{"id":"W7097351281","doi":"","title":"The health status of chi...","year":2011,"lang":"en","type":"article","venue":"","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Health information; Public health; Qualitative research; Health services research; Research design; MEDLINE","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000667028,0.0001559056,0.0002353736,0.0009497273,0.001929445,0.001681518,0.0003773144,0.0004082709,0.01895689],"category_scores_gemma":[0.002551901,0.00006072948,0.0001684416,0.001598595,0.0008922431,0.0007148372,0.0009568566,0.0006653427,0.002123534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003465018,"about_ca_system_score_gemma":0.006708927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.348102,"about_ca_topic_score_gemma":0.4152514,"domain_scores_codex":[0.9995008,0.00007749291,0.00002172892,0.00004511284,0.0001099685,0.0002449198],"domain_scores_gemma":[0.9985915,0.0001204514,0.0002243657,0.00004095764,0.0004619109,0.0005607932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001114712,0.0001315956,0.8804131,0.000258864,0.00003798243,0.0003392021,0.01119509,0.00004872611,0.0005423459,0.003407927,0.02055567,0.08295821],"study_design_scores_gemma":[0.000005882941,0.0001139446,0.9581036,0.0002302792,0.00002684121,0.0002665737,0.0128239,0.00008990605,0.0001104038,0.0008184365,0.02738725,0.00002298435],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8444676,0.003843241,0.0002471533,0.01514388,0.0002971777,0.0001144321,0.008644889,0.0000390659,0.1272025],"genre_scores_gemma":[0.9774002,0.001931342,0.0002389132,0.001284318,0.0001253509,0.00006898847,0.001801426,0.000007245588,0.01714214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.348102,"threshold_uncertainty_score":0.6921517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1216817236873682,"score_gpt":0.4293113893135967,"score_spread":0.3076296656262285,"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."}}