{"id":"W3092973161","doi":"","title":"Disparities in Access to Radiotherapy for Indigenous Populations in Canada and Beyond: a quantitative approach","year":2020,"lang":"en","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"Advances in Oncology and Radiotherapy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Indigenous; Geography; Political science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004369827,0.0003152057,0.0005510757,0.004154675,0.007035994,0.003136923,0.001821888,0.0006070637,0.002387097],"category_scores_gemma":[0.01043402,0.0003085766,0.0007959851,0.01051385,0.002268841,0.001345153,0.003793895,0.00140795,0.0001053928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04753488,"about_ca_system_score_gemma":0.09395496,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9914398,"about_ca_topic_score_gemma":0.994888,"domain_scores_codex":[0.9959745,0.0008223185,0.000270302,0.0003509703,0.001073799,0.001508041],"domain_scores_gemma":[0.9945445,0.001264911,0.0009437719,0.0001986826,0.002120577,0.0009276248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001235306,0.0002751759,0.9017963,0.000300804,0.0001427262,0.0000897223,0.0706493,0.0003024757,0.0002236618,0.004483098,0.001770024,0.01984332],"study_design_scores_gemma":[0.000009607398,0.00007984423,0.8488141,0.00031688,0.0001098235,0.00006079775,0.1450927,0.0006929222,0.0001825094,0.000699639,0.003895212,0.00004602702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906074,0.000608708,0.0004786731,0.0009152284,0.00001323355,0.0002473595,0.002565732,0.000007294119,0.00455651],"genre_scores_gemma":[0.9968461,0.0003854612,0.0008884851,0.000226194,0.000006767139,0.0001728058,0.0005949428,0.000007107019,0.0008721144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04753488,"threshold_uncertainty_score":0.3448913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06566539853700691,"score_gpt":0.3763633487517953,"score_spread":0.3106979502147884,"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."}}