{"id":"W4244734826","doi":"10.1002/0471223921.ch5","title":"Structure Databases","year":2001,"lang":"en","type":"article","venue":"Methods of biochemical analysis","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"","keywords":"Database; Computer science; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005464272,0.0001611092,0.00034516,0.0001956245,0.00004144354,0.00001346688,0.0003861954,0.000169035,0.0003066045],"category_scores_gemma":[0.0008719796,0.0001268037,0.0003303709,0.0008297813,0.0002998243,0.000003140926,0.0002782239,0.0001167053,0.000004527121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008139077,"about_ca_system_score_gemma":0.00004537839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005615794,"about_ca_topic_score_gemma":0.00002077788,"domain_scores_codex":[0.9984877,0.0001338057,0.0004146467,0.000328985,0.0003267626,0.0003080936],"domain_scores_gemma":[0.9988261,0.00006226422,0.0001177907,0.0006097887,0.0001796174,0.0002043881],"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":[0.00006122325,0.00006297803,0.004964225,0.0000298583,0.0006523019,0.00000117418,0.00001435972,0.00001353014,0.9684528,0.00001663363,0.00167782,0.02405309],"study_design_scores_gemma":[0.0002060861,0.00009114385,0.001857696,0.000004916365,0.0003478556,0.000004611661,0.00006716141,0.0008740045,0.9668356,0.0001461988,0.02939276,0.0001719914],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7688816,0.001126878,0.2285038,0.0002370702,0.00005787076,0.0000961228,0.0001507826,0.00001063897,0.0009352112],"genre_scores_gemma":[0.7202011,0.0007555373,0.2773376,0.0001784108,0.0001696943,0.000003876446,0.0008258456,0.000011198,0.0005167146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04883379,"threshold_uncertainty_score":0.5170904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03270762169782795,"score_gpt":0.3886964606962611,"score_spread":0.3559888389984331,"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."}}