{"id":"W2720444777","doi":"10.1155/2017/7915905","title":"Geographical Variation and Factors Associated with Non-Small Cell Lung Cancer in Manitoba","year":2017,"lang":"en","type":"article","venue":"Canadian Respiratory Journal","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; CancerCare Manitoba","funders":"University of Manitoba; Research Manitoba","keywords":"Medicine; Poisson regression; Cancer registry; Incidence (geometry); Socioeconomic status; Demography; Lung cancer; Population; Census; American Community Survey; Environmental health; Oncology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007552879,0.0002882929,0.0002355125,0.001424355,0.001441981,0.0008503837,0.001067372,0.0002813683,0.001478843],"category_scores_gemma":[0.002644968,0.0002868158,0.0004003562,0.00336021,0.0008116037,0.0002521408,0.0008966266,0.0004049361,0.0001462262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007087913,"about_ca_system_score_gemma":0.009047916,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9331938,"about_ca_topic_score_gemma":0.952186,"domain_scores_codex":[0.9994831,0.0001149246,0.00004248543,0.0000947505,0.0001264833,0.000138157],"domain_scores_gemma":[0.9987017,0.0001471493,0.0003304113,0.00008426753,0.0004040167,0.0003324693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001306325,0.00001180781,0.9978749,0.00001963244,0.00003253669,0.00004897882,0.0004367027,0.00006371749,0.0001118672,0.00005749558,0.0003033116,0.001026023],"study_design_scores_gemma":[0.000001741888,0.000007961507,0.9984279,0.00002349832,0.00001792094,0.00004525482,0.0009981596,0.0001137473,0.0000199692,0.00002403518,0.0003161934,0.000003668038],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995838,0.0009781813,0.0001228675,0.0005940822,0.00001598011,0.00003416266,0.001211095,0.00001122388,0.001194308],"genre_scores_gemma":[0.9986405,0.0004239021,0.0001210178,0.00006399776,0.000005862364,0.00001502471,0.0005006061,0.000003367439,0.0002256858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0668062,"threshold_uncertainty_score":0.1343992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05761931218955533,"score_gpt":0.294438841394367,"score_spread":0.2368195292048117,"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."}}