{"id":"W2027403155","doi":"10.1002/prot.22818","title":"Docking and scoring protein interactions: CAPRI 2009","year":2010,"lang":"en","type":"article","venue":"Proteins Structure Function and Bioinformatics","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":235,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Docking (animal); Computer science; Protein–protein interaction; Web server; Computational biology; Artificial intelligence; Machine learning; Biology; Medicine; Biochemistry; The Internet; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001394149,0.0001828933,0.0001221697,0.0000744631,0.0002334359,0.0001201535,0.00007427556,0.0001703805,0.00006864943],"category_scores_gemma":[0.00009992501,0.0001492747,0.0000337338,0.00006835192,0.00006556375,0.00003268909,0.00009093458,0.0002282353,0.000004104983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004356738,"about_ca_system_score_gemma":0.00002847734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001297448,"about_ca_topic_score_gemma":0.00005870372,"domain_scores_codex":[0.9992365,0.00001970722,0.0002403015,0.0001935339,0.0001190335,0.000190935],"domain_scores_gemma":[0.9994701,0.000005996452,0.0001323423,0.0002265617,0.00006373986,0.0001012949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000570216,0.000007243421,0.000352216,0.00007902162,0.00002227094,2.591175e-7,0.0000687699,0.000001991479,0.9256013,0.0008027776,0.00004421269,0.0729629],"study_design_scores_gemma":[0.0007613511,0.0004345375,0.002502804,0.00008702769,0.00003983954,0.0001861493,0.0002809138,0.0008441499,0.9351229,0.004676888,0.05455679,0.000506626],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721926,0.0002073109,0.02541992,0.0001518215,0.000441642,0.0007272461,0.00002199662,0.00003835705,0.0007990983],"genre_scores_gemma":[0.9720705,0.00003803142,0.02707571,0.0001856861,0.0002945983,0.000045296,0.00002651107,0.00001569549,0.0002479944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07245628,"threshold_uncertainty_score":0.6087245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006309381073471988,"score_gpt":0.2139351207148065,"score_spread":0.2076257396413345,"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."}}