{"id":"W3006895170","doi":"10.32799/ijih.v14i2.31995","title":"“In a good way”: Going beyond patient navigation to ensure culturally relevant care in the cancer system for First Nations, Inuit, and Métis patients in Ontario","year":2020,"lang":"en","type":"article","venue":"International Journal of Indigenous Health","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario","funders":"","keywords":"Scope (computer science); Indigenous; Context (archaeology); Cancer; Political science; Gerontology; Medicine; Geography; Ecology; Computer science; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000395672,0.0001018047,0.0002489571,0.0002142577,0.0001037239,0.00003881141,0.0001772225,0.00004673319,0.000003587379],"category_scores_gemma":[0.0001275504,0.00007533065,0.00004837686,0.0002100331,0.000008820592,0.0001727656,0.0000253223,0.0003165203,8.618069e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004192689,"about_ca_system_score_gemma":0.001255878,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0729297,"about_ca_topic_score_gemma":0.774685,"domain_scores_codex":[0.9982565,0.00005701508,0.0007091258,0.0001541873,0.0006029596,0.0002202013],"domain_scores_gemma":[0.9988598,0.00009118196,0.0003532778,0.00005113414,0.000523381,0.0001212697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008080389,0.00008328561,0.5926101,0.0002478074,0.00003273273,0.0001591599,0.3922435,0.001034863,0.00001635399,0.0001654981,0.0001376287,0.01246112],"study_design_scores_gemma":[0.004678975,0.003602176,0.9428959,0.00611842,0.00002232672,0.0002782817,0.03733876,0.000129697,0.00008489222,0.00004591909,0.004630334,0.0001742785],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891446,0.0009508916,0.00004039636,0.00850605,0.0002946861,0.0009117927,0.00006829712,0.00000318316,0.00008008139],"genre_scores_gemma":[0.9958766,0.0001628197,0.0006692696,0.003095386,0.0001202408,0.00003569832,0.00002876161,0.000007836047,0.000003452248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7017553,"threshold_uncertainty_score":0.99963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02511543570583783,"score_gpt":0.3213251682831323,"score_spread":0.2962097325772945,"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."}}