{"id":"W3215719399","doi":"10.7554/elife.68292","title":"Author-sourced capture of pathway knowledge in computable form using Biofactoid","year":2021,"lang":"en","type":"article","venue":"eLife","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Lunenfeld-Tanenbaum Research Institute; University Health Network; University of Toronto","funders":"National Human Genome Research Institute; National Institute of General Medical Sciences; Defense Advanced Research Projects Agency","keywords":"Representation (politics); Knowledge representation and reasoning; Sociology of scientific knowledge; Scientific discovery; Knowledge integration; Knowledge extraction","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002171589,0.001317328,0.001154788,0.004728362,0.001006968,0.005048925,0.002154226,0.001377849,0.01682794],"category_scores_gemma":[0.01303802,0.0006664466,0.002736902,0.004394964,0.0009338559,0.004340673,0.003054124,0.001797112,0.005044291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001938537,"about_ca_system_score_gemma":0.004706241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00651501,"about_ca_topic_score_gemma":0.01236558,"domain_scores_codex":[0.9990374,0.0002163665,0.0001349639,0.0002471505,0.0003147752,0.00004938175],"domain_scores_gemma":[0.9944236,0.002868479,0.0002972619,0.001470292,0.0008212976,0.0001190766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007628755,0.0002331165,0.006244629,0.005331001,0.0004699735,0.002218777,0.00154865,0.318103,0.01533975,0.3408124,0.06627721,0.2426586],"study_design_scores_gemma":[0.0001872598,0.00006963283,0.0007148258,0.0006156376,0.0001631055,0.0005201648,0.0003794632,0.3731076,0.02065092,0.3154432,0.2880352,0.0001129929],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01250296,0.001301079,0.8977225,0.001312669,0.0003623859,0.0002349456,0.04917314,0.02078213,0.01660819],"genre_scores_gemma":[0.1405751,0.002566885,0.7641273,0.000374662,0.00008557613,0.0008626311,0.08395129,0.001889691,0.005566998],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01682794,"threshold_uncertainty_score":0.0562951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0523164477651725,"score_gpt":0.334094476362342,"score_spread":0.2817780285971695,"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."}}