{"id":"W3090108952","doi":"10.1111/ropr.12401","title":"Problem Uncertainty, Institutional Insularity, and Modes of Learning in Canadian Provincial Hydraulic Fracturing Regulation","year":2020,"lang":"en","type":"article","venue":"Review of Policy Research","topic":"Policy Transfer and Learning","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Fredericton; University of New Brunswick","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Hydraulic fracturing; Salience (neuroscience); Politics; Nova scotia; Policy learning; Commission; Political science; Uncertainty; Legitimacy; Public administration; Sociology; Political economy; Law; Engineering; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003221282,0.00007044822,0.0002507376,0.0003645755,0.0003100675,0.00002213522,0.0002088219,0.00007849607,0.0000430987],"category_scores_gemma":[0.003120121,0.00007022198,0.00004313742,0.00115473,0.0004345928,0.0001744689,0.00005685774,0.0004864252,0.000003706147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002938302,"about_ca_system_score_gemma":0.004413807,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8639564,"about_ca_topic_score_gemma":0.3643223,"domain_scores_codex":[0.9975985,0.0008499722,0.0003141119,0.0001751671,0.0006094558,0.0004528049],"domain_scores_gemma":[0.9992181,0.0001780589,0.00005198445,0.00007020111,0.0001718942,0.0003097562],"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":[0.00006363572,0.00008572201,0.09203816,0.0217318,0.00003803982,0.00001245055,0.05125915,0.004927156,0.002431002,0.5868565,0.0002440089,0.2403124],"study_design_scores_gemma":[0.001858919,0.0006541417,0.1718381,0.02502895,0.0000456741,0.0000074642,0.00363558,0.01077596,0.001243743,0.02056292,0.7634879,0.0008606787],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6218457,0.02501578,0.00008350536,0.1151572,0.00001869879,0.002470026,0.00003583906,0.00005326894,0.2353201],"genre_scores_gemma":[0.9878816,0.01149566,0.00007757376,0.0002803191,0.0002042258,0.00001462925,0.000006417329,0.000006428571,0.00003313573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7632439,"threshold_uncertainty_score":0.7829905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09537674300979532,"score_gpt":0.4333810831654614,"score_spread":0.338004340155666,"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."}}