{"id":"W4400226903","doi":"10.1503/cmaj.240095-f","title":"Projection du fardeau du cancer au Canada en 2024","year":2024,"lang":"fr","type":"article","venue":"Canadian Medical Association Journal","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Cancer Society","funders":"","keywords":"Cancer incidence; Cancer; Medicine; Gynecology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001341206,0.0004964524,0.0004649329,0.002827427,0.001301715,0.00183298,0.000890337,0.0004240689,0.006208228],"category_scores_gemma":[0.005361279,0.0002734321,0.001177991,0.005978094,0.0005162755,0.0006549372,0.001362229,0.0009677832,0.0007793672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04839032,"about_ca_system_score_gemma":0.09152079,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953924,"about_ca_topic_score_gemma":0.9953556,"domain_scores_codex":[0.9984363,0.0001621857,0.00006484035,0.0001530773,0.000804888,0.0003787903],"domain_scores_gemma":[0.993222,0.0003069661,0.0003242131,0.0001154546,0.00562313,0.0004082478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000470974,0.00004478382,0.7205518,0.001085511,0.0006881141,0.0002720623,0.00169197,0.02110541,0.0007333744,0.01510914,0.1657993,0.07244744],"study_design_scores_gemma":[0.00006671327,0.00008084009,0.776504,0.0007845183,0.0003214044,0.0001566249,0.003834343,0.01180745,0.001077742,0.002462343,0.2027714,0.000132713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2898004,0.01013389,0.01195003,0.03551298,0.0008464635,0.0004162386,0.5573152,0.001109065,0.09291565],"genre_scores_gemma":[0.8065127,0.009394247,0.01272494,0.002796192,0.0001255428,0.0003837417,0.1294297,0.0001527558,0.03848021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04839032,"threshold_uncertainty_score":0.3510979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01549003300289598,"score_gpt":0.2886183462589601,"score_spread":0.2731283132560641,"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."}}