{"id":"W4417074997","doi":"10.59350/f80tm-t9g42","title":"ISMB2024 – Demystifying the World of AI (and Publishing)","year":2024,"lang":"","type":"article","venue":"","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":"Cabinet (room); Expert system","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":[0.007257869,0.001017117,0.0006600825,0.003926647,0.002667297,0.01895214,0.001486459,0.005467363,0.2409194],"category_scores_gemma":[0.01073382,0.0005630608,0.0008708001,0.00434784,0.002529771,0.01165277,0.004193294,0.004652062,0.2008049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00310119,"about_ca_system_score_gemma":0.006099545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00413755,"about_ca_topic_score_gemma":0.00590052,"domain_scores_codex":[0.9965941,0.0005589994,0.0001631367,0.0002576759,0.001999656,0.0004263583],"domain_scores_gemma":[0.9895681,0.000863886,0.0004142777,0.001142732,0.003873656,0.004137439],"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":[0.00001477785,0.000009971874,0.00006769128,0.00007359852,0.000002879779,0.00002088054,0.00004500365,0.00005269565,0.0002345396,0.0149249,0.9462045,0.03834862],"study_design_scores_gemma":[0.000001574698,0.000004959575,0.0001447515,0.00004381218,7.602767e-7,0.00002122354,0.0000400002,0.00003072487,0.00005011894,0.002598208,0.9970605,0.000003335463],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.001190172,0.02110401,0.00495937,0.1474927,0.1506124,0.0000832936,0.003099256,0.004521847,0.666937],"genre_scores_gemma":[0.01172062,0.01552493,0.008169383,0.02618096,0.03213684,0.0001157896,0.004347698,0.003582042,0.8982218],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.2409194,"threshold_uncertainty_score":0.8059558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02359833254025081,"score_gpt":0.3111871404217401,"score_spread":0.2875888078814893,"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."}}