{"id":"W1965980207","doi":"10.1503/cmaj.060940","title":"Understanding the health of Indigenous peoples in Canada: key methodological and conceptual challenges","year":2006,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"National Institute on Minority Health and Health Disparities; Sanofi; AstraZeneca; Eli Lilly and Company; Amgen","keywords":"Privilege (computing); Indigenous; Key (lock); Medicine; Sociology; Computer science; Political science; Law; Ecology; Computer security","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03263391,0.001480212,0.002252163,0.008184329,0.04343965,0.01858757,0.009920646,0.004150613,0.002709241],"category_scores_gemma":[0.03843488,0.0008283104,0.0009734311,0.01885914,0.042875,0.008633494,0.01313043,0.009695832,0.0001544271],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2652318,"about_ca_system_score_gemma":0.4297663,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9972147,"about_ca_topic_score_gemma":0.9977348,"domain_scores_codex":[0.9785615,0.01083921,0.0008314115,0.001385081,0.002957646,0.005425184],"domain_scores_gemma":[0.9621819,0.02085813,0.001657095,0.001181513,0.009961483,0.004159865],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009396052,0.0001552484,0.03645496,0.002313357,0.0001789232,0.0008193793,0.7654194,0.001714491,0.000349014,0.122426,0.01237977,0.05769544],"study_design_scores_gemma":[0.00001705303,0.00003020864,0.02163917,0.001835126,0.00009475428,0.0000901559,0.9298071,0.0008344172,0.000166341,0.02418802,0.02120492,0.00009283432],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4576785,0.0835069,0.009640737,0.3764705,0.001317444,0.001605198,0.002226125,0.0001119146,0.06744269],"genre_scores_gemma":[0.9499558,0.0221028,0.009249595,0.01483923,0.0002544095,0.0007513054,0.0002890755,0.00004645671,0.002511357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9673661,"threshold_uncertainty_score":0.852227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09756955324559313,"score_gpt":0.3189895647753951,"score_spread":0.221420011529802,"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."}}