{"id":"W7094336241","doi":"","title":"Cancer incidence in Canada: trends and projections (1983â2032)","year":2015,"lang":"en","type":"article","venue":"PubMed Central","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cancer incidence; Incidence (geometry); Cancer; MEDLINE; Population","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":[0.0001857119,0.0000910239,0.0001654793,0.00008191717,0.00002806489,0.00001382457,0.00005364245,0.00003356305,0.00003483168],"category_scores_gemma":[0.0001245318,0.00008127754,0.00001747382,0.0003755708,0.00003336922,0.0001272474,0.00002675214,0.0001593059,7.390227e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00249414,"about_ca_system_score_gemma":0.003277983,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9470744,"about_ca_topic_score_gemma":0.9867612,"domain_scores_codex":[0.9985622,0.00001840916,0.0001546514,0.000191381,0.0002954706,0.0007778745],"domain_scores_gemma":[0.9992077,0.00001113302,0.00003364701,0.0001031107,0.00004307981,0.0006013299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007618662,0.00001026692,0.9453038,0.000008011364,0.00001018892,0.00008538845,0.0002871501,0.00007093041,0.000006812207,0.00004241952,0.007239967,0.04685885],"study_design_scores_gemma":[0.0007408246,0.00002463717,0.9888422,0.00004011603,0.00002343664,0.0000785269,0.0005345764,0.0003345567,0.00008885441,0.00001981147,0.009184553,0.00008793686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990196,0.001432843,0.00001017372,0.003273355,0.0004937324,0.0001768619,0.00001251535,0.00001919358,0.004385285],"genre_scores_gemma":[0.9980626,0.00008945185,0.00009930004,0.0007356177,0.0002350526,0.0001325393,0.000004869018,0.000006840766,0.0006337849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04677092,"threshold_uncertainty_score":0.6522089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0861349884826448,"score_gpt":0.3094835677238899,"score_spread":0.2233485792412451,"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."}}