{"id":"W3145889037","doi":"10.46692/9781447352013.001","title":"Policy Learning and Policy Failure: Definitions, Dimensions and Intersections","year":2020,"lang":"en","type":"other","venue":"","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Policy learning; Computer science; Mathematics education; Political science; Psychology; Machine learning","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":[0.04604611,0.001698686,0.001733752,0.01132365,0.01479016,0.04311763,0.006249377,0.01571261,0.0101888],"category_scores_gemma":[0.05398737,0.0009611446,0.0009425092,0.01969512,0.165212,0.04777095,0.03147114,0.0228852,0.001252306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0293098,"about_ca_system_score_gemma":0.01787741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007130038,"about_ca_topic_score_gemma":0.00331472,"domain_scores_codex":[0.9351869,0.04232208,0.002501011,0.004505724,0.009812233,0.005671962],"domain_scores_gemma":[0.8880414,0.08103421,0.0127728,0.004001132,0.007920731,0.006229688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001299576,0.00004831787,0.001853761,0.0003665281,0.000009747831,0.0001412382,0.03303521,0.0003723853,0.0000173883,0.9445441,0.006000916,0.01359741],"study_design_scores_gemma":[0.00001234807,0.0000290537,0.001220951,0.002894788,0.000009350635,0.0003385901,0.0684836,0.0009434917,0.00005918142,0.8005064,0.1254455,0.00005681833],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.04359462,0.07163213,0.03451844,0.5913412,0.001884232,0.0003046608,0.0003173698,0.000283816,0.2561235],"genre_scores_gemma":[0.9246642,0.03131403,0.008516598,0.02349968,0.002215172,0.0006367049,0.0002141102,0.0002230019,0.008716546],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.04604611,"threshold_uncertainty_score":0.243518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0342524843323118,"score_gpt":0.3373030562674771,"score_spread":0.3030505719351653,"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."}}