{"id":"W3039393988","doi":"10.1016/j.puhe.2020.04.023","title":"Socio-economic inequalities in lung cancer incidence in Canada, 1992–2010: results from the Canadian Cancer Registry","year":2020,"lang":"en","type":"article","venue":"Public Health","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nova Scotia Health Authority; Dalhousie University","funders":"Dalhousie University","keywords":"Lung cancer; Incidence (geometry); Cancer registry; Medicine; Inequality; Cancer incidence; Environmental health; Cancer; Demography; Oncology; Sociology; Internal medicine; Population; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001004115,0.0001873453,0.0004610233,0.00008113254,0.0001820663,0.00006664696,0.0003735226,0.00009915089,0.0002645114],"category_scores_gemma":[0.0006280339,0.0001603894,0.00003896074,0.0003976118,0.00007126523,0.0002157773,0.00005974592,0.0007004809,0.000006315722],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01686876,"about_ca_system_score_gemma":0.09664462,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999948,"about_ca_topic_score_gemma":0.9999974,"domain_scores_codex":[0.9972706,0.0001885112,0.0007410484,0.0004728108,0.0003933588,0.0009337081],"domain_scores_gemma":[0.9981126,0.0002095253,0.0002527617,0.0003565723,0.00006007435,0.001008418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007268265,0.000003846235,0.8698143,0.00006502044,0.00001932761,0.00006228079,0.00697207,0.0003124425,0.000001432226,0.0001723573,0.1173681,0.005136139],"study_design_scores_gemma":[0.001286623,0.00003143128,0.9301442,0.0004442474,0.000007473807,0.000003888927,0.007042097,0.004615952,0.000003520012,0.00003762615,0.05617383,0.0002091336],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5130215,0.004226592,0.000003534457,0.4804319,0.0002594292,0.0003312747,0.00104045,0.00001457986,0.0006708425],"genre_scores_gemma":[0.912236,0.0009760166,0.00004572218,0.08591815,0.0005294431,0.00009920209,0.0001095802,0.00001750202,0.00006832577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3992146,"threshold_uncertainty_score":0.9869053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.171842707407572,"score_gpt":0.365267639123975,"score_spread":0.193424931716403,"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."}}