{"id":"W2992128810","doi":"","title":"Progress in net cancer survival in Canada over 20 years.","year":2018,"lang":"en","type":"article","venue":"PubMed","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Medicine; Cancer; Mesothelioma; Cancer registry; Demography; Thyroid cancer; Population; Internal medicine; Oncology; Pathology; Environmental health","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":[0.0008451254,0.0003565667,0.0002931179,0.002289263,0.00130226,0.001305037,0.0007534774,0.0003023746,0.002436362],"category_scores_gemma":[0.00304242,0.0001473864,0.0006256126,0.004844099,0.0003483362,0.0005129962,0.0008864149,0.0005746624,0.0003511151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04932363,"about_ca_system_score_gemma":0.06893793,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941967,"about_ca_topic_score_gemma":0.9960253,"domain_scores_codex":[0.9991248,0.00003329817,0.00004816173,0.0000925888,0.0004759121,0.0002252627],"domain_scores_gemma":[0.9972275,0.00005823669,0.0004104129,0.00003471077,0.001765224,0.0005039596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002423425,0.00003786488,0.9025313,0.0003936722,0.0002473529,0.0001433108,0.0007233071,0.002368115,0.0001931828,0.001368977,0.0259333,0.0658172],"study_design_scores_gemma":[0.000009754657,0.000038626,0.983104,0.0001224743,0.00009622169,0.0001268981,0.0005481148,0.001593668,0.0001616195,0.0001721949,0.01400418,0.00002225317],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7671103,0.02171366,0.001549492,0.007962904,0.0002619334,0.0001456366,0.1622292,0.0005115806,0.03851536],"genre_scores_gemma":[0.9692407,0.005129901,0.001023548,0.0003672479,0.00002695008,0.00003294111,0.01936767,0.00002557092,0.004785581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04932363,"threshold_uncertainty_score":0.3578696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07352171322806847,"score_gpt":0.3153679672720699,"score_spread":0.2418462540440014,"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."}}