{"id":"W2018410079","doi":"10.1002/prot.21804","title":"Docking and scoring protein complexes: CAPRI 3rd Edition","year":2007,"lang":"en","type":"article","venue":"Proteins Structure Function and Bioinformatics","topic":"Enzyme Structure and Function","field":"Materials Science","cited_by":355,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Institute of Genetics; Canadian Institutes of Health Research; University of Toronto","keywords":"Docking (animal); Computational biology; Computer science; Artificial intelligence; Machine learning; Biology; Medicine","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":[0.004615696,0.006014321,0.004142697,0.004328724,0.001294296,0.006510605,0.01313696,0.002483386,0.1006354],"category_scores_gemma":[0.008609201,0.005487099,0.003702091,0.003547351,0.0009512555,0.00286098,0.004499802,0.006355047,0.1367026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002081811,"about_ca_system_score_gemma":0.002148198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005147673,"about_ca_topic_score_gemma":0.006155337,"domain_scores_codex":[0.9972959,0.0003926602,0.0002386955,0.0004168539,0.001420614,0.0002352626],"domain_scores_gemma":[0.9957349,0.0008642426,0.000181599,0.001290438,0.001712261,0.0002166174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004785088,0.000218264,0.0007504689,0.001240277,0.0003570397,0.0001914381,0.0001623048,0.01248516,0.005967908,0.007091717,0.8231407,0.1479162],"study_design_scores_gemma":[0.0005890626,0.0002268305,0.003213847,0.0007313569,0.000202763,0.001010775,0.00007060252,0.1436473,0.0300377,0.02710603,0.7926921,0.0004717406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002278681,0.004687504,0.4944504,0.0006591326,0.001111906,0.0008186352,0.04704412,0.4102241,0.03872561],"genre_scores_gemma":[0.0162383,0.005850002,0.5761307,0.001366982,0.000425751,0.004084182,0.1921405,0.1341685,0.06959517],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1006354,"threshold_uncertainty_score":0.336659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009686016743464136,"score_gpt":0.2151971343064413,"score_spread":0.2055111175629772,"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."}}