0033713728,"about_ca_system_score_codex":0.0005938615,"about_ca_system_score_gemma":0.00041564746,"threshold_uncertainty_score":0.011278391},"labels":[],"label_agreement":null},{"id":"W4393307053","doi":"10.1016/j.biosystems.2024.105197","title":"The sensual cell: Feeling and affect in unicellular species","year":2024,"lang":"en","type":"article","venue":"Biosystems","topic":"Plant and Biological Electrophysiology Studies","field":"Agricultural and Biological Sciences","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":"University of British Columbia","funders":"","keywords":"Feeling; Sentience; Affect (linguistics); Consciousness; Valence (chemistry); Psychology; Experiential learning; Cognitive science; Cognition; Cognitive psychology; Prokaryote; Proposition; Element (criminal law); Social psychology; Aesthetics; Epistemology; Communication; Neuroscience; Biology; Philosophy; Paleontology; Chemistry","score_opus":0.015935125632031085,"score_gpt":0.19501709160668237,"score_spread":0.17908196597465129,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393307053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.984335,0.001202468,0.0035468172,0.00013326814,0.000030136518,0.00000600888,0.000028250493,0.00001709358,0.0107009355],"genre_scores_gemma":[0.99830556,0.0001934116,0.0007170196,0.000034846853,0.000008185685,0.0000040619034,0.000008358445,0.000006824046,0.0007217765],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999913,0.000030345396,0.0000037773902,0.000018980538,0.000020016532,0.000013821191],"domain_scores_gemma":[0.9997315,0.00010704469,0.000033577493,0.000025854444,0.000027302709,0.00007476125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016214844,0.00013383591,0.00014183391,0.00032725092,0.00067670684,0.0009015369,0.00023369736,0.0003581465,0.0012259106],"category_scores_gemma":[0.0007481064,0.00010748354,0.00010462386,0.00032843486,0.0014665772,0.001029338,0.00085874595,0.00039547883,0.00009182124],"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":[0.00038175844,0.00007179831,0.026936812,0.00040810843,0.000045136636,0.0009473957,0.017886547,0.00089783035,0.82547605,0.031034354,0.00047225266,0.095441915],"study_design_scores_gemma":[0.000025791476,0.0010039462,0.8675694,0.00011296572,0.00009175547,0.0028634826,0.017873198,0.005272768,0.07370591,0.0195502,0.011823519,0.00010697073],"about_ca_topic_score_codex":0.00074006116,"about_ca_topic_score_gemma":0.00083501113,"teacher_disagreement_score":0.0012259106,"about_ca_system_score_codex":0.00019769462,"about_ca_system_score_gemma":0.0001301699,"threshold_uncertainty_score":0.0041010976},"labels":[],"label_agreement":null},{"id":"W4394910302","doi":"10.1016/j.biosystems.2024.105201","title":"The emergence of theoretical biology: Two fundamental works of Ervin Bauer (1890–1938) in English translation","year":2024,"lang":"en","type":"article","venue":"Biosystems","topic":"Origins and Evolution of Life","field":"Physics and Astronomy","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":"Memorial University of Newfoundland","funders":"Magyar Tudományos Akadémia","keywords":"Translation (biology); Biology; Philosophy; Epistemology; Genetics","score_opus":0.013587694142384433,"score_gpt":0.2806557753655768,"score_spread":0.26706808122319237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394910302","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":[0.0056111515,0.40764114,0.01781805,0.34877202,0.088420056,0.00006119055,0.00073943235,0.00021591126,0.13072108],"genre_scores_gemma":[0.22428116,0.32538584,0.023002196,0.10717875,0.15809587,0.00040914016,0.0009979234,0.0015995619,0.15904953],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967784,0.0013914229,0.00021850763,0.00051386014,0.0008974119,0.00020037434],"domain_scores_gemma":[0.9921375,0.005574764,0.000404926,0.00022399434,0.0013601007,0.0002986903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003968067,0.0012369144,0.00091184967,0.002865356,0.0027587542,0.004529971,0.0008459621,0.0021773612,0.0052337423],"category_scores_gemma":[0.011580593,0.00047048947,0.000478261,0.002152018,0.014625054,0.006426151,0.0022342997,0.006672613,0.002717631],"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":[0.00006806151,0.000026623702,0.00014333299,0.0005655875,0.000015906337,0.0003345144,0.00569689,0.00022677459,0.0004785829,0.5553897,0.40316966,0.033884414],"study_design_scores_gemma":[0.0000133480835,0.000017564576,0.00032410273,0.0007096149,0.0000052486494,0.00031234446,0.00067377253,0.00015373582,0.00028060313,0.09668292,0.90079784,0.000028942964],"about_ca_topic_score_codex":0.0027369654,"about_ca_topic_score_gemma":0.0019627747,"teacher_disagreement_score":0.0053289337,"about_ca_system_score_codex":0.0053289337,"about_ca_system_score_gemma":0.0027616157,"threshold_uncertainty_score":0.03866434},"labels":[],"label_agreement":null},{"id":"W4399258835","doi":"10.1016/j.biosystems.2024.105245","title":"Aggregate Boid behavior to aid in artificial autopoietic organization","year":2024,"lang":"en","type":"article","venue":"Biosystems","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","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 Waterloo","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","keywords":"Autopoiesis; Aggregate (composite); Artificial intelligence; Computer science; Biology; Nanotechnology","score_opus":0.013678517298240274,"score_gpt":0.23208907580544524,"score_spread":0.21841055850720498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399258835","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":[0.2181608,0.00036797448,0.70504785,0.0011693246,0.00023894578,0.00028688565,0.00069372426,0.006988552,0.06704592],"genre_scores_gemma":[0.70432794,0.00018115195,0.28506637,0.00023587944,0.00001735623,0.00016477186,0.00037503222,0.0004692421,0.009162238],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998355,0.000054240685,0.000008469722,0.000041608168,0.000043414733,0.000016770162],"domain_scores_gemma":[0.9994615,0.00020520996,0.00005013921,0.00014383282,0.00008393575,0.00005548164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006513312,0.00034041423,0.00032942079,0.0003892495,0.0005360725,0.00091502856,0.00088939583,0.0005928294,0.00899271],"category_scores_gemma":[0.0021411558,0.00029566605,0.0002631746,0.00026305093,0.0006014076,0.0010377112,0.0015183446,0.0006721651,0.0012148278],"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":[0.0005098528,0.00036503238,0.027973153,0.0006260773,0.0001722376,0.00061816984,0.0045929067,0.26358336,0.106372185,0.23781681,0.020185638,0.33718458],"study_design_scores_gemma":[0.000034377197,0.00024467928,0.009633581,0.000093463044,0.000075842945,0.0002542123,0.00064216123,0.86695874,0.015595554,0.052006602,0.05439202,0.00006878682],"about_ca_topic_score_codex":0.0036910623,"about_ca_topic_score_gemma":0.007033512,"teacher_disagreement_score":0.00899271,"about_ca_system_score_codex":0.00047288983,"about_ca_system_score_gemma":0.00042816985,"threshold_uncertainty_score":0.030083597},"labels":[],"label_agreement":null},{"id":"W4399489854","doi":"10.1016/j.biosystems.2024.105247","title":"Thermodynamic model for memory","year":2024,"lang":"en","type":"article","venue":"Biosystems","topic":"Advanced Memory and Neural Computing","field":"Engineering","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":"Department of Biology, University of Dayton; Memorial University of Newfoundland; McGill University","keywords":"Computer science","score_opus":0.021681781368673474,"score_gpt":0.2454014862057184,"score_spread":0.22371970483704492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399489854","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":[0.09699296,0.017778793,0.55014,0.016631547,0.0023011237,0.00027576456,0.0016363226,0.001067793,0.31317574],"genre_scores_gemma":[0.8861899,0.005295149,0.029104937,0.0012749125,0.0009242392,0.0003681013,0.00048766192,0.00022712497,0.07612798],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99973506,0.00005648324,0.00001303775,0.000052644456,0.00008026227,0.00006262365],"domain_scores_gemma":[0.9996859,0.00011139236,0.000025933841,0.000040431492,0.000091502494,0.00004486007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044746773,0.00043017085,0.00073505787,0.0008805152,0.001473696,0.0014246134,0.0018143109,0.0015179117,0.014529631],"category_scores_gemma":[0.0010698375,0.00021854024,0.0009660945,0.0005880682,0.0017642019,0.0042307214,0.0010580895,0.0012083028,0.0019904627],"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":[0.000007828612,0.000012022575,0.00008940723,0.000044352193,0.0000069898642,0.000073210584,0.00006305245,0.009702463,0.00061441545,0.9842651,0.0025994508,0.0025217098],"study_design_scores_gemma":[0.00001027839,0.000024699575,0.00010662327,0.000018218805,0.000008020697,0.00011014171,0.000032248718,0.07291921,0.00030023482,0.9172676,0.009187217,0.000015458663],"about_ca_topic_score_codex":0.0024096165,"about_ca_topic_score_gemma":0.0011687273,"teacher_disagreement_score":0.014529631,"about_ca_system_score_codex":0.0011473611,"about_ca_system_score_gemma":0.0010234461,"threshold_uncertainty_score":0.048606396},"labels":[],"label_agreement":null},{"id":"W4399710527","doi":"10.1016/j.biosystems.2024.105258","title":"Biological thermodynamics: Bridging the gap between physics and life","year":2024,"lang":"en","type":"editorial","venue":"Biosystems","topic":"Mitochondrial Function and Pathology","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":"Memorial University of Newfoundland","funders":"","keywords":"Bridging (networking); Statistical physics; Physics; Thermodynamics; Computer science","score_opus":0.023350032383289,"score_gpt":0.26425836809914705,"score_spread":0.24090833571585804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399710527","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000016563588,0.009237434,0.00013398244,0.035613686,0.9542022,0.000006514888,0.000018894001,0.000022339884,0.00074843585],"genre_scores_gemma":[0.00025576795,0.0041884338,0.000083691026,0.013949502,0.9772938,0.000010435864,0.00000951825,0.00001991766,0.0041889013],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99367493,0.0014742764,0.00061952113,0.000647789,0.0032496173,0.00033383802],"domain_scores_gemma":[0.9711929,0.015634978,0.0010980545,0.00066456373,0.0077642305,0.0036453397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0101727545,0.004444384,0.00391806,0.004132926,0.003844952,0.010397951,0.0050812154,0.020792918,0.0096981255],"category_scores_gemma":[0.027205542,0.0016055584,0.002657708,0.0019263147,0.005644796,0.007832961,0.0029223438,0.033093102,0.0068241167],"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":[0.000024019158,0.000008607233,0.000013179036,0.00019077388,0.000017258544,0.000060475846,0.000014992181,0.00002626048,0.000045993693,0.00083056337,0.99562365,0.0031443306],"study_design_scores_gemma":[0.000053796375,0.000023009465,0.0002300386,0.0005134728,0.000059735885,0.00026778431,0.000063183565,0.00026764872,0.00011973667,0.00579538,0.9925764,0.000029797966],"about_ca_topic_score_codex":0.0028607708,"about_ca_topic_score_gemma":0.009550041,"teacher_disagreement_score":0.020792918,"about_ca_system_score_codex":0.0050375042,"about_ca_system_score_gemma":0.004432101,"threshold_uncertainty_score":0.05379933},"labels":[],"label_agreement":null},{"id":"W4399999494","doi":"10.1016/j.biosystems.2024.105259","title":"Quantum Brain Dynamics and Virtual Reality","year":2024,"lang":"en","type":"article","venue":"Biosystems","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","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":"Japan Science and Technology Agency; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Qualia; Computer science; Holography; Cognitive science; Neocortex; Quantum; Consciousness; Artificial intelligence; Theoretical computer science; Neuroscience; Psychology; Physics","score_opus":0.018149409493072536,"score_gpt":0.25701909749020024,"score_spread":0.2388696879971277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399999494","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":[0.19007084,0.014225615,0.64904726,0.01722802,0.0014917979,0.00005539843,0.00033239403,0.00037085018,0.12717788],"genre_scores_gemma":[0.9751115,0.0017529747,0.015576834,0.00023821625,0.00020670645,0.000028855644,0.000042584834,0.000034875793,0.007007513],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996768,0.00014157101,0.000010224639,0.000052941752,0.00008181821,0.000036616286],"domain_scores_gemma":[0.9991959,0.00048147363,0.00008494795,0.00007607752,0.00009282439,0.00006886187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005660194,0.00031738228,0.0005098124,0.00051264523,0.0006188036,0.0024749436,0.00079139275,0.0015101898,0.00464685],"category_scores_gemma":[0.0027550915,0.00033203812,0.00033865467,0.0004745348,0.0034172062,0.0038049875,0.0012897367,0.0014455203,0.00037087314],"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":[0.000020889089,0.000014166558,0.00014748496,0.000044172804,0.000013386661,0.000047220194,0.00012531053,0.025096325,0.0008696089,0.9680331,0.0006265604,0.004961845],"study_design_scores_gemma":[0.000007738136,0.000011157144,0.00021823296,0.000010598467,0.0000041540306,0.000036989815,0.00005396223,0.06398239,0.00025000784,0.9330902,0.002318575,0.000015960213],"about_ca_topic_score_codex":0.0024036623,"about_ca_topic_score_gemma":0.0014894982,"teacher_disagreement_score":0.00464685,"about_ca_system_score_codex":0.0008875816,"about_ca_system_score_gemma":0.0005618109,"threshold_uncertainty_score":0.015545249},"labels":[],"label_agreement":null},{"id":"W4400850038","doi":"10.1016/j.biosystems.2024.105272","title":"The Molecular Basis of Differentiation Wave Activity in Embryogenesis","year":2024,"lang":"en","type":"article","venue":"Biosystems","topic":"Genetics, Aging, and Longevity in Model Organisms","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 Manitoba; PROTO Manufacturing (Canada)","funders":"","keywords":"Basis (linear algebra); Embryogenesis; Biology; Computational biology; Cell biology; Mathematics; Embryo","score_opus":0.010112442031767623,"score_gpt":0.2255142438808943,"score_spread":0.2154018018491267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400850038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9254853,0.011831735,0.048487097,0.001224591,0.00017989261,0.000030327537,0.00036032483,0.0003595703,0.012040974],"genre_scores_gemma":[0.987496,0.0037730907,0.0041722585,0.00008788131,0.000053203625,0.000020852787,0.00020489526,0.000026755191,0.0041649872],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999207,0.000011715718,0.000005116369,0.00001745547,0.000026165906,0.000018768395],"domain_scores_gemma":[0.9998348,0.000060049344,0.000028842232,0.000020938773,0.000024352512,0.000031024396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001876163,0.0001931498,0.00023227677,0.00039449174,0.00035902316,0.00051299424,0.00046846562,0.00041167458,0.000750575],"category_scores_gemma":[0.00027203787,0.00018302927,0.00016024237,0.00018250142,0.0006372228,0.0005124217,0.00030519933,0.0005455636,0.0003062349],"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":[0.00014418436,0.000014182443,0.00071561115,0.00005246041,0.000004052819,0.00020527291,0.00006313719,0.00058297854,0.959534,0.031457897,0.00012070514,0.0071055065],"study_design_scores_gemma":[0.00006150827,0.000300557,0.029901806,0.000039441766,0.00003100334,0.00081580435,0.00017600825,0.0075148824,0.9192561,0.027987732,0.013881674,0.000033515666],"about_ca_topic_score_codex":0.0007309462,"about_ca_topic_score_gemma":0.0006276817,"teacher_disagreement_score":0.000750575,"about_ca_system_score_codex":0.00053973246,"about_ca_system_score_gemma":0.00038077973,"threshold_uncertainty_score":0.0039160848},"labels":[],"label_agreement":null},{"id":"W4401285541","doi":"10.1016/j.biosystems.2024.105281","title":"Robustness and evolvability: Revisited, redefined and applied","year":2024,"lang":"en","type":"article","venue":"Biosystems","topic":"Gene Regulatory Network Analysis","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":"École de Technologie Supérieure; Concordia University","funders":"Alliance de recherche numérique du Canada","keywords":"Evolvability; Robustness (evolution); Computer science; Theoretical computer science; Fitness landscape; Systems biology; Synthetic biology; Artificial intelligence; Computational biology; Biology; Genetics","score_opus":0.0071371355057214605,"score_gpt":0.2154015793917759,"score_spread":0.20826444388605445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401285541","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":[0.029691564,0.008883968,0.9337476,0.0021451903,0.0003892689,0.000049172286,0.00009543858,0.00022146857,0.024776485],"genre_scores_gemma":[0.80439365,0.0054479637,0.1822046,0.0007038496,0.00061577634,0.00026302726,0.000104325816,0.00024142567,0.0060253534],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9945147,0.002095309,0.0005347852,0.0012467983,0.0012776915,0.00033074917],"domain_scores_gemma":[0.99136317,0.004823351,0.0012871353,0.0016125828,0.00063397177,0.00027986115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004658905,0.0014867455,0.0011397912,0.0042207595,0.0007273742,0.0045920215,0.0023357535,0.0026275958,0.0021752093],"category_scores_gemma":[0.014312293,0.000626281,0.002262766,0.0025461246,0.012481592,0.008160242,0.004342194,0.0046190377,0.00048426894],"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":[0.000025014755,0.00001739646,0.0008330777,0.00017039746,0.00005104251,0.00016232884,0.00040648557,0.016606001,0.0026984047,0.9551881,0.0002648514,0.023576815],"study_design_scores_gemma":[0.0000074388845,0.00011207187,0.00092626637,0.0001898922,0.000043732343,0.00065485854,0.0001531784,0.083875254,0.0028421679,0.89881134,0.0122970315,0.000086813714],"about_ca_topic_score_codex":0.00077550777,"about_ca_topic_score_gemma":0.00035550367,"teacher_disagreement_score":0.004658905,"about_ca_system_score_codex":0.0024397227,"about_ca_system_score_gemma":0.00078787276,"threshold_uncertainty_score":0.02463895},"labels":[],"label_agreement":null},{"id":"W4402943316","doi":"10.1016/j.biosystems.2024.105348","title":"William Bateson, black slavery, eugenics and speciation: The relative roles of politics and science","year":2024,"lang":"en","type":"article","venue":"Biosystems","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Royal Society","keywords":"Eugenics; Genetic algorithm; Politics; Sociology; Epistemology; Evolutionary biology; Philosophy; Biology; Genetics; Political science; Law","score_opus":0.007697810254141648,"score_gpt":0.23918511514433208,"score_spread":0.23148730489019043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402943316","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":[0.000562615,0.33712587,0.00032606898,0.64096016,0.012008801,0.000006594298,0.000023955929,0.000015447431,0.0089705],"genre_scores_gemma":[0.034343794,0.41486225,0.0013213604,0.42041117,0.04566759,0.000059540347,0.0000599495,0.000077749064,0.08319661],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99844545,0.00070660166,0.000066578315,0.00025809012,0.00040708814,0.00011634087],"domain_scores_gemma":[0.9968888,0.0019832787,0.0002217684,0.00007798839,0.00041166978,0.00041655597],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0028761495,0.00072687917,0.00071032305,0.0012161615,0.0044433945,0.0052068383,0.0013155336,0.007690773,0.0052371295],"category_scores_gemma":[0.004765022,0.00052316644,0.0003129671,0.0011534035,0.009954049,0.00815793,0.002240945,0.012213401,0.0015345666],"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":[0.000036520065,0.000036142606,0.0005199736,0.00017268231,0.000013811785,0.00011364412,0.0018292931,0.00007359632,0.0001741351,0.100590475,0.8679048,0.028534796],"study_design_scores_gemma":[0.000021677452,0.000016402028,0.00094273844,0.00060456846,0.000008137949,0.00021228605,0.0012868705,0.0001094696,0.00013673409,0.091560125,0.9050726,0.00002832211],"about_ca_topic_score_codex":0.01805265,"about_ca_topic_score_gemma":0.034718473,"teacher_disagreement_score":0.9955566,"about_ca_system_score_codex":0.0032847668,"about_ca_system_score_gemma":0.0030871008,"threshold_uncertainty_score":0.03589511},"labels":[],"label_agreement":null},{"id":"W4402945110","doi":"10.1016/j.biosystems.2024.105346","title":"Reflexive neural circuits and the origin of language and music codes","year":2024,"lang":"en","type":"article","venue":"Biosystems","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Reflexivity; Computer science; Cognitive science; Linguistics; Communication; Psychology; Sociology; Philosophy","score_opus":0.06223104284787919,"score_gpt":0.3171843547200936,"score_spread":0.2549533118722144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402945110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5896509,0.010316059,0.27592045,0.0032811454,0.00026431834,0.000048602444,0.00010902602,0.0005061185,0.11990333],"genre_scores_gemma":[0.9749786,0.0014117737,0.017999146,0.00012605396,0.000040349827,0.00003108317,0.00003201296,0.000026244792,0.005354706],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99986553,0.00003139224,0.0000050603076,0.000039048708,0.0000368837,0.000022192831],"domain_scores_gemma":[0.999819,0.000066862005,0.000038840808,0.000027797134,0.000026717027,0.000020888838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018298723,0.000111577625,0.00012498698,0.00039971844,0.00032739667,0.0012097071,0.00050333125,0.00049850927,0.0013551972],"category_scores_gemma":[0.0010540335,0.00011709642,0.00015954989,0.00019102106,0.002443324,0.0011600737,0.00083825254,0.00053621555,0.00036233937],"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":[0.00010547589,0.00003162059,0.001586828,0.00010486047,0.00002193522,0.0006119319,0.0020032974,0.0061818054,0.09350479,0.8165562,0.0006200694,0.07867115],"study_design_scores_gemma":[0.000024086316,0.000108230444,0.0092944,0.000057945836,0.000018061628,0.00063090626,0.0008464198,0.01981743,0.024980944,0.9319076,0.012274062,0.000039992105],"about_ca_topic_score_codex":0.00054320996,"about_ca_topic_score_gemma":0.0004634099,"teacher_disagreement_score":0.0013551972,"about_ca_system_score_codex":0.0005156307,"about_ca_system_score_gemma":0.00029524072,"threshold_uncertainty_score":0.004533589},"labels":[],"label_agreement":null},{"id":"W4403936361","doi":"10.1016/j.biosystems.2024.105359","title":"Human-driven evolution of cultivated plants and the origin of early civilizations: The concept of Neolithic revolution in the works of Nikolai Vavilov","year":2024,"lang":"en","type":"article","venue":"Biosystems","topic":"Soil and Environmental Studies","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Ancient history; Biology; Geography; History; Philosophy","score_opus":0.023458581967071426,"score_gpt":0.2315821388668583,"score_spread":0.20812355689978687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403936361","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":[0.064283706,0.64611,0.0087129725,0.09257181,0.020173479,0.00003296955,0.00028626187,0.00011621541,0.16771264],"genre_scores_gemma":[0.6721249,0.24906614,0.0042746044,0.008682784,0.015614209,0.000056209516,0.00021221138,0.00020569588,0.04976316],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995147,0.00021410902,0.000024860006,0.00012365624,0.00008482551,0.000037744438],"domain_scores_gemma":[0.99912924,0.00062851835,0.00006812103,0.000050331342,0.00008162869,0.000042192645],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0010843477,0.00030581272,0.00035176054,0.0013543003,0.0014208102,0.0031578029,0.00032085602,0.0008460194,0.0010884617],"category_scores_gemma":[0.0015565775,0.00017279401,0.00017703154,0.0011002179,0.00636852,0.0017159864,0.0012332862,0.0015936573,0.00035225085],"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":[0.00017965706,0.000044663317,0.003006127,0.00073060446,0.000038730446,0.0005975647,0.01659976,0.0014224286,0.0014129477,0.7769888,0.095614865,0.103363864],"study_design_scores_gemma":[0.000007892244,0.00002537638,0.003123653,0.00057206897,0.000019173702,0.0004505943,0.0018612719,0.00026011764,0.00079606404,0.089828596,0.90302163,0.000033561508],"about_ca_topic_score_codex":0.0024657382,"about_ca_topic_score_gemma":0.0019574882,"teacher_disagreement_score":0.9985792,"about_ca_system_score_codex":0.0024322083,"about_ca_system_score_gemma":0.0011560763,"threshold_uncertainty_score":0.017647028},"labels":[],"label_agreement":null},{"id":"W4404447898","doi":"10.1016/j.biosystems.2024.105374","title":"Sensing, feeling and sentience in unicellular organisms and living cells","year":2024,"lang":"en","type":"article","venue":"Biosystems","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","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":"Sentience; Feeling; Biology; Communication; Zoology; Ecology; Psychology; Computer science; Artificial intelligence; Social psychology","score_opus":0.027345164577299477,"score_gpt":0.2730569580484093,"score_spread":0.24571179347110983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404447898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59375906,0.05719044,0.16052027,0.01653087,0.0014858223,0.000078438694,0.00045079543,0.00044962138,0.16953461],"genre_scores_gemma":[0.977237,0.004812959,0.011462188,0.0005166768,0.00020683369,0.000039741044,0.00006691969,0.000038189224,0.0056194975],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997391,0.000076557735,0.000013282088,0.000048966824,0.00008549141,0.000036701396],"domain_scores_gemma":[0.99966097,0.00014093953,0.000048972288,0.00004409993,0.00004279214,0.0000621911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032826018,0.0002040311,0.0003093545,0.00042217612,0.0007982221,0.0027916753,0.0006519908,0.0010937711,0.0023154852],"category_scores_gemma":[0.0013355026,0.0001907504,0.00033340015,0.00059994,0.004975492,0.0030528246,0.0010527516,0.0010070009,0.0003096791],"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":[0.00011035558,0.00004730897,0.002191233,0.0004906931,0.000043830158,0.0003332949,0.0055329236,0.0019321913,0.063355744,0.8604361,0.0016607163,0.063865714],"study_design_scores_gemma":[0.000018131659,0.00015072794,0.016451722,0.0001296195,0.0000306814,0.0005150048,0.0030836388,0.0044667856,0.008466408,0.945117,0.021470923,0.00009936973],"about_ca_topic_score_codex":0.0012587485,"about_ca_topic_score_gemma":0.0007691398,"teacher_disagreement_score":0.0027916753,"about_ca_system_score_codex":0.00042996503,"about_ca_system_score_gemma":0.00045898685,"threshold_uncertainty_score":0.0077461004},"labels":[],"label_agreement":null},{"id":"W4405862004","doi":"10.1016/j.biosystems.2024.105387","title":"Biological mechanisms contradict AI consciousness: The spaces between the notes","year":2024,"lang":"en","type":"article","venue":"Biosystems","topic":"Embodied and Extended Cognition","field":"Neuroscience","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":"Consciousness; Cognitive science; Epistemology; Artificial intelligence; Computer science; Philosophy; Psychology","score_opus":0.06304332552756377,"score_gpt":0.28949655331851787,"score_spread":0.22645322779095411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405862004","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":[0.026809886,0.0291264,0.051624693,0.6675419,0.008051784,0.00004666303,0.00053693226,0.00020392306,0.21605778],"genre_scores_gemma":[0.7378524,0.019855574,0.039193124,0.091749564,0.011825079,0.0002514555,0.00027977856,0.00025389896,0.09873899],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993906,0.00023342734,0.000025147168,0.00014642504,0.00014924581,0.000055139917],"domain_scores_gemma":[0.9955037,0.0033704343,0.00010424006,0.00048235452,0.00042638104,0.000112958616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019970092,0.00035637306,0.0003563982,0.0005832231,0.001707813,0.0043971017,0.0010483813,0.0035709841,0.012685937],"category_scores_gemma":[0.0047156694,0.00024846927,0.00053841446,0.00054259156,0.013337849,0.008983782,0.0015716411,0.0059014885,0.0018438295],"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":[0.00005228318,0.000014807408,0.00021458499,0.000058420297,0.000012299749,0.00013040533,0.0013953467,0.00022425264,0.00044213314,0.96303004,0.025192464,0.009232972],"study_design_scores_gemma":[0.000010187784,0.000008552278,0.00031678384,0.000043401826,0.0000046155797,0.00009830549,0.0007737131,0.00033019428,0.00037168647,0.9438553,0.05417332,0.000013954203],"about_ca_topic_score_codex":0.005253294,"about_ca_topic_score_gemma":0.004758446,"teacher_disagreement_score":0.012685937,"about_ca_system_score_codex":0.0017378655,"about_ca_system_score_gemma":0.0008854294,"threshold_uncertainty_score":0.042438626},"labels":[],"label_agreement":null},{"id":"W4407272483","doi":"10.1016/j.biosystems.2025.105413","title":"Thermodynamic for biological development: A hypothesis","year":2025,"lang":"en","type":"article","venue":"Biosystems","topic":"Advanced Thermodynamics and Statistical Mechanics","field":"Physics and Astronomy","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":"Department of Biology, University of Dayton; Memorial University of Newfoundland; McGill University","keywords":"Biology; Computer science; Computational biology","score_opus":0.0211472298885206,"score_gpt":0.2634618432402525,"score_spread":0.2423146133517319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407272483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3772629,0.015279944,0.20073469,0.10929676,0.0029294328,0.0002676285,0.001502339,0.0009290458,0.2917973],"genre_scores_gemma":[0.9726192,0.0032440599,0.009235581,0.0034384842,0.0016365135,0.0002115576,0.0002217257,0.000051518637,0.009341364],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995264,0.00009299414,0.000019569707,0.00015409142,0.00012936383,0.000077577344],"domain_scores_gemma":[0.9974802,0.0014111998,0.00026533037,0.00028383386,0.00029171814,0.00026784092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012653129,0.00042731932,0.00063066167,0.0013599874,0.0009438598,0.0018693169,0.0014076426,0.0019969284,0.017065398],"category_scores_gemma":[0.004776496,0.00024712188,0.0006555954,0.00076140603,0.006045834,0.0056569437,0.0018367313,0.0010672489,0.0015946219],"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":[0.00009381148,0.00008581928,0.0039689774,0.00012765444,0.0000339433,0.00025570497,0.000223665,0.0010541098,0.0016703176,0.9729953,0.0028422356,0.016648374],"study_design_scores_gemma":[0.000058006088,0.0001468892,0.004362206,0.000045207467,0.000023067068,0.0005417121,0.0002815579,0.0043857447,0.0011416284,0.9767181,0.012271842,0.000023921853],"about_ca_topic_score_codex":0.00064927014,"about_ca_topic_score_gemma":0.00036075784,"teacher_disagreement_score":0.017065398,"about_ca_system_score_codex":0.0008449274,"about_ca_system_score_gemma":0.0013744372,"threshold_uncertainty_score":0.057089448},"labels":[],"label_agreement":null},{"id":"W4407397580","doi":"10.1016/j.biosystems.2025.105424","title":"Ervin Bauer and the foundations of theoretical biology","year":2025,"lang":"en","type":"editorial","venue":"Biosystems","topic":"Origins and Evolution of Life","field":"Physics and Astronomy","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":"Memorial University of Newfoundland","funders":"","keywords":"Biology","score_opus":0.004720518934077,"score_gpt":0.2699258840757806,"score_spread":0.2652053651417036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407397580","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000026624377,0.025875898,0.00016282336,0.076659456,0.8951534,0.000008797615,0.000034799657,0.000021361626,0.0020568222],"genre_scores_gemma":[0.0008603406,0.012243361,0.0001475396,0.029855203,0.944612,0.000019530122,0.000019277939,0.000040613537,0.012202149],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9920792,0.002364202,0.0007441221,0.00065936404,0.0038275204,0.00032563193],"domain_scores_gemma":[0.96289796,0.02371504,0.0012927558,0.0007468512,0.0090636695,0.00228377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012307155,0.0030080471,0.002894219,0.0049931007,0.0034836063,0.010760959,0.003458631,0.018462619,0.009588545],"category_scores_gemma":[0.04422171,0.0012790643,0.0016573195,0.0019771135,0.0050205234,0.00763216,0.0020392635,0.0231601,0.005835018],"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":[0.000021551587,0.0000065604636,0.000011642321,0.0001828145,0.000014193485,0.00004570667,0.000028519185,0.000033476572,0.0000197482,0.0031481339,0.99316555,0.0033220523],"study_design_scores_gemma":[0.000041950923,0.00000832447,0.00009071542,0.00048116053,0.00002909019,0.000074956755,0.000062430554,0.00014825269,0.000046226225,0.009238992,0.9897559,0.000021942476],"about_ca_topic_score_codex":0.004715025,"about_ca_topic_score_gemma":0.011846833,"teacher_disagreement_score":0.018462619,"about_ca_system_score_codex":0.0055612633,"about_ca_system_score_gemma":0.0050118603,"threshold_uncertainty_score":0.0650872},"labels":[],"label_agreement":null},{"id":"W4407778147","doi":"10.1016/j.biosystems.2025.105415","title":"An algorithm for the transformation of the Petri net models of biological signaling networks into influence graphs","year":2025,"lang":"en","type":"article","venue":"Biosystems","topic":"Gene Regulatory Network Analysis","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":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Petri net; Transformation (genetics); Computer science; Stochastic Petri net; Algorithm; Theoretical computer science; Biology","score_opus":0.011015649460473516,"score_gpt":0.24457986872057794,"score_spread":0.23356421926010443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407778147","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":[0.0010462968,0.000025418782,0.9955332,0.000047549216,0.000018092454,0.00009045123,0.00012876926,0.0022034186,0.0009067419],"genre_scores_gemma":[0.019391026,0.000062770414,0.97816783,0.00002942815,0.000009664429,0.00028792256,0.00053842214,0.00038642294,0.0011265326],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99923134,0.00017049315,0.000069957176,0.00020973496,0.0002523494,0.00006625382],"domain_scores_gemma":[0.99847084,0.00097487145,0.000080754115,0.00013689867,0.00029260275,0.000044157456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010030111,0.0018927592,0.00080447947,0.001986785,0.0009676808,0.0014707498,0.0017238058,0.0012407185,0.010811333],"category_scores_gemma":[0.004325604,0.00076722767,0.0020167679,0.0013583442,0.0009021887,0.0014287465,0.0020218513,0.0016119267,0.00318651],"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":[0.00025330743,0.00026240808,0.0015546778,0.00069102726,0.00022321934,0.00077436375,0.0005222192,0.32580513,0.01680407,0.11542032,0.014719349,0.5229699],"study_design_scores_gemma":[0.0001204224,0.00008619236,0.00023374431,0.00007034158,0.000082755876,0.00034387465,0.00011035784,0.8634129,0.009755369,0.102356605,0.023376776,0.000050711016],"about_ca_topic_score_codex":0.0044959118,"about_ca_topic_score_gemma":0.004173252,"teacher_disagreement_score":0.010811333,"about_ca_system_score_codex":0.0013161954,"about_ca_system_score_gemma":0.002050682,"threshold_uncertainty_score":0.036167502},"labels":[],"label_agreement":null},{"id":"W4408252251","doi":"10.1016/j.biosystems.2025.105451","title":"Physical limits of natural computation as the biological constraints of morphogenesis, evolution, and consciousness: On the 100th anniversary of Efim Liberman (1925–2011)","year":2025,"lang":"en","type":"review","venue":"Biosystems","topic":"Origins and Evolution of Life","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Consciousness; Natural (archaeology); Computation; Morphogenesis; Cognitive science; Computer science; Artificial intelligence; Epistemology; Philosophy; Biology; Psychology; Algorithm; Paleontology","score_opus":0.02977327471253425,"score_gpt":0.29973901930243885,"score_spread":0.2699657445899046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408252251","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":[0.00012718757,0.9956275,0.00012847772,0.0016647094,0.0009524319,0.0000014019294,0.0000059947365,0.0000034506984,0.0014888222],"genre_scores_gemma":[0.0022832495,0.9914255,0.00012757925,0.0016243806,0.002627453,0.000006833525,0.00001819285,0.0000046383643,0.0018821672],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997036,0.00007920842,0.0000275996,0.00005210586,0.00010576872,0.00003157157],"domain_scores_gemma":[0.9994413,0.00035199051,0.000037238657,0.000014975677,0.00011882258,0.000035612455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008805072,0.0008055991,0.00073488127,0.0018458465,0.00051529246,0.0016436207,0.0006508935,0.0014841154,0.0016846916],"category_scores_gemma":[0.001592571,0.00030338558,0.00032675554,0.0017444205,0.0017042843,0.0035876008,0.0011362712,0.0032197898,0.0010874316],"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":[0.00011290685,0.0000729894,0.0002930626,0.0076121036,0.0000754373,0.0003026585,0.00070667197,0.0007972864,0.0011549912,0.15266065,0.18312524,0.653086],"study_design_scores_gemma":[0.0000043128357,0.000024318735,0.00037470853,0.0015352078,0.000018677716,0.000253158,0.00007040478,0.00006115782,0.00014642555,0.016737951,0.9807606,0.00001317444],"about_ca_topic_score_codex":0.0020904716,"about_ca_topic_score_gemma":0.0019606992,"teacher_disagreement_score":0.0020904716,"about_ca_system_score_codex":0.0018104359,"about_ca_system_score_gemma":0.0012824812,"threshold_uncertainty_score":0.013135672},"labels":[],"label_agreement":null},{"id":"W4409654642","doi":"10.1016/j.biosystems.2025.105466","title":"Book Review","year":2025,"lang":"en","type":"article","venue":"Biosystems","topic":"Developmental Biology and Gene Regulation","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 Winnipeg; University of Manitoba","funders":"","keywords":"Computer science","score_opus":0.003697432195235633,"score_gpt":0.24901799810039493,"score_spread":0.2453205659051593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409654642","genre_codex":"other","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":[0.0002860078,0.034046154,0.0018474694,0.017186545,0.036446538,0.00008240481,0.00066266535,0.0004474171,0.90899485],"genre_scores_gemma":[0.00050358096,0.0058984878,0.0003265272,0.0022594607,0.0028807928,0.000020587773,0.00019933404,0.0000945847,0.98781663],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99963427,0.000034200333,0.000008075632,0.00004779402,0.00024096822,0.00003468521],"domain_scores_gemma":[0.9992867,0.00013585694,0.000028590694,0.000050470986,0.00030814143,0.00019019742],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00048685068,0.00071953883,0.00061492395,0.0018649936,0.0011299519,0.0031514138,0.00094600924,0.0014509928,0.38098162],"category_scores_gemma":[0.0019329508,0.00029126173,0.00036800542,0.0017269406,0.00052805716,0.0017928274,0.0014264224,0.0020451215,0.32110268],"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":[0.0000038949147,0.0000056628805,0.000018696803,0.000034446875,8.8110613e-7,0.000018649256,0.000010434959,0.000028808605,0.000060258204,0.004172822,0.9523534,0.043291964],"study_design_scores_gemma":[0.0000011821475,0.0000020896082,0.000031338936,0.000025134761,5.8546607e-7,0.000026674308,0.000009519928,0.000010512818,0.000015794541,0.0009710481,0.99890506,0.00000107901],"about_ca_topic_score_codex":0.0024624553,"about_ca_topic_score_gemma":0.00746995,"teacher_disagreement_score":0.38098162,"about_ca_system_score_codex":0.001349183,"about_ca_system_score_gemma":0.0017674135,"threshold_uncertainty_score":0.8829546},"labels":[],"label_agreement":null},{"id":"W4410378925","doi":"10.1016/j.biosystems.2025.105483","title":"Is there a relationship between embryonic bioelectric currents and differentiation waves?","year":2025,"lang":"en","type":"article","venue":"Biosystems","topic":"Planarian Biology and Electrostimulation","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 Manitoba","funders":"","keywords":"Embryonic stem cell; Biology; Traveling wave; Neuroscience; Biological system; Mathematics; Mathematical analysis; Genetics","score_opus":0.019469735697761843,"score_gpt":0.275383397002743,"score_spread":0.25591366130498117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410378925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57648855,0.05756368,0.23706506,0.036687125,0.0034045663,0.00011437943,0.0006789592,0.00096658483,0.08703107],"genre_scores_gemma":[0.94707215,0.02050634,0.012591058,0.0036511433,0.0012166823,0.00010450489,0.00030898617,0.00008777555,0.014461328],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997464,0.000036812293,0.00002266852,0.00006319901,0.00009342855,0.00003750479],"domain_scores_gemma":[0.9980312,0.0011131149,0.00032669608,0.00017774443,0.00020890808,0.00014225005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005127955,0.00023673252,0.00038273112,0.0005251414,0.00042311833,0.0014821162,0.001071372,0.0012813635,0.0053008916],"category_scores_gemma":[0.0028392908,0.00028461806,0.00030428063,0.00053482974,0.0022172716,0.0047083166,0.000708684,0.001437118,0.0009643652],"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":[0.0006852881,0.00031581215,0.016134702,0.0011786997,0.00017022726,0.002163297,0.0008329669,0.0012910813,0.24761438,0.58282554,0.00359486,0.14319314],"study_design_scores_gemma":[0.00024364216,0.0017231131,0.15215135,0.000556411,0.0002708319,0.007132831,0.003634288,0.008978528,0.15086095,0.59714097,0.07705674,0.00025028922],"about_ca_topic_score_codex":0.00033801552,"about_ca_topic_score_gemma":0.00030174913,"teacher_disagreement_score":0.0053008916,"about_ca_system_score_codex":0.00028684587,"about_ca_system_score_gemma":0.00035893367,"threshold_uncertainty_score":0.017733216},"labels":[],"label_agreement":null},{"id":"W4410760368","doi":"10.1016/j.biosystems.2025.105504","title":"Mechanism and biological significance of erythrocyte homoaggregation (rouleaux formation): temperature-dependent entropic liberation of water from cells and macromolecules","year":2025,"lang":"en","type":"review","venue":"Biosystems","topic":"Erythrocyte Function and Pathophysiology","field":"Medicine","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":"Queen's University","funders":"","keywords":"Liberation; Macromolecule; Mechanism (biology); Chemistry; Biophysics; Biology; Biochemistry; Philosophy; Epistemology","score_opus":0.022020063886608765,"score_gpt":0.26094764470041554,"score_spread":0.23892758081380677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410760368","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":[0.0001021092,0.99901795,0.00018794731,0.00013156672,0.000120930046,0.0000027976012,0.000011683973,0.000003861809,0.00042127218],"genre_scores_gemma":[0.0006801217,0.99854904,0.00016962689,0.0000717975,0.00013256444,0.0000052420405,0.00001916921,8.0878743e-7,0.00037162242],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999892,0.00001590406,0.000014960755,0.000025827887,0.0000375363,0.000013634843],"domain_scores_gemma":[0.9998361,0.0000701998,0.00003290688,0.0000054875773,0.00004082599,0.000014412741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004086422,0.0010043958,0.0014493701,0.0014542,0.0002552156,0.0010937711,0.00087776635,0.001111078,0.001839882],"category_scores_gemma":[0.00040346404,0.00032127358,0.00036456887,0.0016402394,0.0006924259,0.0012896383,0.0007819355,0.0014387011,0.001446171],"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":[0.00011135035,0.00008706754,0.00020936373,0.021922177,0.00010273818,0.0002477352,0.00008443513,0.0006489541,0.008089563,0.008775771,0.018918054,0.9408028],"study_design_scores_gemma":[0.000020823765,0.00011887251,0.00094025274,0.002196351,0.00013899262,0.0011024689,0.000064660126,0.0002530352,0.00308923,0.0042671394,0.98776966,0.0000385991],"about_ca_topic_score_codex":0.0010239098,"about_ca_topic_score_gemma":0.0013101134,"teacher_disagreement_score":0.001839882,"about_ca_system_score_codex":0.00060486066,"about_ca_system_score_gemma":0.0008608412,"threshold_uncertainty_score":0.006155014},"labels":[],"label_agreement":null},{"id":"W4412791281","doi":"10.1016/j.biosystems.2025.105546","title":"The development of code systems during eukaryogenesis and the rise of multicellularity","year":2025,"lang":"en","type":"article","venue":"Biosystems","topic":"Origins and Evolution of Life","field":"Physics and Astronomy","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":"Memorial University of Newfoundland","funders":"","keywords":"Multicellular organism; Code (set theory); Computer science; Biology; Programming language; Genetics","score_opus":0.007831476781650642,"score_gpt":0.2304810409581546,"score_spread":0.22264956417650397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412791281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5677903,0.0295356,0.12984787,0.006462187,0.0006366925,0.00012924182,0.00037644475,0.0003516603,0.26486993],"genre_scores_gemma":[0.96874064,0.0030947838,0.02080849,0.00022917066,0.000090473586,0.00006380594,0.00010102312,0.000076593555,0.0067949775],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994068,0.00019177438,0.00003787138,0.00012272458,0.00015579167,0.00008495414],"domain_scores_gemma":[0.99889,0.00038443189,0.00018014875,0.00016154684,0.00024220013,0.00014174628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007423748,0.00016287722,0.00021280111,0.0010178249,0.0017257689,0.0023448886,0.00032048457,0.00062191894,0.0013814009],"category_scores_gemma":[0.0027398302,0.00020480077,0.00018380297,0.0006840266,0.007396454,0.0028474538,0.001850116,0.0012340583,0.00038969744],"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":[0.00006513046,0.000009178522,0.002137462,0.00011738082,0.0000066220655,0.00033978824,0.013587811,0.0010532876,0.014762637,0.92712015,0.0006931558,0.040107504],"study_design_scores_gemma":[0.000022251177,0.00012653341,0.021802243,0.00021112477,0.000015789707,0.0010941745,0.00436347,0.0034376378,0.01133511,0.7774622,0.18003838,0.000091123395],"about_ca_topic_score_codex":0.0020284168,"about_ca_topic_score_gemma":0.0015475854,"teacher_disagreement_score":0.0023448886,"about_ca_system_score_codex":0.0021856013,"about_ca_system_score_gemma":0.0010328646,"threshold_uncertainty_score":0.015857697},"labels":[],"label_agreement":null},{"id":"W4413116398","doi":"10.1016/j.biosystems.2025.105553","title":"A biogenic principle within the constructal law: The flow of information in biological systems","year":2025,"lang":"en","type":"article","venue":"Biosystems","topic":"Plant and Biological Electrophysiology Studies","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 British Columbia","funders":"National Science Foundation","keywords":"Constructal law; Living systems; Corollary; Multicellular organism; Information flow; Flow (mathematics); Computer science; Second law of thermodynamics; Mathematical economics; Artificial intelligence; Mathematics; Biology; Mechanics; Physics; Pure mathematics; Thermodynamics","score_opus":0.013389677007720372,"score_gpt":0.20492309122536143,"score_spread":0.19153341421764106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413116398","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":[0.022411827,0.006514581,0.8580595,0.022975883,0.0010300337,0.000058847818,0.00026138444,0.00027842622,0.08840953],"genre_scores_gemma":[0.80864584,0.0055327984,0.16386832,0.0035418265,0.0028051387,0.0003547179,0.00024391683,0.00030279884,0.014704578],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986572,0.0004380927,0.000078331315,0.0003115173,0.00043063264,0.00008417832],"domain_scores_gemma":[0.9961576,0.0024363324,0.00016004035,0.00067164516,0.0004382867,0.00013605342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025516392,0.000600802,0.0009888983,0.0017692021,0.0016420605,0.0055960356,0.0016207132,0.0029660491,0.0051017227],"category_scores_gemma":[0.0071478495,0.0004838982,0.0011245576,0.00130184,0.018755294,0.015394022,0.002697433,0.003710784,0.0008386484],"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":[0.0000046507835,0.0000024637661,0.000047379664,0.000021692776,0.000004292322,0.000016992062,0.00008449029,0.00061997614,0.00017484654,0.9965223,0.00032556412,0.002175319],"study_design_scores_gemma":[0.0000054705997,0.000007142374,0.00005304015,0.000014374484,0.000002744821,0.000033164622,0.000020139354,0.0018174482,0.00014407003,0.9948113,0.0030854659,0.0000056080653],"about_ca_topic_score_codex":0.0013077783,"about_ca_topic_score_gemma":0.0006610718,"teacher_disagreement_score":0.0055960356,"about_ca_system_score_codex":0.0017717623,"about_ca_system_score_gemma":0.0015127568,"threshold_uncertainty_score":0.017066896},"labels":[],"label_agreement":null},{"id":"W4415312960","doi":"10.1016/j.biosystems.2025.105620","title":"Spectral bounds for Sombor and Sombor energy indices: A graph-theoretic study of neurotransmitter molecular networks","year":2025,"lang":"en","type":"article","venue":"Biosystems","topic":"Computational Drug Discovery Methods","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":"Horizon College and Seminary","funders":"","keywords":"Graph; Graph theory; Branching (polymer chemistry); Neurochemical; Spectral graph theory; Characterization (materials science); Molecular graph; Sensitivity (control systems); Complexity index","score_opus":0.008991772352750935,"score_gpt":0.2675927548533145,"score_spread":0.25860098250056357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415312960","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":[0.29927272,0.0038015104,0.6445845,0.00281397,0.00017986742,0.000055005756,0.00036448202,0.00022966908,0.04869833],"genre_scores_gemma":[0.938531,0.0017888624,0.052257564,0.00031469646,0.00024490943,0.000071952236,0.00020884005,0.00016229106,0.00641989],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995253,0.00018388095,0.000016684891,0.00007178926,0.00012744572,0.00007488903],"domain_scores_gemma":[0.99307406,0.0051326775,0.00048854016,0.00037989495,0.00048492505,0.00043989142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017685278,0.00074358244,0.0008675308,0.003090328,0.0013394802,0.0023423822,0.0019373142,0.0012983531,0.0056258],"category_scores_gemma":[0.009805121,0.00043488186,0.00063091953,0.002133776,0.0025355455,0.0053194063,0.0016665404,0.0020475404,0.00053367275],"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":[0.00004705367,0.000035841873,0.00049331103,0.00006226236,0.000014566138,0.000034155633,0.00013334103,0.026820552,0.0011049317,0.9612975,0.0013920643,0.008564334],"study_design_scores_gemma":[0.0000049041555,0.000014283338,0.00029215208,0.000024877749,0.000008571559,0.000032070737,0.00007216307,0.14263983,0.00036136052,0.8555958,0.00094337936,0.000010628728],"about_ca_topic_score_codex":0.0009915436,"about_ca_topic_score_gemma":0.0014338706,"teacher_disagreement_score":0.0056258,"about_ca_system_score_codex":0.0013925623,"about_ca_system_score_gemma":0.0005502006,"threshold_uncertainty_score":0.018820226},"labels":[],"label_agreement":null},{"id":"W4415706476","doi":"10.1016/j.biosystems.2025.105634","title":"Homeostatic set-points are physical and foundational to organism autonomy","year":2025,"lang":"en","type":"article","venue":"Biosystems","topic":"Origins and Evolution of Life","field":"Physics and Astronomy","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":"Queen's University; Queen's University Belfast","keywords":"Allosteric regulation; Effector; Living systems; Organism; Topology (electrical circuits); Cybernetics; Allosteric enzyme","score_opus":0.009497482514034188,"score_gpt":0.26994025087762236,"score_spread":0.26044276836358815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415706476","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":[0.08526054,0.0037032757,0.7421486,0.006359111,0.0005915862,0.00018582071,0.0005687287,0.0015351056,0.1596473],"genre_scores_gemma":[0.91567546,0.0014660644,0.071151935,0.00078197557,0.00042810047,0.00036965552,0.00029851988,0.0002775448,0.009550687],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975101,0.0005852814,0.00018738805,0.0007479737,0.000707831,0.0002613951],"domain_scores_gemma":[0.9961098,0.0012254665,0.0004719634,0.0013722702,0.0005402391,0.00028014596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002017076,0.00056827575,0.000838917,0.0012593571,0.0019223235,0.0056709996,0.0013517502,0.0017396641,0.0040588537],"category_scores_gemma":[0.0054175807,0.00053878076,0.0010223527,0.00058042107,0.017085077,0.0069801337,0.0047809267,0.0030274594,0.0012998551],"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":[0.000018706745,0.000010618726,0.0004239694,0.00007436642,0.000026392567,0.00008983289,0.0005262898,0.0032687197,0.0018385567,0.9829306,0.0006791155,0.010112751],"study_design_scores_gemma":[0.0000120646655,0.000030675044,0.0006485032,0.000036636866,0.000011726542,0.0001272662,0.00012349906,0.002460732,0.0011625121,0.9783716,0.016979259,0.000035518373],"about_ca_topic_score_codex":0.00072688295,"about_ca_topic_score_gemma":0.00041489434,"teacher_disagreement_score":0.0056709996,"about_ca_system_score_codex":0.0014892805,"about_ca_system_score_gemma":0.0013511279,"threshold_uncertainty_score":0.013578236},"labels":[],"label_agreement":null},{"id":"W4417137793","doi":"10.1016/j.biosystems.2025.105668","title":"Anthropogenesis and the origin of human consciousness","year":2025,"lang":"en","type":"editorial","venue":"Biosystems","topic":"Origins and Evolution of Life","field":"Physics and Astronomy","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":"Memorial University of Newfoundland","funders":"","keywords":"Consciousness; Human language; Human development (humanity); Human evolution; Human culture; Social consciousness","score_opus":0.008762012119162896,"score_gpt":0.2806127795185061,"score_spread":0.2718507673993432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417137793","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000045834597,0.026821084,0.00011776604,0.06439144,0.9050059,0.0000111519,0.000043950422,0.00002120295,0.0035416847],"genre_scores_gemma":[0.0008115811,0.008971569,0.000082400904,0.015578626,0.96450615,0.000011998863,0.000015763608,0.000017744167,0.01000419],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99675995,0.0010976866,0.00027962762,0.00027720374,0.0013986096,0.00018697286],"domain_scores_gemma":[0.98216015,0.012510603,0.0005512138,0.00041236254,0.0033809666,0.0009847444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006383238,0.0027079298,0.0027046646,0.0033655586,0.0038327805,0.008188828,0.002948053,0.017070487,0.009760546],"category_scores_gemma":[0.01927615,0.0009559965,0.0015432179,0.0015659768,0.0051936065,0.0050138417,0.0018198113,0.020524926,0.004156238],"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":[0.000026386368,0.000009206985,0.00002334145,0.00027973638,0.000023052118,0.000095388314,0.000056883076,0.00003309459,0.000035863046,0.0030158332,0.99185526,0.0045460355],"study_design_scores_gemma":[0.000037138623,0.0000112376065,0.0002898728,0.0007093961,0.00004711411,0.00013802713,0.00013207507,0.00014853508,0.000067258334,0.009873141,0.98852533,0.000020774807],"about_ca_topic_score_codex":0.005789129,"about_ca_topic_score_gemma":0.018893301,"teacher_disagreement_score":0.017070487,"about_ca_system_score_codex":0.0040698554,"about_ca_system_score_gemma":0.0040382827,"threshold_uncertainty_score":0.033758223},"labels":[],"label_agreement":null}]}