{"id":"W2047873655","doi":"10.1016/s0097-8485(00)80012-1","title":"Intelligent systems in molecular biology (ISMB98), 27 June–1 July, 1998, Montreal","year":2000,"lang":"en","type":"article","venue":"Computers & Chemistry","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biology; Library science; Environmental ethics; Computational biology; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003732996,0.0004564914,0.0005792347,0.0001001234,0.00007815359,0.000237268,0.002364375,0.0002827811,0.00004217304],"category_scores_gemma":[0.00002298085,0.000471226,0.0002002546,0.0006506782,0.0001736114,0.0001784731,0.000711042,0.0004682725,0.0002507704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002816019,"about_ca_system_score_gemma":0.0001221991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000377113,"about_ca_topic_score_gemma":0.000009491882,"domain_scores_codex":[0.9967313,0.00014905,0.0007288529,0.001262093,0.00032492,0.0008037533],"domain_scores_gemma":[0.9978398,0.0002057359,0.0001360804,0.001465375,0.00006707673,0.000285912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008483858,0.002191216,0.002142629,0.0008199508,0.0003072374,0.002016109,0.003204746,0.1281964,0.0384561,0.003109985,0.01657563,0.8028952],"study_design_scores_gemma":[0.001208854,0.0001187957,0.0005525254,0.0001870997,0.00001753237,0.0003785565,0.0000339298,0.9017195,0.01852524,0.00693125,0.06908497,0.001241813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1301043,0.00307738,0.8552217,0.000745285,0.002643498,0.000554471,0.00001345967,0.0007175417,0.006922407],"genre_scores_gemma":[0.9446504,0.0001566607,0.05251319,0.0005971708,0.000588771,0.00007614436,0.00005994095,0.0000603911,0.001297373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8145461,"threshold_uncertainty_score":0.9997739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009038390683431938,"score_gpt":0.2348205717300241,"score_spread":0.2257821810465922,"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."}}