{"id":"W6888975367","doi":"10.25318/1310010901-eng","title":"Cancer incidence, by selected sites of cancer and sex, three-year average, Canada, provinces, territories and health regions (2015 boundaries)","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cancer; Incidence (geometry); Cancer incidence; Lung cancer; Table (database); Confidence interval; Cancer registry; Rectum","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":[0.000855809,0.001103756,0.001361803,0.005519672,0.001189968,0.002046156,0.001873058,0.0006600291,0.03655461],"category_scores_gemma":[0.008269846,0.0006664244,0.001351032,0.02222714,0.000352939,0.0008542544,0.001005795,0.001521859,0.01667534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0134469,"about_ca_system_score_gemma":0.03276166,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.954622,"about_ca_topic_score_gemma":0.9557429,"domain_scores_codex":[0.9984369,0.00007868002,0.0002732922,0.0002976304,0.0005770625,0.0003365462],"domain_scores_gemma":[0.9935587,0.0003765525,0.0005483768,0.0003670735,0.004691285,0.0004580706],"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":[0.00006809393,0.00001423485,0.008235652,0.000611869,0.00006111742,0.00001330991,0.00003310722,0.0002584159,0.00002745116,0.0003423887,0.9872111,0.003123273],"study_design_scores_gemma":[0.0003101744,0.00002953191,0.1918543,0.001154341,0.0001490278,0.0001068525,0.0004337119,0.0006260326,0.0003086968,0.0003992176,0.8045663,0.00006179834],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002117418,0.00006346047,0.00001594898,0.00003737375,0.00001157773,0.00001139096,0.9989459,0.00003001534,0.0006726679],"genre_scores_gemma":[0.002222066,0.0002669597,0.0001538936,0.00007372958,0.00001082884,0.00008555727,0.9949297,0.0000289525,0.002228348],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04537803,"threshold_uncertainty_score":0.1222873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008903273689931553,"score_gpt":0.2934124966057747,"score_spread":0.2845092229158431,"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."}}