{"id":"W3008319000","doi":"10.23889/ijpds.v4i2.1131","title":"Population Data Centre Profile: The Manitoba Centre for Health Policy.","year":2019,"lang":"en","type":"article","venue":"PubMed","topic":"Census and Population Estimation","field":"Mathematics","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Manitoba Health","funders":"","keywords":"Government (linguistics); Corporate governance; Population; Data governance; Political science; Public relations; Sociology; Management; Engineering; Operations management; Data quality; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003451528,0.00134033,0.001519813,0.005246001,0.002581275,0.003877945,0.003441672,0.002123749,0.2511865],"category_scores_gemma":[0.01469651,0.001077858,0.0005132703,0.0190679,0.0006978861,0.00158421,0.002578476,0.002241447,0.1151065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01921543,"about_ca_system_score_gemma":0.09725083,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8616481,"about_ca_topic_score_gemma":0.8804235,"domain_scores_codex":[0.9972187,0.0003423634,0.0002179129,0.0004389951,0.001236263,0.000545794],"domain_scores_gemma":[0.9799973,0.001305961,0.0008105841,0.001266673,0.01201272,0.00460682],"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":[0.00005064368,0.0000134998,0.001963022,0.0001650277,0.00001002598,0.00003078184,0.00008793089,0.00007033189,0.0000765711,0.001400655,0.9803061,0.01582543],"study_design_scores_gemma":[0.0000444241,0.000006527806,0.008974481,0.0002306657,0.000006650819,0.00002706872,0.0002113746,0.0001044082,0.00008831958,0.0003654309,0.9899215,0.00001928029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00127521,0.003185573,0.001179836,0.01634695,0.001324685,0.000627278,0.839312,0.002275242,0.1344732],"genre_scores_gemma":[0.0153132,0.00578874,0.01038425,0.005582684,0.0006666294,0.002119066,0.6137388,0.002294663,0.344112],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2511865,"threshold_uncertainty_score":0.8403025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1075279798447083,"score_gpt":0.3477360286160405,"score_spread":0.2402080487713321,"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."}}