{"id":"W1979164183","doi":"10.1002/cfg.215","title":"Meeting review: Intelligent Systems for Molecular Biology 2002 (ISMB02)","year":2002,"lang":"en","type":"article","venue":"Comparative and Functional Genomics","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Library science; Art history; Environmental ethics; Data science; Computational biology; History; Biology; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003689528,0.00233263,0.00260095,0.003692295,0.001498178,0.005764331,0.002787506,0.00629427,0.04351496],"category_scores_gemma":[0.004471601,0.0007225326,0.001338733,0.003598349,0.00135239,0.00385107,0.002305592,0.007146561,0.06286823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003189301,"about_ca_system_score_gemma":0.004026482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00377727,"about_ca_topic_score_gemma":0.004977424,"domain_scores_codex":[0.9983125,0.0002454035,0.0001697124,0.0003194879,0.000736451,0.0002165635],"domain_scores_gemma":[0.9911559,0.0009277475,0.0004051871,0.000234999,0.005502497,0.001773723],"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":[0.00006854464,0.00003520547,0.00004224999,0.0007608971,0.00002269555,0.00004721232,0.00001217856,0.0001088924,0.0003229359,0.001404509,0.9280231,0.06915154],"study_design_scores_gemma":[0.00002088124,0.00003235337,0.0002359492,0.0004840354,0.00003382397,0.00008836095,0.00001413585,0.00007311498,0.0001358947,0.000811075,0.9980578,0.0000125358],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.0005512506,0.5149463,0.003568082,0.08140097,0.3512714,0.0002539101,0.00071007,0.0005372284,0.04676075],"genre_scores_gemma":[0.005271868,0.5171252,0.003352769,0.05319829,0.2146787,0.0003760691,0.002683455,0.0003715777,0.202942],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.04351496,"threshold_uncertainty_score":0.1455721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07821087889069372,"score_gpt":0.3214664407219208,"score_spread":0.243255561831227,"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."}}