{"id":"W7098164046","doi":"","title":"FACULTÉ DES ÉTUDES SUPÉRIEURES","year":2014,"lang":"en","type":"article","venue":"","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Term (time); Context (archaeology)","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":[],"consensus_categories":[],"category_scores_codex":[0.0001272402,0.00008335598,0.00006108372,0.00001499908,0.00006174675,0.00002349833,0.000136037,0.00006407279,0.0000774224],"category_scores_gemma":[0.0002064057,0.00006520933,0.00003907154,0.00002990523,0.00006434724,0.00000183502,0.00007795071,0.00004807205,0.00006066982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002620046,"about_ca_system_score_gemma":0.000009844006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001107342,"about_ca_topic_score_gemma":0.00004039411,"domain_scores_codex":[0.9995552,0.00002535933,0.0001051101,0.0001042787,0.00006996852,0.0001401105],"domain_scores_gemma":[0.9996822,0.000008661771,0.00002824399,0.0001969889,0.00003681173,0.00004707621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001170245,0.0001996033,0.1474338,0.0002864356,0.0002210036,0.00000184591,0.001093874,0.002815921,0.6181359,0.07872532,0.06793544,0.08303381],"study_design_scores_gemma":[0.0004642357,0.0004334632,0.02309022,0.000009200695,0.00001142592,0.00002616451,0.0001364362,0.003573563,0.1189908,0.0004326655,0.852493,0.0003388504],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7742761,0.00004270655,0.02574472,0.0001005891,0.00004924045,0.00005782269,0.000002091276,0.00004521133,0.1996815],"genre_scores_gemma":[0.9819292,0.00001364383,0.01422486,0.0005724779,0.000102982,0.000003428146,0.00004699215,0.0000104068,0.00309596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7845576,"threshold_uncertainty_score":0.2659159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009465576246912955,"score_gpt":0.2604670751469484,"score_spread":0.2510014989000355,"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."}}