{"meta":{"query_hash":"0dabd3b16e87","filters":{"venue":"Molecular BioSystems"},"cohort_total":123,"direct_labels_cover":0,"predictions_cover":123,"exported":123,"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/0dabd3b16e87","api":"https://metacan.xera.ac/api/v1/cohort?venue=Molecular+BioSystems"},"results":[{"id":"W1848460039","doi":"10.1039/c5mb00259a","title":"Progress and challenges in predicting protein methylation sites","year":2015,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"Cancer-related gene regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Methylation; DNA methylation; Computational biology; Data science; Biology; Protein expression; Computer science; Genetics; DNA","score_opus":0.06340135662885354,"score_gpt":0.3184550147876029,"score_spread":0.25505365815874936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1848460039","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":[0.0047811586,0.9643904,0.025290435,0.0019049882,0.00034382506,0.00002803355,0.00096830045,0.0003444677,0.0019483196],"genre_scores_gemma":[0.021985184,0.9364222,0.03532138,0.0008343732,0.0005843394,0.00005586429,0.0033848626,0.000090571084,0.0013211948],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99911624,0.00019301455,0.00009097159,0.00027961,0.00027112156,0.000049041104],"domain_scores_gemma":[0.9974177,0.0016648042,0.00021640775,0.00012816429,0.0005006215,0.00007230676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029538514,0.0013190863,0.0024970223,0.0020399748,0.0003087805,0.0019055406,0.0020145962,0.00123846,0.0014126498],"category_scores_gemma":[0.00511502,0.0005521768,0.0012653165,0.0023382083,0.00050542405,0.002367458,0.00097021356,0.0017949602,0.0019602],"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":[0.00016338892,0.000087770204,0.006482078,0.015514556,0.0003904335,0.00022705754,0.00014584788,0.010291341,0.008707493,0.007591091,0.024476683,0.92592233],"study_design_scores_gemma":[0.000060016253,0.0002949338,0.013470133,0.0059825536,0.0011421797,0.0027121839,0.000403015,0.051183745,0.021946797,0.039155077,0.8633536,0.00029565766],"about_ca_topic_score_codex":0.0025435875,"about_ca_topic_score_gemma":0.002171807,"teacher_disagreement_score":0.0029538514,"about_ca_system_score_codex":0.0006178036,"about_ca_system_score_gemma":0.0016116083,"threshold_uncertainty_score":0.015621662},"labels":[],"label_agreement":null},{"id":"W1895666910","doi":"10.1039/c5mb00406c","title":"Pleiotropic drug-resistance attenuated genomic library improves elucidation of drug mechanisms","year":2015,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"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":"Victoria University of Wellington; Victoria University; University of Victoria","keywords":"Saccharomyces cerevisiae; Drug; Drug resistance; Biology; Genome; Drug discovery; Computational biology; Mutant; Gene; Genetics; Drug action; Mechanism (biology); Bioinformatics; Pharmacology","score_opus":0.008288617733696395,"score_gpt":0.22341733304761313,"score_spread":0.21512871531391672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1895666910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95336837,0.0014362299,0.030598734,0.00018628732,0.00004105621,0.00023922959,0.008315049,0.0011598252,0.0046552205],"genre_scores_gemma":[0.93538433,0.0022938014,0.03128641,0.00014222875,0.000016685786,0.00019122752,0.021402374,0.00028552552,0.008997389],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99978215,0.00003547573,0.000026755793,0.000045655204,0.000082872975,0.000027243203],"domain_scores_gemma":[0.9998385,0.000038058453,0.000036103604,0.000032912445,0.000026095053,0.000028345126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019003061,0.0005227978,0.0004323472,0.00062440423,0.00009949426,0.00033819102,0.0002856753,0.0002319824,0.0019696879],"category_scores_gemma":[0.00021331424,0.00018632505,0.0003408658,0.0005274631,0.00015953711,0.00013647146,0.00031382433,0.0005982835,0.00082680694],"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":[0.000049899285,0.000029370332,0.00013804188,0.000025504542,0.0000038347494,0.000032526525,0.0000056746603,0.00007221378,0.99787986,0.00003380753,0.000026191661,0.0017032289],"study_design_scores_gemma":[0.000021482769,0.0004867856,0.005638718,0.000012275923,0.000048294027,0.00032491316,0.000022050603,0.0010959809,0.9854351,0.00005298945,0.0068530557,0.000008371509],"about_ca_topic_score_codex":0.0006314122,"about_ca_topic_score_gemma":0.0011521247,"teacher_disagreement_score":0.0019696879,"about_ca_system_score_codex":0.00019333922,"about_ca_system_score_gemma":0.00034412,"threshold_uncertainty_score":0.0065892935},"labels":[],"label_agreement":null},{"id":"W1919610996","doi":"10.1039/c5mb00492f","title":"Discovery of urinary metabolomic biomarkers for early detection of acute kidney injury","year":2015,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Population and Public Health; University of Ottawa","funders":"National Research Foundation of Korea; Royal Society of Chemistry; Royal Society","keywords":"Lipocalin; Acute kidney injury; Urinary system; Creatinine; Kidney; Internal medicine; Blood urea nitrogen; Endocrinology; Nephrotoxicity; Medicine; Cystatin C; Kidney disease; Osteopontin; Urine; Pharmacology; Urology","score_opus":0.0212618707006427,"score_gpt":0.31236271193045373,"score_spread":0.29110084122981106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1919610996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87670356,0.056898046,0.059321444,0.0010127878,0.00036265643,0.00031140787,0.0032607003,0.0006550022,0.0014744537],"genre_scores_gemma":[0.9410145,0.015256956,0.03961571,0.00079721503,0.0001431071,0.0001926295,0.0016564609,0.000034418725,0.0012889714],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997228,0.00005888803,0.000021880087,0.000074679934,0.00009137594,0.000030329411],"domain_scores_gemma":[0.999624,0.000046513564,0.00017921063,0.000016678583,0.0000874217,0.00004609445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043302387,0.0007589727,0.00081332825,0.0013494928,0.0001528406,0.00057182775,0.00021851524,0.0008250873,0.00039783513],"category_scores_gemma":[0.0005396871,0.00022900506,0.0004522469,0.0007946115,0.00020900523,0.00052420946,0.0003572469,0.00065542705,0.00014424088],"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":[0.0008823264,0.00016017914,0.02195009,0.00049372,0.00025176868,0.00018823367,0.000033737237,0.00038929543,0.94440305,0.00021367273,0.00041858657,0.03061541],"study_design_scores_gemma":[0.00007021971,0.0020104367,0.12198153,0.000103675426,0.0004950126,0.000879207,0.00012609172,0.0073029893,0.8597365,0.0010309253,0.006180472,0.000082893835],"about_ca_topic_score_codex":0.0004255944,"about_ca_topic_score_gemma":0.000908041,"teacher_disagreement_score":0.0013494928,"about_ca_system_score_codex":0.00028689182,"about_ca_system_score_gemma":0.00033306598,"threshold_uncertainty_score":0.00229007},"labels":[],"label_agreement":null},{"id":"W1960117778","doi":"10.1039/c5mb00278h","title":"RNAi therapeutics for brain cancer: current advancements in RNAi delivery strategies","year":2015,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"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":"Irish Research Council; Fonds de Recherche du Québec - Santé; Irish Cancer Society","keywords":"RNA interference; Gene silencing; Angiogenesis; Blood–brain barrier; Biology; Metastasis; Cancer; Cancer research; Central nervous system; Brain tumor; Medicine; Neuroscience; Gene; Pathology; RNA; Genetics","score_opus":0.08055800070982055,"score_gpt":0.413548992828223,"score_spread":0.33299099211840244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1960117778","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":[0.0004045487,0.9962786,0.0010334789,0.0002224464,0.00012696657,0.000011757789,0.000021617367,0.000025807001,0.0018748684],"genre_scores_gemma":[0.001495958,0.9964104,0.00088970445,0.00012656626,0.000078114834,0.000016521139,0.000033620847,0.000004451789,0.0009446242],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999845,0.00002042423,0.000019981586,0.000030196112,0.00006799757,0.000016316057],"domain_scores_gemma":[0.9998522,0.00007186323,0.000021263364,0.000005536257,0.000036021007,0.000013187043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044314138,0.000738024,0.0010279343,0.0017362186,0.0002724381,0.0007632694,0.00073024933,0.00086287456,0.0027786593],"category_scores_gemma":[0.00033809367,0.000276283,0.00046896285,0.0012783946,0.00038423308,0.0011754485,0.00050599064,0.0015536376,0.0019363704],"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":[0.0000614902,0.000111524714,0.00012644423,0.017962357,0.000064392276,0.00034207175,0.00011228574,0.00052386586,0.027429128,0.007296261,0.015191573,0.93077874],"study_design_scores_gemma":[0.00001362558,0.00017139052,0.00041387134,0.0014500255,0.000094854426,0.0015231016,0.00004409046,0.00021167277,0.00792893,0.0022592386,0.98586375,0.000025457417],"about_ca_topic_score_codex":0.00055450236,"about_ca_topic_score_gemma":0.0007542148,"teacher_disagreement_score":0.0027786593,"about_ca_system_score_codex":0.000523587,"about_ca_system_score_gemma":0.0006041814,"threshold_uncertainty_score":0.009295523},"labels":[],"label_agreement":null},{"id":"W1963944210","doi":"10.1039/c2mb05469h","title":"An upstream interacting context based framework for the computational inference of microRNA functions","year":2012,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; Biotechnology Research Institute","funders":"","keywords":"microRNA; Inference; In silico; Computational biology; Context (archaeology); Function (biology); Computer science; Biology; Bioinformatics; Artificial intelligence; Genetics; Gene","score_opus":0.016005965107537476,"score_gpt":0.29914163098613056,"score_spread":0.28313566587859307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963944210","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":[0.0055127274,0.00036410833,0.9888864,0.00010569452,0.000045868605,0.0000719511,0.0006237746,0.0029750422,0.0014143699],"genre_scores_gemma":[0.17055123,0.00060254283,0.8221758,0.00026942603,0.00009950508,0.00051571557,0.0032178566,0.0005595461,0.0020083745],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993837,0.00019869844,0.000041814263,0.00017068053,0.0001487086,0.00005640263],"domain_scores_gemma":[0.99951243,0.0002884384,0.00003003926,0.000046575973,0.00008745113,0.000035111214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094446476,0.0013065739,0.0011344802,0.001288782,0.00070739357,0.0009617777,0.0016573668,0.000992095,0.004308281],"category_scores_gemma":[0.0024612409,0.00055601285,0.0019208394,0.0008600328,0.00048781713,0.0011978374,0.0013781571,0.0015136827,0.0010330155],"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":[0.00047902917,0.00021004694,0.00328611,0.0005423232,0.0002961987,0.0006885762,0.00019736319,0.7489906,0.010222813,0.06668947,0.007682777,0.16071475],"study_design_scores_gemma":[0.000013081408,0.000015422855,0.000078695004,0.000009173582,0.000019752732,0.000031358406,0.000009151099,0.98540145,0.000763237,0.0117379315,0.0019122378,0.000008539123],"about_ca_topic_score_codex":0.0060807373,"about_ca_topic_score_gemma":0.010815158,"teacher_disagreement_score":0.0060807373,"about_ca_system_score_codex":0.0007602275,"about_ca_system_score_gemma":0.0016630881,"threshold_uncertainty_score":0.0144126415},"labels":[],"label_agreement":null},{"id":"W1967096978","doi":"10.1039/c3mb70387h","title":"Conditional protein splicing of α-sarcin in live cells","year":2014,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Toxin Mechanisms and Immunotoxins","field":"Immunology and Microbiology","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"RNA splicing; Protein splicing; Context (archaeology); Biology; Alternative splicing; SR protein; Exonic splicing enhancer; Cell biology; Computational biology; RNA; Messenger RNA; Biochemistry; Gene","score_opus":0.004565758219521848,"score_gpt":0.19414427431864126,"score_spread":0.1895785160991194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967096978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9001993,0.00049798103,0.09474239,0.0001827177,0.00008379703,0.000111954156,0.00062221254,0.00055845856,0.0030011947],"genre_scores_gemma":[0.9651761,0.00058179087,0.02823052,0.00006132358,0.000015825244,0.00008536969,0.0007998397,0.00017959865,0.0048695984],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99976367,0.000043147662,0.000024202862,0.000063275846,0.00007825091,0.000027464013],"domain_scores_gemma":[0.99974257,0.00007461328,0.000073906085,0.00005860112,0.000025296353,0.000025044166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028850825,0.00035351646,0.00020427247,0.00012496875,0.00016345209,0.00030844304,0.00029361964,0.00029067532,0.00082932523],"category_scores_gemma":[0.00016761135,0.00016366277,0.0002625866,0.00010292501,0.00039502047,0.0002516161,0.0002968948,0.0008032175,0.000652842],"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":[0.000009975365,0.0000035273533,0.00003110853,0.000007831046,0.0000010226421,0.000018198718,0.00001020042,0.000030039171,0.99937314,0.0001781806,0.000011180502,0.00032543324],"study_design_scores_gemma":[0.0000021648498,0.00003205443,0.00016922416,0.0000011642691,0.0000021523435,0.000069494774,0.0000054378656,0.0003334604,0.9985447,0.000031278523,0.0008077373,0.000001159615],"about_ca_topic_score_codex":0.0002443833,"about_ca_topic_score_gemma":0.0003570297,"teacher_disagreement_score":0.00082932523,"about_ca_system_score_codex":0.00026194696,"about_ca_system_score_gemma":0.00019979141,"threshold_uncertainty_score":0.0027744174},"labels":[],"label_agreement":null},{"id":"W1967721813","doi":"10.1039/c4mb00290c","title":"Proteome-wide analysis of human disease mutations in short linear motifs: neglected players in cancer?","year":2014,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Ubiquitin and proteasome pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":97,"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 Toronto","funders":"","keywords":"Proteome; Computational biology; Human proteome project; Disease; Biology; Genetics; Bioinformatics; Medicine; Proteomics; Gene; Internal medicine","score_opus":0.014118793702757187,"score_gpt":0.28135243497865536,"score_spread":0.26723364127589816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967721813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93903655,0.033718787,0.002930199,0.0019338023,0.00015033288,0.000030144898,0.020328268,0.0002399032,0.0016319671],"genre_scores_gemma":[0.96214354,0.00770339,0.0039997823,0.0010651943,0.00015057912,0.000039121387,0.02404526,0.00008597054,0.0007671743],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992924,0.00011262055,0.000064672175,0.00032771842,0.00012452554,0.00007810541],"domain_scores_gemma":[0.9989178,0.00024351198,0.00031555555,0.0000927186,0.00021602954,0.0002144314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011842884,0.0003960091,0.0010048508,0.0016913426,0.0003594485,0.0010431524,0.00041856838,0.00069048454,0.0012284671],"category_scores_gemma":[0.0016648204,0.000158281,0.00071386545,0.0025410773,0.0002528411,0.00043290854,0.000761787,0.00061271054,0.0005160327],"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":[0.0012864724,0.00009750865,0.8358171,0.0018230052,0.0024590602,0.0016056687,0.00047341912,0.0008728195,0.08412695,0.00079742156,0.014492152,0.056148443],"study_design_scores_gemma":[0.00002142279,0.00011012727,0.972275,0.00010008715,0.00058015424,0.0019007372,0.00029669638,0.0014893074,0.003477705,0.0007010581,0.019022217,0.0000255161],"about_ca_topic_score_codex":0.0014223766,"about_ca_topic_score_gemma":0.0023110316,"teacher_disagreement_score":0.0016913426,"about_ca_system_score_codex":0.00031975124,"about_ca_system_score_gemma":0.0003246955,"threshold_uncertainty_score":0.0062631965},"labels":[],"label_agreement":null},{"id":"W1970597486","doi":"10.1039/c0mb00298d","title":"The synthetic genetic interaction network reveals small molecules that target specific pathways in <i>Sacchromyces cerevisiae</i>","year":2011,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Division of Biological Infrastructure; National Center for Research Resources; National Institute of General Medical Sciences; National Human Genome Research Institute; Canadian Institutes of Health Research; University of Illinois at Chicago; Alfred P. Sloan Foundation; National Cancer Institute; National Institutes of Health; National Science Foundation","keywords":"Saccharomyces cerevisiae; Biology; Synthetic lethality; Gene; Computational biology; Drug discovery; Genetics; DNA damage; Chemical library; DNA repair; Genetic screen; Mutant; DNA; Biochemistry; Small molecule","score_opus":0.020638955142664693,"score_gpt":0.1999720230209866,"score_spread":0.1793330678783219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970597486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97633684,0.00061721087,0.015340528,0.00016455573,0.000011602286,0.00005513772,0.0027915207,0.0007657367,0.0039168717],"genre_scores_gemma":[0.97904223,0.0005490438,0.015052117,0.00006178946,0.0000039726524,0.000048250906,0.0041257613,0.00003276985,0.0010840734],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999312,0.000011121973,0.0000058539413,0.000023000408,0.000020618374,0.000008142972],"domain_scores_gemma":[0.9998696,0.00003560747,0.000049893708,0.000012355189,0.000010580498,0.000021879503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009528126,0.00027808,0.00021309571,0.00048797482,0.00014871266,0.0003058072,0.00013316429,0.00014191684,0.0012523076],"category_scores_gemma":[0.0001897035,0.00011759637,0.00031617426,0.00038141425,0.00015912387,0.00017341232,0.00014348928,0.00025686852,0.00017111882],"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":[0.00032973292,0.00007304231,0.0070008766,0.00020013812,0.000064341206,0.00025221583,0.000025155558,0.01338719,0.9597351,0.0020676847,0.00038285053,0.016481686],"study_design_scores_gemma":[0.00007587938,0.0012325975,0.07809444,0.000039739585,0.0003788441,0.0010225021,0.00010025281,0.13591835,0.757783,0.003909618,0.02139813,0.000046629626],"about_ca_topic_score_codex":0.0012379675,"about_ca_topic_score_gemma":0.0022337746,"teacher_disagreement_score":0.0012523076,"about_ca_system_score_codex":0.000508527,"about_ca_system_score_gemma":0.0002985391,"threshold_uncertainty_score":0.0041893125},"labels":[],"label_agreement":null},{"id":"W1972621583","doi":"10.1039/c2mb05354c","title":"Forced homodimerization of the c-Fos leucine zipper in designed bHLHZ-like hybrid proteins MaxbHLH-Fos and ArntbHLH-Fos","year":2012,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"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 Toronto","funders":"National Institute of General Medical Sciences; National Institutes of Health","keywords":"Leucine zipper; bZIP domain; Zipper; Basic helix-loop-helix; Transcription factor; Basic helix-loop-helix leucine zipper transcription factors; Chemistry; DNA; Coiled coil; DNA-binding protein; Cell biology; Biochemistry; Biophysics; Biology; Gene","score_opus":0.007472463826022768,"score_gpt":0.20790814406864072,"score_spread":0.20043568024261796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972621583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997598,0.00012972113,0.0017390402,0.000026435273,0.000009463716,0.000018335311,0.00011740044,0.00002776905,0.00033381276],"genre_scores_gemma":[0.9952884,0.00009455137,0.0027058723,0.000026849404,0.0000047850613,0.000029745443,0.00037185015,0.000029249226,0.0014488464],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998796,0.000021372165,0.000012574057,0.000029278806,0.000031032654,0.000026280366],"domain_scores_gemma":[0.9998498,0.000039623166,0.000042887743,0.000015399179,0.000012965478,0.000039300794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001535558,0.00029660764,0.00016215941,0.00011390984,0.00013870066,0.0002141265,0.00023735991,0.0002165201,0.0006547406],"category_scores_gemma":[0.00011327747,0.00014623147,0.00018055421,0.00015098117,0.00024300313,0.00016083187,0.00021775487,0.0005284476,0.00019784717],"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":[0.000055929246,0.00001505354,0.00005097576,0.0000101530795,0.000002551429,0.000011226716,0.000012280214,0.000059085676,0.99954116,0.000072509225,0.0000069775842,0.00016225003],"study_design_scores_gemma":[0.000011905741,0.00008477059,0.0010599239,0.0000017926227,0.0000058290507,0.000047630914,0.000016269061,0.0010920834,0.9968843,0.000022621696,0.0007687735,0.000004097363],"about_ca_topic_score_codex":0.00046631033,"about_ca_topic_score_gemma":0.00072134763,"teacher_disagreement_score":0.0006547406,"about_ca_system_score_codex":0.0004818054,"about_ca_system_score_gemma":0.00017525979,"threshold_uncertainty_score":0.0034956932},"labels":[],"label_agreement":null},{"id":"W1975456224","doi":"10.1039/b501686j","title":"Electrophoretic and mass spectrometric strategies for profiling bacterial lipopolysaccharides","year":2005,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","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":"Institute for Biological Sciences","funders":"","keywords":"Chemistry; Haemophilus influenzae; Chromatography; Capillary electrophoresis; Mass spectrometry; Tandem mass spectrometry; Lipopolysaccharide; Heptose; Strain (injury); Bacteria; Hexose; Biochemistry; Mutant; Biology; Enzyme","score_opus":0.009176023808118253,"score_gpt":0.26207776097418195,"score_spread":0.2529017371660637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975456224","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51954794,0.030611739,0.43197823,0.002030846,0.0005818707,0.0007283442,0.0016888737,0.0013408915,0.011491284],"genre_scores_gemma":[0.4950037,0.014473029,0.48065218,0.0008420259,0.00019523804,0.000451412,0.00110926,0.00010708864,0.007166051],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992889,0.00014381073,0.000025971822,0.000097258686,0.00038929845,0.00005471443],"domain_scores_gemma":[0.9995202,0.00010848021,0.00007677938,0.00004783599,0.00017910438,0.00006772927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000892972,0.0008507245,0.00039804247,0.0017174197,0.00048019696,0.000842727,0.0007431825,0.001004994,0.0009687514],"category_scores_gemma":[0.0012202779,0.0003203401,0.00030365124,0.0007548055,0.00064895995,0.0007234546,0.0004860844,0.0008956212,0.0005684854],"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":[0.000064330445,0.000027918977,0.00035405508,0.000090532056,0.000013210751,0.000056523022,0.000021081227,0.00012278647,0.9849926,0.00063612143,0.00012487097,0.01349589],"study_design_scores_gemma":[0.000023194894,0.00024634518,0.0027778412,0.0000267761,0.000036238744,0.0013743517,0.00008680224,0.005524681,0.9801357,0.0012978056,0.008428886,0.000041311137],"about_ca_topic_score_codex":0.00082149194,"about_ca_topic_score_gemma":0.0012457417,"teacher_disagreement_score":0.0017174197,"about_ca_system_score_codex":0.0006930735,"about_ca_system_score_gemma":0.00054384116,"threshold_uncertainty_score":0.0050286055},"labels":[],"label_agreement":null},{"id":"W1976200636","doi":"10.1039/b717542f","title":"Identification of pathways associated with invasive behavior by ovarian cancer cells using multidimensional protein identification technology (MudPIT)","year":2008,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Ontario Institute for Cancer Research; University of Toronto","funders":"","keywords":"Biology; Ovarian cancer; KEGG; Proteome; Western blot; Cell biology; Cell; Phenotype; Cancer cell; Metastasis; Cell adhesion; Extracellular matrix; Cell culture; Cancer research; Cancer; Gene expression; Gene; Transcriptome; Genetics","score_opus":0.013484925311642646,"score_gpt":0.2447419079938707,"score_spread":0.23125698268222805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976200636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878055,0.0020105476,0.0077537354,0.000094961426,0.000007963727,0.00004301251,0.0016032576,0.00008620492,0.00059481733],"genre_scores_gemma":[0.9613709,0.0025955376,0.027124079,0.00009894815,0.00001128445,0.00013769041,0.0073524066,0.000017689455,0.0012914555],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999144,0.000012633562,0.000006841356,0.000020525937,0.000027743426,0.000017831697],"domain_scores_gemma":[0.99991953,0.000017583363,0.000028399189,0.0000064990177,0.000014635652,0.000013352858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000117909076,0.00033534633,0.00026905068,0.00072299415,0.00028353604,0.00035769132,0.00012752404,0.00019426113,0.00044826858],"category_scores_gemma":[0.00015600139,0.000116423595,0.0002596623,0.00062904623,0.00013984609,0.00021800745,0.00026406383,0.00024976063,0.00021711942],"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":[0.00011152762,0.000017429938,0.003169128,0.00008778573,0.000013535552,0.00008625117,0.00003503811,0.00013553993,0.9918868,0.00004601765,0.00006165346,0.004349287],"study_design_scores_gemma":[0.00002677865,0.00037206267,0.23978303,0.00002508889,0.00010350278,0.0017819725,0.0001810263,0.00532204,0.7444811,0.00037147818,0.007526704,0.000025200587],"about_ca_topic_score_codex":0.0004074785,"about_ca_topic_score_gemma":0.0006657696,"teacher_disagreement_score":0.00072299415,"about_ca_system_score_codex":0.0001471642,"about_ca_system_score_gemma":0.0001630581,"threshold_uncertainty_score":0.0014995933},"labels":[],"label_agreement":null},{"id":"W1977150357","doi":"10.1039/b907925b","title":"Of proteins and DNA—proteomic role in the field of chromatin research","year":2009,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Chromatin; Computational biology; DNA; Biology; Proteomics; Field (mathematics); Cell biology; Evolutionary biology; Genetics; Gene","score_opus":0.017955173633224464,"score_gpt":0.3269788381197596,"score_spread":0.3090236644865351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977150357","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":[0.00006387005,0.99722207,0.00032658223,0.0008725157,0.00040273523,0.0000023163336,0.000005855243,0.0000063863868,0.0010978107],"genre_scores_gemma":[0.0006426036,0.99569243,0.0006874579,0.00072791014,0.00057318655,0.0000072737303,0.000014598529,0.0000032020516,0.0016513377],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996371,0.0000757087,0.00003938281,0.000072160896,0.00015145111,0.000024180441],"domain_scores_gemma":[0.9994861,0.00023214886,0.0000461937,0.000022944783,0.00014451201,0.00006806015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011321364,0.0009096863,0.0013472153,0.0024831009,0.0004824879,0.0016073035,0.0010599394,0.0020136589,0.0022798206],"category_scores_gemma":[0.0007970827,0.00033577497,0.00032250443,0.0033234356,0.0016074979,0.0038228256,0.0011301333,0.0027742526,0.0037633607],"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":[0.00006770855,0.00006546335,0.00020068421,0.0054532797,0.000049028382,0.000336095,0.00013892971,0.00025201344,0.0048107356,0.022802508,0.051674616,0.9141488],"study_design_scores_gemma":[0.0000072472694,0.000049542727,0.000442348,0.00092412473,0.00001448207,0.001244464,0.00008564168,0.000058961286,0.0007176963,0.0075545227,0.9888832,0.000017991766],"about_ca_topic_score_codex":0.00083355827,"about_ca_topic_score_gemma":0.0014078108,"teacher_disagreement_score":0.0024831009,"about_ca_system_score_codex":0.001124587,"about_ca_system_score_gemma":0.0010313243,"threshold_uncertainty_score":0.008159518},"labels":[],"label_agreement":null},{"id":"W1981768518","doi":"10.1039/c1mb05131h","title":"PNA-based artificial nucleases as antisense and anti-miRNA oligonucleotide agents","year":2011,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Casa","funders":"","keywords":"microRNA; Oligonucleotide; Computational biology; Biology; DNA; Genetics; Gene","score_opus":0.01892214212528821,"score_gpt":0.25913453807879566,"score_spread":0.24021239595350746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981768518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76246125,0.016715515,0.21333766,0.00033915447,0.00023009602,0.0003052053,0.0004300435,0.00073842885,0.005442523],"genre_scores_gemma":[0.8277393,0.0046633654,0.16172504,0.00019737863,0.00005526693,0.00023024416,0.00041997316,0.00006493184,0.0049045244],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995284,0.0001508631,0.000034938155,0.000111494795,0.00014466638,0.000029673405],"domain_scores_gemma":[0.99980265,0.000060450653,0.00005523951,0.000018466604,0.000030217905,0.000032972534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005295052,0.00039303402,0.0003787747,0.00023738641,0.00011192256,0.00036818522,0.00030807246,0.0005373524,0.00041160986],"category_scores_gemma":[0.00043094164,0.000252275,0.00025906586,0.00015679476,0.00035296349,0.00041315556,0.00025472842,0.00043856178,0.0003809059],"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":[0.000039940183,0.00001199344,0.000055514152,0.000060846465,0.0000045622746,0.000031524163,0.000011297998,0.00018157727,0.99693716,0.00033904714,0.00002078878,0.002305816],"study_design_scores_gemma":[0.000006704705,0.00011814266,0.00014551752,0.0000029699927,0.0000064674296,0.0001438407,0.0000033942522,0.00093736954,0.9957658,0.00009248916,0.002772141,0.000005222322],"about_ca_topic_score_codex":0.0001263221,"about_ca_topic_score_gemma":0.00019581392,"teacher_disagreement_score":0.0005373524,"about_ca_system_score_codex":0.00026166515,"about_ca_system_score_gemma":0.00020722863,"threshold_uncertainty_score":0.0028002858},"labels":[],"label_agreement":null},{"id":"W1982717186","doi":"10.1039/c3mb70135b","title":"High throughput strategies for probing the different organizational levels of protein interaction networks","year":2013,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Danish Agency for Science and Higher Education; Canadian Institutes of Health Research; Mokslo, Inovaciju ir Technologiju Agentura; Canada Research Chairs","keywords":"Protein–protein interaction; Protein Interaction Networks; Context (archaeology); Computer science; Computational biology; Systems biology; Interaction network; Throughput; Scale (ratio); Biology; Data science; Genetics; Gene; Telecommunications","score_opus":0.024609900786173772,"score_gpt":0.2709262275538411,"score_spread":0.24631632676766732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982717186","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":[0.00064942514,0.9790718,0.015228743,0.00059960195,0.00030048695,0.000048822403,0.00017413702,0.00013841334,0.003788591],"genre_scores_gemma":[0.0050616306,0.9793522,0.012014559,0.00044584612,0.00027687626,0.00014831881,0.0003239068,0.000028771456,0.002347939],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991196,0.00016660415,0.000050495473,0.0002063315,0.0003861848,0.00007080656],"domain_scores_gemma":[0.99891746,0.00055531855,0.00012607378,0.000084097854,0.0002468951,0.00007013517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018158488,0.0016934274,0.0026037956,0.0057131895,0.0005082725,0.0019356599,0.0025651897,0.0019464681,0.003146377],"category_scores_gemma":[0.0015759,0.0008931967,0.0009500888,0.003920914,0.0015565397,0.003290611,0.0014630612,0.0026727354,0.0034221723],"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":[0.000089718116,0.00017307562,0.00062521594,0.013848844,0.00024236235,0.00034580874,0.00012237405,0.002576017,0.040397942,0.036662307,0.026137803,0.87877846],"study_design_scores_gemma":[0.00003088671,0.00019344979,0.0018006783,0.0016622453,0.00023133175,0.002402163,0.0001148027,0.0021357485,0.03259414,0.017176295,0.9415089,0.00014928269],"about_ca_topic_score_codex":0.00131459,"about_ca_topic_score_gemma":0.0014654484,"teacher_disagreement_score":0.0057131895,"about_ca_system_score_codex":0.0016171586,"about_ca_system_score_gemma":0.0008698314,"threshold_uncertainty_score":0.011733413},"labels":[],"label_agreement":null},{"id":"W1984248949","doi":"10.1039/c3mb25600f","title":"Exploring the multifunctionality of thioflavin- and deferiprone-based molecules as acetylcholinesterase inhibitors for potential application in Alzheimer's disease","year":2013,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Cholinesterase and Neurodegenerative Diseases","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"Compute Canada","keywords":"Deferiprone; Acetylcholinesterase; Thioflavin; Disease; Chemistry; Pharmacology; Alzheimer's disease; Medicine; Biochemistry; Enzyme; Internal medicine","score_opus":0.04099823432556688,"score_gpt":0.280138095770606,"score_spread":0.23913986144503913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984248949","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98675853,0.005546487,0.0049221134,0.00008812852,0.000012512366,0.00004349866,0.000060904185,0.00003851027,0.0025292423],"genre_scores_gemma":[0.9934435,0.0021511342,0.003629331,0.000030718933,0.000006642377,0.000012299045,0.000039144288,0.0000027961064,0.00068444374],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999641,0.0000071019963,0.0000021749615,0.000008489201,0.000008801987,0.000009318434],"domain_scores_gemma":[0.9999628,0.0000075547787,0.000011227115,0.0000029429716,0.0000058455685,0.0000096563335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014752599,0.00034323178,0.00014503818,0.00014028107,0.00007357379,0.0002332706,0.00018920563,0.0002039924,0.00048582244],"category_scores_gemma":[0.00008657028,0.00008018826,0.00014460582,0.00008348816,0.00016824639,0.00018948005,0.00012035812,0.00016039771,0.0001168673],"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":[0.00015140275,0.000041532967,0.00013498777,0.00007936574,0.0000068256077,0.00013285392,0.000032125947,0.00069745036,0.993117,0.00041224321,0.00002455044,0.0051695616],"study_design_scores_gemma":[0.000067597364,0.0021666803,0.0014996188,0.000015699174,0.00004971158,0.00034331687,0.00003671863,0.002054561,0.98872733,0.00012267132,0.004902382,0.000013611325],"about_ca_topic_score_codex":0.00051046273,"about_ca_topic_score_gemma":0.00087562285,"teacher_disagreement_score":0.00051046273,"about_ca_system_score_codex":0.00014620498,"about_ca_system_score_gemma":0.00012715599,"threshold_uncertainty_score":0.0016251802},"labels":[],"label_agreement":null},{"id":"W1986076932","doi":"10.1039/b615197n","title":"Introduction to monitoring and manipulating signaling networks","year":2006,"lang":"en","type":"editorial","venue":"Molecular BioSystems","topic":"Gene Regulatory Network Analysis","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":"Université de Montréal","funders":"","keywords":"Computer science; Human–computer interaction","score_opus":0.004308852935897865,"score_gpt":0.22162621579130798,"score_spread":0.21731736285541012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986076932","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":[0.00005742981,0.034659702,0.0030032771,0.0261058,0.9331102,0.000027155413,0.00006903483,0.00015064752,0.0028167448],"genre_scores_gemma":[0.0012535936,0.03957118,0.002723142,0.049409177,0.8665567,0.00011335339,0.000105436535,0.00024227069,0.040025134],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99638355,0.0006595428,0.00036089693,0.00053145026,0.001889839,0.00017471486],"domain_scores_gemma":[0.9906515,0.0042214207,0.0005507001,0.00040436035,0.003165092,0.0010070116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003592389,0.0033897464,0.0028091683,0.0032199582,0.0017998436,0.004183058,0.0026608887,0.008036657,0.011548734],"category_scores_gemma":[0.009258141,0.0012623317,0.0020449413,0.00143768,0.0029075313,0.0047443146,0.002036081,0.021768607,0.0073362812],"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":[0.0000637097,0.000024721587,0.000016246508,0.00043137648,0.00003393388,0.00009038875,0.000014790891,0.00007170155,0.0014935845,0.0022206914,0.9721986,0.023340223],"study_design_scores_gemma":[0.000025628337,0.00003650032,0.000085862885,0.00009908757,0.000034243225,0.00018749564,0.000007538397,0.00011511648,0.0006533023,0.0020988295,0.99663997,0.000016403308],"about_ca_topic_score_codex":0.00063641014,"about_ca_topic_score_gemma":0.0016013522,"teacher_disagreement_score":0.011548734,"about_ca_system_score_codex":0.0017059305,"about_ca_system_score_gemma":0.0013568432,"threshold_uncertainty_score":0.03863436},"labels":[],"label_agreement":null},{"id":"W1987113119","doi":"10.1039/b900278m","title":"Domains in bacterial membranes and the action of antimicrobial agents","year":2009,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"Lipid Membrane Structure and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":177,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Membrane; Antimicrobial; Cationic polymerization; Antimicrobial peptides; Chemistry; Biological membrane; Biology; Biophysics; Biochemistry; Microbiology; Organic chemistry","score_opus":0.019524051787079066,"score_gpt":0.2977210965412482,"score_spread":0.2781970447541691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987113119","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":[0.0001287357,0.9985814,0.00015688807,0.00010965617,0.000112043635,0.0000021649826,0.000004349714,0.000004635981,0.00090011786],"genre_scores_gemma":[0.0010857161,0.9975648,0.00019058683,0.00012351216,0.000120973025,0.00000556391,0.000012273899,0.0000011198498,0.0008954349],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99977523,0.000039213035,0.000025043551,0.000038534323,0.00009864109,0.000023295275],"domain_scores_gemma":[0.9998505,0.000060478054,0.000028400123,0.000007374427,0.000038485327,0.000014775821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004758838,0.000864364,0.0013267606,0.0019246974,0.00038654677,0.0010651433,0.0010127915,0.0017633807,0.0014825424],"category_scores_gemma":[0.00042540114,0.00040150975,0.00035980798,0.0016754303,0.0011270328,0.0017050854,0.0009129194,0.001700555,0.002484255],"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":[0.00008262147,0.00007296543,0.0001862003,0.012573244,0.00005616462,0.00057331164,0.00016516802,0.00085469685,0.010883005,0.020920757,0.02206771,0.93156433],"study_design_scores_gemma":[0.000011094222,0.000049464226,0.00037376446,0.0012817319,0.000026831623,0.0015488516,0.000051466748,0.00008366531,0.0018724715,0.0041812873,0.9905031,0.000016362488],"about_ca_topic_score_codex":0.0011186214,"about_ca_topic_score_gemma":0.001113603,"teacher_disagreement_score":0.0019246974,"about_ca_system_score_codex":0.00094086863,"about_ca_system_score_gemma":0.00064188667,"threshold_uncertainty_score":0.0068265796},"labels":[],"label_agreement":null},{"id":"W1988350881","doi":"10.1039/c1mb05034f","title":"Characterization of non-8–17 sequences uncovers structurally diverse RNA-cleaving deoxyribozymes","year":2011,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research; Francis Crick Institute","keywords":"Deoxyribozyme; RNA; DNA; Sequence motif; Ribozyme; Biology; Structural motif; Computational biology; Chemistry; Biochemistry; Genetics; Gene","score_opus":0.010791902138417462,"score_gpt":0.23709249895402876,"score_spread":0.2263005968156113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988350881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99470586,0.00043174453,0.004348893,0.000008501335,0.000002119379,0.000011904698,0.00010195061,0.00001914757,0.00036979868],"genre_scores_gemma":[0.98904383,0.00026934396,0.009569525,0.00002410262,0.0000029253854,0.000022868484,0.0005499195,0.00001859246,0.00049885095],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99978656,0.000036289024,0.000019420078,0.00006360716,0.000062755535,0.000031378175],"domain_scores_gemma":[0.99960154,0.00011415217,0.00015999547,0.000028420984,0.00004473684,0.000051231054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002541724,0.00026200217,0.0002543227,0.0002932761,0.00007269216,0.00028878122,0.00022269286,0.00023782547,0.00041611688],"category_scores_gemma":[0.0005671164,0.00010737987,0.00021032542,0.00022456233,0.00017632735,0.00018834452,0.00017890544,0.0003155834,0.00028974036],"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":[0.000026864845,0.000009785328,0.0013493608,0.000022970216,0.0000043779723,0.00003851714,0.000014494666,0.00012649993,0.9960706,0.0000482435,0.000003944418,0.0022843394],"study_design_scores_gemma":[0.000003904571,0.00026038018,0.0093234405,0.0000067169617,0.00001915913,0.00048770124,0.000026645976,0.0017009886,0.98706937,0.00006478471,0.0010329027,0.0000039361366],"about_ca_topic_score_codex":0.00010775056,"about_ca_topic_score_gemma":0.0002340142,"teacher_disagreement_score":0.00041611688,"about_ca_system_score_codex":0.00011331776,"about_ca_system_score_gemma":0.00014986712,"threshold_uncertainty_score":0.0013920665},"labels":[],"label_agreement":null},{"id":"W1989065363","doi":"10.1039/c1mb05122a","title":"Small delay, big waves: a minimal delayed negative feedback model captures <i>Escherichia coli</i> single cell SOS kinetics","year":2011,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"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 Health Centre; McGill University; Christie (Canada)","funders":"","keywords":"SOS response; Escherichia coli; Biological system; Kinetics; Ordinary differential equation; Negative feedback; Noise (video); Biophysics; Positive feedback; Dynamics (music); Biology; Gene; Differential equation; Physics; Genetics; Computer science; Classical mechanics","score_opus":0.02280044562887158,"score_gpt":0.19917521494695994,"score_spread":0.17637476931808838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989065363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5245095,0.00063676713,0.44146004,0.0013278214,0.00015258715,0.00013220942,0.00068362843,0.00039927047,0.030698191],"genre_scores_gemma":[0.98546576,0.00019543525,0.00577309,0.000093116134,0.000025053552,0.000117316005,0.00010355254,0.00004298501,0.008183708],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982005,0.000035865807,0.000007355814,0.000049556114,0.000043101565,0.000043989116],"domain_scores_gemma":[0.99955064,0.00014699952,0.0001156592,0.000030111773,0.000083307474,0.000073275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036602508,0.0008442879,0.0008724482,0.00041850994,0.00040791323,0.0010909624,0.0012447751,0.0014259905,0.001774367],"category_scores_gemma":[0.0012987964,0.00036496442,0.00066114403,0.0002176959,0.00099502,0.0007641773,0.0007461766,0.000900125,0.00028370967],"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":[0.0001320392,0.00007639751,0.0014895436,0.000093487404,0.000040168918,0.00031432186,0.0001712179,0.9089639,0.02185335,0.06317919,0.0007652925,0.0029210695],"study_design_scores_gemma":[0.000020831556,0.000027238768,0.00023061543,0.0000037523896,0.00001095887,0.00002879323,0.0000158949,0.9918686,0.0004113314,0.007060787,0.00031038144,0.00001078971],"about_ca_topic_score_codex":0.0073304945,"about_ca_topic_score_gemma":0.0035582308,"teacher_disagreement_score":0.0073304945,"about_ca_system_score_codex":0.0012114801,"about_ca_system_score_gemma":0.0008854247,"threshold_uncertainty_score":0.01457566},"labels":[],"label_agreement":null},{"id":"W1989851220","doi":"10.1039/c2mb25016k","title":"Positional requirements for the stimulation of mRNA nuclear export by ALREX-promoting elements","year":2012,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"Canadian Institutes of Health Research; School for Social Care Research","keywords":"Nuclear export signal; Messenger RNA; Cytoplasm; Cell biology; ENCODE; Stimulation; Biology; Nuclear gene; Mitochondrion; Gene; Computational biology; Cell nucleus; Genetics; Mitochondrial DNA; Neuroscience","score_opus":0.01846529828121174,"score_gpt":0.29610349445996875,"score_spread":0.277638196178757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989851220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929991,0.00067536766,0.0028536373,0.00012244523,0.00001666808,0.000013515174,0.00016073676,0.000064944456,0.003093523],"genre_scores_gemma":[0.9961222,0.0002067833,0.0018013252,0.000035592624,0.000010748734,0.0000151438535,0.00033447164,0.000037210186,0.00143653],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99971384,0.00007298133,0.00003673107,0.00004699481,0.00007922509,0.000050199676],"domain_scores_gemma":[0.99934334,0.00032380354,0.00008819778,0.000065858934,0.000057980855,0.00012085158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024126777,0.00032342013,0.00019174459,0.00023782,0.00021373732,0.00058180577,0.0003047286,0.00032756932,0.00293088],"category_scores_gemma":[0.0006168084,0.00033299832,0.00014951912,0.0000942944,0.00034956154,0.00033823858,0.00050836167,0.0005565165,0.001062109],"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":[0.00012288128,0.000017514882,0.00024019554,0.000009640138,8.090515e-7,0.00006838526,0.000013869161,0.00005911837,0.99867505,0.00034304676,0.000014459503,0.00043499644],"study_design_scores_gemma":[0.000025521851,0.00020444301,0.0078020897,0.000006946996,0.0000063204698,0.00034514687,0.000086283835,0.0020637019,0.98778045,0.00025935646,0.0014098634,0.000009822159],"about_ca_topic_score_codex":0.0006140721,"about_ca_topic_score_gemma":0.0019985123,"teacher_disagreement_score":0.00293088,"about_ca_system_score_codex":0.00033749518,"about_ca_system_score_gemma":0.00019093492,"threshold_uncertainty_score":0.009804785},"labels":[],"label_agreement":null},{"id":"W1991553913","doi":"10.1039/c3mb70190e","title":"Dynamics of the intrinsically disordered protein CP12 in its association with GAPDH in the green alga <i>Chlamydomonas reinhardtii</i> : a fuzzy complex","year":2013,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"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":"Agence Nationale de la Recherche; University of Windsor; Centre National de la Recherche Scientifique; Aix-Marseille Université","keywords":"Chlamydomonas reinhardtii; Biology; Glyceraldehyde 3-phosphate dehydrogenase; Computational biology; Dynamics (music); Cell biology; Biochemistry; Gene; Messenger RNA; Physics","score_opus":0.004275165567612711,"score_gpt":0.1951292497338983,"score_spread":0.1908540841662856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991553913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988092,0.00014662246,0.0007426395,0.000037892296,0.000003815889,0.0000020325763,0.00005259856,0.000012112989,0.00019311813],"genre_scores_gemma":[0.9989772,0.0000911265,0.00047460792,0.000011498192,0.0000013711668,0.0000033624085,0.000096453674,0.000007844931,0.00033651548],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990857,0.000008071995,0.0000041004914,0.000032316722,0.000025011874,0.000021920749],"domain_scores_gemma":[0.9998677,0.000024792393,0.00003329002,0.000010708139,0.000030322875,0.000033327913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013444539,0.00017059977,0.00015953042,0.00014178846,0.00027886854,0.0003365913,0.00037977082,0.00019270353,0.00054712873],"category_scores_gemma":[0.00025169767,0.00016091824,0.00014748168,0.00016256906,0.00027803786,0.0002851667,0.00022975015,0.0004088715,0.00013507943],"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":[0.00016103638,0.000033242544,0.0033860912,0.00004570493,0.00003070969,0.00014126174,0.00024763308,0.00081199943,0.9929912,0.00033791538,0.0001501753,0.001663081],"study_design_scores_gemma":[0.000026845652,0.00029428545,0.10437758,0.000020664385,0.00006925245,0.00043281296,0.0007535269,0.049334466,0.84049356,0.0004014143,0.0037047262,0.000090899804],"about_ca_topic_score_codex":0.005887783,"about_ca_topic_score_gemma":0.003399254,"teacher_disagreement_score":0.005887783,"about_ca_system_score_codex":0.00060379197,"about_ca_system_score_gemma":0.00018760092,"threshold_uncertainty_score":0.011707008},"labels":[],"label_agreement":null},{"id":"W1991623589","doi":"10.1039/c1mb05075c","title":"Entropy and Mg2+ control ligand affinity and specificity in the malachite green binding RNA aptamer","year":2011,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"RNA and protein synthesis 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 Waterloo","funders":"National Center for Research Resources; University of California, San Francisco; National Institutes of Health; National Science Council","keywords":"Aptamer; Isothermal titration calorimetry; Riboswitch; Chemistry; Ligand (biochemistry); RNA; Titration; Metal ions in aqueous solution; Biophysics; Stereochemistry; Metal; Biochemistry; Biology; Non-coding RNA; Inorganic chemistry","score_opus":0.014605737967159341,"score_gpt":0.20579246608587937,"score_spread":0.19118672811872003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991623589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99541193,0.0002622453,0.0034817813,0.000060661383,0.0000072561293,0.000007481753,0.000023115328,0.000046990557,0.00069853826],"genre_scores_gemma":[0.9988445,0.000056237313,0.0007085269,0.000018667302,0.0000028801096,0.000004380587,0.000013647759,0.000011348279,0.00033979106],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99978834,0.000043133998,0.000011557593,0.000048406848,0.000071225084,0.00003727458],"domain_scores_gemma":[0.99968016,0.00018194546,0.000050620358,0.000015245065,0.000026252907,0.000045855013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031855304,0.00023856515,0.0003314227,0.00023620899,0.00019667072,0.00054611976,0.00029289717,0.0002683467,0.00070166605],"category_scores_gemma":[0.0008222508,0.0002484143,0.00011413458,0.0001493896,0.0005983636,0.00029571398,0.0003049402,0.00025251057,0.00023680703],"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":[0.000121875324,0.000008555799,0.0006647919,0.000011929228,0.0000029549135,0.0000267589,0.000023847184,0.00052319735,0.99690944,0.0003055075,0.000012420166,0.0013886394],"study_design_scores_gemma":[0.000023377794,0.00009137549,0.0038227297,0.0000020933996,0.0000064285755,0.00009747346,0.000016963713,0.012022795,0.9831436,0.00037860873,0.00038317358,0.000011456197],"about_ca_topic_score_codex":0.0005283746,"about_ca_topic_score_gemma":0.0008427343,"teacher_disagreement_score":0.00070166605,"about_ca_system_score_codex":0.00044458226,"about_ca_system_score_gemma":0.00021840443,"threshold_uncertainty_score":0.0032256246},"labels":[],"label_agreement":null},{"id":"W1994325676","doi":"10.1039/c4mb00220b","title":"Renal protein reactivity and stability of antibiotic amphenicols: structure and affinity","year":2014,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Protein purification and stability","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"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 Ottawa","funders":"Royal Society of Chemistry; Royal Society","keywords":"Reactivity (psychology); Antibiotics; Chemistry; Protein stability; Microbiology; Biochemistry; Biology; Medicine; Pathology","score_opus":0.007858789646993275,"score_gpt":0.2212132570944749,"score_spread":0.21335446744748163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994325676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99764293,0.0009545069,0.0011164548,0.000017986886,0.00000239682,0.0000035017529,0.000035820423,0.000008888475,0.00021746405],"genre_scores_gemma":[0.9986846,0.0003066955,0.00054807874,0.000010215366,0.0000026646571,0.0000041162953,0.0000731065,0.0000033684034,0.00036716094],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999007,0.000021806418,0.0000053553767,0.000024098841,0.00003065667,0.000017373577],"domain_scores_gemma":[0.99987626,0.000025312695,0.000045805788,0.000008942165,0.000026871343,0.000016865573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012129689,0.00013676692,0.00010671677,0.000097426324,0.00007057955,0.00014385176,0.00015778282,0.0002607176,0.000423582],"category_scores_gemma":[0.00025131638,0.0000482376,0.00009910424,0.00008543916,0.00012813238,0.00018943705,0.0001492949,0.00018755137,0.000117552074],"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":[0.00008565102,0.000011477075,0.00074903405,0.000023137238,0.0000042945467,0.000026565202,0.00001571743,0.00010501202,0.99745256,0.000049538594,0.000010143911,0.001466958],"study_design_scores_gemma":[0.0000027862384,0.00017270722,0.0058164448,0.0000025723707,0.000009047079,0.00020447523,0.000020119198,0.0015573415,0.9914056,0.00004095316,0.00076257915,0.0000051683583],"about_ca_topic_score_codex":0.00028143346,"about_ca_topic_score_gemma":0.00018651507,"teacher_disagreement_score":0.000423582,"about_ca_system_score_codex":0.00015992657,"about_ca_system_score_gemma":0.000076712844,"threshold_uncertainty_score":0.0014170408},"labels":[],"label_agreement":null},{"id":"W1995318935","doi":"10.1039/b813787k","title":"Systems biology evaluation of immune responses induced by human host defence peptide LL-37 in mononuclear cells","year":2009,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Child and Family Research Institute; University of British Columbia","funders":"","keywords":"Transcription factor; Biology; CD14; Peripheral blood mononuclear cell; Cell biology; Immune system; Molecular biology; Gene; Immunology; Genetics","score_opus":0.019339890807170357,"score_gpt":0.2696138224028816,"score_spread":0.25027393159571126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995318935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9581337,0.0012263658,0.037621252,0.00009697725,0.00002804146,0.00007405168,0.0009569569,0.0003559755,0.001506604],"genre_scores_gemma":[0.981073,0.0007671063,0.016329778,0.000025413901,0.000007085381,0.000109324945,0.0011759526,0.000016364722,0.00049588864],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99984014,0.000040869243,0.000009212218,0.00004146192,0.000047948146,0.000020441179],"domain_scores_gemma":[0.99992716,0.000035883746,0.000010937571,0.0000068246177,0.0000125962115,0.0000064988935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034673573,0.00026380213,0.00041716325,0.00022296821,0.0001866161,0.00050054456,0.0002131778,0.00017084199,0.0009129446],"category_scores_gemma":[0.00026734895,0.00008991439,0.0004196537,0.0002987119,0.00018832082,0.00016213344,0.00021994625,0.00023044915,0.00019024726],"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":[0.00044787733,0.00008355612,0.0033424443,0.0003556685,0.00006329213,0.00014034382,0.00007752658,0.02967215,0.95534563,0.000942231,0.00013067915,0.009398572],"study_design_scores_gemma":[0.000043398817,0.0013536894,0.021059621,0.000023836625,0.00012788495,0.00024719659,0.00016320958,0.28855836,0.682842,0.0017122366,0.0038292326,0.0000392067],"about_ca_topic_score_codex":0.0008518554,"about_ca_topic_score_gemma":0.0006106162,"teacher_disagreement_score":0.0009129446,"about_ca_system_score_codex":0.0005239612,"about_ca_system_score_gemma":0.00031617182,"threshold_uncertainty_score":0.0038015842},"labels":[],"label_agreement":null},{"id":"W1999971214","doi":"10.1039/b915986j","title":"An integrated global strategy for cell lysis, fractionation, enrichment and mass spectrometric analysis of phosphorylated peptides","year":2010,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Phosphoproteomics; Phosphopeptide; Fractionation; Phosphorylation; Chemistry; Phosphatase; Lysis; Fragmentation (computing); Chromatography; Protein phosphorylation; Biochemistry; Computational biology; Biology; Protein kinase A","score_opus":0.006126744908198627,"score_gpt":0.27387864855476074,"score_spread":0.2677519036465621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999971214","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":[0.07125827,0.005503834,0.9155946,0.00037811443,0.000327728,0.0008616365,0.00210331,0.0021511586,0.0018213763],"genre_scores_gemma":[0.11857365,0.006760122,0.86202294,0.00046438933,0.00011883792,0.0014481924,0.005238407,0.00034096243,0.005032428],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994672,0.00005494823,0.000052541585,0.00020492129,0.00016047746,0.000059954382],"domain_scores_gemma":[0.9998084,0.00002773641,0.000025972513,0.000053239408,0.00004907096,0.000035628625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087189145,0.0015312786,0.002078633,0.0010159323,0.00042480786,0.0009524634,0.0010516475,0.0007640509,0.00079701736],"category_scores_gemma":[0.00033635553,0.00055532693,0.0007881802,0.00074069545,0.00047426712,0.0009282712,0.0011625356,0.0021777984,0.0011527039],"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":[0.000024588104,0.000018946763,0.00005968676,0.00007717709,0.00001217759,0.000014083772,0.0000067677543,0.000074126394,0.9926686,0.00012614965,0.00013120881,0.0067864046],"study_design_scores_gemma":[0.000015897906,0.00017342134,0.0013314224,0.000012418338,0.00006269068,0.00036717817,0.000013972795,0.0016389401,0.98722667,0.0002557147,0.008882226,0.0000193361],"about_ca_topic_score_codex":0.00036172246,"about_ca_topic_score_gemma":0.0010392482,"teacher_disagreement_score":0.002078633,"about_ca_system_score_codex":0.00041681444,"about_ca_system_score_gemma":0.00096777175,"threshold_uncertainty_score":0.004611075},"labels":[],"label_agreement":null},{"id":"W2000572998","doi":"10.1039/c4mb00334a","title":"Serum metabonomic analysis of apoE−/− mice reveals progression axes for atherosclerosis based on NMR spectroscopy","year":2014,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of British Columbia","keywords":"Taurine; Valine; Choline; Lipid metabolism; Metabolomics; Carnosine; Internal medicine; Chemistry; Biochemistry; Nuclear magnetic resonance spectroscopy; Arteriosclerosis; Endocrinology; Medicine; Biology; Amino acid; Bioinformatics","score_opus":0.009107168915824767,"score_gpt":0.2642485008249194,"score_spread":0.25514133190909466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000572998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952674,0.00046212572,0.003459324,0.00005229985,0.000013234045,0.000019624531,0.0004226291,0.000060423947,0.00024287467],"genre_scores_gemma":[0.98685986,0.0008577277,0.009707679,0.00012554861,0.000019855564,0.00007276702,0.00087408576,0.000035320703,0.0014471003],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998627,0.000026864906,0.000015617748,0.000043784232,0.000026015126,0.000025003284],"domain_scores_gemma":[0.9997116,0.000020900701,0.00015006,0.00002049586,0.000036274196,0.00006071779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003221483,0.00049065857,0.00029824747,0.00084551855,0.00016297586,0.00024529392,0.00011091008,0.00036737375,0.00055261765],"category_scores_gemma":[0.00020863228,0.0001933326,0.00022053802,0.00026205386,0.00020693662,0.0001686621,0.00016124555,0.00038329454,0.00014846527],"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":[0.00040265193,0.00003696073,0.00311513,0.000013530822,0.00000806655,0.0000259401,0.000020609543,0.00001365639,0.9954438,0.000020902318,0.000011900858,0.00088686123],"study_design_scores_gemma":[0.000053013566,0.0029112091,0.25017297,0.00002056419,0.00018722918,0.00075221655,0.00019204171,0.0011485799,0.74304235,0.00024014717,0.001243906,0.000035753903],"about_ca_topic_score_codex":0.0003218898,"about_ca_topic_score_gemma":0.00051483314,"teacher_disagreement_score":0.00084551855,"about_ca_system_score_codex":0.00011534092,"about_ca_system_score_gemma":0.000105845604,"threshold_uncertainty_score":0.0018486977},"labels":[],"label_agreement":null},{"id":"W2002915767","doi":"10.1039/c1mb05080j","title":"Alterations in urinary metabolites due to unilateral ureteral obstruction in a rodent model","year":2011,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Marine Biosciences; Dalhousie University","funders":"","keywords":"Taurine; Urinary system; Osmolyte; Metabolite; Chemistry; Carnitine; Internal medicine; Creatinine; Pathophysiology; Rodent; Endocrinology; Choline; Biochemistry; Biology; Medicine; Amino acid","score_opus":0.016774974851015412,"score_gpt":0.2378675932126341,"score_spread":0.22109261836161867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002915767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941531,0.0011962297,0.0032232217,0.0001475718,0.000047405476,0.000092850736,0.00047403466,0.00021087524,0.00045472142],"genre_scores_gemma":[0.98867387,0.0015769104,0.0066247657,0.000117810225,0.000021758477,0.0002159223,0.0008732328,0.000043499007,0.001852269],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996419,0.00006317866,0.00003916617,0.0000939252,0.00008289115,0.00007881195],"domain_scores_gemma":[0.9990477,0.000082425475,0.00039394497,0.00012348642,0.00006118008,0.0002912435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003977834,0.0010943079,0.00062667,0.0016271981,0.00039880344,0.00041391072,0.000518864,0.000697662,0.0013911917],"category_scores_gemma":[0.00036152249,0.0005284751,0.0006176317,0.000505598,0.00095315574,0.00069739745,0.0005163392,0.0011709633,0.00022640955],"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":[0.0021451702,0.0011643762,0.004030684,0.00020260588,0.000084519845,0.0009539742,0.00007473754,0.00036508398,0.9835671,0.00034053574,0.0002076496,0.006863497],"study_design_scores_gemma":[0.0002930651,0.023767632,0.04765055,0.00007609911,0.0002674773,0.00502977,0.00026664417,0.0028556087,0.9164306,0.0006137916,0.002688869,0.000059848906],"about_ca_topic_score_codex":0.00060508325,"about_ca_topic_score_gemma":0.0012911034,"teacher_disagreement_score":0.0016271981,"about_ca_system_score_codex":0.00035677094,"about_ca_system_score_gemma":0.00051010546,"threshold_uncertainty_score":0.00465405},"labels":[],"label_agreement":null},{"id":"W2003480595","doi":"10.1039/c4mb00265b","title":"Systems analysis reveals down-regulation of a network of pro-survival miRNAs drives the apoptotic response in dilated cardiomyopathy","year":2014,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Canada Research Chairs; University of Toronto; SickKids Foundation; Hospital for Sick Children; Toronto Public Health","funders":"National Institute of General Medical Sciences","keywords":"microRNA; Dilated cardiomyopathy; Apoptosis; Computational biology; Biology; Cardiomyopathy; Bioinformatics; Cell biology; Gene; Cardiology; Medicine; Genetics; Heart failure","score_opus":0.006184597849502175,"score_gpt":0.22730419565829166,"score_spread":0.22111959780878948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003480595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98025286,0.0002300866,0.018009577,0.000037048558,0.0000065523195,0.000020760055,0.00028248093,0.00016659178,0.0009940737],"genre_scores_gemma":[0.9934273,0.00015062616,0.005513442,0.000014181731,0.0000014872982,0.000028979717,0.00046229764,0.0000120099885,0.00038967346],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999851,0.00003542344,0.000011225399,0.00004555188,0.000039630395,0.000017247154],"domain_scores_gemma":[0.99988747,0.000049996528,0.000028416564,0.00001238273,0.0000132519945,0.000008542067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020941715,0.00023575968,0.00031013825,0.00021413159,0.00017094563,0.00034923162,0.00017286684,0.00012787594,0.0007035975],"category_scores_gemma":[0.0003153969,0.00013058152,0.00030922535,0.00016089968,0.00019376296,0.00013162864,0.00016853974,0.00020737134,0.0001708516],"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":[0.00020412463,0.00006036272,0.0039901775,0.0000844045,0.00005014483,0.00008518769,0.000030244479,0.009201303,0.98098534,0.0010862187,0.00007509863,0.0041471976],"study_design_scores_gemma":[0.000033284057,0.0005847133,0.033014473,0.000008322594,0.00015748921,0.00026174422,0.000051211,0.17830263,0.7831478,0.002244948,0.0021668538,0.000026471382],"about_ca_topic_score_codex":0.0007228946,"about_ca_topic_score_gemma":0.0010517811,"teacher_disagreement_score":0.0007228946,"about_ca_system_score_codex":0.00052451034,"about_ca_system_score_gemma":0.0002688166,"threshold_uncertainty_score":0.0038055778},"labels":[],"label_agreement":null},{"id":"W2004102563","doi":"10.1039/c0mb00313a","title":"Simultaneous determination of urinary cortisol, cortisone and corticosterone in parachutists, depressed patients and healthy controls in view of biomedical and pharmacokinetic studies","year":2011,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Stress Responses and Cortisol","field":"Neuroscience","cited_by":29,"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":"World Anti-Doping Agency","keywords":"Cortisone; Chromatography; Chemistry; Pharmacokinetics; Corticosterone; Urine; Analyte; Glucocorticoid; Coefficient of variation; Endocrinology; Internal medicine; Detection limit; Solid phase extraction; Urinary system; Hormone; Medicine","score_opus":0.03267077926776586,"score_gpt":0.3029915944301293,"score_spread":0.27032081516236345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004102563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99689025,0.0019646431,0.00061417284,0.000022816024,0.000012702773,0.000035852838,0.00013211899,0.000018911127,0.0003085473],"genre_scores_gemma":[0.99753785,0.0007926187,0.0009915878,0.00006327795,0.000024042263,0.00006299502,0.00020251921,0.0000026699818,0.00032240024],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997553,0.00004958354,0.00002400962,0.00007632607,0.00007337182,0.000021339592],"domain_scores_gemma":[0.99984205,0.000035426703,0.000041203926,0.000010812471,0.000034510336,0.000035870737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002418569,0.0004472163,0.00055477855,0.00047694918,0.00021290136,0.00026491086,0.00018596175,0.00036202828,0.00048122727],"category_scores_gemma":[0.00044760166,0.00014233885,0.00013305842,0.00030188062,0.00024305945,0.00008877158,0.0001776135,0.00027433957,0.00012035055],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0052770316,0.0008542987,0.67160195,0.0005451406,0.0004798312,0.0019932569,0.0012822379,0.0002586631,0.24332017,0.00008361863,0.00045398867,0.07384975],"study_design_scores_gemma":[0.000118637625,0.0028886215,0.9813726,0.000017082832,0.00016921505,0.0033370066,0.00031626623,0.00051754655,0.010346662,0.000055371234,0.00084644667,0.000014615678],"about_ca_topic_score_codex":0.00094699586,"about_ca_topic_score_gemma":0.0017258871,"teacher_disagreement_score":0.00094699586,"about_ca_system_score_codex":0.000139497,"about_ca_system_score_gemma":0.00014548197,"threshold_uncertainty_score":0.0018829703},"labels":[],"label_agreement":null},{"id":"W2004985564","doi":"10.1039/c2mb00007e","title":"Synthetic antibodies as tools to probe RNA-binding protein function","year":2012,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Becton Dickinson (Canada); Canada Research Chairs; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Immunoprecipitation; RNA-binding protein; Biology; RNA; Computational biology; RNA splicing; Antibody; Function (biology); Cell biology; Gene; Genetics","score_opus":0.01555096059803495,"score_gpt":0.26887748934994943,"score_spread":0.25332652875191447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004985564","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":[0.2666038,0.03280791,0.6657992,0.0016353683,0.0013482716,0.0010807269,0.0071185646,0.004154474,0.019451708],"genre_scores_gemma":[0.4915294,0.026833566,0.44483662,0.0017495876,0.0002780131,0.0025276872,0.015195375,0.0009967384,0.016053028],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99885976,0.00034471284,0.00009757638,0.00019879136,0.00038044527,0.00011873068],"domain_scores_gemma":[0.99932444,0.00025027068,0.00014427109,0.000090550624,0.00012010741,0.00007039014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013661543,0.0012662833,0.0006094423,0.0011336813,0.0003685817,0.0007261667,0.0010313316,0.001168178,0.0027794351],"category_scores_gemma":[0.00095845014,0.00067603285,0.0005081282,0.0007314267,0.0004527248,0.0006674576,0.0006307603,0.0021851687,0.0019957942],"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":[0.000046841582,0.00003901902,0.00006103593,0.00018145522,0.000013691349,0.00003262102,0.000014178082,0.00021205911,0.9946219,0.001016529,0.00038385854,0.0033768632],"study_design_scores_gemma":[0.00004370389,0.00028664107,0.0004758512,0.00003392521,0.000036885995,0.00025576912,0.000017138307,0.0023594117,0.9619889,0.00061968545,0.033864047,0.000017947745],"about_ca_topic_score_codex":0.00030982113,"about_ca_topic_score_gemma":0.00052826235,"teacher_disagreement_score":0.0027794351,"about_ca_system_score_codex":0.0007506036,"about_ca_system_score_gemma":0.00032007514,"threshold_uncertainty_score":0.009298086},"labels":[],"label_agreement":null},{"id":"W2005000963","doi":"10.1039/b905382d","title":"Signaling network analysis of ubiquitin-mediated proteins suggests correlations between the 26S proteasome and tumor progression","year":2009,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Ubiquitin and proteasome pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"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; National Research Council Canada; Biotechnology Research Institute","funders":"","keywords":"Ubiquitin; Proteasome; Biology; Signaling proteins; Cell biology; Signal transduction; Computational biology; Genetics; Gene","score_opus":0.00984532558462609,"score_gpt":0.2525455337622432,"score_spread":0.24270020817761712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005000963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98210675,0.002932627,0.0075074965,0.000055384447,0.0000033316724,0.00002264049,0.0062121795,0.00014075059,0.0010187464],"genre_scores_gemma":[0.98485225,0.0011980894,0.0064616674,0.000010295831,0.000005670546,0.00003262673,0.007027954,0.000010911298,0.00040052322],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998559,0.000022507062,0.000015079433,0.00005461427,0.000030970157,0.000020816326],"domain_scores_gemma":[0.9996419,0.00014282927,0.00010863526,0.000023933311,0.00004459505,0.00003814406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019601829,0.0003247094,0.00037952585,0.0036470038,0.00026640066,0.0003319264,0.00014832377,0.00015143404,0.0010967535],"category_scores_gemma":[0.0005682744,0.00010750999,0.00040682004,0.002640108,0.00014171128,0.00047734327,0.0001677978,0.0001332804,0.00024056097],"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":[0.0017869743,0.0002779643,0.33623546,0.0017808811,0.0009748518,0.0016364796,0.00047757078,0.049079493,0.44379812,0.0043079825,0.0019292826,0.15771498],"study_design_scores_gemma":[0.00003227181,0.00045226936,0.8158314,0.00006736623,0.0005486373,0.0027787483,0.00027813396,0.10092659,0.06124129,0.008028327,0.00975159,0.000063285974],"about_ca_topic_score_codex":0.0012648748,"about_ca_topic_score_gemma":0.0020956853,"teacher_disagreement_score":0.0036470038,"about_ca_system_score_codex":0.00036795787,"about_ca_system_score_gemma":0.00025115925,"threshold_uncertainty_score":0.0036690235},"labels":[],"label_agreement":null},{"id":"W2011305479","doi":"10.1039/c2mb25348h","title":"Biochemical measurements on single erythroid progenitor cells shed light on the combinatorial regulation of red blood cell production","year":2012,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Erythrocyte Function and Pathophysiology","field":"Medicine","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":"University of Toronto","funders":"","keywords":"Downregulation and upregulation; Erythropoietin; Stem cell factor; Progenitor cell; Cell biology; Erythropoiesis; Biology; Bone marrow; Stem cell; Kinase; Molecular biology; Immunology; Biochemistry; Anemia; Endocrinology; Internal medicine; Medicine","score_opus":0.023574559690173275,"score_gpt":0.22707574805202754,"score_spread":0.20350118836185427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011305479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9506218,0.0028176345,0.042820577,0.00007590568,0.000033299002,0.00006108256,0.0012654809,0.00024046176,0.0020637643],"genre_scores_gemma":[0.9649053,0.001692114,0.02936421,0.00006301751,0.000019875497,0.00012325893,0.0012239703,0.0000858098,0.0025224246],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99973005,0.000030561012,0.000027444974,0.00008935288,0.000097847376,0.000024713374],"domain_scores_gemma":[0.99974686,0.000069165544,0.000048177746,0.000029292625,0.000058042722,0.00004853973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024413154,0.00041245137,0.0004038469,0.00035887022,0.00010338951,0.00040568438,0.0002027672,0.00027780572,0.00069287774],"category_scores_gemma":[0.00023945319,0.00013432367,0.00019318186,0.00030266508,0.0001970202,0.00032217163,0.00023999444,0.000646936,0.00031922612],"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":[0.000013234812,0.0000058026203,0.00022818983,0.000015275202,0.0000018646597,0.0000073110145,0.0000058369924,0.000028049137,0.9988034,0.000026638598,0.0000057616935,0.00085860037],"study_design_scores_gemma":[0.0000018855147,0.00006876675,0.0046858825,0.0000023403884,0.000009457832,0.00006301774,0.00001066577,0.0006040188,0.99411523,0.000049344504,0.00038653016,0.000002854802],"about_ca_topic_score_codex":0.00014130877,"about_ca_topic_score_gemma":0.00026013263,"teacher_disagreement_score":0.00069287774,"about_ca_system_score_codex":0.00018171327,"about_ca_system_score_gemma":0.00015216036,"threshold_uncertainty_score":0.0023179054},"labels":[],"label_agreement":null},{"id":"W2012513430","doi":"10.1039/b921912a","title":"A chemiluminescence-based method for identification of histone lysine methyltransferase inhibitors","year":2010,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Structural Genomics Consortium; University of Toronto","funders":"Canadian Institutes of Health Research; National Institutes of Health; Wellcome Trust","keywords":"Histone methyltransferase; Histone; EZH2; Methyltransferase; Epigenetics; Biochemistry; Biotinylation; Acetylation; Biology; Methylation; Chemistry; Molecular biology; DNA; Gene","score_opus":0.007062271365308719,"score_gpt":0.31000126661080485,"score_spread":0.3029389952454961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012513430","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":[0.046434417,0.0055583464,0.9311597,0.00063799793,0.00045862896,0.0008337254,0.00081146526,0.005159377,0.008946423],"genre_scores_gemma":[0.118243955,0.0068483697,0.84300685,0.00072979636,0.00018127527,0.0035175951,0.0041531837,0.0005347965,0.022784099],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981036,0.00054520305,0.00014531282,0.00041494227,0.00057446776,0.00021653014],"domain_scores_gemma":[0.9988722,0.00048400144,0.000149549,0.0001443339,0.00022914856,0.000120808894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018584199,0.0029931492,0.000972682,0.0030420898,0.0007193808,0.00072959333,0.0023036716,0.0013051454,0.00650317],"category_scores_gemma":[0.0014431799,0.001243236,0.0009011093,0.0013993818,0.0005877393,0.00092436175,0.00089577906,0.003111479,0.0039622607],"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":[0.00012769655,0.000110456516,0.00022787851,0.00026274868,0.00003607003,0.0001244927,0.000050276525,0.00010450863,0.98294467,0.00079014315,0.0011493994,0.01407156],"study_design_scores_gemma":[0.000069837086,0.00035815622,0.0011268387,0.00003965169,0.000054423104,0.0008590841,0.000023995555,0.0044493126,0.9745721,0.0003142727,0.01810369,0.000028649654],"about_ca_topic_score_codex":0.00046459283,"about_ca_topic_score_gemma":0.0011155986,"teacher_disagreement_score":0.00650317,"about_ca_system_score_codex":0.0007135522,"about_ca_system_score_gemma":0.00090780394,"threshold_uncertainty_score":0.021755278},"labels":[],"label_agreement":null},{"id":"W2013616784","doi":"10.1039/c3mb90018e","title":"Network Biology editorial 2013","year":2013,"lang":"en","type":"editorial","venue":"Molecular BioSystems","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Biology; Data science; Computational biology","score_opus":0.0035640224472649595,"score_gpt":0.21738598123513259,"score_spread":0.21382195878786764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013616784","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":[0.0000751105,0.0043231193,0.0007538405,0.045786887,0.9447502,0.000035390236,0.0002131607,0.00017872792,0.003883606],"genre_scores_gemma":[0.0019664906,0.011650255,0.00093883823,0.027893895,0.9035387,0.00010721091,0.0004409704,0.00036613835,0.053097527],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962908,0.0005048064,0.00029261477,0.0004453627,0.002126821,0.00033969135],"domain_scores_gemma":[0.9788849,0.0042580445,0.0012907366,0.00054040464,0.010514517,0.0045113307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006064353,0.001870116,0.001814159,0.0031642218,0.0026487252,0.007513841,0.0020072202,0.00431932,0.03667125],"category_scores_gemma":[0.026733149,0.00079561165,0.0017022096,0.0015170722,0.0014245083,0.0034622948,0.0021200802,0.009554385,0.024604892],"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":[0.000023095923,0.0000044036774,0.00002386325,0.000064270105,0.0000074125387,0.00003938296,0.000007323958,0.000033648914,0.00005674603,0.00044151774,0.99364626,0.0056520603],"study_design_scores_gemma":[0.00002592495,0.0000143931375,0.0001661034,0.00017070536,0.000019177376,0.000118094715,0.000022958398,0.00016178914,0.00013555167,0.0014788619,0.99767476,0.000011694778],"about_ca_topic_score_codex":0.00110046,"about_ca_topic_score_gemma":0.003587299,"teacher_disagreement_score":0.03667125,"about_ca_system_score_codex":0.0028761947,"about_ca_system_score_gemma":0.0042372113,"threshold_uncertainty_score":0.122677565},"labels":[],"label_agreement":null},{"id":"W2015681476","doi":"10.1039/c1mb05099k","title":"Bromodomain-peptide displacement assays for interactome mapping and inhibitor discovery","year":2011,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":136,"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":"Biotechnology and Biological Sciences Research Council; Canadian Institutes of Health Research; Wellcome Trust","keywords":"Bromodomain; Interactome; Druggability; Histone; Acetylation; Computational biology; Biology; Histone code; Drug discovery; Epigenetics; Chromatin; Small molecule; BRD4; Chromatin immunoprecipitation; Biochemistry; Chemistry; Nucleosome; Gene; Gene expression; Promoter","score_opus":0.018498129069197483,"score_gpt":0.23069388286861384,"score_spread":0.21219575379941635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015681476","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":[0.12980765,0.005073894,0.8512414,0.00044224167,0.00019796634,0.0011384987,0.003033047,0.0022546852,0.006810661],"genre_scores_gemma":[0.35304764,0.0058571724,0.61945075,0.00053954136,0.000116940006,0.0029960074,0.0048153764,0.0003494508,0.012826959],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99623907,0.0011426167,0.00022093633,0.00060187624,0.0014887446,0.00030670635],"domain_scores_gemma":[0.9975343,0.0013467128,0.0003177627,0.00032662528,0.00029135804,0.0001833053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027063708,0.001490109,0.0013536949,0.0016203746,0.00085336843,0.0009757004,0.0014657087,0.0012035233,0.0033742227],"category_scores_gemma":[0.0022987123,0.0009109305,0.00073896005,0.0012857615,0.0008288224,0.00068277906,0.0011149691,0.0024547146,0.0021166832],"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":[0.00012318186,0.00009772267,0.00026884128,0.00014013246,0.00005511051,0.000027560185,0.00004028585,0.00041365734,0.9921645,0.0006742626,0.00039582755,0.005598999],"study_design_scores_gemma":[0.00002434035,0.00016129001,0.00068763265,0.000007484365,0.000030322231,0.00008984086,0.0000133940575,0.004349752,0.99102825,0.0002572125,0.0033294074,0.000021049596],"about_ca_topic_score_codex":0.0006595307,"about_ca_topic_score_gemma":0.0031115427,"teacher_disagreement_score":0.0033742227,"about_ca_system_score_codex":0.0009930701,"about_ca_system_score_gemma":0.00054110005,"threshold_uncertainty_score":0.014312804},"labels":[],"label_agreement":null},{"id":"W2015714531","doi":"10.1039/b907407d","title":"Systems-level approaches for identifying and analyzing genetic interaction networks in <i>Escherichia coli</i> and extensions to other prokaryotes","year":2009,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Escherichia coli; Computational biology; Biology; Computer science; Genetics; Evolutionary biology; Gene","score_opus":0.06542478450936108,"score_gpt":0.3002665201222121,"score_spread":0.23484173561285104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015714531","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":[0.0012298642,0.9459371,0.047337368,0.00068984093,0.00017241,0.000084397754,0.00017076511,0.00021788721,0.004160424],"genre_scores_gemma":[0.009492346,0.9356463,0.052892122,0.00025429882,0.00013448016,0.00015814036,0.00021442924,0.000016702561,0.0011911828],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99964595,0.00008707938,0.00004207761,0.00007815347,0.00012970013,0.000017098007],"domain_scores_gemma":[0.99937326,0.00042945193,0.00006939145,0.000030841256,0.00007876357,0.000018397672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089335674,0.0010228057,0.0014842708,0.0037293083,0.0002443113,0.001151863,0.0014594481,0.0008925862,0.0015213664],"category_scores_gemma":[0.0012593445,0.00048127957,0.0010448592,0.0032669182,0.0009906471,0.0016058573,0.00051624863,0.0010766059,0.0010896465],"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":[0.000033822198,0.000080194404,0.0010604148,0.035189565,0.00048236057,0.00041351368,0.00018905207,0.014113098,0.011542248,0.07146764,0.008367802,0.8570603],"study_design_scores_gemma":[0.00005020206,0.00022999036,0.0063077123,0.0077956133,0.0009039186,0.0027061482,0.00036167345,0.025381068,0.013225714,0.10367718,0.8391797,0.00018116996],"about_ca_topic_score_codex":0.001990885,"about_ca_topic_score_gemma":0.002575668,"teacher_disagreement_score":0.0037293083,"about_ca_system_score_codex":0.0012995896,"about_ca_system_score_gemma":0.0012481504,"threshold_uncertainty_score":0.009429216},"labels":[],"label_agreement":null},{"id":"W2016589057","doi":"10.1039/c2mb25398d","title":"Effect of IR laser on myoblasts: a proteomic study","year":2013,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Laser Applications in Dentistry and Medicine","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"Ente Cassa di Risparmio di Firenze; Fondazione Cassa di Risparmio di Pistoia e Pescia","keywords":"MyoD; C2C12; Myocyte; Cytoskeleton; Cell biology; Proteome; Cell; Biology; Cell growth; Cellular differentiation; Proteomics; MyoD Protein; Bioinformatics; Biochemistry; Myogenesis; Gene","score_opus":0.004320879035022228,"score_gpt":0.2723541841729331,"score_spread":0.2680333051379109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016589057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98885065,0.005533386,0.002238094,0.000092795795,0.00004319531,0.00005324217,0.0011696701,0.000021946757,0.001996995],"genre_scores_gemma":[0.9747547,0.0064872396,0.007940577,0.00027489715,0.00004815051,0.00015977887,0.0025227715,0.000029721443,0.007782212],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998907,0.000011648988,0.000006871743,0.00003199294,0.000039473805,0.000019283347],"domain_scores_gemma":[0.9999366,0.000010660567,0.000010080908,0.000005894971,0.000024488516,0.000012257594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001778021,0.00023563135,0.00038885136,0.0002626477,0.00033972904,0.00024069542,0.00014636609,0.00032265636,0.0011633935],"category_scores_gemma":[0.00009390426,0.00010886639,0.00031854573,0.0004020038,0.0001593372,0.00019637561,0.00013528542,0.00031176757,0.00057113846],"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":[0.000082769235,0.000013950708,0.00015899476,0.00004138629,0.00000409847,0.000022871971,0.00001917928,0.000009256883,0.9990878,0.000009166635,0.000012956698,0.0005376111],"study_design_scores_gemma":[0.00002232004,0.00054799515,0.074054144,0.000018196806,0.000077692996,0.0004079119,0.0002884537,0.0005586864,0.9200564,0.00005567697,0.0038945167,0.000017962027],"about_ca_topic_score_codex":0.0013477068,"about_ca_topic_score_gemma":0.0015900044,"teacher_disagreement_score":0.0013477068,"about_ca_system_score_codex":0.0001726415,"about_ca_system_score_gemma":0.00021372121,"threshold_uncertainty_score":0.003891945},"labels":[],"label_agreement":null},{"id":"W2018903836","doi":"10.1039/c2mb05475b","title":"Simultaneous analysis of cardiolipin and lipid A from <i>Helicobacter</i> <i>pylori</i> by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry","year":2012,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Helicobacter pylori-related gastroenterology studies","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; Institute for Biological Sciences","funders":"China Scholarship Council","keywords":"Cardiolipin; Bacterial outer membrane; Chemistry; Myristic acid; Helicobacter pylori; Biochemistry; Ex vivo; Bacteria; In vivo; Biology; In vitro; Microbiology; Fatty acid; Membrane; Palmitic acid; Phospholipid; Escherichia coli","score_opus":0.006114637119449795,"score_gpt":0.2285104518988457,"score_spread":0.2223958147793959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018903836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990418,0.0011744263,0.006615707,0.000063446125,0.00001935398,0.000033528813,0.0009949539,0.000086672124,0.00059380825],"genre_scores_gemma":[0.9664252,0.0017110528,0.027653411,0.00017885053,0.00002695806,0.000084803156,0.0026690532,0.000098666154,0.0011520938],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998623,0.000015631482,0.000011474845,0.00004605952,0.00004645721,0.000017998143],"domain_scores_gemma":[0.99987376,0.000022277494,0.00003490988,0.000008280452,0.000041035983,0.000019742905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013208693,0.00050313456,0.00023057706,0.0005766821,0.00024560728,0.00027725354,0.00015293858,0.00036583212,0.00033259383],"category_scores_gemma":[0.00026040632,0.0001425203,0.00020343512,0.0003109877,0.0001423208,0.00026120152,0.00035146272,0.0002657738,0.00022610277],"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":[0.000024303137,0.000002836715,0.00032378142,0.000012893729,0.0000031159232,0.000029342982,0.000007998946,0.00000784044,0.99884063,0.0000050146905,0.000009225547,0.0007330634],"study_design_scores_gemma":[0.000008562344,0.0001914537,0.020143917,0.000009444662,0.000035217035,0.0008742836,0.0000942729,0.0014142751,0.9753475,0.000059196293,0.0018022851,0.00001952824],"about_ca_topic_score_codex":0.00052481267,"about_ca_topic_score_gemma":0.0006717322,"teacher_disagreement_score":0.0005766821,"about_ca_system_score_codex":0.00014826452,"about_ca_system_score_gemma":0.00015000594,"threshold_uncertainty_score":0.0011126399},"labels":[],"label_agreement":null},{"id":"W2023796415","doi":"10.1039/c4mb00097h","title":"Comparing systemic metabolic responses in mice to single or dual infection with <i>Plasmodium berghei</i> and <i>Heligmosomoides bakeri</i>","year":2014,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Malaria Research and Control","field":"Medicine","cited_by":3,"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; Ste. Anne's Hospital","funders":"Wellcome Trust","keywords":"Plasmodium berghei; Biology; Phenotype; Malaria; Parasite hosting; Virology; Immunology; Genetics; Gene","score_opus":0.015462544828967325,"score_gpt":0.2494756345625025,"score_spread":0.23401308973353516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023796415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930073,0.0007287603,0.0018282407,0.00019508421,0.000057169204,0.00008648516,0.0024450405,0.000136274,0.0015157016],"genre_scores_gemma":[0.9815498,0.0013584745,0.0055259317,0.00048610131,0.000052114097,0.00046827382,0.0034189487,0.00017336429,0.0069669434],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996439,0.00003440361,0.000027832159,0.00013964112,0.000049669547,0.00010443756],"domain_scores_gemma":[0.9994992,0.00003624882,0.0001810204,0.0000357323,0.00004834801,0.00019945238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024105895,0.0007723104,0.00049362873,0.0008514386,0.00031682753,0.0004062988,0.00026009616,0.00073851936,0.0017545143],"category_scores_gemma":[0.00015551885,0.00037888178,0.00046977896,0.0003380379,0.0007127404,0.00050246075,0.0003498371,0.0016052313,0.0003822586],"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":[0.0012654514,0.00013427432,0.00075267424,0.00004518098,0.000012293726,0.00005198132,0.000044887685,0.000045024924,0.9968368,0.00004671482,0.00006084829,0.00070391985],"study_design_scores_gemma":[0.00013995213,0.0070254,0.057051998,0.00003743476,0.0001461988,0.00074115524,0.0004179219,0.0014089096,0.9298893,0.00021692525,0.0028787674,0.000045926732],"about_ca_topic_score_codex":0.00076359307,"about_ca_topic_score_gemma":0.0014369285,"teacher_disagreement_score":0.0017545143,"about_ca_system_score_codex":0.00036627392,"about_ca_system_score_gemma":0.00024719257,"threshold_uncertainty_score":0.005869448},"labels":[],"label_agreement":null},{"id":"W2024240602","doi":"10.1039/c2mb25520k","title":"Synthesis of peptide-conjugated light-driven molecular motors and evaluation of their DNA-binding properties","year":2013,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Supramolecular Chemistry and Complexes","field":"Chemistry","cited_by":12,"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":"Core Research for Evolutional Science and Technology; Astellas Foundation for Research on Metabolic Disorders; University of British Columbia","keywords":"Conjugated system; Molecular motor; DNA; Peptide; Molecular machine; Chemistry; Combinatorial chemistry; Nanotechnology; Biophysics; Materials science; Biochemistry; Biology; Polymer; Organic chemistry","score_opus":0.01838284136251615,"score_gpt":0.2161770320289822,"score_spread":0.19779419066646606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024240602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98771065,0.001737535,0.009382215,0.00006929742,0.000018798757,0.00008095618,0.00012256144,0.000046058256,0.0008318812],"genre_scores_gemma":[0.98325413,0.00092860346,0.0143368,0.000035401696,0.000007452044,0.00006493732,0.00021286972,0.000016482078,0.0011432676],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998287,0.00003236787,0.000014062274,0.000029007675,0.00006980487,0.000026008263],"domain_scores_gemma":[0.99981314,0.00005161499,0.000052491243,0.00001282945,0.000034705812,0.000035267312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003143984,0.0002428183,0.00022938116,0.00014657684,0.0001526734,0.00021479864,0.0001970311,0.00033320763,0.00050498534],"category_scores_gemma":[0.0004083799,0.00011143163,0.00009754597,0.00015644023,0.00017861073,0.00026819092,0.000121269826,0.000361793,0.00015191609],"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":[0.00003939623,0.000027189191,0.00007786927,0.000047876736,0.0000041024723,0.00002326085,0.000014086546,0.0002510328,0.99751174,0.00014182298,0.000016204023,0.0018454697],"study_design_scores_gemma":[0.000006224627,0.0001007957,0.00021795534,0.0000016419575,0.0000033570313,0.000032060143,0.0000034697246,0.00051774905,0.998615,0.000013657552,0.00048546036,0.000002670358],"about_ca_topic_score_codex":0.00021025063,"about_ca_topic_score_gemma":0.00031705142,"teacher_disagreement_score":0.00050498534,"about_ca_system_score_codex":0.00021236409,"about_ca_system_score_gemma":0.00017251134,"threshold_uncertainty_score":0.0016893148},"labels":[],"label_agreement":null},{"id":"W2024629794","doi":"10.1039/c4mb00723a","title":"Insight into the key interactions of bromodomain inhibitors based on molecular docking, interaction fingerprinting, molecular dynamics and binding free energy calculation","year":2015,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","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":"Vancouver Biotech (Canada); University of British Columbia","funders":"","keywords":"Bromodomain; Docking (animal); Molecular dynamics; Chemistry; Computational biology; Binding site; Computational chemistry; Biochemistry; Biology; Epigenetics; Medicine; Gene","score_opus":0.00844817812379396,"score_gpt":0.23793308332273175,"score_spread":0.2294849051989378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024629794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70703423,0.0041384487,0.26151294,0.0006822269,0.00010339167,0.00026413042,0.0008200519,0.00077662466,0.024667997],"genre_scores_gemma":[0.95187986,0.0021012172,0.043588728,0.000120130615,0.000017904404,0.0002852056,0.00047025955,0.00011124653,0.0014252986],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978656,0.00005357435,0.000011751978,0.00002335362,0.00006854329,0.000056187808],"domain_scores_gemma":[0.9997929,0.00010110146,0.000024701358,0.000018874005,0.00003660507,0.000025915971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047446924,0.0013910758,0.0017393312,0.0007837875,0.0009810391,0.00066334795,0.0011252209,0.0008168482,0.0026974138],"category_scores_gemma":[0.00063086156,0.00057156,0.001149272,0.00062403566,0.00044360542,0.0010495046,0.00058235665,0.0008244928,0.0002643515],"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":[0.00018661041,0.0001963944,0.00189721,0.0002468379,0.00012917462,0.00031682226,0.00006899168,0.95373666,0.015906792,0.015289012,0.00060912856,0.011416343],"study_design_scores_gemma":[0.000028946808,0.000038445916,0.00030553245,0.000008491877,0.000026185202,0.000024563184,0.00001942802,0.9960898,0.0014585705,0.0016491822,0.00033718173,0.000013767007],"about_ca_topic_score_codex":0.008958159,"about_ca_topic_score_gemma":0.006260385,"teacher_disagreement_score":0.008958159,"about_ca_system_score_codex":0.0009248798,"about_ca_system_score_gemma":0.0012953738,"threshold_uncertainty_score":0.017812014},"labels":[],"label_agreement":null},{"id":"W2027139914","doi":"10.1039/b607001a","title":"Progress towards the easier use of P450 enzymes","year":2006,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Merck Canada; Centre National de la Recherche Scientifique","keywords":"Cytochrome P450; Cofactor; Enzyme; Substrate (aquarium); Chemistry; Protein engineering; Biochemistry; Heme; Mutagenesis; Hydroxylation; Hemeprotein; Combinatorial chemistry; Biology; Gene; Mutation","score_opus":0.28224781355110473,"score_gpt":0.4799072877840047,"score_spread":0.19765947423289998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027139914","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":[0.011890203,0.9076076,0.054140624,0.0016136789,0.00066077214,0.00008640981,0.00022328366,0.00046076003,0.023316648],"genre_scores_gemma":[0.04953872,0.88896894,0.040692773,0.0012400032,0.00072267896,0.0001488893,0.0008780349,0.00012009384,0.017689893],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99904186,0.00020230179,0.00006363232,0.00025485404,0.00037395078,0.00006342233],"domain_scores_gemma":[0.9996525,0.00011420646,0.000050949166,0.00005483392,0.00010011597,0.000027357604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011260331,0.00097639963,0.0012534944,0.0014386222,0.00024322428,0.0010891614,0.0010619295,0.0011775078,0.004023527],"category_scores_gemma":[0.000768133,0.00036652546,0.00074658194,0.0014720057,0.000530227,0.0013063169,0.0010197822,0.0018464151,0.00661289],"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":[0.000118918804,0.00021480866,0.00048857945,0.0059736054,0.00009152783,0.00040430675,0.0001148234,0.0006080273,0.11445031,0.0103299385,0.007960081,0.859245],"study_design_scores_gemma":[0.000031407108,0.00038307838,0.001284497,0.00043754326,0.00010762439,0.002198231,0.00004886341,0.00045103757,0.089049056,0.0029681793,0.9030101,0.000030428997],"about_ca_topic_score_codex":0.00044759098,"about_ca_topic_score_gemma":0.00035838317,"teacher_disagreement_score":0.004023527,"about_ca_system_score_codex":0.0005430218,"about_ca_system_score_gemma":0.000646422,"threshold_uncertainty_score":0.01346004},"labels":[],"label_agreement":null},{"id":"W2028707451","doi":"10.1039/b919263h","title":"Beyond the bounds of orthology: functional inference from metagenomic context","year":2010,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metagenomics; Context (archaeology); Inference; Biology; Computational biology; Genome; Construct (python library); Functional genomics; Function (biology); Set (abstract data type); Genomics; Computer science; Evolutionary biology; Genetics; Gene; Artificial intelligence","score_opus":0.006815776979720863,"score_gpt":0.21523128108798148,"score_spread":0.20841550410826062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028707451","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":[0.28844216,0.001870167,0.7050026,0.0010247054,0.00003976618,0.00006721749,0.00090065267,0.00077065127,0.0018820041],"genre_scores_gemma":[0.868798,0.00083191734,0.12865157,0.00019080615,0.000053709777,0.000073237454,0.0010485476,0.00015582786,0.0001962257],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966133,0.0021183784,0.00012696332,0.0005786323,0.00045328037,0.00010936305],"domain_scores_gemma":[0.9741985,0.021081029,0.0010658194,0.0028857952,0.00049155904,0.00027725822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066123665,0.0010939409,0.0010962109,0.002539306,0.0006459865,0.0019069079,0.0012571705,0.0010405019,0.0008047171],"category_scores_gemma":[0.03648815,0.00074338826,0.001119664,0.0020543055,0.0013269711,0.0047127297,0.002683533,0.0025473442,0.00023535204],"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":[0.0013079093,0.0002918973,0.117273465,0.0012143803,0.0011761431,0.0012880672,0.0019075235,0.45842415,0.07340126,0.06825705,0.0014940959,0.27396405],"study_design_scores_gemma":[0.00003748816,0.00012763288,0.01547605,0.00014687527,0.00017129848,0.00024495405,0.00026121942,0.78658533,0.013140508,0.18103485,0.002711551,0.00006221321],"about_ca_topic_score_codex":0.0020933563,"about_ca_topic_score_gemma":0.002272255,"teacher_disagreement_score":0.0066123665,"about_ca_system_score_codex":0.00061192206,"about_ca_system_score_gemma":0.0009057058,"threshold_uncertainty_score":0.034969926},"labels":[],"label_agreement":null},{"id":"W2028795514","doi":"10.1039/c5mb00030k","title":"Molecular effects of supraphysiological doses of doping agents on health","year":2015,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"Hormonal and reproductive studies","field":"Medicine","cited_by":8,"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":"World Anti-Doping Agency; Università degli Studi di Napoli Federico II","keywords":"Anabolic-Androgenic Steroids; Testosterone (patch); Hormone; Anabolism; Dihydrotestosterone; Adverse effect; Growth hormone; Population; Endocrinology; Medicine; Bioinformatics; Internal medicine; Pharmacology; Biology; Androgen","score_opus":0.07294993594958023,"score_gpt":0.39440193865964684,"score_spread":0.32145200271006663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028795514","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":[0.00025111088,0.9985713,0.0000997917,0.00016475024,0.00008535523,0.0000033160043,0.000024013176,0.000005563843,0.00079470646],"genre_scores_gemma":[0.0015777388,0.99763787,0.00013354706,0.00011469496,0.00007593826,0.0000045608426,0.000027384482,0.0000010822181,0.0004271674],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998369,0.000031939697,0.000027725251,0.00003252086,0.00005705238,0.00001378673],"domain_scores_gemma":[0.99970645,0.00017376972,0.000043701846,0.000008974467,0.00005469174,0.000012317987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039043336,0.00055096357,0.00087612745,0.0017113888,0.00019744146,0.0006291344,0.0005358852,0.00073803036,0.0031802214],"category_scores_gemma":[0.000681895,0.00017442172,0.00043668266,0.0011192971,0.00035519135,0.0006093195,0.00042717063,0.0007355304,0.0008914104],"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":[0.00010344446,0.00007023816,0.0005496448,0.026995165,0.00018292591,0.00027440797,0.000069603615,0.00027222215,0.0031545078,0.0033330747,0.010925548,0.95406914],"study_design_scores_gemma":[0.000020608646,0.00018462578,0.003993858,0.0078782225,0.00040839284,0.0031908415,0.00012770823,0.00014485253,0.0029798485,0.0029612896,0.97807753,0.000032276952],"about_ca_topic_score_codex":0.0008586183,"about_ca_topic_score_gemma":0.0015887627,"teacher_disagreement_score":0.0031802214,"about_ca_system_score_codex":0.00035214375,"about_ca_system_score_gemma":0.0006481054,"threshold_uncertainty_score":0.010638952},"labels":[],"label_agreement":null},{"id":"W2035442778","doi":"10.1039/c3mb70501c","title":"A global investigation of gene deletion strains that affect premature stop codon bypass in yeast, <i>Saccharomyces cerevisiae</i>","year":2014,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; University of Regina; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Saccharomyces cerevisiae; Yeast; Affect (linguistics); Gene; Biology; Genetics; Saccharomyces; Stop codon; Psychology; Communication","score_opus":0.009531350702257526,"score_gpt":0.22516836820740993,"score_spread":0.2156370175051524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035442778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9821238,0.00091487647,0.011651329,0.000070895105,0.000029538205,0.00017050815,0.0036613892,0.00025286328,0.0011248693],"genre_scores_gemma":[0.9663875,0.001399835,0.017659076,0.00009798782,0.000009589916,0.0003157043,0.009806486,0.00022961231,0.0040942915],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982065,0.000018209194,0.000025391579,0.00005719211,0.000050022616,0.000028570552],"domain_scores_gemma":[0.99980515,0.000053694836,0.00006010589,0.000020807232,0.000025925016,0.00003427671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019574822,0.0007785967,0.0005174233,0.00046118695,0.00020921914,0.00028702916,0.00034745692,0.00026722281,0.0007915112],"category_scores_gemma":[0.0001597842,0.00018785633,0.00043862933,0.00049657334,0.00029064147,0.00015886099,0.00029205283,0.00053765805,0.00033939772],"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":[0.00003333442,0.000015386855,0.000146307,0.000025273781,0.0000039300535,0.000028345328,0.000006497583,0.000025898758,0.9990621,0.000021361475,0.0000114951345,0.0006199712],"study_design_scores_gemma":[0.000011672516,0.0002534029,0.0066349525,0.0000053559247,0.00004397086,0.00024825693,0.000036976788,0.00043058564,0.990759,0.000020810336,0.0015495474,0.0000054971883],"about_ca_topic_score_codex":0.0008373876,"about_ca_topic_score_gemma":0.0011295876,"teacher_disagreement_score":0.0008373876,"about_ca_system_score_codex":0.00027509886,"about_ca_system_score_gemma":0.00032426484,"threshold_uncertainty_score":0.0026478767},"labels":[],"label_agreement":null},{"id":"W2035679045","doi":"10.1039/c4mb00320a","title":"A copper-responsive gene cluster is required for copper homeostasis and contributes to oxidative resistance in <i>Deinococcus radiodurans</i> R1","year":2014,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Trace Elements in Health","field":"Nursing","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":"Biotechnology Research Institute","funders":"","keywords":"Deinococcus radiodurans; Copper; Gene; Oxidative phosphorylation; Homeostasis; Biology; Gene cluster; Cluster (spacecraft); Cell biology; Resistance (ecology); Genetics; Chemistry; Biochemistry; Ecology","score_opus":0.012096640304271112,"score_gpt":0.2814827154803802,"score_spread":0.2693860751761091,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035679045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951874,0.0008929095,0.0015395507,0.000095047224,0.00001776374,0.000022807353,0.0011901327,0.00015061499,0.0009037312],"genre_scores_gemma":[0.98993903,0.00032261366,0.0022613187,0.00006743693,0.000017122684,0.000032609743,0.004280689,0.00010468029,0.0029744508],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997367,0.000027729242,0.000027384916,0.000070867325,0.0000763711,0.000060857405],"domain_scores_gemma":[0.9995795,0.000057194895,0.00020951331,0.000034484692,0.00004229257,0.00007708101],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014209529,0.0006441032,0.00043534287,0.0004839106,0.00019994081,0.00033354165,0.00033504431,0.00031870944,0.0009833823],"category_scores_gemma":[0.00028690413,0.00019824885,0.0003898019,0.00037466612,0.00024684754,0.00011418149,0.0004330992,0.00046049242,0.00092737214],"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":[0.00007106804,0.000019667168,0.00043678322,0.000029715604,0.0000027906376,0.00012464708,0.000025775173,0.00002465348,0.9983948,0.000026972764,0.00004747037,0.0007957972],"study_design_scores_gemma":[0.00004038885,0.00027604192,0.124507174,0.000032411444,0.000042435393,0.0029932065,0.00020867125,0.001522612,0.86242723,0.00008898001,0.00781551,0.000045353452],"about_ca_topic_score_codex":0.0031562964,"about_ca_topic_score_gemma":0.0015006578,"teacher_disagreement_score":0.0031562964,"about_ca_system_score_codex":0.0005331366,"about_ca_system_score_gemma":0.00024539288,"threshold_uncertainty_score":0.0062758923},"labels":[],"label_agreement":null},{"id":"W2036408874","doi":"10.1039/c3mb70231f","title":"Binding structures and energies of the human neonatal Fc receptor with human Fc and its mutants by molecular modeling and dynamics simulations","year":2013,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":14,"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":"National Institute on Drug Abuse; University of Windsor; National Institutes of Health; University of Kentucky","keywords":"Neonatal Fc receptor; Mutant; Fragment crystallizable region; Homology modeling; Binding site; Plasma protein binding; Biophysics; Receptor; Molecular dynamics; Chemistry; Human proteins; Protein structure; Antibody; Biology; Immunoglobulin G; Biochemistry; Genetics; Gene; Enzyme; Computational chemistry","score_opus":0.011048280868550106,"score_gpt":0.266425648006049,"score_spread":0.2553773671374989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036408874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9595354,0.00081699336,0.023193002,0.00055552577,0.000045577504,0.00009974705,0.0013769984,0.00029110064,0.014085644],"genre_scores_gemma":[0.98504007,0.00059061934,0.010475655,0.00012883426,0.000013611224,0.0002858419,0.0014896761,0.000094040144,0.0018816444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996916,0.00008510478,0.000011683893,0.000035629393,0.00010364746,0.00007230144],"domain_scores_gemma":[0.9995946,0.00017733136,0.000046932015,0.000028587016,0.00008726537,0.00006525087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046462228,0.0009554524,0.001388311,0.0007567731,0.0013809799,0.0007708506,0.001445404,0.001360897,0.0034939144],"category_scores_gemma":[0.0012238433,0.0006259123,0.0009147683,0.0009945395,0.00074879,0.0006519532,0.0004593672,0.00095419516,0.00044967493],"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":[0.00014981435,0.000081249156,0.0011631597,0.000040793362,0.00005280765,0.00016944892,0.00004730028,0.9900474,0.002549731,0.004118801,0.00040443687,0.0011752011],"study_design_scores_gemma":[0.00007833275,0.000072189934,0.0007599116,0.000011871858,0.000023652467,0.000025761825,0.000059443584,0.9959753,0.0012997177,0.0012524923,0.00042356722,0.0000178085],"about_ca_topic_score_codex":0.026453746,"about_ca_topic_score_gemma":0.01242413,"teacher_disagreement_score":0.026453746,"about_ca_system_score_codex":0.0029611066,"about_ca_system_score_gemma":0.0021837458,"threshold_uncertainty_score":0.05259949},"labels":[],"label_agreement":null},{"id":"W2038561646","doi":"10.1039/c3mb70402e","title":"Optimization of a genetically encoded biosensor for cyclin B1-cyclin dependent kinase 1","year":2013,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Centers for Disease Control and Prevention","keywords":"Biosensor; Kinase; Cyclin-dependent kinase 1; Biology; Cell biology; Biochemistry; Cell cycle; Cell","score_opus":0.006007499991399431,"score_gpt":0.24378804949652422,"score_spread":0.23778054950512478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038561646","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9065072,0.0012159866,0.08725256,0.00052731787,0.00011689774,0.0005142951,0.0009804708,0.0006442873,0.0022410315],"genre_scores_gemma":[0.86054754,0.001231181,0.13254675,0.0001264819,0.000016887909,0.00033683292,0.0013541906,0.00019966581,0.0036404647],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991375,0.00016600384,0.000080795086,0.00018310873,0.00034125146,0.00009139389],"domain_scores_gemma":[0.9997141,0.00010215278,0.00005103707,0.0000252352,0.00006186432,0.000045604233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007375488,0.0009158694,0.0010355504,0.00045150146,0.0003031907,0.0008396359,0.0008819241,0.0008283281,0.0005619619],"category_scores_gemma":[0.0008579219,0.00044945916,0.00041919987,0.00048128783,0.00042989824,0.00041734002,0.0004945584,0.0009919509,0.0005868957],"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":[0.00001966015,0.000032667464,0.0000582546,0.000017554521,0.0000022857046,0.0000144935,0.00000885051,0.00021784863,0.99893934,0.000057242214,0.000019504476,0.0006123701],"study_design_scores_gemma":[0.000007815883,0.000076955934,0.00030622853,0.000002025893,0.00000618391,0.00004866917,0.000012059075,0.0027506608,0.99613094,0.000014221074,0.00063776807,0.000006480929],"about_ca_topic_score_codex":0.0025144254,"about_ca_topic_score_gemma":0.003062399,"teacher_disagreement_score":0.0025144254,"about_ca_system_score_codex":0.0012766479,"about_ca_system_score_gemma":0.0006989344,"threshold_uncertainty_score":0.009262741},"labels":[],"label_agreement":null},{"id":"W2043856061","doi":"10.1039/b801724g","title":"Linking the kinome and phosphorylome—a comprehensive review of approaches to find kinase targets","year":2008,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":50,"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 Toronto; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research; National Cancer Institute; Genome Canada","keywords":"Kinome; Kinase; Phosphorylation; Biology; Computational biology; Protein phosphorylation; Cell biology; Protein kinase A","score_opus":0.08146808433639019,"score_gpt":0.3015082796342897,"score_spread":0.22004019529789953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043856061","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":[0.00026855143,0.9935866,0.002209479,0.00027238825,0.00028815676,0.000014462492,0.000039463266,0.000046997702,0.0032739923],"genre_scores_gemma":[0.000835095,0.9938829,0.002545791,0.00024503493,0.00016710853,0.000025944986,0.00006059172,0.000007425803,0.0022301653],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997187,0.00003238666,0.000027123786,0.000059984057,0.00014092874,0.00002077595],"domain_scores_gemma":[0.9998048,0.00007609689,0.000026912558,0.000008059788,0.0000632831,0.000020883144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004922046,0.0013716808,0.0017497329,0.0031239989,0.00038901487,0.0011869763,0.0014041362,0.0013535093,0.0038953333],"category_scores_gemma":[0.00051741966,0.0005199101,0.0004504873,0.002781647,0.0006042724,0.0023819061,0.00074896985,0.0015583631,0.006266451],"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":[0.000065935485,0.000104092185,0.00014588887,0.0144824395,0.00008878709,0.00038880555,0.00007259782,0.00080063846,0.014557605,0.0112077445,0.033000953,0.92508453],"study_design_scores_gemma":[0.000013094652,0.00007717874,0.00048301436,0.0012571345,0.000047472047,0.0015159448,0.000047735724,0.00023296916,0.0038974623,0.0052272873,0.98716706,0.000033701173],"about_ca_topic_score_codex":0.0009921466,"about_ca_topic_score_gemma":0.0011925726,"teacher_disagreement_score":0.0038953333,"about_ca_system_score_codex":0.00089562935,"about_ca_system_score_gemma":0.0008418839,"threshold_uncertainty_score":0.013031244},"labels":[],"label_agreement":null},{"id":"W2043928697","doi":"10.1039/c4mb00406j","title":"Systems biosynthesis of secondary metabolic pathways within the oral human microbiome member <i>Streptococcus mutans</i>","year":2014,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Oral microbiology and periodontitis research","field":"Dentistry","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Population Health Research Institute; McMaster University","funders":"Royal Society of Chemistry; Canadian Institutes of Health Research; Royal Society","keywords":"Streptococcus mutans; Microbiome; Biosynthesis; Metabolic pathway; Oral Microbiome; Microbiology; Biology; Human microbiome; Metabolic activity; Computational biology; Chemistry; Genetics; Bacteria; Gene; Physiology","score_opus":0.01912830468051874,"score_gpt":0.26487327851616893,"score_spread":0.2457449738356502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043928697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98985225,0.0013126415,0.0054824348,0.00009218274,0.000016736329,0.00004248013,0.0011785793,0.00005983362,0.0019629337],"genre_scores_gemma":[0.9859865,0.0008240691,0.0104047395,0.000043011416,0.0000052330965,0.00003722704,0.0014582151,0.000019650115,0.0012213711],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998516,0.000033053893,0.000007640474,0.000040919396,0.00004183412,0.000024896339],"domain_scores_gemma":[0.99989307,0.000017410981,0.000036838697,0.000012962356,0.000022680952,0.000017115353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016586015,0.00044143805,0.00019257423,0.00032232894,0.00024124821,0.00055902847,0.00012327191,0.00021671611,0.0008082873],"category_scores_gemma":[0.00019977693,0.00012148407,0.0003125473,0.00038670615,0.00018121392,0.00031740923,0.0003498556,0.00030874225,0.00022733146],"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":[0.00026859154,0.000035557277,0.0017318635,0.00007732103,0.000012538363,0.00007848886,0.00004265445,0.00025248932,0.9913175,0.00024184135,0.000037609625,0.005903624],"study_design_scores_gemma":[0.000008764134,0.00033102807,0.019458825,0.000018089253,0.00004001719,0.00026669743,0.00013980738,0.0019278588,0.97456396,0.00041006002,0.002820256,0.000014727975],"about_ca_topic_score_codex":0.00084071915,"about_ca_topic_score_gemma":0.0009817961,"teacher_disagreement_score":0.00084071915,"about_ca_system_score_codex":0.0003368831,"about_ca_system_score_gemma":0.0005322772,"threshold_uncertainty_score":0.0027040243},"labels":[],"label_agreement":null},{"id":"W2047527111","doi":"10.1039/b924668c","title":"Host–virus interactions during hepatitis C virus infection: a complex and dynamic molecular biosystem","year":2010,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"Hepatitis C virus research","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Steacie Institute for Molecular Sciences; University of Ottawa","funders":"","keywords":"Host (biology); Virology; Virus; Biology; Hepatitis C virus; Hepatitis a virus; Genetics","score_opus":0.03774662950711532,"score_gpt":0.3695214754838532,"score_spread":0.3317748459767379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047527111","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":[0.00037043603,0.99532807,0.0008388986,0.00047827247,0.00031508133,0.000007695535,0.000008952502,0.000017153161,0.00263554],"genre_scores_gemma":[0.0019187554,0.99537945,0.0006172272,0.0002241161,0.00021933822,0.000011336425,0.000015916577,0.0000027525268,0.0016110964],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99984276,0.00003287247,0.000014887093,0.000025804999,0.00006861752,0.000014944704],"domain_scores_gemma":[0.99976784,0.00010630623,0.000028148126,0.000010748852,0.000063507054,0.000023433853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005793248,0.0007510726,0.0011486887,0.0012782612,0.00037279475,0.0009152823,0.0008327882,0.0016235906,0.0015855583],"category_scores_gemma":[0.0004263107,0.00027002077,0.0002687192,0.0012618954,0.0010988793,0.0017433389,0.0005547479,0.0013286353,0.0022114874],"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":[0.000066199136,0.00006703915,0.00019165625,0.006533954,0.000041401476,0.0003304469,0.00009926613,0.0006698346,0.009346844,0.012244745,0.015450243,0.9549583],"study_design_scores_gemma":[0.000011304476,0.00011260055,0.00086326303,0.0010261876,0.000033507793,0.0017610355,0.000089817855,0.00021877204,0.0031374097,0.004970985,0.9877499,0.00002533596],"about_ca_topic_score_codex":0.0008931226,"about_ca_topic_score_gemma":0.0011762657,"teacher_disagreement_score":0.0016235906,"about_ca_system_score_codex":0.0009971652,"about_ca_system_score_gemma":0.0008171102,"threshold_uncertainty_score":0.0072349906},"labels":[],"label_agreement":null},{"id":"W2048299923","doi":"10.1039/c4mb00410h","title":"Predicting protein–protein interactions between human and hepatitis C virus <i>via</i> an ensemble learning method","year":2014,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Hepatitis a virus; Ensemble learning; Hepatitis C virus; Computational biology; Virology; Computer science; Biology; Virus; Artificial intelligence; Chemistry","score_opus":0.007431449447555957,"score_gpt":0.2756071699961699,"score_spread":0.26817572054861394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048299923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5112697,0.0035489667,0.47725827,0.00051273615,0.00020246982,0.00015363832,0.0015192769,0.0022777976,0.0032571002],"genre_scores_gemma":[0.92173845,0.00064870913,0.0728796,0.00017496174,0.000117783675,0.0000877277,0.0027856792,0.000046857047,0.0015201425],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993799,0.00018985145,0.00004197019,0.00018054417,0.00013145697,0.00007631952],"domain_scores_gemma":[0.9987355,0.00059624156,0.00010937498,0.00012831231,0.00035647413,0.000074069096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001954652,0.0009772102,0.0010672581,0.0014705788,0.00044221725,0.00063011254,0.0008412616,0.00095164665,0.0006344667],"category_scores_gemma":[0.0026338801,0.0002765502,0.0011119399,0.0009171151,0.0002445679,0.0007879993,0.0006174522,0.00090372574,0.0003299526],"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":[0.00037855117,0.00035395983,0.035289343,0.00011519214,0.0006490644,0.00030175952,0.00008714301,0.6396642,0.008456291,0.0007894742,0.0049491907,0.3089659],"study_design_scores_gemma":[0.0000036881142,0.000037755624,0.0014914821,0.0000053919007,0.000031887834,0.000029888019,0.0000074316604,0.997006,0.00080756703,0.00033404,0.00023944677,0.000005377035],"about_ca_topic_score_codex":0.005353019,"about_ca_topic_score_gemma":0.004759469,"teacher_disagreement_score":0.005353019,"about_ca_system_score_codex":0.00044546995,"about_ca_system_score_gemma":0.00060327916,"threshold_uncertainty_score":0.01064378},"labels":[],"label_agreement":null},{"id":"W2050585817","doi":"10.1039/b918205e","title":"<i>De</i>   <i>novo</i> helical peptides as target sequences for a specific, fluorogenic proteinlabelling strategy","year":2010,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Click Chemistry and Applications","field":"Chemistry","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Labelling; Computational biology; Peptide; Biology; Biochemistry; Chemistry","score_opus":0.011982525302983046,"score_gpt":0.258206096639866,"score_spread":0.24622357133688294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050585817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7711295,0.004552185,0.19443078,0.000853577,0.00041645888,0.00078105525,0.0021247598,0.0010979747,0.024613805],"genre_scores_gemma":[0.84775424,0.0053638066,0.12711823,0.0009964431,0.00010235818,0.0006745916,0.0019778728,0.0002510799,0.01576131],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985445,0.000026975771,0.000016880442,0.000032887405,0.000040024937,0.000028729584],"domain_scores_gemma":[0.99987876,0.000018961218,0.00003982024,0.000017529823,0.000022189357,0.000022725357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027472485,0.00038431643,0.00023326415,0.00015541227,0.00016002877,0.000269399,0.0003430327,0.00028901285,0.0017145054],"category_scores_gemma":[0.0002002079,0.00018393376,0.00016168326,0.00016829517,0.00018031971,0.0003286607,0.00018395147,0.000697923,0.0015086533],"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":[0.000067000976,0.000017861483,0.00005152417,0.00007644437,0.000002599511,0.000050268158,0.000017819018,0.00014182228,0.9956506,0.00056505186,0.00025698481,0.0031020215],"study_design_scores_gemma":[0.000007257821,0.00008275846,0.00011384855,0.0000035375774,0.000003172988,0.00013347834,0.0000050460353,0.0003882656,0.9934644,0.000071444985,0.00572249,0.0000043081786],"about_ca_topic_score_codex":0.00019922739,"about_ca_topic_score_gemma":0.00036198806,"teacher_disagreement_score":0.0017145054,"about_ca_system_score_codex":0.00037739085,"about_ca_system_score_gemma":0.00019060369,"threshold_uncertainty_score":0.005735576},"labels":[],"label_agreement":null},{"id":"W2050761990","doi":"10.1039/c2mb25040c","title":"Genome-scale genetic manipulation methods for exploring bacterial molecular biology","year":2012,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Biology; Genome; Gene; Computational biology; Bacteria; Bacterial genome size; Genetics; Escherichia coli; Microbial genetics","score_opus":0.07591542757599361,"score_gpt":0.35833537106992536,"score_spread":0.28241994349393174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050761990","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":[0.00063590275,0.9864891,0.0078441175,0.00033595602,0.00035623505,0.000037907535,0.00009753977,0.00009037875,0.0041129272],"genre_scores_gemma":[0.0021193123,0.98768485,0.0076345326,0.00021185233,0.0001323256,0.000048881393,0.00018699862,0.00001775654,0.0019635207],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994529,0.000065094326,0.000038936752,0.00010925102,0.00029889095,0.000034830256],"domain_scores_gemma":[0.9996001,0.00017197328,0.00006193884,0.00004040598,0.000092420196,0.00003304621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009169609,0.0014788982,0.001815604,0.0031392018,0.00040785703,0.0012131197,0.0015171291,0.0014006216,0.0028831242],"category_scores_gemma":[0.00068114256,0.0004921392,0.0007096129,0.0033507373,0.0012185896,0.0017476727,0.0010951943,0.002311005,0.0058855284],"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":[0.000046783618,0.00010243283,0.00019866081,0.013380385,0.00007005226,0.00027993124,0.00008786069,0.0006844513,0.07557339,0.0150330635,0.015737353,0.8788057],"study_design_scores_gemma":[0.000014968348,0.000098862925,0.0005791946,0.0010613592,0.00007280413,0.0012818355,0.000052277115,0.00024367998,0.018854637,0.0047614295,0.9729328,0.000046113237],"about_ca_topic_score_codex":0.0006629015,"about_ca_topic_score_gemma":0.0007395708,"teacher_disagreement_score":0.0031392018,"about_ca_system_score_codex":0.0008562017,"about_ca_system_score_gemma":0.0010128297,"threshold_uncertainty_score":0.009645045},"labels":[],"label_agreement":null},{"id":"W2053391922","doi":"10.1039/b921106c","title":"Signal sequence as a determinant in expressing disulfide-stabilized single chain antibody variable fragments (sc-dsFv) against human VEGF","year":2010,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Defence Medical Centre","funders":"National Health Research Institutes; Genomics Research Center, Academia Sinica; National Science Council","keywords":"Phagemid; Phage display; Fusion protein; Peptide sequence; Biology; Molecular biology; Bacteriophage; Recombinant DNA; Biochemistry; Peptide; Gene","score_opus":0.024325596055543377,"score_gpt":0.3405825451078295,"score_spread":0.31625694905228613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053391922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883554,0.00073086034,0.010090582,0.0000336354,0.00001470211,0.000040598236,0.00010725691,0.0000389907,0.00058789406],"genre_scores_gemma":[0.98131573,0.00052023,0.016738014,0.0000305115,0.0000064930773,0.000022856635,0.00030490456,0.000018173921,0.0010429636],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999853,0.000026823658,0.000015207416,0.000026906311,0.000059533537,0.000018487146],"domain_scores_gemma":[0.99993694,0.000009006728,0.000022730233,0.000005023403,0.000011207857,0.000015089129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016614632,0.00030808622,0.00016589224,0.00019562023,0.00009834715,0.00031260838,0.00020224608,0.00018353485,0.0002662323],"category_scores_gemma":[0.0001395268,0.000119934455,0.00017359843,0.00023277647,0.00012053878,0.00014585798,0.00019378604,0.00035654518,0.00017199118],"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":[0.00002304307,0.000009596386,0.00010220528,0.000014705332,0.000002020837,0.000023804687,0.0000049280097,0.00011665577,0.99894387,0.000061309336,0.0000072344806,0.0006906572],"study_design_scores_gemma":[0.0000044869835,0.0001228019,0.00055556535,0.0000023733933,0.000012188535,0.00012377201,0.000008130341,0.0009897291,0.9971499,0.000015009035,0.0010138358,0.0000021935357],"about_ca_topic_score_codex":0.00044166954,"about_ca_topic_score_gemma":0.00080161064,"teacher_disagreement_score":0.00044166954,"about_ca_system_score_codex":0.00031287462,"about_ca_system_score_gemma":0.0002493723,"threshold_uncertainty_score":0.0022701025},"labels":[],"label_agreement":null},{"id":"W2054328264","doi":"10.1039/b814377c","title":"High throughput methods of assessing protein stability and aggregation","year":2008,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"Enzyme Structure and Function","field":"Materials Science","cited_by":119,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Structural Genomics Consortium","funders":"Wellcome Trust","keywords":"Protein aggregation; Denaturation (fissile materials); Protein stability; Protein crystallization; Chemistry; Crystallization; Biophysics; Dynamic light scattering; Drug discovery; Chromatography; Biochemistry; Nanotechnology; Materials science; Biology; Organic chemistry; Nanoparticle","score_opus":0.046124193080817145,"score_gpt":0.3535256206516471,"score_spread":0.30740142757082994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054328264","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":[0.0018556385,0.93580955,0.05262352,0.00071048725,0.00065460557,0.00015116952,0.00025830395,0.0002584222,0.007678347],"genre_scores_gemma":[0.010579924,0.93963856,0.039684933,0.0004462486,0.0004115801,0.00039179166,0.00037808876,0.0000412486,0.008427645],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99824274,0.0002146909,0.000089623136,0.00035059676,0.001037212,0.00006512398],"domain_scores_gemma":[0.9989225,0.00035700618,0.00015012085,0.000093105,0.00044113334,0.00003611445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022457358,0.0015952984,0.002066827,0.0041419086,0.00038581435,0.001314187,0.0023405333,0.0015958257,0.0018599498],"category_scores_gemma":[0.0015028872,0.0006501253,0.0006078818,0.0027326464,0.0011269652,0.0019286135,0.0008345879,0.0018629353,0.0037804923],"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":[0.0000723278,0.0001264012,0.00047714775,0.0061071855,0.00007954101,0.00018284011,0.000094866235,0.0011034954,0.08565942,0.012402473,0.012783411,0.88091093],"study_design_scores_gemma":[0.000025742878,0.0003055619,0.0023861108,0.001061256,0.00012937404,0.0027987238,0.00012053973,0.0016521701,0.15592445,0.008561555,0.82690024,0.00013422246],"about_ca_topic_score_codex":0.0009756358,"about_ca_topic_score_gemma":0.0010163796,"teacher_disagreement_score":0.0041419086,"about_ca_system_score_codex":0.001409016,"about_ca_system_score_gemma":0.0009456313,"threshold_uncertainty_score":0.011876762},"labels":[],"label_agreement":null},{"id":"W2055226297","doi":"10.1039/c2mb25102g","title":"More than just tails: intrinsic disorder in histone proteins","year":2012,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":119,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Russian Academy of Sciences; Alberta Innovates","keywords":"Intrinsically disordered proteins; Histone; Biology; Computational biology; Nucleic acid; Non-histone protein; DNA; Cell biology; Genetics; Biochemistry","score_opus":0.006312572356138476,"score_gpt":0.2514933971748138,"score_spread":0.2451808248186753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055226297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97971535,0.004364871,0.011630889,0.0002696146,0.000043117314,0.000009148559,0.0012037171,0.00029078097,0.0024724444],"genre_scores_gemma":[0.99321645,0.0008216634,0.003301557,0.00019585072,0.000035443612,0.000005004997,0.0012954434,0.00005458786,0.0010739637],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99986887,0.000011907749,0.000010852472,0.000049032897,0.000038420574,0.00002094328],"domain_scores_gemma":[0.9994723,0.00011474565,0.00019524236,0.00007663993,0.000055153367,0.00008592446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014755805,0.00018834686,0.00031389465,0.00061189,0.00038645905,0.000460221,0.00019063932,0.00023365747,0.0010834045],"category_scores_gemma":[0.0005959677,0.00010802505,0.00024898053,0.00082553324,0.0003939166,0.0006524716,0.00030625972,0.00031440737,0.00047888941],"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":[0.0014845297,0.00013953776,0.23363827,0.0007066875,0.0003576959,0.0020670989,0.0006360464,0.005692456,0.6704041,0.010138227,0.003337218,0.071398124],"study_design_scores_gemma":[0.00008035042,0.0006173341,0.559431,0.00017681571,0.0006293964,0.01524012,0.0011615752,0.035603534,0.27331573,0.053416654,0.060116135,0.00021137603],"about_ca_topic_score_codex":0.00073333766,"about_ca_topic_score_gemma":0.0011967819,"teacher_disagreement_score":0.0010834045,"about_ca_system_score_codex":0.00019121403,"about_ca_system_score_gemma":0.00019711998,"threshold_uncertainty_score":0.00362432},"labels":[],"label_agreement":null},{"id":"W2062364627","doi":"10.1039/c4mb00700j","title":"An integrated metabolomics approach for the research of new cerebrospinal fluid biomarkers of multiple sclerosis","year":2015,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Excellence in Mining Innovation","funders":"Ministero della Salute; Fondazione Italiana Sclerosi Multipla","keywords":"Multiple sclerosis; Metabolomics; Lipidomics; Cerebrospinal fluid; Disease; Biomarker discovery; Myelin; Medicine; Bioinformatics; Computational biology; Chemistry; Proteomics; Biology; Internal medicine; Immunology; Biochemistry; Central nervous system","score_opus":0.242831453175347,"score_gpt":0.3798221349857693,"score_spread":0.1369906818104223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062364627","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":[0.19597737,0.0066858586,0.7902609,0.00048402368,0.00009241101,0.00046092842,0.0022705246,0.0017223277,0.0020456072],"genre_scores_gemma":[0.41167197,0.003522513,0.58070284,0.00027799982,0.00009343273,0.0004822105,0.0018311988,0.00015142983,0.0012664549],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999689,0.00008955395,0.000021320804,0.00009817321,0.0000703652,0.000031698994],"domain_scores_gemma":[0.9997924,0.00006457945,0.00003660659,0.000019770274,0.00006192111,0.00002470834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010128287,0.0010407561,0.0011059985,0.0028606744,0.00027474185,0.0011843449,0.00053170224,0.0005769856,0.0014411034],"category_scores_gemma":[0.0008739254,0.00034062364,0.001105056,0.002191665,0.0002446416,0.00077090564,0.00090325443,0.0006358196,0.00039860464],"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":[0.0016270033,0.0007611117,0.021576624,0.0010653484,0.002038226,0.00053073186,0.00023577466,0.024646709,0.6319411,0.0036290977,0.0010062611,0.31094214],"study_design_scores_gemma":[0.00019740648,0.0030414122,0.12550764,0.00018134623,0.0022341446,0.001520419,0.00065077114,0.6853475,0.14212435,0.02508079,0.013779157,0.0003351122],"about_ca_topic_score_codex":0.0017635009,"about_ca_topic_score_gemma":0.0025459367,"teacher_disagreement_score":0.0028606744,"about_ca_system_score_codex":0.00042376315,"about_ca_system_score_gemma":0.0007987726,"threshold_uncertainty_score":0.005356431},"labels":[],"label_agreement":null},{"id":"W2064274220","doi":"10.1039/c0mb00329h","title":"Receptor domains of two-component signal transduction systems","year":2011,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Histidine kinase; Signal transduction; Two-component regulatory system; Biology; Component (thermodynamics); Cell biology; Computational biology; Receptor; Kinase; Function (biology); Biochemistry; Histidine; Gene; Amino acid","score_opus":0.019460715369891288,"score_gpt":0.26098136752957596,"score_spread":0.24152065215968466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064274220","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":[0.0015278995,0.98252225,0.0038778684,0.0003479193,0.00037407043,0.000033031487,0.00006704015,0.000059002927,0.011190917],"genre_scores_gemma":[0.010333281,0.9770204,0.0038876063,0.00046910744,0.00021431943,0.000055279663,0.00015600146,0.000010430825,0.0078536],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997273,0.000032186217,0.000025960378,0.00006937228,0.000113749644,0.00003146537],"domain_scores_gemma":[0.999871,0.00005281934,0.00002094744,0.000007195974,0.00003558403,0.000012347469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033410147,0.0009324529,0.0010446074,0.0014415098,0.0002679461,0.0011127706,0.0010384213,0.0012812531,0.0025891145],"category_scores_gemma":[0.00034261274,0.00038645853,0.00044578983,0.0013095539,0.0007162638,0.0014253326,0.0005315104,0.0017346042,0.0038951258],"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":[0.000116967014,0.0000897874,0.0001973249,0.014633962,0.00006288667,0.0005183393,0.00015457443,0.0015371344,0.07060909,0.05499767,0.014715327,0.84236705],"study_design_scores_gemma":[0.000018916246,0.00007733303,0.00035267763,0.0006708026,0.00003551203,0.001605578,0.00004365697,0.0003062527,0.013893038,0.0052445754,0.9777213,0.000030248204],"about_ca_topic_score_codex":0.0006834884,"about_ca_topic_score_gemma":0.0005001954,"teacher_disagreement_score":0.0025891145,"about_ca_system_score_codex":0.0010134773,"about_ca_system_score_gemma":0.0005977916,"threshold_uncertainty_score":0.008661449},"labels":[],"label_agreement":null},{"id":"W2068400392","doi":"10.1039/b606798k","title":"Proteomics technology in systems biology","year":2006,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":37,"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 Ottawa","funders":"","keywords":"Proteomics; Systems biology; Data science; Biology; Genomics; Computer science; Engineering ethics; Computational biology; Engineering; Genome","score_opus":0.017462099065166117,"score_gpt":0.3222850980917487,"score_spread":0.3048229990265826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068400392","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":[0.00042193788,0.94082147,0.02647042,0.0041311113,0.0035995767,0.00008977226,0.000081106344,0.00031555022,0.024069032],"genre_scores_gemma":[0.008391853,0.9298615,0.032649983,0.0050172014,0.0042253784,0.00026926683,0.00017737821,0.000088415196,0.019318921],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980869,0.00046313272,0.00012264821,0.00039600622,0.00083053694,0.00010084025],"domain_scores_gemma":[0.9991628,0.00041613317,0.000055780365,0.00012035248,0.00017423976,0.00007071178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024886099,0.0018240884,0.0024988104,0.0028420947,0.0011567848,0.0037233445,0.0019687759,0.0032655583,0.0058582304],"category_scores_gemma":[0.0013323157,0.0006676634,0.00086819316,0.0038714958,0.00458818,0.005479402,0.002548344,0.0049841967,0.010890332],"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":[0.00006516788,0.00009379397,0.00022020079,0.007996019,0.000121589495,0.00058856444,0.0004971041,0.001064493,0.009254921,0.3046188,0.076947056,0.59853226],"study_design_scores_gemma":[0.0000110056735,0.000059354537,0.00011420719,0.0007334901,0.000015339492,0.0007050936,0.00005321775,0.00022902525,0.0018091766,0.05804167,0.938202,0.000026293294],"about_ca_topic_score_codex":0.0008700896,"about_ca_topic_score_gemma":0.0005072506,"teacher_disagreement_score":0.0058582304,"about_ca_system_score_codex":0.00247452,"about_ca_system_score_gemma":0.0023807464,"threshold_uncertainty_score":0.019597769},"labels":[],"label_agreement":null},{"id":"W2069098510","doi":"10.1039/c1mb05235g","title":"An omics perspective of protein disorder","year":2011,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Proteome; Omics; Computational biology; Perspective (graphical); Biology; Genome; Data science; Computer science; Bioinformatics; Genetics; Artificial intelligence; Gene","score_opus":0.01351256468507297,"score_gpt":0.27290324756855816,"score_spread":0.2593906828834852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069098510","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":[0.000064481654,0.99355894,0.00090478966,0.002706267,0.0007722325,0.000003948771,0.00001858358,0.00001315331,0.0019577118],"genre_scores_gemma":[0.00110674,0.9930079,0.0010402825,0.0021622584,0.0013282204,0.000010502128,0.000028085515,0.000005465606,0.0013105852],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99950147,0.0001492967,0.000050616665,0.00007854727,0.00018640724,0.00003374689],"domain_scores_gemma":[0.99873847,0.0007846782,0.00008436649,0.00006288526,0.0002554177,0.00007424952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015117286,0.0013562138,0.0015179833,0.0037982808,0.00051520724,0.0021903391,0.0012385477,0.0022318538,0.0027515052],"category_scores_gemma":[0.001542858,0.00033762568,0.0006488112,0.0034601288,0.0030355006,0.0043527335,0.0015050976,0.0043594046,0.0022037819],"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":[0.00007510494,0.000069037655,0.00039957053,0.011584385,0.00020708285,0.00084846164,0.00034812582,0.0010161534,0.0025805868,0.12046722,0.102266684,0.76013756],"study_design_scores_gemma":[0.000006648437,0.000030235045,0.0003837609,0.0019418746,0.000030958545,0.0015485947,0.00009547414,0.0001368512,0.0003650305,0.028540421,0.9669018,0.000018398268],"about_ca_topic_score_codex":0.0015582518,"about_ca_topic_score_gemma":0.0019241716,"teacher_disagreement_score":0.0037982808,"about_ca_system_score_codex":0.002069492,"about_ca_system_score_gemma":0.001777409,"threshold_uncertainty_score":0.0150152445},"labels":[],"label_agreement":null},{"id":"W2073827739","doi":"10.1039/b708867a","title":"Cap-independent regulation of gene expression in apoptosis","year":2007,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"","keywords":"Internal ribosome entry site; Translation (biology); Cell biology; Biology; Programmed cell death; Protein biosynthesis; Cellular stress response; Apoptosis; Gene expression; Proteome; Integrated stress response; Untranslated region; Eukaryotic translation; Mechanism (biology); Messenger RNA; Gene; Genetics; Fight-or-flight response","score_opus":0.025884450981937566,"score_gpt":0.29126454237699784,"score_spread":0.26538009139506025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073827739","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":[0.0002395412,0.9970673,0.00046134042,0.00018724306,0.00027239186,0.0000043875552,0.00001090556,0.000013110793,0.0017437426],"genre_scores_gemma":[0.0013730053,0.9964405,0.00032169718,0.0001686942,0.00014537248,0.000008287794,0.000021820317,0.0000024150368,0.0015182935],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99987245,0.000018744018,0.000016049804,0.000028997216,0.000049779876,0.000013909992],"domain_scores_gemma":[0.9998672,0.000052509906,0.000020287143,0.0000067761152,0.000039228315,0.000014049665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037279012,0.00075607066,0.001186584,0.0012928803,0.00032132716,0.00080706325,0.00080246705,0.0011239937,0.002020471],"category_scores_gemma":[0.00029140367,0.00031739986,0.00027755953,0.00137534,0.000761398,0.001098807,0.0005888619,0.0013186936,0.002837849],"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":[0.00011915248,0.00006252554,0.00020676067,0.010247995,0.000056175853,0.0006569456,0.00010830121,0.0006860767,0.015150179,0.012175274,0.022712614,0.93781805],"study_design_scores_gemma":[0.000020174197,0.00008237287,0.000820596,0.0010944839,0.000040837225,0.002271763,0.000064166255,0.00013000639,0.004377115,0.005065205,0.9860136,0.000019700117],"about_ca_topic_score_codex":0.00048385255,"about_ca_topic_score_gemma":0.0008462359,"teacher_disagreement_score":0.002020471,"about_ca_system_score_codex":0.0007378454,"about_ca_system_score_gemma":0.0005734753,"threshold_uncertainty_score":0.0067591667},"labels":[],"label_agreement":null},{"id":"W2077107387","doi":"10.1039/c4mb00561a","title":"Mathematical modeling of the <i>apo</i> and <i>holo</i> transcriptional regulation in <i>Escherichia coli</i>","year":2015,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Biotech (Canada); University of British Columbia","funders":"","keywords":"Escherichia coli; Escherichia coli Proteins; Computational biology; Chemistry; Biology; Biochemistry; Gene","score_opus":0.013974987152425924,"score_gpt":0.2147017694667125,"score_spread":0.20072678231428656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077107387","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":[0.39341483,0.0016553323,0.5227381,0.0026157685,0.00013119254,0.000107678876,0.0009768574,0.00034539832,0.07801486],"genre_scores_gemma":[0.9525934,0.00077296817,0.024363872,0.00027111635,0.000040849653,0.0003509279,0.00027819994,0.00009898999,0.021229668],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983656,0.000046226916,0.000007924665,0.00003271034,0.000041606152,0.000035046916],"domain_scores_gemma":[0.9994467,0.00028128366,0.00012606673,0.000028259106,0.00008447383,0.00003325655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005012598,0.0006429943,0.0005830867,0.00053977483,0.00035797784,0.0012378654,0.0009784685,0.0015014933,0.0021421707],"category_scores_gemma":[0.0011492956,0.00035043008,0.0009590865,0.00039552164,0.0009858378,0.00067631254,0.0007255255,0.00075433234,0.00043532773],"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":[0.000024058712,0.000028880919,0.0004965033,0.00004076846,0.0000142909985,0.00006746133,0.000055300723,0.9578101,0.003671302,0.036279574,0.0002815713,0.0012302641],"study_design_scores_gemma":[0.0000051368083,0.000010084997,0.00015833693,0.00000452543,0.000005195179,0.000009285738,0.000012023242,0.99504143,0.00017842292,0.004224332,0.0003452093,0.000005981343],"about_ca_topic_score_codex":0.0075765494,"about_ca_topic_score_gemma":0.0034192773,"teacher_disagreement_score":0.0075765494,"about_ca_system_score_codex":0.0011113976,"about_ca_system_score_gemma":0.0007680316,"threshold_uncertainty_score":0.015064895},"labels":[],"label_agreement":null},{"id":"W2079372780","doi":"10.1039/b719826d","title":"Accurate measurements of protein interactions in cells <i>via</i> improved spatial image cross-correlation spectroscopy","year":2008,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; University of Virginia","keywords":"Fluorescence correlation spectroscopy; Measure (data warehouse); Spatial correlation; Biological system; Colocalization; Microscopy; Spectroscopy; Physics; Correlation; Fluorescence; Pixel; Spatial analysis; Computer science; Optics; Mathematics; Statistics; Biology; Data mining; Geometry","score_opus":0.013008187493548947,"score_gpt":0.2929469685399158,"score_spread":0.2799387810463669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079372780","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":[0.384009,0.005977168,0.6019021,0.0006934801,0.00020040415,0.00015952442,0.0007715099,0.0020296387,0.0042571607],"genre_scores_gemma":[0.58618194,0.005606289,0.40407127,0.00046536597,0.00013507245,0.00046036206,0.0007310908,0.00020289505,0.0021455907],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99896944,0.0002332976,0.00006886058,0.00020125574,0.0004310868,0.00009605289],"domain_scores_gemma":[0.9984339,0.0006109356,0.00028939056,0.00022754095,0.0003606924,0.00007763302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012530568,0.0005997199,0.0006788649,0.0009437766,0.0003704016,0.0008020607,0.00074241834,0.00080212177,0.00074185326],"category_scores_gemma":[0.0018435637,0.000392553,0.00029647222,0.00072301034,0.0007778143,0.00081237353,0.0006676106,0.0016980692,0.0004836591],"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":[0.00004344018,0.000031272648,0.00079809426,0.000091361006,0.000013602543,0.0000634452,0.000052328945,0.0011734483,0.9869235,0.0008641109,0.00033215608,0.0096131945],"study_design_scores_gemma":[0.000007682464,0.00010605576,0.005849021,0.000013478282,0.000024628256,0.00023035656,0.000038836282,0.024178194,0.9653193,0.00040662795,0.0037917437,0.000033992437],"about_ca_topic_score_codex":0.0017278609,"about_ca_topic_score_gemma":0.0024904818,"teacher_disagreement_score":0.0017278609,"about_ca_system_score_codex":0.0006676592,"about_ca_system_score_gemma":0.0005262621,"threshold_uncertainty_score":0.0066268444},"labels":[],"label_agreement":null},{"id":"W2080094927","doi":"10.1039/c4mb00526k","title":"Investigating the functional implications of reinforcing feedback loops in transcriptional regulatory networks","year":2014,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Occupational Cancer Research Centre; Canadian Sugar Institute; University of Toronto","funders":"","keywords":"Network motif; Gene regulatory network; Computational biology; microRNA; Biology; Systems biology; Transcription factor; Positive feedback; Epigenetics; Regulation of gene expression; Computer science; Gene; Biological network; Genetics; Gene expression","score_opus":0.0092181487460618,"score_gpt":0.20571205866214992,"score_spread":0.19649390991608812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080094927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9074585,0.0003181472,0.09018664,0.0002269179,0.000011272899,0.000023474851,0.000077628494,0.00015655582,0.0015408507],"genre_scores_gemma":[0.994197,0.00009870594,0.0054316577,0.000012340189,0.0000043235304,0.000016359729,0.000038798018,0.00001079546,0.00019008639],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997254,0.00009849959,0.000013662427,0.00007115006,0.00004937279,0.0000418452],"domain_scores_gemma":[0.99719775,0.002000115,0.0003803115,0.000127151,0.00017698648,0.00011763537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009388693,0.00030330344,0.0002791359,0.000467576,0.00032323797,0.00045506094,0.00052380515,0.000530918,0.0010719013],"category_scores_gemma":[0.0052778777,0.0002404289,0.00040046044,0.00024228873,0.00082600064,0.0012342904,0.00040619788,0.00047943863,0.000068418696],"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":[0.00047771717,0.00016503954,0.024393316,0.00037724533,0.0001585117,0.0005306969,0.00041798572,0.7348374,0.11075056,0.09713954,0.00035466783,0.030397303],"study_design_scores_gemma":[0.000015471103,0.00007625819,0.002761223,0.000008367577,0.000024924308,0.00007522773,0.0000626312,0.9631763,0.006804258,0.026634624,0.0003471247,0.000013552753],"about_ca_topic_score_codex":0.0014977996,"about_ca_topic_score_gemma":0.0010305856,"teacher_disagreement_score":0.0014977996,"about_ca_system_score_codex":0.000574529,"about_ca_system_score_gemma":0.0003607876,"threshold_uncertainty_score":0.0049652457},"labels":[],"label_agreement":null},{"id":"W2081215964","doi":"10.1039/c3mb70493a","title":"Electrochemical detection of the Fc-STAT3 phosphorylation and STAT3–Fc-STAT3 dimerization and inhibition","year":2013,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Chemical Synthesis and Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dairy Farmers of Ontario; The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"STAT protein; STAT3; Chemistry; Ferrocene; Electrochemistry; Redox; Activator (genetics); Phosphorylation; Biophysics; Biochemistry; Cell biology; Combinatorial chemistry; Biology; Receptor; Electrode; Inorganic chemistry","score_opus":0.0019610444377032837,"score_gpt":0.17085657811517105,"score_spread":0.16889553367746776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081215964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7814894,0.012292464,0.19500007,0.0010333101,0.00041922735,0.00021477339,0.0013051791,0.0006673791,0.0075781886],"genre_scores_gemma":[0.9080115,0.0060988152,0.078402594,0.00059663353,0.000070071386,0.00033355705,0.00082748453,0.000028010105,0.00563131],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993862,0.00015146608,0.000028690944,0.00012021992,0.00023003892,0.000083305276],"domain_scores_gemma":[0.99976784,0.00009463263,0.000038381975,0.000016436283,0.000054637745,0.00002812293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006110246,0.00052666833,0.00035436067,0.0002214259,0.0002117125,0.00022685013,0.0006802674,0.000978399,0.0011079838],"category_scores_gemma":[0.00064127735,0.0002370388,0.00031293996,0.00045302053,0.000280597,0.00025085267,0.00029970033,0.00086637225,0.00035668132],"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":[0.000035803918,0.000019707966,0.0001158856,0.00005401005,0.000009393051,0.00001916038,0.000016352351,0.000060250495,0.99721944,0.00014325543,0.000085861284,0.0022208686],"study_design_scores_gemma":[0.000008354399,0.000106632026,0.001075193,0.0000057158068,0.000013833237,0.00011500581,0.000022893315,0.0023612473,0.9950059,0.000094366376,0.0011859104,0.0000049447835],"about_ca_topic_score_codex":0.00054475095,"about_ca_topic_score_gemma":0.0012096836,"teacher_disagreement_score":0.0011079838,"about_ca_system_score_codex":0.00048219317,"about_ca_system_score_gemma":0.00024031433,"threshold_uncertainty_score":0.0037065744},"labels":[],"label_agreement":null},{"id":"W2083498261","doi":"10.1039/c4mb00027g","title":"The intrinsic disorder status of the human hepatitis C virus proteome","year":2014,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Hepatitis C virus research","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Proteome; Hepatitis a virus; Human proteome project; Hepatitis C virus; Biology; Virology; Virus; Computational biology; Proteomics; Bioinformatics; Genetics; Gene","score_opus":0.01092025791855009,"score_gpt":0.2824338248765707,"score_spread":0.2715135669580206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083498261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99762744,0.0005798835,0.0010678209,0.00002882242,0.000002800245,0.000003469144,0.00034237804,0.000021138358,0.0003262529],"genre_scores_gemma":[0.9972178,0.00032686623,0.001427595,0.00001646722,0.0000054968136,0.000005854381,0.0008477966,0.00000779795,0.00014428033],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99989176,0.000017864093,0.000010364057,0.0000278929,0.000033900895,0.00001819608],"domain_scores_gemma":[0.99975985,0.000048479986,0.00009444624,0.000016755655,0.000044127468,0.000036409558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015831269,0.00014916754,0.00016826822,0.00086976844,0.0002782431,0.00032779173,0.00008316809,0.00013852988,0.00034609964],"category_scores_gemma":[0.000451096,0.00007927815,0.00018325227,0.00063676294,0.00021821418,0.00026806924,0.00022761102,0.00014260363,0.00009253622],"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":[0.0006258107,0.00004648916,0.13631354,0.00024649894,0.00014720528,0.00063140836,0.00042652045,0.0021587347,0.84192735,0.0009103243,0.0003532982,0.016212886],"study_design_scores_gemma":[0.00001562748,0.00029665884,0.81726044,0.0000348862,0.0001517182,0.0044950773,0.0006374157,0.026938958,0.14395213,0.0019758076,0.0041888724,0.0000523305],"about_ca_topic_score_codex":0.0008124634,"about_ca_topic_score_gemma":0.00088916626,"teacher_disagreement_score":0.00086976844,"about_ca_system_score_codex":0.00019120637,"about_ca_system_score_gemma":0.00017515286,"threshold_uncertainty_score":0.0016154647},"labels":[],"label_agreement":null},{"id":"W2084881641","doi":"10.1039/c2mb25118c","title":"Combining redox-proteomics and epigenomics to explain the involvement of oxidative stress in psychiatric disorders","year":2012,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"Tryptophan and brain disorders","field":"Neuroscience","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Oxidative stress; Epigenetics; Epigenomics; Schizophrenia (object-oriented programming); Proteomics; DNA methylation; Bipolar disorder; Bioinformatics; DNA damage; Psychiatry; Biology; Neuroscience; Computational biology; Medicine; DNA; Genetics; Biochemistry; Gene; Cognition","score_opus":0.036569112776316866,"score_gpt":0.28745458452933315,"score_spread":0.2508854717530163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084881641","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":[0.0003239695,0.9972681,0.0009640881,0.00040854924,0.00012847263,0.0000063713087,0.000014505518,0.000008463972,0.00087743095],"genre_scores_gemma":[0.0018649822,0.9958689,0.0012169989,0.0001940567,0.00013919648,0.000008110935,0.000023984763,0.0000017058188,0.00068210403],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99990857,0.000022185448,0.000011590354,0.000019801633,0.000029243572,0.000008672044],"domain_scores_gemma":[0.999879,0.00005964107,0.000018524266,0.0000047731855,0.00002871643,0.000009308307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004814186,0.0009243191,0.0009619142,0.0018507711,0.00020082254,0.00059331587,0.0008408445,0.0012924309,0.0017385532],"category_scores_gemma":[0.00034376603,0.00024048849,0.00044177525,0.0011320728,0.0005180316,0.0013251449,0.00063260307,0.001241445,0.0011605086],"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":[0.00007615989,0.00007027871,0.0008552192,0.016970243,0.00021165214,0.00092561333,0.00014518572,0.00082064874,0.011874273,0.011976675,0.011363846,0.9447102],"study_design_scores_gemma":[0.000024349474,0.00019714641,0.0054018893,0.004488273,0.00029331507,0.0073155896,0.00029453496,0.00088816584,0.006210147,0.025053173,0.94976616,0.00006732601],"about_ca_topic_score_codex":0.00084753224,"about_ca_topic_score_gemma":0.0014475053,"teacher_disagreement_score":0.0018507711,"about_ca_system_score_codex":0.00055562955,"about_ca_system_score_gemma":0.0006071803,"threshold_uncertainty_score":0.0058160424},"labels":[],"label_agreement":null},{"id":"W2088585163","doi":"10.1039/b905580k","title":"Phosphoproteomics—finally fulfilling the promise?","year":2009,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; Royal Society of Chemistry; Royal Society","keywords":"Phosphoproteomics; Phosphopeptide; Protein phosphorylation; Phosphorylation; Signal transduction; Computational biology; Posttranslational modification; Biology; Proteomics; Phosphoserine; Proteome; Biochemistry; Serine; Chemistry; Cell biology; Protein kinase A","score_opus":0.022182640875363636,"score_gpt":0.30419717468413954,"score_spread":0.2820145338087759,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088585163","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":[0.0001891597,0.9897239,0.0011074991,0.005944519,0.0015298917,0.0000068049735,0.000020251618,0.000035814322,0.0014420701],"genre_scores_gemma":[0.0018807205,0.98778373,0.0016724451,0.0036232066,0.0018409963,0.000014055987,0.00003519774,0.0000128026995,0.00313694],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993765,0.00013310429,0.000048577444,0.00010684628,0.00025806364,0.000076916884],"domain_scores_gemma":[0.99884784,0.00038409227,0.00009287439,0.00007883275,0.00037628305,0.00022005424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037537406,0.0015860323,0.0025883166,0.0018812696,0.00053816615,0.0031497858,0.0022203075,0.003678175,0.0032243442],"category_scores_gemma":[0.0017929511,0.0006057633,0.0006342325,0.002112809,0.0026665574,0.008674608,0.0018596745,0.005327607,0.0051303133],"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":[0.0001845989,0.00010922113,0.00025626086,0.0060466006,0.00014943715,0.0005300924,0.00015281749,0.0005636057,0.0074441833,0.044893928,0.11598855,0.8236807],"study_design_scores_gemma":[0.00002752389,0.000097642296,0.0002530302,0.00065041037,0.000025496403,0.0011904675,0.0001438591,0.00021896309,0.0016828084,0.02168947,0.9739865,0.000033826047],"about_ca_topic_score_codex":0.0010644074,"about_ca_topic_score_gemma":0.0014739465,"teacher_disagreement_score":0.0037537406,"about_ca_system_score_codex":0.0015589277,"about_ca_system_score_gemma":0.0014140058,"threshold_uncertainty_score":0.019851923},"labels":[],"label_agreement":null},{"id":"W2090006012","doi":"10.1039/c0mb00326c","title":"Microarray-based target identification using drug hypersensitive fission yeast expressing ORFeome","year":2011,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Plant Virus Research Studies","field":"Agricultural and Biological Sciences","cited_by":24,"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 Toronto","funders":"","keywords":"Computational biology; Biology; Gene; Etoposide; Small molecule; Microarray analysis techniques; Identification (biology); Genetics; Gene expression","score_opus":0.048517525568907184,"score_gpt":0.2448029321831274,"score_spread":0.19628540661422023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090006012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6258724,0.0019647947,0.3596142,0.00069340173,0.00018704993,0.0003640112,0.0062533803,0.0025520783,0.002498789],"genre_scores_gemma":[0.5764422,0.0023580822,0.4052033,0.0003456519,0.00008163069,0.00080080493,0.009235017,0.00026365064,0.005269703],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99951005,0.00009188714,0.000037770624,0.00015452568,0.00015383695,0.000051923365],"domain_scores_gemma":[0.99964094,0.00014414305,0.00007580052,0.000047194742,0.000047581776,0.000044380366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039652697,0.00068614824,0.0008367706,0.0008008121,0.00039600683,0.00045022226,0.0005330474,0.0004936982,0.0014833855],"category_scores_gemma":[0.00035670682,0.00034975755,0.0005797183,0.0004934335,0.0003244807,0.0003319172,0.00043477555,0.0012242771,0.0009096854],"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":[0.000040825653,0.000012101162,0.000105954394,0.00002368626,0.0000052703112,0.0000128131915,0.0000055405426,0.000050373495,0.99880135,0.000034025303,0.000028137734,0.0008799003],"study_design_scores_gemma":[0.000009053471,0.00013010588,0.0023905064,0.0000040093014,0.000019594216,0.00017591861,0.00002195099,0.0024673515,0.9929844,0.00011324467,0.0016691384,0.00001476463],"about_ca_topic_score_codex":0.0004627103,"about_ca_topic_score_gemma":0.0010088667,"teacher_disagreement_score":0.0014833855,"about_ca_system_score_codex":0.000370049,"about_ca_system_score_gemma":0.00017505787,"threshold_uncertainty_score":0.0049623847},"labels":[],"label_agreement":null},{"id":"W2090543305","doi":"10.1039/c3mb70219g","title":"Chemical and biosynthetic evolution of the antimycin-type depsipeptides","year":2013,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Depsipeptide; Polyketide; Nonribosomal peptide; Biology; Gene cluster; Chemistry; Computational biology; Biochemistry; Enzyme; Stereochemistry; Gene; Biosynthesis","score_opus":0.004968254770856829,"score_gpt":0.19679601550959963,"score_spread":0.1918277607387428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090543305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99020773,0.00083755184,0.0059279026,0.00006797586,0.000009425105,0.000046334026,0.00041361194,0.00003237297,0.0024570017],"genre_scores_gemma":[0.9748674,0.0013704954,0.021440245,0.00005661119,0.000010067633,0.000036980688,0.0007140032,0.000033205277,0.0014710254],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998541,0.000035562836,0.000015581641,0.000032032127,0.000043568507,0.00001908888],"domain_scores_gemma":[0.9998412,0.000031132062,0.000055554774,0.000021897293,0.00002533405,0.000024805975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018630373,0.0002010007,0.00016003243,0.0003527729,0.0001272267,0.00042927024,0.00017387707,0.00019276216,0.0003357868],"category_scores_gemma":[0.00029006266,0.00014366028,0.00016930256,0.00041567028,0.0001443632,0.000266832,0.00022601419,0.00045336285,0.00019030969],"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":[0.00008985474,0.000020130288,0.0009347429,0.000026367206,0.000004965675,0.00007416916,0.000022278564,0.00068366417,0.99100834,0.00042332054,0.00001572489,0.0066964445],"study_design_scores_gemma":[0.000009101244,0.00047053958,0.010127918,0.000009429922,0.000028540442,0.00048025599,0.00007691096,0.0033886316,0.9800844,0.00032383442,0.0049900804,0.000010389884],"about_ca_topic_score_codex":0.00040447147,"about_ca_topic_score_gemma":0.0006253526,"teacher_disagreement_score":0.00042927024,"about_ca_system_score_codex":0.00031051872,"about_ca_system_score_gemma":0.00024355958,"threshold_uncertainty_score":0.0022530556},"labels":[],"label_agreement":null},{"id":"W2091226991","doi":"10.1039/c4mb00088a","title":"Uncovering allosteric pathways in caspase-1 using Markov transient analysis and multiscale community detection","year":2014,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Engineering and Physical Sciences Research Council","keywords":"Allosteric regulation; Markov chain; Computational biology; Allosteric enzyme; Signaling proteins; Chemistry; Computer science; Signal transduction; Biology; Receptor; Biochemistry; Machine learning","score_opus":0.007227546870557943,"score_gpt":0.2150414656889972,"score_spread":0.20781391881843927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091226991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54592794,0.00010557291,0.45216,0.0002832315,0.000012883474,0.000040682193,0.0001041622,0.00034364985,0.001021881],"genre_scores_gemma":[0.9571993,0.000050948624,0.04233656,0.000020251337,0.0000055708224,0.000031233052,0.00006930374,0.000025706757,0.00026113758],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999144,0.00002668945,0.000003923725,0.00001900085,0.000020970896,0.000015019044],"domain_scores_gemma":[0.9994085,0.00034020105,0.00010419979,0.000040978528,0.000044544387,0.00006157845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041866995,0.00028746514,0.00032328727,0.00072345324,0.00034755003,0.00038943047,0.0005282311,0.000566065,0.0007205818],"category_scores_gemma":[0.0015863018,0.00023989333,0.0006188667,0.00032588045,0.0006533861,0.0006409795,0.0006042162,0.00047249396,0.00006746558],"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":[0.00009841172,0.000052864067,0.004053393,0.000050973347,0.000037157854,0.000108106084,0.00008446163,0.9469717,0.024043344,0.014646205,0.00016790873,0.009685454],"study_design_scores_gemma":[0.000002448718,0.000005564268,0.0002749403,7.186946e-7,0.0000013845461,0.000005212044,0.0000041463777,0.9969272,0.00057711935,0.0021715814,0.000026757769,0.0000029736243],"about_ca_topic_score_codex":0.0048622,"about_ca_topic_score_gemma":0.00400287,"teacher_disagreement_score":0.0048622,"about_ca_system_score_codex":0.00083119987,"about_ca_system_score_gemma":0.00060629414,"threshold_uncertainty_score":0.009667754},"labels":[],"label_agreement":null},{"id":"W2093854727","doi":"10.1039/b820820b","title":"The complex biology of autocrine motility factor/phosphoglucose isomerase (AMF/PGI) and its receptor, the gp78/AMFR E3 ubiquitin ligase","year":2009,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":89,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ubiquitin ligase; Biology; Glucose-6-phosphate isomerase; Motility; Autocrine signalling; Cell biology; Receptor; Endoplasmic reticulum; Ubiquitin; Enzyme; Biochemistry; Gene","score_opus":0.04863072479358889,"score_gpt":0.33560753082956657,"score_spread":0.2869768060359777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093854727","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":[0.0004501568,0.9964206,0.00044862018,0.00028119472,0.00020029266,0.000004503792,0.0000115223975,0.0000097544635,0.0021734224],"genre_scores_gemma":[0.0016967572,0.99563855,0.0004745551,0.0001457243,0.00013938503,0.00000557657,0.000025945299,0.0000014736403,0.0018720528],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99991333,0.000012461998,0.000010663908,0.000016588503,0.000037736954,0.000009248412],"domain_scores_gemma":[0.9999291,0.00002266248,0.000014510157,0.0000030220701,0.000019595205,0.000011095401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025540232,0.00067435694,0.00085386913,0.00097308744,0.00024178266,0.0007918042,0.0005579739,0.0008106627,0.0017206833],"category_scores_gemma":[0.00017118067,0.00019051865,0.0002258016,0.0012720398,0.0004777409,0.0012836152,0.00045687822,0.0009218955,0.002085344],"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":[0.00006039978,0.000054943044,0.00026275904,0.006865674,0.00005408535,0.00063642993,0.00008554881,0.0003165465,0.014489577,0.007237337,0.016853781,0.9530828],"study_design_scores_gemma":[0.000009241794,0.00004860119,0.00081274786,0.00060631766,0.000034829103,0.0031827788,0.000075012,0.00006344547,0.0019389689,0.002039232,0.9911752,0.000013601448],"about_ca_topic_score_codex":0.0006197769,"about_ca_topic_score_gemma":0.0008978007,"teacher_disagreement_score":0.0017206833,"about_ca_system_score_codex":0.00059295574,"about_ca_system_score_gemma":0.0006585669,"threshold_uncertainty_score":0.0057563186},"labels":[],"label_agreement":null},{"id":"W2094928744","doi":"10.1039/c1mb05071k","title":"Secretome profiling with antibody microarrays","year":2011,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"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":"Deutscher Akademischer Austauschdienst; Canadian Institute for Theoretical Astrophysics","keywords":"Proteome; Computational biology; Proteomics; DNA microarray; Biology; Antibody microarray; Profiling (computer programming); Biomarker discovery; Protein Array Analysis; Biomarker; Protein microarray; Human proteome project; Human genome; Genome; Bioinformatics; Antibody; Gene expression; Computer science; Gene; Genetics","score_opus":0.023826968226906022,"score_gpt":0.32727284590102773,"score_spread":0.30344587767412173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094928744","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":[0.006817069,0.9490455,0.029865814,0.00089039543,0.00061723025,0.00013839509,0.00053044595,0.00030580736,0.011789488],"genre_scores_gemma":[0.024457328,0.93170494,0.030747565,0.0010161507,0.0004845838,0.00021532117,0.000979232,0.00003064544,0.010364199],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994791,0.00006579029,0.000023449886,0.00010147267,0.00029405608,0.000036072117],"domain_scores_gemma":[0.9997696,0.0000722126,0.00003184482,0.000010320608,0.00010070593,0.000015256756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008282473,0.0010093884,0.0014162422,0.0026419142,0.00016973025,0.0009442276,0.0009880216,0.0009061948,0.0011932913],"category_scores_gemma":[0.0005693742,0.0003724354,0.00048421815,0.0015661847,0.00025819245,0.0010166343,0.0006144974,0.0011293369,0.0024817348],"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":[0.00013308482,0.00008025884,0.00095174444,0.0061319633,0.00013399078,0.00040471714,0.000084346546,0.000685986,0.21614236,0.003939232,0.013075614,0.7582367],"study_design_scores_gemma":[0.000033944652,0.00023572777,0.0052358755,0.0009658186,0.0002106943,0.0035456724,0.00012029283,0.0023914727,0.24150386,0.003509988,0.7421439,0.000102704085],"about_ca_topic_score_codex":0.00035805447,"about_ca_topic_score_gemma":0.0006908821,"teacher_disagreement_score":0.0026419142,"about_ca_system_score_codex":0.00047338006,"about_ca_system_score_gemma":0.00027119467,"threshold_uncertainty_score":0.0043802857},"labels":[],"label_agreement":null},{"id":"W2095212340","doi":"10.1039/c1mb05105a","title":"Metabolic footprinting of the anaerobic bacterium <i>Fusobacterium</i> <i>varium</i> using 1H NMR spectroscopy","year":2011,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Biochemistry; Valine; Glutamine; Amino acid; Glycine; Isoleucine; Biology; Leucine; Chemistry","score_opus":0.017468628477204907,"score_gpt":0.2329709809064857,"score_spread":0.21550235242928079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095212340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916323,0.00038521359,0.006082901,0.00006073623,0.000010958475,0.00001702218,0.00083649217,0.0000676491,0.0009067194],"genre_scores_gemma":[0.9851393,0.0005627148,0.011882565,0.000051649084,0.000007333164,0.000037000966,0.0015362354,0.00003961916,0.0007436628],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988747,0.00001534329,0.00000553395,0.00003102745,0.000032084008,0.00002858639],"domain_scores_gemma":[0.9999329,0.000012003112,0.00002077521,0.000008693147,0.000013310977,0.000012326841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010963198,0.00041676417,0.0002225935,0.00017304248,0.00021109408,0.00020823521,0.00021716165,0.0002640321,0.0004477431],"category_scores_gemma":[0.00014695723,0.00012559953,0.00019768746,0.00024486327,0.00018331133,0.00017784024,0.0003036906,0.00027609602,0.00014882897],"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":[0.00004039396,0.0000035240084,0.00011158917,0.000011279698,0.0000012849079,0.000010360106,0.000006692637,0.000043046948,0.99917126,0.000016522768,0.0000070712745,0.00057707925],"study_design_scores_gemma":[0.000002122252,0.000095712785,0.0028088272,0.0000030023289,0.0000056552653,0.00006086109,0.00002027383,0.00032706765,0.99594504,0.000024113544,0.000702251,0.0000050275085],"about_ca_topic_score_codex":0.002756339,"about_ca_topic_score_gemma":0.0026680594,"teacher_disagreement_score":0.002756339,"about_ca_system_score_codex":0.00032884468,"about_ca_system_score_gemma":0.00021382229,"threshold_uncertainty_score":0.005480647},"labels":[],"label_agreement":null},{"id":"W2098898655","doi":"10.1039/c3mb25516f","title":"Large-scale investigation of oxygen response mutants in <i>Saccharomyces cerevisiae</i>","year":2013,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Hemoglobin structure and function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mutant; Gene; Biology; Saccharomyces cerevisiae; Genetics; Genetic screen; Plasmid; Gene knockdown; Phenotype; Molecular biology","score_opus":0.004754680810105013,"score_gpt":0.2098946834421989,"score_spread":0.20514000263209387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098898655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857383,0.0006269137,0.006806894,0.000100106256,0.000025343506,0.00014047262,0.0051424666,0.00026400908,0.001155454],"genre_scores_gemma":[0.97607917,0.00090931164,0.008804945,0.0001385631,0.000008710498,0.00011819818,0.010416629,0.00019185843,0.003332566],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998803,0.000015340911,0.000016537728,0.000028986111,0.000041158295,0.000017651591],"domain_scores_gemma":[0.9998348,0.00004029977,0.00004104988,0.00002206235,0.000028672197,0.000033073713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015325536,0.00048235382,0.00031438703,0.00039278978,0.0001655754,0.0002628223,0.00025633542,0.00022128067,0.00065500865],"category_scores_gemma":[0.00015925943,0.00016725484,0.0004075774,0.0003922642,0.00016844689,0.000082797276,0.0002473826,0.0003722212,0.0003860535],"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":[0.000037075602,0.00001488744,0.00029336306,0.00001726904,0.000007390982,0.00006593865,0.000009906038,0.000046364086,0.9987853,0.00002486706,0.00003357558,0.0006641726],"study_design_scores_gemma":[0.00001496522,0.00025529915,0.0153191555,0.000007561948,0.000060332386,0.0006418523,0.00007978099,0.00084069825,0.9790077,0.00004472795,0.003717744,0.000010237084],"about_ca_topic_score_codex":0.0024795295,"about_ca_topic_score_gemma":0.0030624135,"teacher_disagreement_score":0.0024795295,"about_ca_system_score_codex":0.00029072852,"about_ca_system_score_gemma":0.00024486118,"threshold_uncertainty_score":0.004930258},"labels":[],"label_agreement":null},{"id":"W2099424814","doi":"10.1039/c0mb00159g","title":"Targeted proteomics by selected reaction monitoring mass spectrometry: applications to systems biology and biomarker discovery","year":2010,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":81,"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 Health Network; University of Toronto; Ontario Institute for Cancer Research","funders":"","keywords":"Proteomics; Proteome; Biomarker discovery; Mass spectrometry; Computational biology; Biomarker; Quantitative proteomics; Profiling (computer programming); Posttranslational modification; Selected reaction monitoring; Chemistry; Biology; Nanotechnology; Bioinformatics; Computer science; Tandem mass spectrometry; Chromatography; Biochemistry; Materials science","score_opus":0.014657579021806429,"score_gpt":0.3126181750545183,"score_spread":0.29796059603271186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099424814","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":[0.00052657287,0.9874313,0.0089137405,0.00032483318,0.00034051444,0.000025861913,0.00004384985,0.000084940235,0.0023083382],"genre_scores_gemma":[0.0022398948,0.9869285,0.008181958,0.00026713422,0.00033642285,0.00003828454,0.0000772298,0.000012607286,0.001917995],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994399,0.000071985705,0.000034961322,0.00011637725,0.0002972965,0.00003955117],"domain_scores_gemma":[0.9996007,0.0001411616,0.00005997074,0.000019481757,0.0001301135,0.000048646027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014736027,0.0016343669,0.0019675668,0.0027243958,0.00031578023,0.0011882676,0.0016580202,0.0016263833,0.0019400951],"category_scores_gemma":[0.0006502009,0.0005232196,0.0005329743,0.0037270077,0.0007812246,0.0019877714,0.0009098268,0.0017280047,0.004801515],"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":[0.000079836005,0.00014096631,0.00019167212,0.00796737,0.000094317285,0.00030388584,0.00005640634,0.00090921996,0.049671184,0.0068640364,0.016556438,0.91716474],"study_design_scores_gemma":[0.00003246122,0.0002632554,0.0007119945,0.0006461964,0.00008576519,0.0024460054,0.00004639423,0.0009981748,0.028394617,0.0065810713,0.95972174,0.00007237673],"about_ca_topic_score_codex":0.0005288271,"about_ca_topic_score_gemma":0.0006063426,"teacher_disagreement_score":0.0027243958,"about_ca_system_score_codex":0.0008033269,"about_ca_system_score_gemma":0.0008114665,"threshold_uncertainty_score":0.0077932477},"labels":[],"label_agreement":null},{"id":"W2100084025","doi":"10.1039/c5mb00415b","title":"Correlations of microRNA:microRNA expression patterns reveal insights into microRNA clusters and global microRNA expression patterns","year":2015,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Hospital Edmonton; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"microRNA; Biology; Computational biology; Gene expression; Regulation of gene expression; Gene silencing; Gene; Messenger RNA; Gene expression profiling; Genetics","score_opus":0.009814313642319454,"score_gpt":0.24346852988855514,"score_spread":0.23365421624623567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100084025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96205556,0.0021739425,0.029738793,0.000093443945,0.000023685998,0.000034096323,0.0015915798,0.00033260603,0.003956209],"genre_scores_gemma":[0.98944014,0.0004466261,0.008170053,0.000044687724,0.000024668623,0.000039355476,0.0011449159,0.00007418553,0.00061534846],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934345,0.00012208051,0.00006116103,0.00025719934,0.00014138418,0.00007469974],"domain_scores_gemma":[0.99869543,0.0004876914,0.00042122492,0.00014583547,0.00015230142,0.00009753427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006207364,0.00029574445,0.00070183555,0.0020940097,0.00021976786,0.0007316223,0.00022350863,0.00028215753,0.0018277159],"category_scores_gemma":[0.0015965877,0.00030098172,0.0003676293,0.0024030644,0.0003484863,0.0005767585,0.00046613257,0.0004917971,0.0009791502],"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":[0.0011446554,0.00010125603,0.2742153,0.00042849057,0.00055217237,0.000612286,0.0005641907,0.0025936477,0.6601984,0.002041365,0.0009860905,0.056562193],"study_design_scores_gemma":[0.000020114498,0.00031461727,0.8993913,0.000026628986,0.00025479795,0.0016904717,0.0004165508,0.01347982,0.076708786,0.003268971,0.004369724,0.00005832247],"about_ca_topic_score_codex":0.0002991548,"about_ca_topic_score_gemma":0.00054972514,"teacher_disagreement_score":0.0020940097,"about_ca_system_score_codex":0.00021705174,"about_ca_system_score_gemma":0.00019584922,"threshold_uncertainty_score":0.006114304},"labels":[],"label_agreement":null},{"id":"W2103107517","doi":"10.1039/b912993f","title":"A miniaturized screen for inhibitors of Jumonji histonedemethylases","year":2009,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":93,"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":"Biotechnology and Biological Sciences Research Council; Canadian Institutes of Health Research; National Institutes of Health; Wellcome Trust","keywords":"High-throughput screening; Demethylation; Biochemistry; Computational biology; Enzyme; Chemistry; Combinatorial chemistry; Biology; Gene; DNA methylation; Gene expression","score_opus":0.008677130551507919,"score_gpt":0.261774529026684,"score_spread":0.2530973984751761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103107517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8175638,0.0056296554,0.15726653,0.00076801673,0.00025409597,0.0028629012,0.006148806,0.0028900534,0.0066162217],"genre_scores_gemma":[0.7534577,0.0055159056,0.20859602,0.00046510503,0.000120851975,0.0026633434,0.012552771,0.00026687895,0.016361352],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992248,0.00012681667,0.000055430846,0.00013802784,0.0003725988,0.00008234147],"domain_scores_gemma":[0.99968374,0.000096161726,0.000047558584,0.00005356894,0.000058607504,0.00006032587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079352263,0.0012617747,0.0014538663,0.0009100036,0.0003068966,0.00063413515,0.0010245753,0.00067501084,0.00165616],"category_scores_gemma":[0.0005947559,0.00052736304,0.0004631754,0.0004789499,0.00033570087,0.00028167962,0.00053677626,0.0010331298,0.00086518755],"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":[0.0000648937,0.00010133619,0.000112221045,0.000049984537,0.000019624711,0.00003433255,0.000010805523,0.0002057748,0.99446726,0.000048238293,0.0001489814,0.0047365814],"study_design_scores_gemma":[0.0000849517,0.0011124943,0.001701687,0.0000065389936,0.00006517934,0.0002331241,0.0000102538215,0.0014291299,0.9914213,0.000025706715,0.0038941232,0.000015594143],"about_ca_topic_score_codex":0.0005969054,"about_ca_topic_score_gemma":0.0021913426,"teacher_disagreement_score":0.00165616,"about_ca_system_score_codex":0.0005098702,"about_ca_system_score_gemma":0.0006329553,"threshold_uncertainty_score":0.0055404305},"labels":[],"label_agreement":null},{"id":"W2106973564","doi":"10.1039/c2mb25265a","title":"qPCA: a scalable assay to measure the perturbation of protein–protein interactions in living cells","year":2012,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; PROTEO","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research","keywords":"Computational biology; Measure (data warehouse); Scalability; Biology; Chemistry; Cell biology; Computer science; Data mining; Database","score_opus":0.009613304608533711,"score_gpt":0.22100403716742759,"score_spread":0.21139073255889387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106973564","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":[0.08993367,0.004606442,0.8803988,0.00085993984,0.00048717676,0.0016021963,0.008973315,0.009129636,0.004008783],"genre_scores_gemma":[0.25732443,0.006631432,0.7103147,0.00054469187,0.00031745306,0.004538913,0.01147761,0.00088141934,0.0079693375],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968586,0.00053029845,0.0001739615,0.0007471684,0.0015251904,0.00016466856],"domain_scores_gemma":[0.9982516,0.00051508704,0.00033937424,0.0003019643,0.00028234994,0.000309493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016309081,0.001800452,0.001916572,0.0027722402,0.0010278295,0.0014335199,0.0028159583,0.0018491133,0.0029843708],"category_scores_gemma":[0.0017267287,0.001001857,0.00093077583,0.0018091955,0.0011517562,0.0013516793,0.0018791954,0.0037770872,0.0022231606],"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":[0.00007390487,0.00009554274,0.00045685383,0.00018207273,0.00004391637,0.000046415375,0.000030423256,0.000326133,0.99033934,0.00041671918,0.00092379464,0.007064876],"study_design_scores_gemma":[0.000089168614,0.0005739881,0.004466346,0.00003618163,0.000100195226,0.00049341103,0.00004430475,0.018645523,0.9635361,0.0011427915,0.010766831,0.000105228944],"about_ca_topic_score_codex":0.001688863,"about_ca_topic_score_gemma":0.0027346353,"teacher_disagreement_score":0.0029843708,"about_ca_system_score_codex":0.0010158612,"about_ca_system_score_gemma":0.0010715149,"threshold_uncertainty_score":0.009983718},"labels":[],"label_agreement":null},{"id":"W2110153587","doi":"10.1039/c0mb00080a","title":"Probing aromatic, hydrophobic, and steric effects on the self-assembly of an amyloid-β fragment peptide","year":2010,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Supramolecular Self-Assembly in Materials","field":"Materials Science","cited_by":90,"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":"Cornell Center for Materials Research; University of Rochester; Ryerson University; Medical Center, University of Rochester; National Science Foundation","keywords":"Chemistry; Steric effects; Peptide; Side chain; Amyloid (mycology); Stereochemistry; Amino acid; Aromatic amino acids; Aromaticity; Kinetics; Crystallography; Biochemistry; Molecule; Organic chemistry","score_opus":0.005427669341748126,"score_gpt":0.21970519007581094,"score_spread":0.2142775207340628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110153587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989716,0.00024807965,0.00049223594,0.0000058821647,0.000002211623,0.0000064792107,0.000028993065,0.000006534027,0.0002379299],"genre_scores_gemma":[0.9988049,0.00017571077,0.00076738786,0.0000129186965,0.0000023024763,0.000006153818,0.00004155006,0.0000039394954,0.0001851668],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998919,0.000022713695,0.000005663286,0.00001846353,0.000038318634,0.000022967064],"domain_scores_gemma":[0.99974746,0.000082733255,0.000082274855,0.00001149769,0.000029394729,0.000046617857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001674682,0.0002829584,0.0001800354,0.00007631403,0.0001182038,0.0001742186,0.000117653115,0.00022445853,0.0004352315],"category_scores_gemma":[0.00023881617,0.00011226492,0.0001392692,0.00008665387,0.00018598158,0.00017821965,0.00014604501,0.00024572088,0.00012484417],"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":[0.00007391742,0.000012650533,0.00057155226,0.000018113,0.0000056604154,0.000034895813,0.000009703692,0.0001543476,0.99858,0.000020450356,0.0000052738787,0.00051340554],"study_design_scores_gemma":[0.000008632626,0.00049307407,0.00878122,0.0000033871684,0.00001524718,0.0002673776,0.000021943253,0.002085869,0.98798966,0.000032871434,0.00029473056,0.000006172214],"about_ca_topic_score_codex":0.00033974167,"about_ca_topic_score_gemma":0.00061926915,"teacher_disagreement_score":0.0004352315,"about_ca_system_score_codex":0.0001636417,"about_ca_system_score_gemma":0.0001005269,"threshold_uncertainty_score":0.0014560223},"labels":[],"label_agreement":null},{"id":"W2116136769","doi":"10.1039/c3mb90008h","title":"Focus on chemical biology in Asia","year":2013,"lang":"en","type":"editorial","venue":"Molecular BioSystems","topic":"Biotechnology and Related Fields","field":"Medicine","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":"University of Toronto","funders":"","keywords":"Focus (optics); Biology; Computational biology; Data science; Computer science; Physics","score_opus":0.004025741651653748,"score_gpt":0.2453363255344119,"score_spread":0.24131058388275814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116136769","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":[0.000016841557,0.011001343,0.00008744825,0.037696034,0.9491949,0.000010110616,0.000023199118,0.000030568535,0.0019394222],"genre_scores_gemma":[0.0004337309,0.013927082,0.00014741092,0.057433695,0.90234935,0.00002143263,0.00003881333,0.000059092567,0.025589386],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9944265,0.0007805032,0.00048735258,0.00065123616,0.0032433814,0.0004110779],"domain_scores_gemma":[0.9827641,0.005906334,0.0011695651,0.00039973765,0.006454947,0.0033053486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008879279,0.0032774548,0.0031912404,0.0027006613,0.0027466451,0.007777897,0.0032003925,0.012269559,0.018079022],"category_scores_gemma":[0.015426992,0.001040423,0.002189395,0.001605612,0.0031138358,0.0071125906,0.0025660805,0.025959319,0.015677152],"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":[0.000016104372,0.000005088143,0.000009260627,0.00015335562,0.0000074368872,0.000042961125,0.000011550465,0.00000953694,0.000069217975,0.00046626173,0.99537694,0.0038322345],"study_design_scores_gemma":[0.00002198967,0.000017925397,0.00008705431,0.00024588482,0.000020039512,0.00011735616,0.000027630193,0.000040172108,0.00010379417,0.0008301201,0.99847883,0.0000092977725],"about_ca_topic_score_codex":0.0016092905,"about_ca_topic_score_gemma":0.0048649586,"teacher_disagreement_score":0.018079022,"about_ca_system_score_codex":0.0038382006,"about_ca_system_score_gemma":0.0059693675,"threshold_uncertainty_score":0.060480297},"labels":[],"label_agreement":null},{"id":"W2123551980","doi":"10.1039/c5mb00470e","title":"Potential of serum metabolites for diagnosing post-stroke cognitive impairment","year":2015,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":76,"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":"National Natural Science Foundation of China; University of Lethbridge","keywords":"Stroke (engine); Kynurenine; Metabolite; Cognition; Medicine; Pathological; Metabolomics; Internal medicine; Omics; Kynurenine pathway; Cognitive impairment; Biomarker; Oxidative stress; Inflammation; Bioinformatics; Psychiatry; Biology; Biochemistry; Tryptophan","score_opus":0.010069155661038023,"score_gpt":0.2517316053704467,"score_spread":0.24166244970940867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123551980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9648889,0.018256536,0.011759231,0.000466743,0.00013502185,0.0001232614,0.0016170907,0.00032708448,0.0024260757],"genre_scores_gemma":[0.98980683,0.002237042,0.006981576,0.00018509118,0.000040240287,0.00003976999,0.00030631607,0.0000071556533,0.00039604216],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99949515,0.00020903382,0.000044272027,0.000098099335,0.00010936531,0.000044005737],"domain_scores_gemma":[0.9992036,0.00021510074,0.0002695879,0.000055664135,0.00017147559,0.000084576925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009528429,0.0010099746,0.0005965727,0.0020366083,0.00027672746,0.0007447206,0.00029732054,0.00072624214,0.00054186856],"category_scores_gemma":[0.0017453823,0.00018978454,0.00031818604,0.0012083563,0.00032511022,0.00037343497,0.0004055411,0.0005573789,0.00020996838],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004389172,0.00069090654,0.67780024,0.0004986356,0.000640681,0.00078693253,0.0001935264,0.0011759079,0.16894096,0.0004366878,0.000770962,0.1436754],"study_design_scores_gemma":[0.0001474046,0.003468332,0.81172544,0.00014671417,0.0009785697,0.0036726794,0.0003959447,0.014487663,0.15874611,0.0025186636,0.0035988367,0.00011361036],"about_ca_topic_score_codex":0.0013190127,"about_ca_topic_score_gemma":0.0021710373,"teacher_disagreement_score":0.0020366083,"about_ca_system_score_codex":0.00027314707,"about_ca_system_score_gemma":0.0005099849,"threshold_uncertainty_score":0.0050391555},"labels":[],"label_agreement":null},{"id":"W2124455757","doi":"10.1039/c5mb00488h","title":"Computational modeling of cytokine signaling in microglia","year":2015,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre","funders":"National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research","keywords":"Neuroinflammation; Microglia; Neuroscience; Cytokine; Cell biology; Signal transduction; Immunology; Biology; Computational biology; Chemistry; Inflammation","score_opus":0.05174865919545801,"score_gpt":0.2659218737185384,"score_spread":0.2141732145230804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124455757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6763997,0.0014324699,0.28936312,0.0019404258,0.00023278227,0.00015677315,0.0018360155,0.0007381484,0.027900534],"genre_scores_gemma":[0.9662592,0.0005019794,0.028066177,0.00017335944,0.000049988594,0.00032910125,0.000576001,0.00008161166,0.003962521],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985516,0.00004951246,0.0000073915285,0.000025347283,0.000028673656,0.0000338338],"domain_scores_gemma":[0.99917644,0.0005490697,0.00008163777,0.000035725257,0.00009471511,0.00006250622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034342127,0.0007313336,0.0009498667,0.00048760118,0.00055026636,0.0009304636,0.0011891497,0.0017020724,0.0020485919],"category_scores_gemma":[0.0014824987,0.000601134,0.0011301634,0.0004731229,0.000697547,0.00056287914,0.00085899024,0.0008091835,0.00021666715],"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":[0.000016478309,0.000010371095,0.00030822534,0.00001212549,0.000009609649,0.000025225338,0.0000083907225,0.9978758,0.00028789937,0.0009845312,0.0000663501,0.00039493234],"study_design_scores_gemma":[0.0000040535174,0.0000035799226,0.000055330005,0.0000014159618,0.0000020441657,0.0000030942406,0.000003314944,0.9993531,0.000047935486,0.00045203653,0.00007294324,0.0000012562109],"about_ca_topic_score_codex":0.014112121,"about_ca_topic_score_gemma":0.0064949086,"teacher_disagreement_score":0.014112121,"about_ca_system_score_codex":0.0009059716,"about_ca_system_score_gemma":0.0013735514,"threshold_uncertainty_score":0.02805996},"labels":[],"label_agreement":null},{"id":"W2127526666","doi":"10.1039/c0mb00235f","title":"Identification of an FHL1protein complex containing ACTN1, ACTN4, and PDLIM1 using affinity purifications and MS-based protein–protein interaction analysis","year":2011,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Cardiomyopathy and Myosin Studies","field":"Medicine","cited_by":30,"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 Health Network; Heart and Stroke Foundation; Ontario Institute for Cancer Research; University of Toronto","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Ontario Genomics Institute; Genome Canada","keywords":"HEK 293 cells; LIM domain; Biology; Immunoprecipitation; Cell biology; Affinity chromatography; Protein–protein interaction; Computational biology; Chemistry; Biochemistry; Receptor; Transcription factor; Gene; Zinc finger","score_opus":0.06277262468024837,"score_gpt":0.3059447153641763,"score_spread":0.24317209068392792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127526666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9642792,0.0041644736,0.02527853,0.0005398182,0.00005978312,0.00015431267,0.0029458478,0.0003134073,0.0022646494],"genre_scores_gemma":[0.9027739,0.0025597513,0.066798754,0.0005863001,0.00004321014,0.0002694136,0.019632252,0.00019234099,0.0071440004],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997341,0.00002660896,0.00002177268,0.000080381295,0.00009364916,0.00004337073],"domain_scores_gemma":[0.99985015,0.000030441253,0.000031927426,0.000014545142,0.0000318551,0.000041074436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029904558,0.0006114338,0.00038894033,0.0006447398,0.0004566553,0.0004117647,0.0005686482,0.00042123208,0.0011244366],"category_scores_gemma":[0.00032807278,0.00024571244,0.00040850157,0.00038197916,0.00022902974,0.00025814225,0.00042676931,0.0004764791,0.0010935044],"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":[0.00010761283,0.00003620395,0.0011844469,0.000078976154,0.00003239009,0.00012356736,0.000029030383,0.00007398287,0.9958572,0.000084832216,0.00021686271,0.0021749514],"study_design_scores_gemma":[0.000032356988,0.000107786596,0.030390741,0.00002384872,0.000104935476,0.0014126827,0.000062672625,0.008588889,0.94932866,0.00013915659,0.009785867,0.000022414912],"about_ca_topic_score_codex":0.0012016795,"about_ca_topic_score_gemma":0.0020362826,"teacher_disagreement_score":0.0012016795,"about_ca_system_score_codex":0.0009093487,"about_ca_system_score_gemma":0.00032441047,"threshold_uncertainty_score":0.0065977573},"labels":[],"label_agreement":null},{"id":"W2131207076","doi":"10.1039/c4mb00739e","title":"Exploring the mode of action of dithranol therapy for psoriasis: a metabolomic analysis using HaCaT cells","year":2015,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Alberta Hospital Edmonton; University of Alberta","funders":"Biotechnology and Biological Sciences Research Council","keywords":"Dithranol; Psoriasis; HaCaT; Metabolomics; Keratinocyte; Metabolite; Immune system; Mode of action; Pharmacology; Medicine; Chemistry; Biology; Immunology; Bioinformatics; Cell culture; Biochemistry; Genetics","score_opus":0.10831163576755261,"score_gpt":0.31633887077118283,"score_spread":0.20802723500363024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131207076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9620898,0.005284728,0.023663232,0.0004265507,0.000084857646,0.00023137906,0.0055377767,0.00029303192,0.0023886685],"genre_scores_gemma":[0.9525851,0.0065000406,0.03217384,0.00030999148,0.000027666998,0.00024357978,0.0046422295,0.00006181681,0.0034556435],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989545,0.000011334615,0.0000063352754,0.000028236873,0.000042403444,0.000016263064],"domain_scores_gemma":[0.99994075,0.000014820425,0.000010567799,0.000004923377,0.000021402437,0.0000074528534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013448283,0.0002724516,0.00043656613,0.00037526217,0.00019326531,0.0004430043,0.00013065725,0.0003472172,0.00067208055],"category_scores_gemma":[0.00013749236,0.00012602254,0.0005420315,0.0005831114,0.00015367796,0.00027547838,0.00019113657,0.00054671563,0.0003129844],"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":[0.00013460255,0.00004668913,0.0007242138,0.00010485917,0.00002006811,0.00004576569,0.0000225938,0.00030302737,0.9941057,0.000071413015,0.000088171946,0.0043328935],"study_design_scores_gemma":[0.000026917265,0.0008235262,0.03740527,0.000022531005,0.00014126778,0.0003170542,0.000215459,0.009796632,0.9449973,0.00045671916,0.005751297,0.000046000696],"about_ca_topic_score_codex":0.0012789578,"about_ca_topic_score_gemma":0.0021294774,"teacher_disagreement_score":0.0012789578,"about_ca_system_score_codex":0.00024651474,"about_ca_system_score_gemma":0.00020966667,"threshold_uncertainty_score":0.0025429726},"labels":[],"label_agreement":null},{"id":"W2131525103","doi":"10.1039/c3mb70599d","title":"High-content screening of yeast mutant libraries by shotgun lipidomics","year":2014,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Danmarks Frie Forskningsfond; Lundbeckfonden; Natur og Univers, Det Frie Forskningsråd","keywords":"Lipidomics; Yeast; Shotgun; Mutant; Orbitrap; Saccharomyces cerevisiae; Metabolomics; Computational biology; High-throughput screening; Biology; Genetic screen; Lipid metabolism; Biochemistry; Chemistry; Mass spectrometry; Gene; Bioinformatics; Chromatography","score_opus":0.009989268225396057,"score_gpt":0.1977230524215808,"score_spread":0.18773378419618475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131525103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8589118,0.000444331,0.13401407,0.00014804868,0.000034299454,0.00040641238,0.0035541821,0.0016269748,0.00085974386],"genre_scores_gemma":[0.8474903,0.0011650817,0.14096624,0.00014853077,0.000017673145,0.0005479013,0.0069607515,0.00047670322,0.0022269199],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994816,0.00008197818,0.00006626171,0.000100052275,0.00021392803,0.000056212844],"domain_scores_gemma":[0.99958473,0.00010591187,0.000076239856,0.000076872704,0.000090486494,0.00006575278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077125983,0.0010295974,0.00080237945,0.0009808083,0.00027198627,0.0007338176,0.0005356524,0.00036070263,0.000702414],"category_scores_gemma":[0.0005257487,0.00027041908,0.00051211315,0.0008289393,0.00026547292,0.00035316104,0.00075625733,0.0005844961,0.0005187945],"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":[0.00002627631,0.000018608313,0.00014451281,0.0000141284045,0.0000072081316,0.00001720031,0.0000048991246,0.00008196548,0.9988142,0.000028791257,0.000010784228,0.0008313502],"study_design_scores_gemma":[0.000007713705,0.00015034548,0.0017160622,0.000002572148,0.000026236186,0.00010423001,0.000014735987,0.0016122896,0.9958397,0.00005800736,0.00046195489,0.0000061594806],"about_ca_topic_score_codex":0.00046527758,"about_ca_topic_score_gemma":0.0008124417,"teacher_disagreement_score":0.0010295974,"about_ca_system_score_codex":0.00034274408,"about_ca_system_score_gemma":0.00034549704,"threshold_uncertainty_score":0.0040788054},"labels":[],"label_agreement":null},{"id":"W2136903085","doi":"10.1039/c4mb00123k","title":"Informative Bayesian Model Selection: a method for identifying interactions in genome-wide data","year":2014,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Selection (genetic algorithm); Bayesian probability; Computational biology; Genome; Key (lock); Genome-wide association study; Computer science; Biology; Machine learning; Artificial intelligence; Genetics; Gene; Single-nucleotide polymorphism; Genotype","score_opus":0.04108746734389481,"score_gpt":0.34930174491366084,"score_spread":0.30821427756976605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136903085","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":[0.0015355828,0.00014500532,0.997152,0.00015030704,0.00002388294,0.00005707978,0.00015885461,0.0005574793,0.00021990847],"genre_scores_gemma":[0.08237807,0.00050738535,0.9122227,0.00040996727,0.00020658426,0.0008041001,0.0014611395,0.0004879847,0.0015221249],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9923343,0.0055658473,0.00027692338,0.0007127968,0.0009237357,0.00018630376],"domain_scores_gemma":[0.9819182,0.015648447,0.0006468328,0.0007887281,0.000764159,0.00023360986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013422513,0.0019483236,0.0022550495,0.004113813,0.001369289,0.001822974,0.003033624,0.001683207,0.004223574],"category_scores_gemma":[0.031233134,0.0011803905,0.003128429,0.003657759,0.0014285825,0.001665637,0.0024444945,0.003554397,0.0010901542],"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":[0.00058535725,0.00023914185,0.01466041,0.00055162766,0.0022280186,0.000786072,0.00044366205,0.48436606,0.0038725026,0.09584257,0.018229742,0.3781948],"study_design_scores_gemma":[0.000072878734,0.00004275063,0.0006865036,0.000044942168,0.00010178156,0.00012536252,0.00003161757,0.9309012,0.0006956804,0.063901,0.003357959,0.0000383159],"about_ca_topic_score_codex":0.009353737,"about_ca_topic_score_gemma":0.011453427,"teacher_disagreement_score":0.013422513,"about_ca_system_score_codex":0.0010286381,"about_ca_system_score_gemma":0.0038561875,"threshold_uncertainty_score":0.07098591},"labels":[],"label_agreement":null},{"id":"W2140566350","doi":"10.1039/c2mb25107h","title":"A novel calcineurin-independent activity of cyclosporin A in <b> <i>Saccharomyces cerevisiae</i> </b>","year":2012,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Signaling Pathways in Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto; University of New Brunswick","funders":"Canadian Institutes of Health Research","keywords":"Calcineurin; Saccharomyces cerevisiae; Computational biology; Biology; Chemistry; Biochemistry; Yeast; Medicine; Transplantation; Internal medicine","score_opus":0.013718078430799308,"score_gpt":0.25600334158592564,"score_spread":0.24228526315512633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140566350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98592836,0.0042650867,0.003922369,0.0001549551,0.00009351224,0.00006816285,0.00075893255,0.00019056277,0.004617979],"genre_scores_gemma":[0.993997,0.0011477771,0.00243337,0.00008707413,0.000019011111,0.0000271854,0.00065286417,0.000029236133,0.0016064907],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988544,0.000018539124,0.00001698323,0.000027351507,0.000035568257,0.000016210488],"domain_scores_gemma":[0.9998777,0.000021345952,0.000024965631,0.000018833243,0.000018809442,0.00003837851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010873898,0.00031089433,0.00023690074,0.00019114677,0.00015959721,0.0003882913,0.00023931236,0.00023386051,0.0011864937],"category_scores_gemma":[0.00011498347,0.00007359296,0.00028583632,0.00025398514,0.00014377071,0.00014247844,0.00015611255,0.00041497426,0.00027107683],"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":[0.00008639546,0.000026246478,0.0000964325,0.00003176318,0.0000054822453,0.000041754258,0.0000040005207,0.00003457607,0.9983846,0.000055237757,0.000034145618,0.0011994023],"study_design_scores_gemma":[0.000019999236,0.00029505318,0.0015670089,0.0000032874525,0.000016451753,0.00018015817,0.0000071074555,0.00025054024,0.99548423,0.000016744189,0.0021560146,0.0000032244914],"about_ca_topic_score_codex":0.00096551946,"about_ca_topic_score_gemma":0.0013119145,"teacher_disagreement_score":0.0011864937,"about_ca_system_score_codex":0.00022235721,"about_ca_system_score_gemma":0.00031462446,"threshold_uncertainty_score":0.0039691925},"labels":[],"label_agreement":null},{"id":"W2141676859","doi":"10.1039/c2mb90047e","title":"Simplifying the author and reader experience","year":2012,"lang":"en","type":"editorial","venue":"Molecular BioSystems","topic":"Academic Writing and Publishing","field":"Arts and Humanities","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":"University of Toronto","funders":"","keywords":"Computer science; Data science; Epistemology; Cognitive science; Psychology; Philosophy","score_opus":0.03209280645605834,"score_gpt":0.2730011963643969,"score_spread":0.24090838990833857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141676859","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":"reporting","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":"reporting","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016507358,0.0051486217,0.0013938536,0.09757118,0.8870387,0.000024129307,0.000034021614,0.0002719948,0.008352401],"genre_scores_gemma":[0.004581643,0.007731589,0.0026707314,0.115659304,0.80605674,0.00008661888,0.000105709085,0.0008488988,0.062258843],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9568685,0.011251093,0.004061956,0.003341613,0.02276687,0.0017100021],"domain_scores_gemma":[0.81610864,0.057135187,0.007438073,0.0074746446,0.09775079,0.014092589],"candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.03281219,0.0024793963,0.0022298754,0.0041517564,0.0061308155,0.022563916,0.0030736115,0.010465258,0.024450924],"category_scores_gemma":[0.1688844,0.0010825647,0.001616726,0.0016480586,0.0044357507,0.013933196,0.0056137326,0.02016808,0.030101145],"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":[0.00001815342,0.000009768065,0.00003225622,0.000119191565,0.000008912129,0.00010973134,0.00016546532,0.000020634983,0.00011683024,0.0012011237,0.9858984,0.012299683],"study_design_scores_gemma":[0.000013317848,0.000015502108,0.000069052214,0.0002282894,0.000017930493,0.00022311296,0.00022136528,0.00005506771,0.00012734921,0.0019418852,0.9970716,0.000015589638],"about_ca_topic_score_codex":0.0007389167,"about_ca_topic_score_gemma":0.0031256566,"teacher_disagreement_score":0.97743607,"about_ca_system_score_codex":0.0032014528,"about_ca_system_score_gemma":0.0072167604,"threshold_uncertainty_score":0.17352957},"labels":[],"label_agreement":null},{"id":"W2141702186","doi":"10.1039/c4mb00566j","title":"A transcriptomic analysis for identifying the unintended effects of introducing a heterologous glyphosate-tolerant EPSP synthase into <i>Escherichia coli</i>","year":2015,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Biotechnology Research Institute","funders":"National Natural Science Foundation of China","keywords":"Heterologous; Escherichia coli; Transcriptome; Biology; Glyphosate; ATP synthase; Computational biology; Microbiology; Genetics; Biotechnology; Gene; Gene expression","score_opus":0.018119827165475878,"score_gpt":0.23756173880130488,"score_spread":0.219441911635829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141702186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9789574,0.0005970764,0.009263456,0.00010758305,0.000040142924,0.00006543738,0.009832983,0.00012276263,0.0010130419],"genre_scores_gemma":[0.96218765,0.0012307005,0.016113378,0.0002484795,0.000027240327,0.00024839683,0.016061015,0.00006638729,0.0038168489],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99980694,0.000016761976,0.000010480398,0.00007941131,0.000049875263,0.000036563753],"domain_scores_gemma":[0.99987674,0.00003470898,0.0000305051,0.000011657639,0.000028519833,0.00001787766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013459881,0.0003940753,0.00037889226,0.00047242802,0.00023022095,0.00037696082,0.00012169428,0.00027417144,0.0007640662],"category_scores_gemma":[0.00017984751,0.00011406821,0.0004501776,0.0006634643,0.00021122857,0.00017083922,0.00021138432,0.00031631114,0.00024071975],"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":[0.00006413438,0.000015261752,0.0009079138,0.00002991964,0.0000056426006,0.000022418371,0.000011022923,0.0000446225,0.9978771,0.000019199184,0.000026542037,0.0009763073],"study_design_scores_gemma":[0.0000100311845,0.0004921085,0.13554922,0.000014464716,0.00009462317,0.0002735441,0.00019370065,0.002737644,0.8576501,0.00013953318,0.002826191,0.000018742847],"about_ca_topic_score_codex":0.0008829672,"about_ca_topic_score_gemma":0.0013934075,"teacher_disagreement_score":0.0008829672,"about_ca_system_score_codex":0.00025188757,"about_ca_system_score_gemma":0.000288186,"threshold_uncertainty_score":0.0025560856},"labels":[],"label_agreement":null},{"id":"W2141933676","doi":"10.1039/c2mb25151e","title":"Large scale phosphoproteome analysis of LNCaP human prostate cancer cells","year":2012,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency","funders":"National Institutes of Health; National Cancer Institute; National Institute for Health and Care Research; Canadian Institutes of Health Research; Cedars-Sinai Medical Center","keywords":"LNCaP; Phosphorylation; Androgen receptor; Prostate cancer; Biology; Proteomics; Kinase; Signal transduction; Phosphoprotein; Phosphoproteomics; Protein kinase B; Cancer cell; Protein phosphorylation; Cancer research; Cancer; Chemistry; Cell biology; Biochemistry; Protein kinase A; Genetics","score_opus":0.006685658010769681,"score_gpt":0.2744052578980515,"score_spread":0.2677195998872818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141933676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93568754,0.008309713,0.031117035,0.00030193184,0.00015428185,0.00034781135,0.01727347,0.0006111735,0.0061970917],"genre_scores_gemma":[0.87384784,0.011758761,0.064344235,0.0005260295,0.000081394406,0.00079462706,0.035857014,0.00018925272,0.012600867],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998852,0.000008321523,0.0000063237053,0.000030478284,0.00004966983,0.000019995601],"domain_scores_gemma":[0.999959,0.0000071974514,0.0000052607734,0.000004821162,0.0000155095,0.000008196177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014264892,0.0003991446,0.00035785142,0.000709429,0.000423709,0.00028154725,0.00027214867,0.00017725078,0.0009862074],"category_scores_gemma":[0.00007381955,0.00011288465,0.00033902453,0.0008158766,0.00013915332,0.00013047323,0.000293513,0.00038962334,0.0005609778],"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":[0.00004768626,0.000013749276,0.0002068915,0.000042359155,0.0000075751273,0.000066539,0.00001717647,0.000036487887,0.9981692,0.00002810459,0.000076909004,0.001287238],"study_design_scores_gemma":[0.000013276044,0.00022500558,0.02756002,0.000013034941,0.00007773812,0.00078804,0.00009596328,0.0014000396,0.95885366,0.00013002989,0.010824963,0.000018194998],"about_ca_topic_score_codex":0.0017898575,"about_ca_topic_score_gemma":0.0027205648,"teacher_disagreement_score":0.0017898575,"about_ca_system_score_codex":0.0001928962,"about_ca_system_score_gemma":0.0002682518,"threshold_uncertainty_score":0.0035588741},"labels":[],"label_agreement":null},{"id":"W2142618329","doi":"10.1039/b600186f","title":"Conformational chemistry of surface-attached calmodulin detected by acoustic shear wave propagation","year":2006,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Acoustic Wave Resonator Technologies","field":"Engineering","cited_by":41,"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 Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Calmodulin; Chemistry; Monolayer; Peptide; Slip (aerodynamics); Ion; Molecule; Biotinylation; Calcium; Biophysics; Avidin; Chemical physics; Analytical Chemistry (journal); Biochemistry; Chromatography; Organic chemistry; Physics","score_opus":0.004271141024264732,"score_gpt":0.17944118540421644,"score_spread":0.1751700443799517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142618329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99514127,0.00026329354,0.003938011,0.000037846294,0.000013701046,0.000010722973,0.00007790627,0.000035695244,0.00048169287],"genre_scores_gemma":[0.9920129,0.00034238037,0.0059752297,0.00003611699,0.0000136380995,0.000023821704,0.00021027043,0.000017870956,0.0013677131],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998727,0.000017263887,0.000004105486,0.000027974205,0.000059075912,0.000018941186],"domain_scores_gemma":[0.9998442,0.000048639176,0.000037293663,0.00000939111,0.000023567654,0.00003687584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013492198,0.0002782659,0.00019906636,0.00019525013,0.00014630317,0.00029644734,0.00025934016,0.00025138637,0.0009750842],"category_scores_gemma":[0.00032408128,0.00016140383,0.000098961544,0.00014941522,0.00023921106,0.00016950851,0.00019122844,0.00048692303,0.00021700434],"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":[0.00002304062,0.00000307268,0.00011714737,0.000007694051,0.000001002545,0.00000818431,0.000010496851,0.000010602227,0.9994837,0.000027089285,0.0000061364967,0.00030191548],"study_design_scores_gemma":[0.000008295241,0.0000803172,0.0032431344,0.0000021632825,0.0000047382287,0.0000439997,0.000015274476,0.0013906058,0.9948355,0.000030639796,0.000342203,0.0000031056495],"about_ca_topic_score_codex":0.0006102441,"about_ca_topic_score_gemma":0.0005513802,"teacher_disagreement_score":0.0009750842,"about_ca_system_score_codex":0.0002554432,"about_ca_system_score_gemma":0.00012986975,"threshold_uncertainty_score":0.0032619238},"labels":[],"label_agreement":null},{"id":"W2145457496","doi":"10.1039/c0mb00061b","title":"Coevolution of PDZ domain–ligand interactions analyzed by high-throughput phage display and deep sequencing","year":2010,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":130,"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 Toronto","funders":"Canadian Institutes of Health Research","keywords":"PDZ domain; Computational biology; Biology; Phage display; Cooperativity; Peptide library; Peptide; Binding site; Evolutionary biology; Peptide sequence; Genetics; Gene; Biochemistry","score_opus":0.0025671966740937356,"score_gpt":0.21933178909180173,"score_spread":0.21676459241770799,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145457496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9767627,0.00012637691,0.022675745,0.000025058556,0.0000023205484,0.00001134201,0.000052814332,0.000038981787,0.00030462106],"genre_scores_gemma":[0.9817748,0.00015123587,0.017496152,0.00003774293,0.0000019195265,0.000029619061,0.00015853767,0.000019938012,0.00033006014],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99962234,0.00008577671,0.000017468477,0.00006159398,0.0001580517,0.000054732736],"domain_scores_gemma":[0.99967015,0.00015618712,0.00006271389,0.000046428533,0.000030731993,0.000033759476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055626937,0.0002589962,0.00045904724,0.00037080082,0.00027650248,0.00060249335,0.0003538619,0.0003173844,0.00019809617],"category_scores_gemma":[0.00074658054,0.00025130968,0.000311409,0.0003766436,0.000326702,0.00031932688,0.00070606975,0.0007195659,0.00007567428],"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":[0.00010187617,0.000041588468,0.00579208,0.000028868932,0.000035105364,0.000059930648,0.0000711407,0.00472936,0.98132896,0.00061574683,0.000030184636,0.0071651908],"study_design_scores_gemma":[0.000028370043,0.0002658084,0.0581767,0.000007149576,0.0000683633,0.0006458821,0.00012954677,0.1810998,0.7561696,0.0017367118,0.0016247821,0.000047286445],"about_ca_topic_score_codex":0.0007796673,"about_ca_topic_score_gemma":0.0010067722,"teacher_disagreement_score":0.0007796673,"about_ca_system_score_codex":0.0004474615,"about_ca_system_score_gemma":0.00020227865,"threshold_uncertainty_score":0.0032466054},"labels":[],"label_agreement":null},{"id":"W2152575451","doi":"10.1039/c5mb00654f","title":"Comparative proteomic profiling of Hodgkin lymphoma cell lines","year":2015,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Excellence in Mining Innovation","funders":"","keywords":"Biology; Blot; Flow cytometry; Proteomics; Pathogenesis; Cell culture; Lymphoma; Cell; Gene expression profiling; Cytoskeleton; Computational biology; Cell biology; Molecular biology; Gene expression; Genetics; Gene; Immunology","score_opus":0.03649296891045664,"score_gpt":0.29031746377187406,"score_spread":0.25382449486141745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152575451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9644377,0.0037455445,0.008910393,0.000199989,0.00007989614,0.0002943598,0.018536208,0.00019965018,0.0035961836],"genre_scores_gemma":[0.85538554,0.0069139027,0.04543272,0.00049445324,0.00008809111,0.0010146388,0.08619957,0.00011057808,0.0043604025],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996699,0.0000303002,0.00003791432,0.00008152447,0.00013651646,0.000043829674],"domain_scores_gemma":[0.99981695,0.000037746562,0.00002417105,0.000016506772,0.0000848438,0.000019815194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024150111,0.0002848988,0.00046939935,0.0010340692,0.00044629854,0.00056882633,0.00020604453,0.00025736712,0.0010847294],"category_scores_gemma":[0.00038605882,0.00011719617,0.00032024848,0.0013556649,0.00014047502,0.00024362208,0.00031218305,0.000306218,0.0005931598],"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":[0.00028901492,0.00010168955,0.0045816586,0.00027513216,0.000049241055,0.00028540543,0.0001355286,0.00022057159,0.98766786,0.00012369368,0.0004937736,0.0057763583],"study_design_scores_gemma":[0.00010616688,0.0012702313,0.2781609,0.00009357763,0.00037228205,0.0043395967,0.0011257271,0.0065830178,0.66407144,0.0005633877,0.043229125,0.000084579864],"about_ca_topic_score_codex":0.0011197308,"about_ca_topic_score_gemma":0.0018963955,"teacher_disagreement_score":0.0011197308,"about_ca_system_score_codex":0.00023727531,"about_ca_system_score_gemma":0.000290866,"threshold_uncertainty_score":0.0036287308},"labels":[],"label_agreement":null},{"id":"W2154411047","doi":"10.1039/c1mb05094j","title":"Implementing an OR–NOT (ORN) logic gate with components of the SOS regulatory network of <i>Escherichia coli</i>","year":2011,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"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":"Ministerio de Ciencia e Innovación; Petroleum Technology Research Centre","keywords":"Repressor lexA; Synthetic biology; Escherichia coli; Plasmid; Biology; Computational biology; SOS response; Computer science; Genetics; DNA; Gene","score_opus":0.020155575243022736,"score_gpt":0.2231818589156459,"score_spread":0.20302628367262315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154411047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8725875,0.00010657945,0.1177631,0.00016114903,0.000078556186,0.00005055313,0.00008032566,0.00059732975,0.008574982],"genre_scores_gemma":[0.9743749,0.00006973464,0.02378407,0.000055240187,0.000005036994,0.000022439766,0.000043326854,0.000025784304,0.0016195454],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999056,0.000017480961,0.000005279752,0.000022939972,0.000026552705,0.000022201808],"domain_scores_gemma":[0.99990904,0.00002276826,0.000026612777,0.000014461874,0.000011868861,0.000015159643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010327658,0.00018531337,0.000104643324,0.00009061798,0.00013156126,0.0003715664,0.00027322967,0.00015565623,0.0008470628],"category_scores_gemma":[0.00028984813,0.00009196556,0.00011873938,0.000082590115,0.00029181485,0.00030265728,0.00023449013,0.00023943378,0.00013002165],"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":[0.00041014605,0.00009324267,0.0014990042,0.000108664724,0.000023134884,0.00026131878,0.00006934508,0.014093382,0.93638784,0.02837627,0.00025104935,0.018426621],"study_design_scores_gemma":[0.000026939919,0.00023305588,0.0009879756,0.000007795998,0.00003087702,0.0001491121,0.000027289498,0.05394612,0.9353597,0.0032964416,0.005918243,0.000016353044],"about_ca_topic_score_codex":0.0003513118,"about_ca_topic_score_gemma":0.0006364244,"teacher_disagreement_score":0.0008470628,"about_ca_system_score_codex":0.000260025,"about_ca_system_score_gemma":0.00021688934,"threshold_uncertainty_score":0.002833724},"labels":[],"label_agreement":null},{"id":"W2155244175","doi":"10.1039/b715242f","title":"Poly- <i>N</i> -acetylglucosamine and poly(glycerol phosphate) teichoic acid identification from staphylococcal biofilm extracts using excitation sculptured TOCSYNMR","year":2007,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Antimicrobial Resistance in Staphylococcus","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Biological Sciences","funders":"","keywords":"Teichoic acid; Biofilm; Glycerol; Staphylococcus epidermidis; Microbiology; Chromatography; Phosphate; Bacteria; Chemistry; Biology; Biochemistry; Staphylococcus aureus","score_opus":0.01349143473562885,"score_gpt":0.2733024993221721,"score_spread":0.25981106458654324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155244175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95301247,0.0012253934,0.043923967,0.0001297176,0.000018705281,0.00005192281,0.00022507033,0.00014485874,0.0012678821],"genre_scores_gemma":[0.93015575,0.0015023694,0.06579684,0.00010168851,0.000017790158,0.000053936255,0.0004750333,0.000065569184,0.0018309869],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987686,0.000021146716,0.000009149776,0.000029427034,0.000042941458,0.000020458274],"domain_scores_gemma":[0.99985147,0.000043664317,0.00003456962,0.000018389192,0.000025813026,0.000026057716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017936183,0.000525878,0.00019570642,0.00033242835,0.00017445082,0.00027366608,0.00021606601,0.00026136095,0.00051172695],"category_scores_gemma":[0.00024746163,0.00013573884,0.00013602077,0.00019229681,0.00025957145,0.00017133498,0.00025273504,0.00043951138,0.00027173146],"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":[0.0000065792465,0.0000018515349,0.00007387563,0.000008765049,7.974524e-7,0.000014982602,0.000007708,0.000014905117,0.99892277,0.0000085301235,0.000006215333,0.0009330057],"study_design_scores_gemma":[0.0000018362875,0.000056351902,0.0010852225,0.000002220277,0.0000051660863,0.00012731328,0.000014835645,0.00040333887,0.99802315,0.000020576736,0.00025735362,0.0000028431814],"about_ca_topic_score_codex":0.0006035316,"about_ca_topic_score_gemma":0.0014288512,"teacher_disagreement_score":0.0006035316,"about_ca_system_score_codex":0.00014395289,"about_ca_system_score_gemma":0.00021317638,"threshold_uncertainty_score":0.001711905},"labels":[],"label_agreement":null},{"id":"W2157686762","doi":"10.1039/c4mb00448e","title":"The yeast galactose network as a quantitative model for cellular memory","year":2014,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":62,"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":"National Institute of General Medical Sciences; Canadian Institutes of Health Research; National Institutes of Health; Human Frontier Science Program","keywords":"Galactose; Yeast; Computer science; Computational biology; Cellular metabolism; Biology; Cognitive science; Biochemistry; Metabolism; Psychology","score_opus":0.0190734078135089,"score_gpt":0.2883542499706485,"score_spread":0.2692808421571396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157686762","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":[0.0002539723,0.9903847,0.0043826504,0.00072241767,0.0004517693,0.000009069823,0.00004267491,0.000028064958,0.0037246612],"genre_scores_gemma":[0.005558722,0.98893064,0.002511716,0.0004476755,0.0004222222,0.00003296015,0.0000683003,0.000013995457,0.0020137064],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977094,0.000058460217,0.000022455608,0.000058621787,0.00007352041,0.000016052645],"domain_scores_gemma":[0.9995339,0.00027626764,0.000043205764,0.000028232638,0.00009128378,0.000027110753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094886136,0.0016948178,0.0015669761,0.0021571203,0.00038495098,0.0011223,0.0021679827,0.0017946374,0.0027049258],"category_scores_gemma":[0.0010923435,0.00051398244,0.0007043224,0.0021885356,0.0022532265,0.0026222651,0.0010786102,0.002321618,0.0018610663],"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":[0.000064203225,0.000068198715,0.00032917707,0.011083756,0.00016802638,0.00031235162,0.0001336902,0.010652067,0.0029784737,0.36639225,0.0397243,0.56809354],"study_design_scores_gemma":[0.000013661604,0.000046880483,0.00030857621,0.0014855377,0.000076284465,0.0005662518,0.000045030163,0.0024864331,0.00094822637,0.082309596,0.91166145,0.000052106443],"about_ca_topic_score_codex":0.0027996406,"about_ca_topic_score_gemma":0.0016893512,"teacher_disagreement_score":0.0027996406,"about_ca_system_score_codex":0.002779208,"about_ca_system_score_gemma":0.0012091134,"threshold_uncertainty_score":0.020164609},"labels":[],"label_agreement":null},{"id":"W2158221911","doi":"10.1039/c3mb70147f","title":"Extolling the benefits of molecular therapeutic lipidation","year":2013,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dairy Farmers of Ontario; University of Toronto","funders":"","keywords":"Lipid-anchored protein; Cytosol; Peptide; Small molecule; Chemistry; Biochemistry; Membrane; Membrane permeability; Protein targeting; Membrane protein; Cell biology; Biology; Enzyme; Autophagy","score_opus":0.038675260157931365,"score_gpt":0.29678848611859426,"score_spread":0.2581132259606629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158221911","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":[0.0007090791,0.9900407,0.0012482726,0.0008212544,0.00049709895,0.000006569201,0.000016051403,0.000019971034,0.006640935],"genre_scores_gemma":[0.0073953564,0.9835157,0.0012696232,0.0010191493,0.00040941255,0.000016047887,0.0000329713,0.0000075975213,0.006334189],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99982184,0.000032463417,0.000013670484,0.000032841323,0.00008070237,0.000018503448],"domain_scores_gemma":[0.99983525,0.00008311816,0.000018639561,0.000008827027,0.000041380816,0.000012810856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003511946,0.0006384535,0.0005957317,0.0010594714,0.00022295692,0.0008264037,0.00054999004,0.0011962998,0.0030504514],"category_scores_gemma":[0.0004188322,0.00016683036,0.0002694514,0.0007811055,0.00066244643,0.0012529703,0.00052437064,0.002272362,0.0021427975],"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":[0.000084440464,0.00009365713,0.00013490873,0.008073246,0.000052086998,0.00069034536,0.00015002121,0.00053525006,0.025498906,0.039800383,0.022456309,0.90243053],"study_design_scores_gemma":[0.000006934723,0.00008510318,0.00021386227,0.0004970597,0.00001951671,0.0014348075,0.000034425055,0.00007648319,0.004825642,0.0029428997,0.9898531,0.0000101598125],"about_ca_topic_score_codex":0.00060740806,"about_ca_topic_score_gemma":0.00090028625,"teacher_disagreement_score":0.0030504514,"about_ca_system_score_codex":0.000651164,"about_ca_system_score_gemma":0.0006015403,"threshold_uncertainty_score":0.010204732},"labels":[],"label_agreement":null},{"id":"W2164584673","doi":"10.1039/c2mb05440j","title":"Global analysis of protein phosphorylation networks in insulin signaling by sequential enrichment of phosphoproteins and phosphopeptides","year":2012,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University and Génome Québec Innovation Centre; McGill University; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Canadian Institutes of Health Research","keywords":"Phosphorylation; Phosphopeptide; Proteome; Chemistry; Protein phosphorylation; Biochemistry; Phosphoprotein; Cell fractionation; Chromatography; Protein kinase A; Enzyme","score_opus":0.00612682625556974,"score_gpt":0.24436801974556047,"score_spread":0.23824119348999073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164584673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.980467,0.0020739238,0.01585196,0.000037565802,0.000010289516,0.00003484133,0.0008531948,0.0001181422,0.00055302866],"genre_scores_gemma":[0.9773424,0.0024639214,0.017294085,0.000056052577,0.0000142335075,0.00009476231,0.001706453,0.000040145827,0.0009880385],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999292,0.0000069809116,0.000004074645,0.000029654548,0.000017338385,0.000012797186],"domain_scores_gemma":[0.9999342,0.000012730084,0.00002137376,0.000005637143,0.000009420005,0.000016715068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014159498,0.00035392313,0.00029094424,0.0005690997,0.0001306002,0.00026735992,0.00015946016,0.00013754718,0.00052750105],"category_scores_gemma":[0.000098324075,0.00015142495,0.0002330303,0.00049018575,0.00015246055,0.0002906545,0.00023270791,0.00031406825,0.00015245199],"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":[0.00015322046,0.000009123225,0.001148045,0.000059690145,0.000019245597,0.000022255348,0.000009271599,0.00015078174,0.9955882,0.00003153529,0.000019182069,0.0027894396],"study_design_scores_gemma":[0.000021961014,0.00030671933,0.17016532,0.000010621212,0.00016443044,0.00044163293,0.00006399348,0.0073464355,0.8192756,0.0003642855,0.001817929,0.000021020154],"about_ca_topic_score_codex":0.00035362513,"about_ca_topic_score_gemma":0.0006757221,"teacher_disagreement_score":0.0005690997,"about_ca_system_score_codex":0.00014388908,"about_ca_system_score_gemma":0.000117709904,"threshold_uncertainty_score":0.0017646551},"labels":[],"label_agreement":null},{"id":"W2168557659","doi":"10.1039/c1mb05195d","title":"Strigolactones as small molecule communicators","year":2011,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"Plant Parasitism and Resistance","field":"Agricultural and Biological Sciences","cited_by":30,"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 Toronto","funders":"","keywords":"Strigolactone; Biology; Function (biology); Endogeny; Botany; Allelopathy; Parasitic plant; Host (biology); Symbiosis; Arbuscular mycorrhizal fungi; Chemical communication; Ecology; Evolutionary biology; Genetics; Bacteria; Biochemistry; Gene; Arabidopsis; Germination; Mutant","score_opus":0.049587383839343885,"score_gpt":0.26336427393650663,"score_spread":0.21377689009716275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168557659","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":[0.00033732833,0.9976412,0.00022688747,0.00012699625,0.00010309472,0.000004100564,0.000021224985,0.000013857525,0.0015253713],"genre_scores_gemma":[0.0021477118,0.99580634,0.00028979845,0.00009780227,0.00010047464,0.0000082821325,0.000047505644,0.0000023148173,0.0014997178],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9999088,0.000012034927,0.000010208759,0.000022493085,0.000033959786,0.00001238649],"domain_scores_gemma":[0.99985063,0.000055471068,0.000028842936,0.0000066753164,0.000034993307,0.000023355762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003456954,0.0008379215,0.0009827927,0.0018017414,0.00026741804,0.00087198656,0.0008795526,0.0008140036,0.0034868459],"category_scores_gemma":[0.00034304286,0.0002729227,0.0002970341,0.0017836688,0.00044754258,0.0014145068,0.00061928097,0.0012368878,0.0033529624],"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":[0.00008646999,0.00008489121,0.00019629915,0.010234176,0.00006358349,0.00035088326,0.00007028411,0.0006219768,0.012384235,0.0056568724,0.015585126,0.95466524],"study_design_scores_gemma":[0.000013570983,0.000075070595,0.0005422084,0.0007037238,0.000047708945,0.0009064873,0.000037960715,0.000083129504,0.0024486023,0.0016729347,0.993451,0.000017606128],"about_ca_topic_score_codex":0.0005898131,"about_ca_topic_score_gemma":0.0009795523,"teacher_disagreement_score":0.0034868459,"about_ca_system_score_codex":0.0005009481,"about_ca_system_score_gemma":0.0005115014,"threshold_uncertainty_score":0.011664629},"labels":[],"label_agreement":null},{"id":"W2178290447","doi":"10.1039/c5mb00640f","title":"Molecular recognition features (MoRFs) in three domains of life","year":2015,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":166,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Hospital Edmonton; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Three-domain system; Context (archaeology); Intrinsically disordered proteins; Biology; Archaea; Protein Data Bank (RCSB PDB); Computational biology; Chemistry; Biochemistry; Genetics; Bacteria","score_opus":0.010705639397842212,"score_gpt":0.22922400708501292,"score_spread":0.2185183676871707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2178290447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94230187,0.00939611,0.025039349,0.00028630727,0.00009938045,0.000082641185,0.014241791,0.0016889867,0.0068634795],"genre_scores_gemma":[0.91110647,0.0017395138,0.061694093,0.00029245124,0.000048324157,0.000103303624,0.020802157,0.00022979535,0.0039838795],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99978274,0.000022947459,0.000021042575,0.00008005937,0.000058864047,0.000034317218],"domain_scores_gemma":[0.99943393,0.00011578828,0.00022944933,0.00006804466,0.00006763461,0.00008506824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024269495,0.00060050434,0.0005089263,0.0013924204,0.000568706,0.0005639758,0.00027199637,0.00062219106,0.0027054225],"category_scores_gemma":[0.00064960873,0.0001880205,0.0006946765,0.0014988297,0.00033352128,0.0006159622,0.000583961,0.00046109286,0.0017196424],"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":[0.0015922352,0.0001508012,0.056302737,0.0011664348,0.00019070877,0.0019219627,0.0005459124,0.0018153868,0.8275702,0.0037271031,0.004025726,0.100990735],"study_design_scores_gemma":[0.00008779638,0.0009156243,0.5526951,0.00043295245,0.00044130185,0.014377297,0.0008834446,0.012811705,0.20350735,0.0076794205,0.20597208,0.000195933],"about_ca_topic_score_codex":0.0007604325,"about_ca_topic_score_gemma":0.0008960856,"teacher_disagreement_score":0.0027054225,"about_ca_system_score_codex":0.00028126448,"about_ca_system_score_gemma":0.00020133484,"threshold_uncertainty_score":0.009050548},"labels":[],"label_agreement":null},{"id":"W2181064420","doi":"10.1039/c5mb00572h","title":"Serum metabolomics uncovering specific metabolite signatures of intra- and extrahepatic cholangiocarcinoma","year":2015,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Burnaby Hospital; Simon Fraser University","funders":"Division of Electrical, Communications and Cyber Systems","keywords":"Metabolomics; Metabolite; Metabolome; Biology; Computational biology; Cancer research; Internal medicine; Medicine; Bioinformatics","score_opus":0.014166810698234297,"score_gpt":0.24372928296517618,"score_spread":0.22956247226694187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2181064420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914466,0.0039676754,0.0031486505,0.00012496501,0.000028038787,0.000026994434,0.0007261623,0.000048797698,0.00048210265],"genre_scores_gemma":[0.99498206,0.0009807483,0.002960858,0.000116323055,0.000018793617,0.00002320892,0.0006207421,0.000008711085,0.0002887093],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99982905,0.00003545896,0.0000182115,0.00005399117,0.000037649916,0.00002562],"domain_scores_gemma":[0.99985826,0.000022797585,0.000055151726,0.000012898043,0.000032694054,0.000018226072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023261385,0.00043103262,0.00046981077,0.0010790732,0.00020280859,0.000529896,0.00010250169,0.00038666817,0.00033931766],"category_scores_gemma":[0.0004248666,0.00017111261,0.00036446966,0.0008722649,0.00017943043,0.0001990523,0.00035680784,0.000262999,0.000112925976],"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":[0.001860475,0.0001597874,0.28026053,0.00029011015,0.0005024672,0.0007761733,0.00023560542,0.00086644845,0.6742187,0.00020943492,0.00046309934,0.040157154],"study_design_scores_gemma":[0.000047775502,0.00073778693,0.8498123,0.00004807789,0.00045698744,0.0025072342,0.00029688003,0.0055668647,0.1367196,0.0004904721,0.0032583638,0.000057595065],"about_ca_topic_score_codex":0.0008581815,"about_ca_topic_score_gemma":0.0012506269,"teacher_disagreement_score":0.0010790732,"about_ca_system_score_codex":0.00016932403,"about_ca_system_score_gemma":0.0001952589,"threshold_uncertainty_score":0.0017063618},"labels":[],"label_agreement":null},{"id":"W2210851404","doi":"10.1039/c5mb00872g","title":"Coupling calcium dynamics and mitochondrial bioenergetic: an <i>in silico</i> study to simulate cardiomyocyte dysfunction","year":2015,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Bioenergetics; Coupling (piping); In silico; Intracellular; Calcium; Mitochondrion; Dynamics (music); Biophysics; Calcium in biology; Biology; Cell biology; Chemistry; Biochemistry; Physics; Materials science","score_opus":0.015327472309936634,"score_gpt":0.27855859883237327,"score_spread":0.26323112652243663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2210851404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94066006,0.00048530425,0.047367264,0.00051732943,0.00013824787,0.00009661801,0.0007872084,0.00030076382,0.00964718],"genre_scores_gemma":[0.9926593,0.0002295485,0.0058019254,0.000052920965,0.0000075243443,0.00005799358,0.00014673598,0.00002978639,0.0010142867],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999291,0.000016227592,0.0000050387844,0.000018795203,0.000016598735,0.000014282405],"domain_scores_gemma":[0.9997292,0.0001393392,0.000045775556,0.000029466773,0.00003393792,0.00002217726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001873403,0.00043396914,0.0004905545,0.00024268223,0.00021223273,0.0005591087,0.0008078399,0.0012156403,0.0020209576],"category_scores_gemma":[0.0006104716,0.00017508958,0.0005110024,0.00025029603,0.0003950186,0.00036492775,0.0004898095,0.0004930891,0.00016132584],"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":[0.00044789925,0.00030343398,0.003939075,0.00037688675,0.00008575751,0.00076768175,0.00019196328,0.8875646,0.096510366,0.003912529,0.0006163927,0.0052834353],"study_design_scores_gemma":[0.00007901579,0.00030408343,0.0014636951,0.000025353278,0.000057969344,0.00011133484,0.0000587013,0.9800244,0.015352946,0.0011369939,0.0013659146,0.000019633897],"about_ca_topic_score_codex":0.0022320377,"about_ca_topic_score_gemma":0.0013072111,"teacher_disagreement_score":0.0022320377,"about_ca_system_score_codex":0.00028516728,"about_ca_system_score_gemma":0.00026891503,"threshold_uncertainty_score":0.006760776},"labels":[],"label_agreement":null},{"id":"W2260187137","doi":"10.1039/c5mb00791g","title":"<i>In vitro</i> and <i>in vivo</i> biological characterization of the anti-proliferative potential of a cyclic trinuclear organotin( <scp>iv</scp> ) complex","year":2016,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Organometallic Compounds Synthesis and Characterization","field":"Chemistry","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Discovery Centre","funders":"Fundação para a Ciência e a Tecnologia","keywords":"In vivo; Cell cycle; Cytotoxicity; In vitro; Apoptosis; Cell growth; Cell culture; Cancer research; Chemistry; Cell cycle checkpoint; Biological activity; Biology; Biochemistry; Genetics","score_opus":0.008486463161573359,"score_gpt":0.19319415521771985,"score_spread":0.18470769205614648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2260187137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992529,0.0014468124,0.0030796041,0.000054601347,0.000013820136,0.00002859587,0.00024010552,0.00004936689,0.0025582204],"genre_scores_gemma":[0.9959752,0.0004450325,0.0014265841,0.000035117264,0.0000061301953,0.000026707601,0.00045700997,0.0000142086565,0.0016138465],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99992096,0.00002591173,0.0000047873405,0.000014290641,0.000016262875,0.000017878623],"domain_scores_gemma":[0.999913,0.00002142641,0.0000260049,0.000008644562,0.000017860995,0.000013102223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000118426055,0.00022904327,0.00012430617,0.000122029174,0.00007761786,0.0001192093,0.00014759367,0.00014932963,0.0013403848],"category_scores_gemma":[0.00012727706,0.0000583776,0.00010056775,0.00010881967,0.00012575724,0.000069500165,0.00007202437,0.00021037196,0.00020092847],"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":[0.0001839989,0.000018219245,0.000100468904,0.00003620283,0.0000038342705,0.000016740585,0.0000080201735,0.00020335673,0.99851006,0.00006074999,0.000038138274,0.0008201468],"study_design_scores_gemma":[0.0000065466497,0.00043058264,0.00044540872,0.000001440862,0.0000063222105,0.00005014579,0.0000045294328,0.0003908065,0.9980305,0.000011530914,0.0006210382,0.0000010812882],"about_ca_topic_score_codex":0.0010690643,"about_ca_topic_score_gemma":0.00067862176,"teacher_disagreement_score":0.0013403848,"about_ca_system_score_codex":0.00027661878,"about_ca_system_score_gemma":0.00013735595,"threshold_uncertainty_score":0.0044840574},"labels":[],"label_agreement":null},{"id":"W2281688700","doi":"10.1039/c6mb00038j","title":"Selectivity profile of afatinib for EGFR-mutated non-small-cell lung cancer","year":2016,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Northwest Territories","funders":"","keywords":"Afatinib; Lung cancer; Cancer research; Epidermal growth factor receptor; Biology; Oncology; Internal medicine; Computational biology; Genetics; Medicine; Erlotinib; Cancer","score_opus":0.009134115434847162,"score_gpt":0.30610422288215444,"score_spread":0.2969701074473073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2281688700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99448556,0.001098568,0.0026574207,0.000082383325,0.0000062173003,0.000014060937,0.0002604753,0.00004831915,0.0013469894],"genre_scores_gemma":[0.9988476,0.00025470025,0.00052609586,0.000011078498,0.0000017794785,0.0000045007046,0.00016164262,0.000005094231,0.00018744291],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998752,0.000018396682,0.0000078187,0.000030398065,0.000046128906,0.000022025442],"domain_scores_gemma":[0.99987316,0.00006208453,0.000016634887,0.000008596273,0.000027465661,0.00001208508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016764442,0.00014285704,0.00040611174,0.00016863023,0.00014014015,0.00022298073,0.00019334973,0.00019756235,0.00056184945],"category_scores_gemma":[0.0006832627,0.00007496723,0.0002621838,0.000200648,0.000079069774,0.0002146678,0.00011509042,0.00017774157,0.00019194708],"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":[0.0025072324,0.00029681216,0.038904056,0.0004017554,0.00015818617,0.00053422543,0.000116328665,0.23746826,0.65557384,0.0011593733,0.0010343778,0.06184557],"study_design_scores_gemma":[0.00015567751,0.0034217143,0.027222343,0.000011788234,0.0001544395,0.0011583753,0.00010895969,0.44811404,0.5146799,0.0006879808,0.004228585,0.000056214125],"about_ca_topic_score_codex":0.0021727486,"about_ca_topic_score_gemma":0.0019067181,"teacher_disagreement_score":0.0021727486,"about_ca_system_score_codex":0.00028541696,"about_ca_system_score_gemma":0.0003637218,"threshold_uncertainty_score":0.004320264},"labels":[],"label_agreement":null},{"id":"W2288810364","doi":"10.1039/c5mb00706b","title":"An updated evolutionary study of <i>Flaviviridae</i> NS3 helicase and NS5 RNA-dependent RNA polymerase reveals novel invariable motifs as potential pharmacological targets","year":2016,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Game Technology (Canada)","funders":"","keywords":"Flaviviridae; Helicase; Biology; RNA polymerase; NS3; Virology; Genetics; RNA; Polymerase; Computational biology; Evolutionary biology; Hepatitis C virus; Virus; Gene","score_opus":0.008073544216707702,"score_gpt":0.26745975290625673,"score_spread":0.25938620868954904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2288810364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7470659,0.15458925,0.07186867,0.0029224174,0.00037983476,0.000101105084,0.0024663236,0.0005201134,0.020086443],"genre_scores_gemma":[0.8583461,0.08249775,0.047821548,0.00057877245,0.00029016292,0.000045832483,0.005902871,0.000072263705,0.0044446737],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999,0.000016096908,0.000010858048,0.00002551672,0.000030824332,0.00001664549],"domain_scores_gemma":[0.9998234,0.00002033617,0.000060937135,0.000011957344,0.00005502204,0.000028378588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023792162,0.0003500531,0.00030583984,0.0008756142,0.00027869098,0.00059156487,0.00023482463,0.0002737081,0.00088962814],"category_scores_gemma":[0.00026503162,0.0001238933,0.00028646053,0.00089124823,0.00020133177,0.0010525329,0.00027154345,0.00056335225,0.00040168085],"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":[0.00057176535,0.00009136017,0.04439724,0.0016845281,0.00018417828,0.0008431504,0.00066384755,0.0037619104,0.44788495,0.006260395,0.0032873906,0.49036923],"study_design_scores_gemma":[0.00004546954,0.0016354944,0.3374652,0.00072602864,0.0008631096,0.009600394,0.0019505952,0.04413321,0.1458692,0.014588273,0.44294885,0.00017421854],"about_ca_topic_score_codex":0.0008579199,"about_ca_topic_score_gemma":0.0009227694,"teacher_disagreement_score":0.00088962814,"about_ca_system_score_codex":0.0003097842,"about_ca_system_score_gemma":0.0004306049,"threshold_uncertainty_score":0.0029761195},"labels":[],"label_agreement":null},{"id":"W2300466696","doi":"10.1039/c5mb00827a","title":"Systems biology analysis of hepatitis C virus infection reveals the role of copy number increases in regions of chromosome 1q in hepatocellular carcinoma metabolism","year":2016,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Hepatitis C virus research","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Hepatocellular carcinoma; Biology; Hepatitis C virus; Virus; Virology; Chromosome; Genetics; Gene","score_opus":0.015154663735347906,"score_gpt":0.2854037003596633,"score_spread":0.2702490366243154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2300466696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9836664,0.0010787554,0.012893551,0.00010815841,0.000014209352,0.000024292802,0.001267676,0.00020820183,0.00073857896],"genre_scores_gemma":[0.99327177,0.00030747516,0.0047523216,0.000032256405,0.000004293223,0.000032971184,0.0012343094,0.000019809999,0.00034479226],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99966896,0.000071902155,0.00001630564,0.00014297677,0.00006279677,0.000037040092],"domain_scores_gemma":[0.99964774,0.00015581689,0.00011200978,0.000038490187,0.000027204052,0.000018801926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052444736,0.00047498985,0.0003156288,0.0012293755,0.00020296063,0.00047695058,0.00029475836,0.0002679941,0.0012961149],"category_scores_gemma":[0.00073521683,0.00021348658,0.00057350815,0.000958985,0.00027743253,0.00019477152,0.0004168925,0.0003097423,0.00015550091],"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":[0.0007216406,0.00004797076,0.102358654,0.00029251777,0.00041917365,0.0002928543,0.00028275326,0.0127468705,0.8433018,0.0013689722,0.00026506133,0.037901685],"study_design_scores_gemma":[0.000047098507,0.0004929785,0.78991103,0.000034941477,0.0004291174,0.00065236795,0.00016273698,0.09001206,0.11148337,0.0030483794,0.0036308256,0.00009515077],"about_ca_topic_score_codex":0.0032656468,"about_ca_topic_score_gemma":0.0026498868,"teacher_disagreement_score":0.0032656468,"about_ca_system_score_codex":0.0006865957,"about_ca_system_score_gemma":0.00021620489,"threshold_uncertainty_score":0.0064932704},"labels":[],"label_agreement":null},{"id":"W2311273768","doi":"10.1039/c5mb00850f","title":"Host genetics is associated with the gut microbial community membership rather than the structure","year":2016,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"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 Toronto; Toronto Public Health","funders":"National Natural Science Foundation of China; Royal Society of Chemistry; Royal Society","keywords":"Host (biology); Biology; Evolutionary biology; Microbial genetics; Computational biology; Microbial population biology; Genetics; Gene; Bacteria","score_opus":0.010612842986972132,"score_gpt":0.22638868333844323,"score_spread":0.2157758403514711,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2311273768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971328,0.0009278224,0.0010263826,0.000061502666,0.000010233077,0.0000051926563,0.0001287767,0.000009738477,0.00069752254],"genre_scores_gemma":[0.9989328,0.0002524393,0.00052912487,0.00001749027,0.000008449318,0.0000027886872,0.00009546054,0.000004156622,0.0001573227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994332,0.00016672895,0.00003409895,0.00016380847,0.000119545984,0.000082656945],"domain_scores_gemma":[0.99854857,0.00035599465,0.0006036714,0.00015420032,0.00014741131,0.00019022086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005140817,0.0001677127,0.000411802,0.0006846162,0.00028636877,0.000612123,0.00011990929,0.00028775635,0.001509218],"category_scores_gemma":[0.0012317426,0.0001275801,0.00024311298,0.0008038714,0.000539512,0.0003035586,0.0004438406,0.0003232195,0.00021452027],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044472943,0.000058087357,0.7646159,0.00012462698,0.000277262,0.0003221975,0.0003645215,0.00029693494,0.21730697,0.00026567242,0.0000934129,0.01582969],"study_design_scores_gemma":[0.0000014441163,0.00008104916,0.99675363,0.0000049165287,0.000027546674,0.000213874,0.00013425556,0.0001847837,0.0021595978,0.00015029716,0.00028349567,0.0000050926005],"about_ca_topic_score_codex":0.0007360886,"about_ca_topic_score_gemma":0.0012197376,"teacher_disagreement_score":0.001509218,"about_ca_system_score_codex":0.00013933655,"about_ca_system_score_gemma":0.00019102597,"threshold_uncertainty_score":0.005048871},"labels":[],"label_agreement":null},{"id":"W2430397844","doi":"10.1039/c6mb00237d","title":"Systems level analysis of the <i>Chlamydomonas reinhardtii</i> metabolic network reveals variability in evolutionary co-conservation","year":2016,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"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":"Biological and Environmental Research; Office of Science; Royal Society of Chemistry; National Institute of General Medical Sciences; Medical Research Council; Royal Society; U.S. Department of Energy; Gordon and Betty Moore Foundation; Life Sciences Research Foundation; New York University Abu Dhabi; York University","keywords":"Chlamydomonas reinhardtii; Biology; Metabolic network; Phylogenetic tree; Computational biology; Gene; Chlamydomonas; Gene regulatory network; Evolutionary biology; Robustness (evolution); Systems biology; Phylogenetics; Organism; In silico; Genetics","score_opus":0.009621159048174075,"score_gpt":0.2219121350399055,"score_spread":0.21229097599173144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2430397844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.966924,0.0003754371,0.029860696,0.00013227807,0.00000839155,0.000014560714,0.001245953,0.00024793932,0.0011907081],"genre_scores_gemma":[0.9900271,0.00018206255,0.008591313,0.000014651358,0.0000018063865,0.0000129011405,0.0010095357,0.0000114219865,0.00014912408],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999163,0.000015750546,0.000005095218,0.000032980304,0.000014566943,0.000015228815],"domain_scores_gemma":[0.9997936,0.00007514547,0.00005342564,0.000030901432,0.00002681007,0.000020212923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019558833,0.00022304877,0.00019560866,0.0004987362,0.00026545647,0.0005034716,0.00023229602,0.00019727414,0.0006305201],"category_scores_gemma":[0.00057756604,0.00012014037,0.00041686013,0.00055536453,0.0002708541,0.00045718974,0.00028354226,0.00032046353,0.000084401996],"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":[0.00024426656,0.00009222452,0.12152772,0.0005878128,0.0004685657,0.00034931785,0.00041073887,0.47234684,0.34867784,0.015631441,0.0007619071,0.038901333],"study_design_scores_gemma":[0.000009641207,0.00012922855,0.21237499,0.000027006163,0.00015414211,0.00015577536,0.00024865023,0.7488911,0.02691315,0.008043102,0.0030040822,0.00004913497],"about_ca_topic_score_codex":0.010001609,"about_ca_topic_score_gemma":0.007576822,"teacher_disagreement_score":0.010001609,"about_ca_system_score_codex":0.00071592425,"about_ca_system_score_gemma":0.00053065544,"threshold_uncertainty_score":0.019886792},"labels":[],"label_agreement":null},{"id":"W2442594711","doi":"10.1039/c6mb00240d","title":"Molecular and genetic inflammation networks in major human diseases","year":2016,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vertex Pharmaceuticals (Canada)","funders":"National Institute of Allergy and Infectious Diseases; National Cancer Institute; National Institute on Aging","keywords":"Inflammation; Computational biology; Biology; Genetic data; Bioinformatics; Medicine; Immunology","score_opus":0.0074786894030556515,"score_gpt":0.24954728213440358,"score_spread":0.24206859273134793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2442594711","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":[0.051074576,0.8748882,0.023938099,0.02152875,0.00096571003,0.00010470628,0.0027809758,0.00037655694,0.024342423],"genre_scores_gemma":[0.34019336,0.6264547,0.017801283,0.0059697097,0.0020906818,0.00022082031,0.0021791046,0.000054074415,0.005036244],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99931943,0.0002464145,0.00006169746,0.00019725383,0.00011319581,0.00006204429],"domain_scores_gemma":[0.9994111,0.00026235217,0.00017564044,0.000032420572,0.00006297173,0.000055528173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007761809,0.000461603,0.000627432,0.0012604257,0.00034034206,0.0012622157,0.0002770569,0.00058494834,0.0035848387],"category_scores_gemma":[0.0012285209,0.00014569814,0.0005527457,0.0013629625,0.0008893912,0.0008433508,0.0010230289,0.0010838391,0.00052935834],"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":[0.0010393573,0.000120782344,0.06471065,0.011276302,0.001903139,0.004100506,0.002457674,0.005904217,0.03578794,0.2741561,0.03575601,0.56278723],"study_design_scores_gemma":[0.00007492139,0.00038937328,0.13388023,0.0043079024,0.0013345615,0.009606378,0.0014403522,0.0027493024,0.0054251533,0.32854924,0.5120762,0.00016640373],"about_ca_topic_score_codex":0.0010499756,"about_ca_topic_score_gemma":0.0010607308,"teacher_disagreement_score":0.0035848387,"about_ca_system_score_codex":0.00081519387,"about_ca_system_score_gemma":0.0011094935,"threshold_uncertainty_score":0.0119924545},"labels":[],"label_agreement":null},{"id":"W2461695554","doi":"10.1039/c6mb00239k","title":"Mastitomics, the integrated omics of bovine milk in an experimental model of <i>Streptococcus uberis</i> mastitis: 1. High abundance proteins, acute phase proteins and peptidomics","year":2016,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of California, San Diego; Biotechnology and Biological Sciences Research Council; University of Glasgow; Zoetis; Scottish Government; Rural and Environment Science and Analytical Services Division; Wellcome Trust; McGill University; Wellcome","keywords":"Streptococcus uberis; Lactoferrin; Mastitis; Serum amyloid A; Acute-phase protein; Proteomics; Haptoglobin; Biology; Biomarker; Peptide; Microbiology; Immunology; Andrology; Biochemistry; Bacteria; Streptococcus; Inflammation; Medicine","score_opus":0.01625143707704013,"score_gpt":0.242606737785758,"score_spread":0.22635530070871787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2461695554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895976,0.0028339548,0.004301687,0.00016719081,0.00004713585,0.00013324543,0.0020917638,0.00007842363,0.00074903644],"genre_scores_gemma":[0.97051,0.0031777772,0.018235419,0.00039428903,0.000041966385,0.000277485,0.004976655,0.000032906915,0.0023534792],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99961877,0.00005804614,0.000029889394,0.00009754665,0.00013578341,0.0000599907],"domain_scores_gemma":[0.9998708,0.0000137196475,0.000048835638,0.000011040354,0.000025406223,0.000030179903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040479604,0.00065101724,0.00052799075,0.00082742446,0.0003082702,0.00074342935,0.0002032895,0.0006321914,0.0005219566],"category_scores_gemma":[0.0002003918,0.00019238665,0.00045599174,0.00048601953,0.00035650012,0.0002870445,0.00035098876,0.00054831506,0.00019002844],"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":[0.00037977129,0.000056453126,0.0018771492,0.00007637233,0.000013391809,0.00006115086,0.000025462994,0.000039487077,0.99547356,0.000024929233,0.000026987107,0.0019452596],"study_design_scores_gemma":[0.000037408747,0.0029294677,0.10588085,0.000047477886,0.00015695825,0.0011317302,0.00023480036,0.0015640465,0.88249815,0.00014631932,0.0053468863,0.00002592395],"about_ca_topic_score_codex":0.0010214682,"about_ca_topic_score_gemma":0.0017082837,"teacher_disagreement_score":0.0010214682,"about_ca_system_score_codex":0.0004237391,"about_ca_system_score_gemma":0.00032086,"threshold_uncertainty_score":0.0030744672},"labels":[],"label_agreement":null},{"id":"W2471042400","doi":"10.1039/c6mb00290k","title":"Mastitomics, the integrated omics of bovine milk in an experimental model of <i>Streptococcus uberis</i> mastitis: 2. Label-free relative quantitative proteomics","year":2016,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Infection and Immunity","funders":"Biotechnology and Biological Sciences Research Council; Scottish Government; Rural and Environment Science and Analytical Services Division; Moredun Foundation; Wellcome Trust; Wellcome","keywords":"Streptococcus uberis; Mastitis; Proteomics; Streptococcus; Biology; Omics; Microbiology; Streptococcaceae; Computational biology; Bacteria; Bioinformatics; Genetics","score_opus":0.035640391761680795,"score_gpt":0.25794943341204984,"score_spread":0.22230904165036905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2471042400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97972625,0.003368867,0.0105217835,0.00022803614,0.000078502635,0.00014834662,0.004613964,0.0001601921,0.0011541457],"genre_scores_gemma":[0.94140494,0.003778748,0.036761332,0.00057837996,0.000063412605,0.00057405146,0.012009036,0.000094612726,0.00473552],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99952567,0.00005285838,0.000031829335,0.00013916745,0.00017418142,0.00007625324],"domain_scores_gemma":[0.9998667,0.000012952932,0.00004908903,0.0000122826905,0.000028545532,0.000030476936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005084307,0.0006652739,0.00053257943,0.0007498015,0.0003693679,0.00082081667,0.00029199352,0.00067609764,0.0007185432],"category_scores_gemma":[0.00018362273,0.00023327682,0.0005438969,0.00056486257,0.00037148266,0.00035307775,0.00037499415,0.0006671574,0.0002607698],"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":[0.00030011366,0.000037209582,0.0004909998,0.000061344246,0.000009929186,0.000026647935,0.000017522134,0.000044180855,0.99786216,0.000028385331,0.00002781089,0.0010937004],"study_design_scores_gemma":[0.00005325582,0.0016234436,0.07392894,0.000040525825,0.00014117359,0.00073144503,0.00017157204,0.0037234568,0.91365236,0.00016997891,0.0057281153,0.00003563808],"about_ca_topic_score_codex":0.0008740412,"about_ca_topic_score_gemma":0.0012904757,"teacher_disagreement_score":0.0008740412,"about_ca_system_score_codex":0.0005154848,"about_ca_system_score_gemma":0.00038814565,"threshold_uncertainty_score":0.0037401915},"labels":[],"label_agreement":null},{"id":"W2473094839","doi":"10.1039/c6mb00069j","title":"Autophagy-related intrinsically disordered proteins in intra-nuclear compartments","year":2016,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Autophagy in Disease and Therapy","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Hospital Edmonton; University of Alberta","funders":"","keywords":"Autophagy; Cell biology; Biology; Programmed cell death; Computational biology; Nuclear protein; Intrinsically disordered proteins; Transcription factor; Genetics; Biophysics; Gene; Apoptosis","score_opus":0.006129941851930765,"score_gpt":0.23773160902111223,"score_spread":0.23160166716918146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2473094839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929938,0.0020508375,0.0036250926,0.000046380894,0.0000066886873,0.000004824734,0.00016240324,0.000026989544,0.0010828361],"genre_scores_gemma":[0.9968622,0.0005401797,0.0017124051,0.00003144034,0.0000050877957,0.0000067301435,0.00027212448,0.000009333262,0.00056055473],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99986565,0.000021832831,0.0000149831485,0.00004042311,0.000034460765,0.000022663895],"domain_scores_gemma":[0.999838,0.000028425186,0.000059426115,0.00001835674,0.000028997489,0.000026702302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015933553,0.00014395344,0.00017728051,0.00078933215,0.00029016277,0.00029909806,0.00011739335,0.00018759607,0.00075398234],"category_scores_gemma":[0.00018552781,0.000103224505,0.0002094541,0.00046118096,0.00032276005,0.00038619005,0.0003330539,0.00019958825,0.0002206129],"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":[0.00020157715,0.000017650153,0.012475728,0.00008749388,0.00003629321,0.0002595232,0.000102484235,0.00021836818,0.9816089,0.0009938054,0.000066441964,0.0039317072],"study_design_scores_gemma":[0.000022162125,0.00020187016,0.25822106,0.00003653363,0.00015813601,0.0040058293,0.00046549118,0.004448074,0.719649,0.0037731132,0.008991446,0.000027440297],"about_ca_topic_score_codex":0.00033041375,"about_ca_topic_score_gemma":0.000497196,"teacher_disagreement_score":0.00078933215,"about_ca_system_score_codex":0.00020983748,"about_ca_system_score_gemma":0.00017438464,"threshold_uncertainty_score":0.0025222898},"labels":[],"label_agreement":null},{"id":"W2475257508","doi":"10.1039/c6mb00289g","title":"Mastitomics, the integrated omics of bovine milk in an experimental model of <i>Streptococcus uberis</i> mastitis: 3. Untargeted metabolomics","year":2016,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Infection and Immunity","funders":"Biotechnology and Biological Sciences Research Council; University of Glasgow; Zoetis; Scottish Government; Rural and Environment Science and Analytical Services Division; Wellcome Trust; Wellcome","keywords":"Streptococcus uberis; Metabolomics; Metabolite; Mastitis; Biology; Metabolome; Udder; Biochemistry; Microbiology; Streptococcus; Bacteria; Bioinformatics; Genetics","score_opus":0.02135745875960163,"score_gpt":0.23122515050477346,"score_spread":0.20986769174517184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2475257508","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9750074,0.00561182,0.007965788,0.00035651002,0.00008723154,0.000169216,0.009172807,0.00021158457,0.0014175243],"genre_scores_gemma":[0.93680406,0.006561467,0.031215169,0.00090503,0.000081798054,0.00052260986,0.019193007,0.000107192245,0.004609761],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997222,0.000033489687,0.000017653916,0.00007578665,0.000102751765,0.00004818772],"domain_scores_gemma":[0.9998921,0.000012251557,0.00003288526,0.000010098984,0.000025107847,0.000027509172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003831524,0.00058606145,0.0006156062,0.0009038519,0.00036224665,0.00077096437,0.0002165934,0.00061755104,0.00093059713],"category_scores_gemma":[0.00015897298,0.00019622342,0.00058106426,0.0007364485,0.00031934847,0.00028961472,0.0003881882,0.00057193515,0.0002545893],"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":[0.00066897046,0.000052076422,0.0016602036,0.00011131706,0.000025941235,0.00007413639,0.000025917052,0.00008505983,0.9940445,0.000033993296,0.00007567225,0.00314218],"study_design_scores_gemma":[0.000094413896,0.0026528372,0.20295866,0.00008361641,0.00034813103,0.0012959016,0.00034773137,0.0038745985,0.7742627,0.00032684518,0.013691432,0.000063080035],"about_ca_topic_score_codex":0.0013485465,"about_ca_topic_score_gemma":0.0021203363,"teacher_disagreement_score":0.0013485465,"about_ca_system_score_codex":0.0004014479,"about_ca_system_score_gemma":0.00040043067,"threshold_uncertainty_score":0.0031132102},"labels":[],"label_agreement":null},{"id":"W2507059477","doi":"10.1039/c6mb00386a","title":"ICN: a normalization method for gene expression data considering the over-expression of informative genes","year":2016,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Northwest Territories","funders":"","keywords":"Normalization (sociology); Gene; Gene expression; Expression (computer science); Gene expression profiling; Biology; Computational biology; Microarray analysis techniques; Genetics; Microarray; DNA microarray; Bioinformatics; Computer science","score_opus":0.028898136946282193,"score_gpt":0.31032051598940685,"score_spread":0.28142237904312467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2507059477","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":[0.013458206,0.00064094167,0.97879744,0.000105351864,0.00017264816,0.00015523647,0.0011478149,0.0043839905,0.0011383281],"genre_scores_gemma":[0.11973351,0.00075141026,0.86649317,0.00027842217,0.00015219598,0.0010827904,0.007411645,0.0014309378,0.0026658664],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9956054,0.00084882986,0.0003532148,0.0014999444,0.0014934129,0.0001991162],"domain_scores_gemma":[0.99590814,0.0015527064,0.0005428475,0.0007556833,0.0011526432,0.00008796445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066096545,0.0017752615,0.0016189982,0.003942387,0.00083009014,0.001584191,0.0012683758,0.0009523968,0.0019038807],"category_scores_gemma":[0.011116555,0.00053389993,0.0014562481,0.0048538256,0.0011718817,0.0009904088,0.0011445764,0.0020028471,0.0012227491],"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":[0.0007191264,0.0002488768,0.015298809,0.0009103945,0.0006619285,0.00037779787,0.00042387968,0.06414808,0.13164765,0.009312272,0.013827222,0.76242393],"study_design_scores_gemma":[0.00006234235,0.00024666073,0.03066331,0.00015914682,0.0002032454,0.0008402463,0.0001662174,0.82070196,0.100662746,0.015082926,0.030978762,0.00023247195],"about_ca_topic_score_codex":0.0041953474,"about_ca_topic_score_gemma":0.0057505467,"teacher_disagreement_score":0.0066096545,"about_ca_system_score_codex":0.0014923825,"about_ca_system_score_gemma":0.002093398,"threshold_uncertainty_score":0.03495556},"labels":[],"label_agreement":null},{"id":"W2524137177","doi":"10.1039/c6mb00506c","title":"Molecular dynamics studies on the DNA-binding process of ERG","year":2016,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kensington Health","funders":"Deutscher Akademischer Austauschdienst; British Heart Foundation","keywords":"DNA; Computational biology; Erg; Transcription factor; DNA binding site; DNA sequencing; Biology; Molecular dynamics; Genetics; Chemistry; Gene; Biochemistry; Promoter; Gene expression; Computational chemistry","score_opus":0.008038647519345883,"score_gpt":0.2548582040827169,"score_spread":0.24681955656337104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2524137177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97502184,0.00057118275,0.013062023,0.00082620286,0.00007459043,0.000080565085,0.0005959199,0.00018227567,0.009585373],"genre_scores_gemma":[0.9882429,0.00044728015,0.008543187,0.00012748432,0.00003144338,0.00021376784,0.001049245,0.000084252504,0.0012604619],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997975,0.00004559256,0.000008217895,0.000033332693,0.000050904633,0.000064428394],"domain_scores_gemma":[0.99948066,0.00024075044,0.00003682473,0.00003984708,0.00010912556,0.00009279242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042962414,0.00071355933,0.0009686315,0.0006780131,0.0015526643,0.0006886015,0.0012268651,0.0010738801,0.0025356251],"category_scores_gemma":[0.001208171,0.00045448856,0.0007505306,0.000677837,0.0009998817,0.0009983663,0.0006519293,0.0011986529,0.00024133515],"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":[0.0003109513,0.00032400462,0.0038400504,0.00015154122,0.00013237566,0.00032227795,0.00034034756,0.9620907,0.014080213,0.013634315,0.00114839,0.003624856],"study_design_scores_gemma":[0.00005732709,0.000054691976,0.0009445093,0.000010356482,0.00001500299,0.000012106418,0.000037921076,0.9963168,0.0009404646,0.0011579369,0.00043873064,0.000014066572],"about_ca_topic_score_codex":0.014470507,"about_ca_topic_score_gemma":0.007455222,"teacher_disagreement_score":0.014470507,"about_ca_system_score_codex":0.0014874183,"about_ca_system_score_gemma":0.0014846879,"threshold_uncertainty_score":0.028772593},"labels":[],"label_agreement":null},{"id":"W2548181354","doi":"10.1039/c6mb00441e","title":"Probing oligomerization of amyloid beta peptide <i>in silico</i>","year":2016,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; National Institute for Nanotechnology; Alberta Hospital Edmonton; University of Alberta","funders":"Western Canada Research Grid; Compute Canada","keywords":"In silico; Amyloid (mycology); Peptide; BETA (programming language); Computational biology; Amyloid beta; Chemistry; Biochemistry; Bioinformatics; Biology; Computer science; Gene; Botany","score_opus":0.013697800938606234,"score_gpt":0.26912651426237283,"score_spread":0.2554287133237666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2548181354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944084,0.000059488448,0.004008782,0.000033431977,0.000011653488,0.00001045509,0.00015912968,0.000096961325,0.0012115827],"genre_scores_gemma":[0.9963911,0.000062343985,0.003016868,0.000021065722,0.0000022016377,0.000019698882,0.00022944403,0.000017907783,0.00023926578],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999355,0.000012081386,0.0000033784365,0.000016595075,0.000018001316,0.000014525175],"domain_scores_gemma":[0.9998698,0.00005830141,0.000020241761,0.000012679975,0.000023783663,0.00001512367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001371204,0.00024185,0.00023071405,0.00012477502,0.00017196922,0.00027078803,0.00032290778,0.00034853813,0.0011041258],"category_scores_gemma":[0.00028891093,0.00015437427,0.00026008624,0.00013685471,0.00015558189,0.00023129399,0.00016902851,0.00034946157,0.00017344853],"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":[0.00036137397,0.0003407631,0.011694356,0.00018943763,0.00016841173,0.00035286762,0.00019182263,0.35092306,0.62702453,0.0013405503,0.00070613815,0.0067066364],"study_design_scores_gemma":[0.000026169364,0.0004390695,0.0047026128,0.000009113761,0.000029264334,0.00006570312,0.000057736364,0.87890327,0.11476417,0.00032430055,0.0006595414,0.000019117197],"about_ca_topic_score_codex":0.0010762366,"about_ca_topic_score_gemma":0.0007759875,"teacher_disagreement_score":0.0011041258,"about_ca_system_score_codex":0.00022565998,"about_ca_system_score_gemma":0.00016021672,"threshold_uncertainty_score":0.0036936402},"labels":[],"label_agreement":null},{"id":"W2556739841","doi":"10.1039/c6mb00639f","title":"Advancement of mass spectrometry-based proteomics technologies to explore triple negative breast cancer","year":2016,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saskatoon Medical Imaging; University of Saskatchewan","funders":"National Institute of General Medical Sciences; National Institutes of Health","keywords":"Triple-negative breast cancer; Proteomics; Mass spectrometry; Breast cancer; Computational biology; Chemistry; Cancer; Computer science; Biology; Medicine; Chromatography; Internal medicine; Biochemistry","score_opus":0.029824587627287364,"score_gpt":0.3305014516303182,"score_spread":0.30067686400303084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2556739841","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":[0.00038825328,0.99497175,0.0013365689,0.00029266105,0.0002002631,0.000011715889,0.000046400743,0.000022252707,0.0027300988],"genre_scores_gemma":[0.0017196997,0.99514127,0.0013895317,0.00026058962,0.00016860847,0.000013580106,0.0000696396,0.0000055292335,0.0012316386],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997013,0.00004150454,0.00002710459,0.00006583618,0.00013350805,0.00003076958],"domain_scores_gemma":[0.9996294,0.00014899347,0.000047682657,0.000014196942,0.00012764656,0.00003217352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007811851,0.00095812016,0.0010538087,0.0035637212,0.00030835334,0.00092158426,0.00079643884,0.0011121093,0.002980799],"category_scores_gemma":[0.00083750964,0.00036627325,0.00072334736,0.002808239,0.00045810785,0.0016534083,0.00085209194,0.001846916,0.0029485223],"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":[0.00008298635,0.00010890378,0.000714741,0.018817147,0.00015703366,0.0005789645,0.00012645016,0.0005092114,0.02174224,0.0077573895,0.021378981,0.928026],"study_design_scores_gemma":[0.000009991386,0.00013555467,0.0013161642,0.0018627256,0.0001241798,0.0030814817,0.00008340274,0.00028980727,0.007682131,0.003839901,0.9815276,0.000046965924],"about_ca_topic_score_codex":0.0007181369,"about_ca_topic_score_gemma":0.0010374765,"teacher_disagreement_score":0.0035637212,"about_ca_system_score_codex":0.000604599,"about_ca_system_score_gemma":0.0008078499,"threshold_uncertainty_score":0.009971738},"labels":[],"label_agreement":null},{"id":"W2567755524","doi":"10.1039/c6mb00795c","title":"The DNA target determines the dimerization partner selected by bHLHZ-like hybrid proteins AhRJun and ArntFos","year":2017,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Celiac Association; College of Family Physicians of Canada; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"DNA; Computational biology; Chemistry; Biology; Cell biology; Genetics; Evolutionary biology; Biochemistry","score_opus":0.003459194337441274,"score_gpt":0.20388696816492846,"score_spread":0.2004277738274872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2567755524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99403965,0.00028164487,0.0039353212,0.000039249517,0.000021470729,0.000024234925,0.000107191605,0.00007574856,0.0014756019],"genre_scores_gemma":[0.99384046,0.00009061868,0.0020157548,0.000047925558,0.0000079453885,0.000018360051,0.0004945327,0.000027817716,0.0034566827],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997067,0.00004070626,0.000017696426,0.00008341023,0.000087305285,0.00006414837],"domain_scores_gemma":[0.99983835,0.000026416352,0.00003207714,0.000012466199,0.000013661677,0.00007701514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020795963,0.0002802019,0.0001492189,0.00020881301,0.00019916565,0.00029135423,0.00024531918,0.00023263248,0.002475411],"category_scores_gemma":[0.00011433261,0.00017835581,0.00018662447,0.0001427394,0.00021394283,0.00015385552,0.00031080956,0.00041743155,0.0007749127],"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":[0.000031770207,0.000014872898,0.00022553657,0.0000055350206,0.0000027024641,0.000022156093,0.0000072395324,0.000024628273,0.99927336,0.00007472428,0.000017336171,0.00030001177],"study_design_scores_gemma":[0.000013559649,0.00012898479,0.0049601956,0.0000026910027,0.00001225274,0.00030540524,0.000064378604,0.0015367332,0.99013853,0.000051664636,0.0027781276,0.0000074606924],"about_ca_topic_score_codex":0.00016059374,"about_ca_topic_score_gemma":0.00032602367,"teacher_disagreement_score":0.002475411,"about_ca_system_score_codex":0.00030024917,"about_ca_system_score_gemma":0.00009144184,"threshold_uncertainty_score":0.008281052},"labels":[],"label_agreement":null},{"id":"W2608663758","doi":"10.1039/c7mb00095b","title":"Characterization of the structure, dynamics and allosteric pathways of human NPP1 in its free form and substrate-bound complex from molecular modeling","year":2017,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre in Green Chemistry and Catalysis; Université Laval; PROTEO","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Allosteric regulation; Characterization (materials science); Dynamics (music); Molecular dynamics; Substrate (aquarium); Biological system; Substrate specificity; Chemistry; Computational biology; Biophysics; Biology; Nanotechnology; Computational chemistry; Materials science; Biochemistry; Psychology; Ecology; Enzyme","score_opus":0.02137213287756655,"score_gpt":0.24197549016594813,"score_spread":0.2206033572883816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608663758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97224605,0.00039426686,0.022559434,0.00024550257,0.000023012224,0.00002807105,0.00072145456,0.00026206317,0.0035201048],"genre_scores_gemma":[0.986419,0.00045081766,0.010433912,0.000040097428,0.000007482764,0.000097328615,0.0016548855,0.0000813107,0.00081516185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999913,0.000015457343,0.00000478822,0.000023688619,0.000024051977,0.000019001294],"domain_scores_gemma":[0.99988866,0.00004194537,0.000016431935,0.000015694752,0.000019737927,0.000017489367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015396223,0.0006054109,0.00047653928,0.00025896583,0.00056069874,0.0004607396,0.0007139651,0.0006865829,0.0017477566],"category_scores_gemma":[0.00038054475,0.000353107,0.0006635519,0.00030681674,0.0003468321,0.000556403,0.0002638718,0.0006228862,0.00029161683],"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":[0.00018970756,0.0002856568,0.0072312998,0.000172357,0.0001617624,0.0005823815,0.0002516404,0.9201277,0.057586484,0.0053256657,0.0009628316,0.00712256],"study_design_scores_gemma":[0.000015711228,0.000049533497,0.0013613752,0.000004868987,0.000016795098,0.00004080425,0.000035446512,0.99283653,0.004282311,0.00069834676,0.00064351596,0.000014641515],"about_ca_topic_score_codex":0.00685416,"about_ca_topic_score_gemma":0.0053269626,"teacher_disagreement_score":0.00685416,"about_ca_system_score_codex":0.00076966215,"about_ca_system_score_gemma":0.0006255973,"threshold_uncertainty_score":0.013628483},"labels":[],"label_agreement":null},{"id":"W2734055568","doi":"10.1039/c7mb00360a","title":"Structural switch from a multistranded G-quadruplex to single strands as a consequence of point mutation in the promoter of the human <i>GRIN1</i> gene","year":2017,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"DNA and Nucleic Acid Chemistry","field":"Biochemistry, Genetics and Molecular Biology","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":"Innovation Cluster (Canada)","funders":"University of Delhi","keywords":"Point mutation; Genetics; Gene; Mutation; Biology; G-quadruplex; Molecular biology; DNA","score_opus":0.013683746858947729,"score_gpt":0.2659795790999474,"score_spread":0.25229583224099966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734055568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930165,0.0005194461,0.0046372227,0.0001713971,0.0001256996,0.000065591186,0.0004489793,0.00024797095,0.00076719275],"genre_scores_gemma":[0.99769527,0.00010820896,0.0013875706,0.000094065676,0.000015875174,0.000018683737,0.00018845861,0.0000374713,0.0004544151],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979526,0.00005770378,0.000026196529,0.000056649238,0.000041968826,0.000022227066],"domain_scores_gemma":[0.9994918,0.00011853069,0.00023648547,0.000043339714,0.000036779693,0.000072967494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018608358,0.00031491645,0.0002533266,0.00023491085,0.00015617539,0.00015677339,0.00025888535,0.00044236836,0.002837257],"category_scores_gemma":[0.0003677988,0.00013384025,0.00035619098,0.00011717225,0.00028884318,0.00010433643,0.00019722282,0.00038186007,0.00076574425],"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":[0.00018537094,0.000046179368,0.0005937932,0.00005488927,0.000027724709,0.0007649612,0.000030424497,0.00012394816,0.99669003,0.00011326377,0.00008123977,0.0012882156],"study_design_scores_gemma":[0.00010547397,0.0010683845,0.018792337,0.000038283328,0.000094165356,0.0067170216,0.000069792004,0.0034654452,0.9659114,0.00040956298,0.0032868304,0.000041333442],"about_ca_topic_score_codex":0.00028521076,"about_ca_topic_score_gemma":0.00025651683,"teacher_disagreement_score":0.002837257,"about_ca_system_score_codex":0.00016338164,"about_ca_system_score_gemma":0.0000951261,"threshold_uncertainty_score":0.009491622},"labels":[],"label_agreement":null},{"id":"W2766575289","doi":"10.1039/c7mb00498b","title":"The nucleosomal surface is the main target of histone ADP-ribosylation in response to DNA damage","year":2017,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"PARP inhibition in cancer therapy","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"National Institute of General Medical Sciences; National Cancer Institute; National Institute of Environmental Health Sciences; Canadian Institutes of Health Research","keywords":"Histone; ADP-ribosylation; DNA damage; DNA repair; Nucleosome; DNA; Biology; Poly ADP ribose polymerase; Cell biology; NAD+ kinase; Biochemistry; Chemistry; Enzyme; Polymerase","score_opus":0.01509955947989242,"score_gpt":0.3346707639556706,"score_spread":0.31957120447577814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766575289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871939,0.0032811912,0.0065381136,0.00009406779,0.000038951457,0.000020388861,0.00068206916,0.000083492814,0.0020678206],"genre_scores_gemma":[0.9934409,0.0007192523,0.0021831489,0.00005626199,0.000010994011,0.000016790647,0.0006838776,0.000023691575,0.0028651422],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998661,0.000013149377,0.0000065273975,0.000042960248,0.000046178535,0.000025065037],"domain_scores_gemma":[0.9998435,0.00002271619,0.000045132012,0.00001634034,0.000034703593,0.000037527177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011166852,0.00020424869,0.00021577078,0.00023777284,0.00015927128,0.00034693544,0.00017854501,0.0002833804,0.0019986092],"category_scores_gemma":[0.0001634114,0.0001555982,0.00019308554,0.00018078367,0.00022280819,0.00019412224,0.0002177646,0.00033365615,0.0005870442],"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":[0.00006051417,0.0000036285826,0.00044786726,0.000014355594,0.0000044001595,0.000013848007,0.000007986648,0.000019469946,0.9986469,0.000028080418,0.000016199814,0.0007368586],"study_design_scores_gemma":[0.000005454264,0.00017179405,0.057856947,0.0000068450163,0.000024743733,0.00028972406,0.00006717173,0.001069893,0.9380855,0.00012088188,0.002294016,0.000007161246],"about_ca_topic_score_codex":0.0004845319,"about_ca_topic_score_gemma":0.0005476562,"teacher_disagreement_score":0.0019986092,"about_ca_system_score_codex":0.00017174357,"about_ca_system_score_gemma":0.00009819712,"threshold_uncertainty_score":0.006685972},"labels":[],"label_agreement":null}]}