{"id":"W6955331845","doi":"10.58079/oq7w","title":"Mercredi 16 juin : Catherine Ferland et Benoît Grenier, de l'univ. de Sherbrooke","year":2010,"lang":"fr","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Theme (computing); Event (particle physics)","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":[0.002731646,0.0008736957,0.0009262122,0.0009846489,0.00897208,0.005225916,0.001312001,0.003482469,0.1274654],"category_scores_gemma":[0.005135215,0.0005805262,0.0004184557,0.0008610979,0.002805785,0.00217621,0.003600591,0.005645976,0.02871438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01426495,"about_ca_system_score_gemma":0.01753727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.366974,"about_ca_topic_score_gemma":0.6574734,"domain_scores_codex":[0.9978073,0.0003251236,0.00006564243,0.0005194336,0.0007822238,0.00050027],"domain_scores_gemma":[0.9948815,0.0005190547,0.0002433306,0.0001508362,0.001727745,0.002477456],"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":[0.00007303094,0.0000261755,0.001890722,0.00007902381,0.000006875768,0.0002661085,0.001404064,0.00005132476,0.0004618299,0.003105534,0.971322,0.02131318],"study_design_scores_gemma":[0.000004490068,0.000008514049,0.002972472,0.000066536,0.000001907389,0.00006460981,0.001146289,0.0000255639,0.0002231089,0.0001673604,0.9953056,0.00001346545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01325138,0.07972536,0.001492743,0.6853037,0.0916545,0.0001800257,0.002354031,0.000620558,0.1254177],"genre_scores_gemma":[0.01819904,0.00736796,0.0004156959,0.01836601,0.002832089,0.00006035311,0.0002506228,0.0002308713,0.9522773],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.366974,"threshold_uncertainty_score":0.7296759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007197924844726568,"score_gpt":0.2513801016192935,"score_spread":0.244182176774567,"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."}}