{"id":"W3009991533","doi":"10.1016/j.msom.2019.12.073","title":"Classification automatique et patient-dépendante des stades de sommeil, basée sur un processus de machine learning s’inspirant de la lecture manuelle","year":2020,"lang":"fr","type":"article","venue":"Médecine du Sommeil","topic":"Sleep and Wakefulness Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Humanities; Medicine; Philosophy","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":[0.001879599,0.001101085,0.0008400729,0.001747809,0.0004903327,0.002326705,0.0006855975,0.002071712,0.003010743],"category_scores_gemma":[0.01011867,0.0003334046,0.001353772,0.0009136264,0.0005731152,0.001084264,0.0005440782,0.001845464,0.001267973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008283649,"about_ca_system_score_gemma":0.0009107201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02151575,"about_ca_topic_score_gemma":0.01959793,"domain_scores_codex":[0.9985995,0.0003993178,0.0001270994,0.0003485291,0.000376267,0.000149234],"domain_scores_gemma":[0.9957032,0.002906696,0.0003014374,0.0002791602,0.0006573313,0.0001521137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002136078,0.0003779212,0.4005217,0.0002571116,0.0005469423,0.002061381,0.001161907,0.02839257,0.0312636,0.003026965,0.007045398,0.5232084],"study_design_scores_gemma":[0.0001057625,0.0006294051,0.5167438,0.0001440947,0.0002261948,0.004971154,0.0008778098,0.4263127,0.03158429,0.006661906,0.01152606,0.0002167825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7645331,0.002958025,0.2166347,0.003900801,0.0008082,0.0001593743,0.003050857,0.002364779,0.005590168],"genre_scores_gemma":[0.9443871,0.0008984882,0.0455997,0.0002372373,0.0003356541,0.00009561735,0.00192991,0.0001647123,0.006351667],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02151575,"threshold_uncertainty_score":0.04278105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05590152466706857,"score_gpt":0.2895982830450021,"score_spread":0.2336967583779335,"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."}}