{"id":"W3093419179","doi":"10.1371/journal.pone.0240444","title":"Cancer resection rates, socioeconomic deprivation, and geographical access to surgery among urban, suburban, and rural populations across Canada","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto; Simon Fraser University","funders":"Health Canada; Partenariat Canadien Contre Le Cancer; Bundesministerium für Bildung und Forschung","keywords":"Socioeconomic status; Demography; Medicine; Rural area; Cancer; Geography; Population; Environmental health; Pathology; Internal medicine","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":[0.0003548813,0.0002848939,0.0003112686,0.001394706,0.002212859,0.001047277,0.0007022734,0.0002182446,0.002122501],"category_scores_gemma":[0.001544746,0.0002286651,0.0005985324,0.003946946,0.0006749931,0.0003265279,0.0008757293,0.0005420199,0.0001423763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02060764,"about_ca_system_score_gemma":0.02419877,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963715,"about_ca_topic_score_gemma":0.9974942,"domain_scores_codex":[0.9993123,0.00003956178,0.00005656628,0.000115478,0.0002105237,0.0002655507],"domain_scores_gemma":[0.9985386,0.00005812254,0.0002997863,0.00003481649,0.0005968175,0.0004718518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005031102,0.00001666606,0.9924339,0.00004529848,0.00008657778,0.0000701646,0.0005501529,0.0001690721,0.0001054052,0.0001446229,0.001748786,0.004579045],"study_design_scores_gemma":[0.000006068286,0.00001090498,0.9974073,0.00003983448,0.00002977711,0.00005893395,0.001118389,0.0002347615,0.00003593861,0.00003290329,0.001015641,0.000009554351],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865453,0.002047002,0.0001534857,0.0007874114,0.00002033605,0.00003966178,0.006802651,0.00001852419,0.003585639],"genre_scores_gemma":[0.9964784,0.0009786848,0.00009202759,0.0001214731,0.000006056556,0.00001198052,0.001687335,0.000004574327,0.0006195257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02060764,"threshold_uncertainty_score":0.1495196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1543221101468284,"score_gpt":0.3375381873487444,"score_spread":0.1832160772019159,"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."}}