{"id":"W6981916980","doi":"","title":"Fréquence et prédicteurs de cancer occulte en accident vasculaire cérébral ischémique","year":2021,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Mathematics Education and Programs","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cancer; Overall survival; Primary cancer","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":[0.01558233,0.0005791335,0.001474678,0.003384454,0.001101546,0.002037281,0.001219869,0.001361825,0.00909658],"category_scores_gemma":[0.04283291,0.000582398,0.002101245,0.004388953,0.0008806851,0.00133483,0.001261432,0.0009617432,0.001167426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001997106,"about_ca_system_score_gemma":0.006701076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00780154,"about_ca_topic_score_gemma":0.007665664,"domain_scores_codex":[0.9894377,0.004621793,0.002364646,0.00150809,0.001580623,0.0004871485],"domain_scores_gemma":[0.9769319,0.00986978,0.006005849,0.001756395,0.00484859,0.0005876081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03557227,0.0008173077,0.6206752,0.07329156,0.006599429,0.0004399416,0.003783021,0.001090914,0.002778508,0.004687108,0.02681281,0.2234519],"study_design_scores_gemma":[0.005965141,0.006316899,0.8522002,0.02760325,0.009939175,0.001423042,0.001588876,0.000820616,0.00399088,0.003643516,0.0862902,0.0002182227],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5223365,0.2351889,0.02044998,0.00667047,0.002315079,0.06231388,0.1091924,0.0003282448,0.0412046],"genre_scores_gemma":[0.7834257,0.05185932,0.02149366,0.003924388,0.0009338597,0.09925772,0.02808503,0.0001089213,0.01091129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01558233,"threshold_uncertainty_score":0.08240825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218460861933345,"score_gpt":0.2478661928807547,"score_spread":0.2356815842614213,"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."}}