{"id":"W3011432302","doi":"10.1002/cam4.2978","title":"Socioeconomic disparity trends in diagnostic imaging, treatments, and survival for non‐small cell lung cancer 2007‐2016","year":2020,"lang":"en","type":"article","venue":"Cancer Medicine","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control; Health Sciences Centre; Cancer Care Ontario; Sunnybrook Health Science Centre; University of Toronto","funders":"Canadian Cancer Society Research Institute; Ontario Ministry of Health and Long-Term Care","keywords":"Medicine; Confidence interval; Odds ratio; Hazard ratio; Internal medicine; Lung cancer; Socioeconomic status; Vinorelbine; Cancer registry; Population; Chemotherapy; Cancer","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001366717,0.0003557868,0.0008275355,0.0001185818,0.00007335345,0.00001325739,0.00009409068,0.00008150304,0.001388743],"category_scores_gemma":[0.0000734219,0.0002676765,0.0001069721,0.0001484384,0.0001529593,0.000074651,0.00004179324,0.0001720079,0.000007243234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009609038,"about_ca_system_score_gemma":0.0002757295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004696097,"about_ca_topic_score_gemma":0.001169754,"domain_scores_codex":[0.9982249,0.00002698529,0.0004455837,0.0006730605,0.0001516346,0.0004778447],"domain_scores_gemma":[0.9986871,0.000403979,0.0001571371,0.0002304059,0.00006350494,0.0004578709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002334326,0.0002323364,0.8780817,0.0005588237,0.0002479843,0.00005826203,0.001286353,0.00002110303,0.0001373945,0.00001476991,0.08971655,0.02941123],"study_design_scores_gemma":[0.03308121,0.0009563229,0.9211682,0.001545261,0.002777788,0.000005813938,0.0004000766,0.00384027,0.001006584,0.00003434789,0.03468723,0.0004969152],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8003524,0.1004584,0.00021671,0.09227403,0.001598192,0.001976626,0.00040651,0.00008795636,0.002629172],"genre_scores_gemma":[0.964213,0.02527172,0.00009573169,0.005259273,0.001840028,0.001868669,0.0001561064,0.00006823644,0.001227262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1638606,"threshold_uncertainty_score":0.9999775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01845040630413514,"score_gpt":0.317285006791895,"score_spread":0.2988346004877598,"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."}}