{"id":"W4311784917","doi":"10.3390/curroncol29120757","title":"Characterizing Regional Variability in Lung Cancer Outcomes across Ontario—A Population-Based Analysis","year":2022,"lang":"en","type":"article","venue":"Current Oncology","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Ontario Ministry of Health and Long-Term Care; William Caspar Graustein Memorial Fund","keywords":"Medicine; Cancer registry; Cancer; Lung cancer; Retrospective cohort study; Population; Disease; Cohort; Relative survival; Incidence (geometry); Internal medicine; Survival analysis; Confounding; Demography; 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":[0.001423743,0.0002967194,0.0004579192,0.001605014,0.00155031,0.001021791,0.001143373,0.0003692197,0.001218161],"category_scores_gemma":[0.003483974,0.0003438968,0.0009781469,0.004724493,0.0007241154,0.0003690826,0.001123887,0.0003717354,0.0001811868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01412036,"about_ca_system_score_gemma":0.01144403,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9524062,"about_ca_topic_score_gemma":0.965615,"domain_scores_codex":[0.9985607,0.0001640155,0.0001192222,0.0003642047,0.0004052564,0.0003865674],"domain_scores_gemma":[0.9968996,0.0002760774,0.001154293,0.0003009664,0.0009729731,0.0003961246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003308918,0.000005226758,0.9981888,0.00001722075,0.00008444414,0.00003298489,0.0002729038,0.00008207595,0.00008187386,0.00002417884,0.000441147,0.0007361139],"study_design_scores_gemma":[0.000003619066,0.000007636083,0.9991435,0.000007834647,0.00002916713,0.00002235449,0.0002641866,0.0001450988,0.00001279988,0.000009738843,0.0003505945,0.000003378572],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899962,0.000403989,0.0002279903,0.000191902,0.000006894508,0.00004496938,0.008081106,0.00001350554,0.001033482],"genre_scores_gemma":[0.9964703,0.000134364,0.0001432741,0.00003799723,0.000005492191,0.0000256787,0.002979986,0.000005382897,0.0001975766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04759383,"threshold_uncertainty_score":0.1024508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1821296942666226,"score_gpt":0.478947688726542,"score_spread":0.2968179944599194,"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."}}