{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005682513,0.0001000465,0.0001495336,0.00004774021,0.0001268167,0.00004465404,0.0002389593,0.00004499366,0.00003541528],"category_scores_gemma":[0.0003876858,0.00007170111,0.00003641712,0.0001346206,0.00000790431,0.0001718593,0.00007214332,0.00006084832,0.00002908971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001292377,"about_ca_system_score_gemma":0.00003266737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007780762,"about_ca_topic_score_gemma":0.00159925,"domain_scores_codex":[0.9989093,0.00006641899,0.0002867334,0.0002173896,0.0001918949,0.0003282606],"domain_scores_gemma":[0.9987919,0.0001843397,0.0002310499,0.0006712378,0.00005310568,0.00006841194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006556971,0.000149577,0.161633,0.0005973774,0.00005223393,2.044858e-7,0.0006934644,0.00005843415,0.00000128597,0.290528,0.1499903,0.3962305],"study_design_scores_gemma":[0.0006880023,0.000007568414,0.8799724,0.00002296041,0.0000261289,0.000002415774,0.0001810223,0.01507809,0.000007438036,0.02950441,0.07434591,0.0001636823],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6991256,0.0002164216,0.0048991,0.256027,0.00277026,0.02811874,0.002258667,0.0006675689,0.005916535],"genre_scores_gemma":[0.9907038,0.000005755683,0.003189931,0.0006814861,0.0004729967,0.0001507409,0.001617464,0.00003090957,0.003146882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7183393,"threshold_uncertainty_score":0.2923886,"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."}}