{"id":"W3047174287","doi":"10.1002/cncr.33107","title":"Material deprivation and access to cancer care in a universal health care system","year":2020,"lang":"en","type":"article","venue":"Cancer","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre; Health Sciences Centre; McGill University","funders":"Canadian Institutes of Health Research; Institute of Cancer Research; Ontario Ministry of Health and Long-Term Care; Cancer Care Ontario","keywords":"Medicine; Hazard ratio; Cancer; Socioeconomic status; Confidence interval; Population; Cohort; Retrospective cohort study; Radiation oncologist; Internal medicine; Cancer registry; Radiation therapy; Proportional hazards model; Receipt; Health care; Family medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002688524,0.00009118687,0.0002190166,0.00004570106,0.00004496672,0.0000330603,0.00007889666,0.00004383985,0.00006033603],"category_scores_gemma":[0.0000106705,0.00008731501,0.00001786154,0.0002389524,0.00001335786,0.0001234314,0.00006498008,0.00007882997,0.000002622859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001131242,"about_ca_system_score_gemma":0.0004877865,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009859993,"about_ca_topic_score_gemma":0.005071884,"domain_scores_codex":[0.9992476,0.00001981311,0.0001416452,0.0002473209,0.0001552402,0.0001884309],"domain_scores_gemma":[0.9995568,0.000003988094,0.00004494197,0.00008407386,0.00009763287,0.0002125906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003138945,0.00000756446,0.8064809,0.004365976,0.00005278274,0.0001625089,0.05713286,0.001427902,0.002204975,0.0002424666,0.01153801,0.1132451],"study_design_scores_gemma":[0.006738624,0.001301724,0.7831759,0.00642199,0.000151858,0.000022521,0.1014101,0.000632913,0.009754528,0.000003009733,0.08964415,0.0007426685],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852397,0.005932476,0.00006466166,0.007374712,0.0002799252,0.0004976757,0.0001100792,0.00004917162,0.0004516183],"genre_scores_gemma":[0.9928613,0.0001843456,0.0001037528,0.006328696,0.0004149852,0.00006679773,0.00002066823,0.00001190858,0.000007547417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1125024,"threshold_uncertainty_score":0.9967334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08253791894725115,"score_gpt":0.3867364464314231,"score_spread":0.3041985274841719,"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."}}