{"id":"W35493013","doi":"","title":"Canadian trends in cancer prevalence.","year":2012,"lang":"en","type":"article","venue":"PubMed","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Medicine; Demography; Cancer; Thyroid cancer; Cervix; Cancer registry; Incidence (geometry); Population; Mortality rate; Environmental health; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0014619,0.0006701224,0.0005376842,0.01268513,0.001695885,0.001667227,0.001273308,0.0004411957,0.01964661],"category_scores_gemma":[0.006467051,0.0003867858,0.00100495,0.022782,0.0003617255,0.0008400432,0.0006847415,0.0008933555,0.002913528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03828027,"about_ca_system_score_gemma":0.08524767,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9926271,"about_ca_topic_score_gemma":0.9933515,"domain_scores_codex":[0.9976063,0.00009247437,0.0002019743,0.0002054751,0.001547051,0.0003466822],"domain_scores_gemma":[0.9904051,0.000255192,0.0006139216,0.0001055139,0.008054009,0.0005663928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002011791,0.00005558895,0.2014839,0.006131425,0.0003313618,0.0001848854,0.0009399294,0.0004666504,0.0002831358,0.004450655,0.6272511,0.1582201],"study_design_scores_gemma":[0.00005519234,0.00005193026,0.6655316,0.001266469,0.0002853714,0.0004011455,0.0007373404,0.0005627171,0.0002830218,0.0004820722,0.3302806,0.00006246821],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02825135,0.0478463,0.00103206,0.01055079,0.001218212,0.0003924069,0.7953485,0.0009110903,0.1144494],"genre_scores_gemma":[0.4047659,0.07863604,0.01069415,0.003927799,0.0006696731,0.0007637294,0.4563076,0.0003495041,0.04388557],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03828027,"threshold_uncertainty_score":0.2777442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1156153563821993,"score_gpt":0.336402851503699,"score_spread":0.2207874951214997,"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."}}