{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002323406,0.0001530368,0.00028299,0.000314295,0.007133583,0.003166608,0.001387361,0.000759903,0.002707114],"category_scores_gemma":[0.005622377,0.0001899428,0.0003488035,0.0008863423,0.003634705,0.001598497,0.004858505,0.001639976,0.0002029738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02678147,"about_ca_system_score_gemma":0.1459592,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8094268,"about_ca_topic_score_gemma":0.9510722,"domain_scores_codex":[0.9977843,0.000901431,0.0001051478,0.0000965728,0.0003689927,0.0007436342],"domain_scores_gemma":[0.9959709,0.0003760497,0.0003510728,0.0001204925,0.0007334627,0.002447966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002381447,0.0003042656,0.1769493,0.004346702,0.0001620733,0.002978988,0.3588552,0.0007412799,0.002468764,0.01878398,0.1062287,0.3279427],"study_design_scores_gemma":[0.00008495682,0.0005590987,0.2117884,0.005294326,0.0001753217,0.001517515,0.3437464,0.0006727913,0.0007325409,0.006850747,0.428415,0.0001628863],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6029633,0.02158597,0.002906916,0.3011499,0.001013417,0.0004031373,0.0004239057,0.0001398695,0.06941365],"genre_scores_gemma":[0.9685562,0.01054228,0.00394258,0.01068153,0.0001375485,0.0001401133,0.000164273,0.00004956387,0.005785997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1905732,"threshold_uncertainty_score":0.383391,"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."}}