{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03225302,0.0003207386,0.0007709126,0.004418515,0.01785648,0.006587721,0.004374587,0.001996672,0.005847324],"category_scores_gemma":[0.04401112,0.0004536577,0.0004219185,0.007379872,0.007453771,0.002593498,0.007194526,0.004237809,0.0003485808],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1494473,"about_ca_system_score_gemma":0.5983897,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9926242,"about_ca_topic_score_gemma":0.996794,"domain_scores_codex":[0.9769776,0.006294284,0.001262214,0.001298167,0.007328428,0.006839245],"domain_scores_gemma":[0.9051937,0.01507997,0.00578298,0.001700797,0.03386066,0.03838186],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006596209,0.0006822029,0.3207281,0.009120213,0.000450925,0.002519273,0.1675788,0.0009421828,0.003969512,0.05132752,0.1587445,0.2832772],"study_design_scores_gemma":[0.0002200668,0.0004008922,0.5678744,0.01013754,0.000316286,0.0006698643,0.1756201,0.0007867097,0.0009174608,0.01067086,0.2321685,0.0002172853],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.2965038,0.05153889,0.001716722,0.5791031,0.001729021,0.001196761,0.003086741,0.000140574,0.06498449],"genre_scores_gemma":[0.8834562,0.03720615,0.009545167,0.05534137,0.0007586422,0.0006446564,0.00102114,0.00005329347,0.01197342],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.967747,"threshold_uncertainty_score":0.9865206,"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."}}