{"id":"W2147230577","doi":"10.1017/s0143814x13000317","title":"Policy image resilience, multidimensionality, and policy image management: a study of US biofuel policy","year":2014,"lang":"en","type":"article","venue":"Journal of Public Policy","topic":"Policy Transfer and Learning","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Polity; Policy analysis; Economics; Public policy; Public economics; Policy studies; Cohesion (chemistry); Criticism; Political science; Public administration; Economic growth; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004834512,0.000399474,0.0008191403,0.004793211,0.0008230876,0.0003948001,0.00116822,0.0001949025,0.0000488915],"category_scores_gemma":[0.005749709,0.0003589937,0.0002992264,0.004104188,0.001161745,0.001458834,0.0003497083,0.000618619,0.00002109195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005098411,"about_ca_system_score_gemma":0.002945768,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1119085,"about_ca_topic_score_gemma":0.002248622,"domain_scores_codex":[0.9936222,0.0017861,0.001287241,0.0004289499,0.001525728,0.001349724],"domain_scores_gemma":[0.9964895,0.0004212311,0.0008026412,0.0005312047,0.0006579196,0.001097501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001472095,0.002185967,0.03446239,0.0002271895,0.0005197219,0.00006621014,0.04207571,0.00002355237,0.004229923,0.8364113,0.00134935,0.07830145],"study_design_scores_gemma":[0.01139032,0.002151308,0.7657419,0.0002713317,0.0002649375,0.0002230698,0.02115104,0.0001518393,0.0003252791,0.0903613,0.10668,0.001287674],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8464047,0.00009738307,0.0004509024,0.0436544,0.0001268265,0.0004976966,0.00003007835,0.00006825782,0.1086698],"genre_scores_gemma":[0.9903542,0.0006122889,0.001233438,0.001771813,0.004347561,0.00000874815,0.000001690625,0.00004844462,0.001621815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.74605,"threshold_uncertainty_score":0.9998862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0236456072258421,"score_gpt":0.3657060934840946,"score_spread":0.3420604862582525,"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."}}