{"id":"W3025043271","doi":"","title":"The Impact of Multiple Primary Rules on Cancer Statistics in Canada, 1992 to 2012.","year":2018,"lang":"en","type":"article","venue":"PubMed","topic":"Multiple and Secondary Primary Cancers","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cancer; International agency; Breast cancer; Medicine; Demography; Stage (stratigraphy); Lung cancer; Incidence (geometry); Cancer registry; Confidence interval; Standardized rate; Oncology; Internal medicine; Mathematics; Biology","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":[0.01543825,0.0007373337,0.001103124,0.004346878,0.002104562,0.00329483,0.002762614,0.0006490973,0.001994178],"category_scores_gemma":[0.07261094,0.0007117148,0.001887126,0.01134826,0.001212528,0.0008376182,0.001862433,0.00146379,0.0004888945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07370026,"about_ca_system_score_gemma":0.1385691,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99441,"about_ca_topic_score_gemma":0.9909225,"domain_scores_codex":[0.9715723,0.00283288,0.002120599,0.002782493,0.01805738,0.002634383],"domain_scores_gemma":[0.8878307,0.01987268,0.0165781,0.005401042,0.06507005,0.00524742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003844657,0.00003063943,0.8459224,0.0009160311,0.0007781761,0.0001768115,0.0005838483,0.01087953,0.0001602488,0.002921024,0.08253364,0.05471316],"study_design_scores_gemma":[0.00007189706,0.00008868429,0.9238901,0.0003837083,0.000393226,0.0001526385,0.0004906167,0.009944088,0.0008575386,0.0006519689,0.0629761,0.00009935608],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.4147001,0.02942048,0.01125643,0.02983481,0.001719213,0.001287658,0.4560697,0.002249714,0.05346195],"genre_scores_gemma":[0.9086683,0.005570208,0.008509265,0.002376435,0.0002449301,0.0003236801,0.06933341,0.0001791957,0.004794507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07370026,"threshold_uncertainty_score":0.5347353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02168525808767383,"score_gpt":0.2711131191955253,"score_spread":0.2494278611078515,"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."}}