{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005419633,0.0001561169,0.0002074673,0.0008267278,0.0005775853,0.0005280119,0.0003913547,0.000164165,0.001307598],"category_scores_gemma":[0.002213417,0.0001517386,0.0005145474,0.002138399,0.0002650647,0.0002916435,0.0006935308,0.0003108674,0.0001349696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007616476,"about_ca_system_score_gemma":0.00682593,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8460394,"about_ca_topic_score_gemma":0.8965983,"domain_scores_codex":[0.9994134,0.00005186361,0.00006743909,0.00008414923,0.000213924,0.0001692399],"domain_scores_gemma":[0.9987206,0.00006276185,0.0005358651,0.00005463499,0.0004270981,0.0001990632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003857062,0.000007328978,0.9954667,0.00002306404,0.00004891932,0.00002501103,0.0001447165,0.00007767043,0.00005738343,0.00010212,0.001010306,0.002998135],"study_design_scores_gemma":[0.000002504044,0.000004988747,0.9987179,0.00001277719,0.00001354238,0.0000183681,0.0001327943,0.0001176405,0.0000180462,0.0000131977,0.0009462133,0.000002057807],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800369,0.001510192,0.0001466926,0.0008424416,0.00001854932,0.00002554814,0.01444189,0.000009052631,0.002968756],"genre_scores_gemma":[0.991184,0.0006643714,0.00009261309,0.00005740653,0.00001063488,0.00001889335,0.007352907,0.000002823299,0.000616453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8460394,"threshold_uncertainty_score":0.3097346,"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."}}