{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002240542,0.002168475,0.002171297,0.007319933,0.001922039,0.005832236,0.005834222,0.002397991,0.1014138],"category_scores_gemma":[0.009338683,0.001273146,0.001574015,0.00978578,0.0004944387,0.004609275,0.00362256,0.002456422,0.1489363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001534031,"about_ca_system_score_gemma":0.003350828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003141347,"about_ca_topic_score_gemma":0.004310781,"domain_scores_codex":[0.9981293,0.0002611003,0.000356675,0.0004260614,0.0006726127,0.0001541534],"domain_scores_gemma":[0.9966686,0.0007899228,0.0003677024,0.001240132,0.0006282484,0.0003052709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005662756,0.0001534125,0.001550905,0.003354282,0.000208444,0.000265084,0.0002018151,0.001604507,0.003980735,0.03815019,0.8271711,0.1227932],"study_design_scores_gemma":[0.00009090432,0.00003130029,0.0005974329,0.0002708361,0.00005789389,0.0003100694,0.0000741933,0.001419152,0.002006275,0.01423581,0.9808726,0.00003345485],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.002866783,0.01235453,0.06635961,0.00248291,0.0007661351,0.0006315873,0.7443938,0.07937946,0.09076519],"genre_scores_gemma":[0.00635198,0.007612438,0.04133947,0.001221092,0.0001486372,0.0004671302,0.9244969,0.003822631,0.01453967],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1014138,"threshold_uncertainty_score":0.339263,"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."}}