{"id":"W6944258747","doi":"10.17605/osf.io/q6mxc","title":"Policy Diffusion in Canadian Healthcare: a scoping review","year":2023,"lang":"en","type":"other","venue":"Open Science Framework","topic":"Policy Transfer and Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diffusion; Public policy; Government (linguistics); Diffusion of innovations","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004742933,0.0001943345,0.0004682112,0.001117083,0.0009717701,0.0004906498,0.003404774,0.0003695524,0.001359226],"category_scores_gemma":[0.005073339,0.0001951117,0.00005343349,0.00647174,0.0007772541,0.0002811191,0.0002641433,0.0007192875,0.0005671615],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001036592,"about_ca_system_score_gemma":0.02155953,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942847,"about_ca_topic_score_gemma":0.9961875,"domain_scores_codex":[0.9964513,0.0003139511,0.0002845886,0.0006673521,0.0007960243,0.001486772],"domain_scores_gemma":[0.9981325,0.0001700073,0.0001028823,0.0005804471,0.00004130531,0.0009728266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004916019,0.00005605595,0.01340219,0.003474192,0.00001252266,0.0001178128,0.02504049,0.000003310387,0.000002466258,0.6547289,0.1217893,0.1813679],"study_design_scores_gemma":[0.00008194488,0.00001754239,0.001174878,0.2539755,0.000005852239,7.455961e-7,0.0003843249,0.00000249282,3.165126e-7,0.003671023,0.7402335,0.0004517775],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000009071865,0.005386204,0.00001784472,0.05174527,0.0007206855,0.002231843,0.0000177754,0.0001870621,0.9396843],"genre_scores_gemma":[0.01345858,0.2569227,0.002206523,0.04258513,0.003288524,0.0005332145,0.00001039825,0.001119459,0.6798755],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6510578,"threshold_uncertainty_score":0.9995537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06408030279237892,"score_gpt":0.4792876082451885,"score_spread":0.4152073054528095,"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."}}