{"id":"W2052355231","doi":"10.1080/10599240902739802","title":"Planning Without Facts: Ontario's Aboriginal Health Information Challenge","year":2009,"lang":"en","type":"article","venue":"Journal of Agromedicine","topic":"Public Health Policies and Education","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thunder Bay Regional Health Sciences Centre","funders":"","keywords":"Identifier; Health care; Service (business); Business; Population; Information system; Public relations; Medicine; Geography; Environmental health; Political science; Marketing; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002166288,0.0001263785,0.0004480823,0.0003719023,0.0004035926,0.00001021712,0.0001586092,0.0001183095,0.0003778613],"category_scores_gemma":[0.0001987204,0.00008892812,0.00004728841,0.0002033415,0.00002385567,0.0008138935,0.000007991116,0.001136678,0.00004696232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113771,"about_ca_system_score_gemma":0.004267273,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.012153,"about_ca_topic_score_gemma":0.001141054,"domain_scores_codex":[0.9973511,0.0001573141,0.001387894,0.00006567797,0.0004901856,0.0005478706],"domain_scores_gemma":[0.9971372,0.0001194857,0.001507118,0.0001429276,0.000562255,0.0005309879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002937802,0.0002267471,0.0376164,0.0004456063,0.00004993316,0.000009819561,0.2810347,0.00005010758,0.00002307322,0.002573347,0.6381478,0.03952869],"study_design_scores_gemma":[0.00111876,0.001265213,0.3609978,0.0007272991,0.000008489249,0.00003076384,0.008101186,0.00001510181,3.368614e-7,0.0003346728,0.6273437,0.00005668276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6450794,0.0007343881,0.001893976,0.3253053,0.004070497,0.0004906497,0.000004244655,0.00004132969,0.02238026],"genre_scores_gemma":[0.930047,0.0005968899,0.001036134,0.06312641,0.004008758,0.00000514222,0.00002867933,0.000009279531,0.001141706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3233814,"threshold_uncertainty_score":0.9944252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05490361934751898,"score_gpt":0.4838182915616726,"score_spread":0.4289146722141536,"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."}}