{"id":"W3094252601","doi":"10.1016/j.healthpol.2020.10.007","title":"Effect of Strict and Soft Policy Interventions on Laboratory Diagnostic Testing in Ontario, Canada: A Bayesian Structural Time Series Analysis","year":2020,"lang":"en","type":"article","venue":"Health Policy","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Medical Association","funders":"Ontario Ministry of Health and Long-Term Care","keywords":"Psychological intervention; Intervention (counseling); Health policy; Medicine; Actuarial science; Business; Nursing; Public health","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007087239,0.0007018503,0.001570518,0.001075958,0.002546157,0.003156269,0.00300265,0.002740454,0.005746728],"category_scores_gemma":[0.03028021,0.0008642174,0.001971059,0.002520537,0.002842946,0.001322554,0.001819726,0.003310728,0.0003689435],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09768619,"about_ca_system_score_gemma":0.1393316,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9984359,"about_ca_topic_score_gemma":0.9981142,"domain_scores_codex":[0.9953781,0.001102896,0.0002528441,0.0005838705,0.0007688652,0.0019133],"domain_scores_gemma":[0.9757075,0.01067922,0.004223089,0.0007386363,0.004826512,0.003825001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004206475,0.0009968821,0.6590099,0.0004175585,0.002284549,0.0006404393,0.002563549,0.2257132,0.0008649143,0.03981286,0.03533216,0.02815747],"study_design_scores_gemma":[0.001131156,0.0004894575,0.6874784,0.0002862019,0.002006204,0.00009419656,0.004777575,0.2815915,0.0007038538,0.007904546,0.01322227,0.0003146762],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552094,0.002125034,0.002723411,0.01949993,0.0001750119,0.000233273,0.01370774,0.0001322564,0.006193836],"genre_scores_gemma":[0.9859217,0.001325639,0.0008970456,0.0007052393,0.00005298579,0.00005778829,0.002829458,0.00002472042,0.008185335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9023138,"threshold_uncertainty_score":0.7087662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03640524498332319,"score_gpt":0.304694814543103,"score_spread":0.2682895695597798,"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."}}