{"id":"W2917985230","doi":"10.3233/sji-180479","title":"Improving health data for indigenous populations: The international group for indigenous health measurement","year":2019,"lang":"en","type":"article","venue":"Statistical Journal of the IAOS","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Centers for Disease Control and Prevention","keywords":"Indigenous; Group (periodic table); Geography; Environmental health; Medicine; Biology; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.002388605,0.0001223103,0.0002709246,0.00007626232,0.0005364123,0.0001647571,0.001153397,0.00003441392,0.0000180453],"category_scores_gemma":[0.0005315277,0.00007181898,0.0001063332,0.00007745297,0.00004092691,0.0002008958,0.000124433,0.0002598187,0.000002691758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005202736,"about_ca_system_score_gemma":0.0003466439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000372017,"about_ca_topic_score_gemma":0.0003736224,"domain_scores_codex":[0.9978601,0.0001620386,0.0007549775,0.000192196,0.0006840962,0.0003465301],"domain_scores_gemma":[0.9981329,0.0003347627,0.000739661,0.0004141058,0.0002582367,0.0001202781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.008403625,0.003445162,0.03580877,0.003059997,0.001090031,0.000009311342,0.02088872,0.000630306,0.00140176,0.02421611,0.2135265,0.6875197],"study_design_scores_gemma":[0.03732475,0.01360368,0.2971487,0.003378103,0.000786205,0.001527588,0.0042011,0.03213987,0.001305557,0.3318207,0.2749026,0.001861168],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04812606,0.002039436,0.8067362,0.1181035,0.01300595,0.006654833,0.005272301,0.00003738817,0.00002436805],"genre_scores_gemma":[0.9543543,0.00002320121,0.03681309,0.007318622,0.001144652,0.00002437999,0.0002554719,0.00004196694,0.00002425426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9062283,"threshold_uncertainty_score":0.4125704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09274652785753808,"score_gpt":0.3711222443546895,"score_spread":0.2783757164971515,"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."}}