{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008700747,0.0002040452,0.0002460786,0.00009366364,0.0001769364,0.0001195812,0.0006774279,0.0001477187,0.0002556267],"category_scores_gemma":[0.000511913,0.00009371673,0.0001011492,0.0001003678,0.0008747207,0.000008305535,0.0001787585,0.0006652556,0.00004312948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003915379,"about_ca_system_score_gemma":0.0002992661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001963362,"about_ca_topic_score_gemma":0.00003584756,"domain_scores_codex":[0.9981658,0.0003048425,0.0005326509,0.0002659519,0.0005164421,0.0002142799],"domain_scores_gemma":[0.9977493,0.0008092588,0.0004834944,0.0001586767,0.0007170204,0.00008225335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02181743,0.001341733,0.01287307,0.00003288723,0.004425435,0.00002210756,0.003449395,0.2598768,0.08319228,0.4427778,0.0173023,0.1528888],"study_design_scores_gemma":[0.009857105,0.01515692,0.06798372,0.0005805246,0.0001692249,0.0003793039,0.005312579,0.6341226,0.01102133,0.1902364,0.0637975,0.001382845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8501844,0.0002497965,0.02679018,0.1155385,0.001504331,0.0006028435,0.0002007898,0.0000140013,0.004915092],"genre_scores_gemma":[0.9941687,0.0003924801,0.0008960599,0.003506102,0.0004700574,0.000006716146,0.0004142805,0.000009856388,0.0001357637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3742458,"threshold_uncertainty_score":0.3821657,"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."}}