{"id":"W2509553645","doi":"10.3390/ijerph13090899","title":"Developing Responsive Indicators of Indigenous Community Health","year":2016,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"U.S. National Library of Medicine; U.S. Environmental Protection Agency; National Science Foundation","keywords":"Indigenous; Environmental health; Occupational safety and health; Geography; Environmental planning; Medicine; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01210974,0.00009697257,0.0003507813,0.0007714825,0.002428104,0.000009720863,0.0005066701,0.00009267286,0.0002818581],"category_scores_gemma":[0.0009869341,0.00006550002,0.00004635745,0.0001557701,0.0004104719,0.0001831803,0.0005654588,0.001037537,0.00002668573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003352215,"about_ca_system_score_gemma":0.004792828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00234174,"about_ca_topic_score_gemma":0.003301435,"domain_scores_codex":[0.9941266,0.00280816,0.001013758,0.0001181797,0.0008770261,0.001056316],"domain_scores_gemma":[0.9962057,0.001970721,0.0008953855,0.0001489351,0.0003184757,0.0004608154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005962612,0.00111634,0.5692785,0.0001708445,0.0004295367,0.00002635888,0.1164682,1.857561e-7,0.0003555882,0.005922853,0.002869832,0.3027654],"study_design_scores_gemma":[0.001921355,0.003399868,0.7603385,0.0003782583,0.000001442279,0.00006307827,0.1021407,1.975686e-7,0.00003273966,0.002753443,0.1288623,0.0001080822],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9518958,0.001016103,0.0004449269,0.0453436,0.0003967699,0.0003887959,0.0001312487,0.000004109456,0.0003786742],"genre_scores_gemma":[0.9861191,0.01114244,0.0004319495,0.001903769,0.0001929973,0.00001185514,0.000007311618,0.0000128308,0.0001777566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3026573,"threshold_uncertainty_score":0.9988706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1519361848702558,"score_gpt":0.4889657432679271,"score_spread":0.3370295583976713,"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."}}