{"id":"W2952149733","doi":"10.1089/cmb.2019.29020.abd","title":"Selected Papers from the Workshop on Computational Biology: Joint with the International Joint Conference on Artificial Intelligence and the International Conference on Machine Learning, 2018","year":2019,"lang":"en","type":"article","venue":"Journal of Computational Biology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Library science; Artificial intelligence; Computer science; Operations research; Engineering","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":[0.003965608,0.001896069,0.002125696,0.004847259,0.002118594,0.007630957,0.002006924,0.001890563,0.1603516],"category_scores_gemma":[0.007020819,0.0004241635,0.001509362,0.004444852,0.0005840434,0.003795847,0.003421128,0.002933922,0.08036314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002249765,"about_ca_system_score_gemma":0.004169448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00254743,"about_ca_topic_score_gemma":0.007171513,"domain_scores_codex":[0.9977158,0.0002983373,0.0001441355,0.0004176728,0.001181803,0.0002423202],"domain_scores_gemma":[0.987703,0.001230991,0.0002781066,0.0003681007,0.007047399,0.003372394],"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":[0.00009303913,0.00004556108,0.0001693394,0.000360197,0.00001696278,0.00005225617,0.00004207182,0.0001830831,0.0005970224,0.0008113745,0.9373579,0.06027121],"study_design_scores_gemma":[0.00003905526,0.00004729989,0.0007505908,0.0003425945,0.00002953401,0.00007258997,0.000131937,0.0004167182,0.0007020681,0.002339242,0.9951024,0.00002596894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.004531837,0.09934098,0.02655366,0.09833416,0.6140745,0.001131978,0.01052021,0.001881412,0.1436312],"genre_scores_gemma":[0.01212993,0.06386824,0.01190007,0.009424947,0.1382382,0.0006068247,0.0169839,0.00256284,0.7442851],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1603516,"threshold_uncertainty_score":0.5364295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04208591819186735,"score_gpt":0.2997319721082747,"score_spread":0.2576460539164073,"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."}}