{"id":"W2955979382","doi":"10.3747/co.26.4273","title":"Brain Cancer Survival in Canada 1996–2008: Effects of Sociodemographic Characteristics","year":2019,"lang":"en","type":"article","venue":"Current Oncology","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; Brain Tumour Foundation of Canada","keywords":"Medicine; Residence; Socioeconomic status; Hazard ratio; Cancer registry; Cancer; Confidence interval; Demography; Proportional hazards model; Brain cancer; Gerontology; Internal medicine; Population; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0009432363,0.0004364332,0.0004947678,0.001466203,0.001427902,0.0008303061,0.00119806,0.0003844428,0.002311826],"category_scores_gemma":[0.002673526,0.0002860992,0.0009289003,0.004488832,0.0005281161,0.0003211094,0.0008172647,0.0007703431,0.0002507568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03786569,"about_ca_system_score_gemma":0.04074371,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953489,"about_ca_topic_score_gemma":0.9966028,"domain_scores_codex":[0.9991135,0.00005972787,0.00006451862,0.000156554,0.0002867799,0.0003188472],"domain_scores_gemma":[0.9975166,0.000121973,0.000541821,0.00008107261,0.001271501,0.0004669836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000270023,0.00002192533,0.9846987,0.0001217646,0.0002352897,0.00006615292,0.0003237175,0.0007001328,0.0000737586,0.0001804309,0.005749149,0.007558861],"study_design_scores_gemma":[0.00001393416,0.00002291496,0.9961611,0.00005570568,0.00007319811,0.00005275476,0.0003382944,0.0005788796,0.00004122466,0.00004128923,0.002609581,0.00001103723],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9147832,0.005262996,0.0004382031,0.002211308,0.00007852932,0.00007740877,0.0726414,0.00007286535,0.004433998],"genre_scores_gemma":[0.9815076,0.00172731,0.0002776606,0.0001738555,0.0000202476,0.0000361261,0.01487796,0.00001393976,0.001365274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03786569,"threshold_uncertainty_score":0.2747361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09990100073804843,"score_gpt":0.4017862938226373,"score_spread":0.3018852930845888,"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."}}