{"id":"W3028152186","doi":"","title":"Environmental Scan of Métis Health Information, Initiatives and Programs","year":2002,"lang":"en","type":"article","venue":"uO Research (University of Ottawa)","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business; Computer science; Public relations; Political science","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":[0.001540804,0.0002174637,0.000174102,0.01196691,0.001357747,0.001298528,0.0005987518,0.0003875528,0.01829919],"category_scores_gemma":[0.006308228,0.0002501357,0.0002433488,0.01545194,0.0002573681,0.0007384873,0.0009328212,0.0004357705,0.002140641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003096816,"about_ca_system_score_gemma":0.007980271,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1978596,"about_ca_topic_score_gemma":0.3535035,"domain_scores_codex":[0.9981463,0.000428508,0.0001488332,0.0001934999,0.0008195158,0.0002634193],"domain_scores_gemma":[0.9923753,0.002018252,0.0009931519,0.0004181579,0.003773966,0.0004210776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008383459,0.0002300176,0.5219868,0.001349997,0.0001903971,0.0006726179,0.004450959,0.001993359,0.003894529,0.01074174,0.215904,0.2377473],"study_design_scores_gemma":[0.00003521231,0.0001113612,0.5105745,0.0003337223,0.0001235677,0.0002515308,0.004685256,0.001294347,0.005794707,0.00096015,0.4758057,0.0000299539],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2703491,0.001764598,0.002957901,0.006160513,0.0001816179,0.0006141639,0.4573537,0.001292487,0.259326],"genre_scores_gemma":[0.7136821,0.002081154,0.01624955,0.001429089,0.0002578849,0.0009305038,0.1811884,0.0005600189,0.08362139],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8021404,"threshold_uncertainty_score":0.3934159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06925050492123978,"score_gpt":0.29966825019491,"score_spread":0.2304177452736702,"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."}}