{"id":"W2803728067","doi":"10.1503/cmaj.171538","title":"Improving health research among Indigenous Peoples in Canada","year":2018,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":182,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact; McMaster Children's Hospital","funders":"Canadian Institutes of Health Research","keywords":"Indigenous; Key (lock); Data science; Traditional knowledge; Computer science; Ecology; Biology; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01489073,0.00008184178,0.0001863166,0.0004047084,0.01332157,0.0001470472,0.0004201009,0.000275399,0.001673573],"category_scores_gemma":[0.0008073953,0.00007737862,0.00002906773,0.0007954307,0.0001949699,0.0001937887,0.000001504533,0.001291694,0.00006488932],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.02940103,"about_ca_system_score_gemma":0.7000033,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.999967,"about_ca_topic_score_gemma":1,"domain_scores_codex":[0.99332,0.001640373,0.0005079302,0.0001760215,0.00262938,0.001726321],"domain_scores_gemma":[0.9951002,0.0005194783,0.0002578127,0.00009367168,0.001017519,0.003011334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000265326,0.0000291283,0.3750176,0.00001565106,0.00001524779,0.0000966997,0.586587,5.769845e-7,5.314111e-8,0.004110544,0.02101026,0.01311457],"study_design_scores_gemma":[0.0001902219,0.00004525479,0.1205825,0.00006562809,0.00000128027,0.00001220002,0.05791732,0.0000161315,0.000001165326,0.0001650902,0.8208949,0.0001083718],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9476351,0.0002279173,0.000007629653,0.0171516,0.002409648,0.0003188807,0.00001010744,0.000009354014,0.03222983],"genre_scores_gemma":[0.9878892,0.002103185,0.00004436796,0.001726672,0.006051239,0.000002151655,0.000004680606,0.00001280795,0.002165711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7998846,"threshold_uncertainty_score":0.999239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01983889776189548,"score_gpt":0.322319645518382,"score_spread":0.3024807477564865,"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."}}