{"id":"W2914784542","doi":"10.1177/0952076719827068","title":"Causal logics and mechanisms in policy design: How and why adopting a mechanistic perspective can improve policy design","year":2019,"lang":"en","type":"article","venue":"Public Policy and Administration","topic":"Policy Transfer and Learning","field":"Social Sciences","cited_by":163,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Perspective (graphical); Causal chain; Policy analysis; Management science; Focus (optics); Risk analysis (engineering); Computer science; Process management; Business; Economics; Political science; Public administration; Epistemology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0861344,0.001876319,0.001750879,0.006043657,0.005653697,0.01820287,0.004479298,0.008120624,0.01019005],"category_scores_gemma":[0.1039269,0.001926855,0.002315722,0.0041639,0.05397905,0.03419532,0.00798577,0.01022143,0.001314746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01624138,"about_ca_system_score_gemma":0.01876988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005520166,"about_ca_topic_score_gemma":0.004859116,"domain_scores_codex":[0.939847,0.0488703,0.001956226,0.002809226,0.004600297,0.001916988],"domain_scores_gemma":[0.8559364,0.1207131,0.007742318,0.008642511,0.004987179,0.001978473],"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":[0.00001259,0.00001753593,0.0002210698,0.0001387615,0.00002636075,0.00002005579,0.0004891766,0.00287398,0.00003766009,0.9916912,0.0003692446,0.004102427],"study_design_scores_gemma":[0.00001455945,0.00001072677,0.00007677668,0.0001561195,0.000011946,0.00001453989,0.0002927841,0.001565754,0.00009096109,0.9937842,0.003967021,0.00001447352],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01315532,0.01550342,0.7261097,0.1424064,0.0009415325,0.0004519807,0.0001613386,0.0004145978,0.1008558],"genre_scores_gemma":[0.7709822,0.009728799,0.2048521,0.007181445,0.0005387969,0.001150524,0.000103953,0.0001812142,0.005281018],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0861344,"threshold_uncertainty_score":0.4555277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05471498348180653,"score_gpt":0.3295057309291713,"score_spread":0.2747907474473648,"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."}}