{"id":"W2080251030","doi":"10.1159/000161186","title":"Cancer Incidence Studies in Canada","year":2008,"lang":"en","type":"article","venue":"Pathologia et Microbiologia","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Incidence (geometry); Cancer incidence; Medicine; Cancer; Internal medicine; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002997519,0.0001935231,0.0004622525,0.00006917545,0.00007464024,0.000003200941,0.0001622317,0.00009193827,0.00007484951],"category_scores_gemma":[0.0004279772,0.0001465388,0.00005198294,0.0003015904,0.0002351237,0.00007451402,0.000126924,0.0003539375,0.00002226315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00112812,"about_ca_system_score_gemma":0.001930061,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.636463,"about_ca_topic_score_gemma":0.8115641,"domain_scores_codex":[0.9986517,0.00009599163,0.0003262997,0.0003787354,0.0001256235,0.0004215804],"domain_scores_gemma":[0.9993309,0.0001161057,0.00009660853,0.0002403923,0.0001468253,0.00006915606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008269935,0.00001671122,0.941873,0.00003023289,0.00002434588,0.002979817,0.000460241,0.0001255126,0.04324543,0.00001632254,0.01060221,0.0005434885],"study_design_scores_gemma":[0.0007009903,0.0001515337,0.9811134,0.0003233869,0.00002234535,0.00206217,0.001612141,0.00001372817,0.01301402,0.00002910651,0.0006956226,0.000261554],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901401,0.008052715,0.00001378306,0.0006614198,0.000329486,0.0002214776,0.00002317458,0.00004551551,0.0005123723],"genre_scores_gemma":[0.989607,0.003209891,0.001058594,0.005808713,0.00004318043,0.000054951,0.00001424491,0.000009508728,0.0001938795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1751011,"threshold_uncertainty_score":0.5975679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1978308080826537,"score_gpt":0.392657498773219,"score_spread":0.1948266906905654,"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."}}