{"id":"W2995240037","doi":"10.3390/medsci7120110","title":"Bayesian Space–Time Analysis of Brain Cancer Incidence in Southern Ontario, Canada: 2010–2013","year":2019,"lang":"en","type":"article","venue":"Medical Sciences","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Cancer Care Ontario","keywords":"Medicine; Brain cancer; Demography; Relative risk; Cancer; Incidence (geometry); Credible interval; Confidence interval; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"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":[0.001475758,0.0002701034,0.0003990679,0.00136243,0.0009779349,0.0007637408,0.0008514593,0.0003104492,0.00193591],"category_scores_gemma":[0.004869767,0.0002415189,0.00087513,0.002753994,0.000606186,0.0002534225,0.0007017544,0.0004103366,0.0001919802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01883948,"about_ca_system_score_gemma":0.02503392,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959973,"about_ca_topic_score_gemma":0.9957206,"domain_scores_codex":[0.9993379,0.0001267313,0.00004743,0.0001562533,0.0001908726,0.0001408464],"domain_scores_gemma":[0.9980409,0.0003326107,0.0003478229,0.0001058886,0.00102899,0.0001439428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001470002,0.00001945072,0.96031,0.00008282653,0.0002836158,0.00009891883,0.0005380094,0.02019222,0.000380625,0.001480443,0.00357936,0.01288745],"study_design_scores_gemma":[0.00002012064,0.00002529769,0.9411729,0.00005107161,0.0001374347,0.00006569899,0.0009814032,0.05099193,0.0001947276,0.0004843109,0.005843356,0.00003180916],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975341,0.001123037,0.004543362,0.0008769897,0.00002193097,0.00007684928,0.01451057,0.00008307598,0.003423168],"genre_scores_gemma":[0.9898368,0.0003487539,0.001383052,0.00005441005,0.000007425183,0.00002570306,0.006261242,0.00001201582,0.002070685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01883948,"threshold_uncertainty_score":0.1366907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03240754260494411,"score_gpt":0.3122146487039815,"score_spread":0.2798071060990374,"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."}}