{"id":"W830547093","doi":"10.1016/j.semcdb.2015.07.001","title":"How computational models can help unlock biological systems","year":2015,"lang":"en","type":"review","venue":"Seminars in Cell and Developmental Biology","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":241,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Causation; Computational model; Variety (cybernetics); Mechanism (biology); Biology; Computer science; Cognitive science; Field (mathematics); Scale (ratio); Data science; Artificial intelligence; Epistemology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004426112,0.001900589,0.001465698,0.002889295,0.0008330949,0.004350841,0.002362389,0.003777352,0.00541625],"category_scores_gemma":[0.008198247,0.000851538,0.001233392,0.001617489,0.008235599,0.01118466,0.002958188,0.0070354,0.002164443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002340058,"about_ca_system_score_gemma":0.002362699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001874842,"about_ca_topic_score_gemma":0.001726698,"domain_scores_codex":[0.9983463,0.0009022838,0.00008604,0.0001902055,0.0004050998,0.00006999493],"domain_scores_gemma":[0.9937413,0.005249799,0.0001611003,0.0003983613,0.0003257072,0.0001237426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001197619,0.00001462603,0.0001380881,0.001573193,0.00009056045,0.0000858992,0.0003156647,0.009100442,0.0002160962,0.9064445,0.01325715,0.06875191],"study_design_scores_gemma":[0.000009293143,0.00001485505,0.00007389407,0.0009204294,0.00002672425,0.0001271714,0.000112814,0.004402393,0.000179474,0.7561923,0.2379084,0.00003211647],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001514283,0.6594365,0.2229184,0.06127156,0.003049835,0.0000654191,0.0002269974,0.0005906649,0.05092643],"genre_scores_gemma":[0.06684979,0.8001167,0.1086275,0.01006979,0.004188716,0.0003030088,0.0003655294,0.0003274567,0.009151475],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00541625,"threshold_uncertainty_score":0.02340776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1025231426873531,"score_gpt":0.3252285617962306,"score_spread":0.2227054191088774,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}