{"id":"W2979347092","doi":"10.1162/glep_a_00528","title":"What Drives Norm Success? Evidence from Anti–Fossil Fuel Campaigns","year":2019,"lang":"en","type":"article","venue":"Global Environmental Politics","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Novelis (Canada)","funders":"","keywords":"Subsidy; Divestment; Economics; Norm (philosophy); Early adopter; Attractiveness; Equity (law); Public economics; Business; Microeconomics; Marketing; Political science; Market economy; Finance; Law","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":[0.01297831,0.0002403805,0.000495178,0.001315211,0.001251971,0.003623205,0.0009080608,0.001861646,0.01655211],"category_scores_gemma":[0.06822059,0.0003365987,0.0003458496,0.001667242,0.002454664,0.002612998,0.00166942,0.002272766,0.00161337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007207591,"about_ca_system_score_gemma":0.0008954974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008231012,"about_ca_topic_score_gemma":0.008172238,"domain_scores_codex":[0.99382,0.003288742,0.0003915674,0.0007181187,0.0009589989,0.0008225642],"domain_scores_gemma":[0.8154212,0.112684,0.04857196,0.008725994,0.008839709,0.005757097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001662525,0.002340767,0.8511604,0.0006214019,0.0005529799,0.000319051,0.009340035,0.0005285995,0.0006261236,0.02153761,0.007392682,0.1039177],"study_design_scores_gemma":[0.0001386752,0.0005090478,0.9582949,0.000366733,0.0003305519,0.0001087215,0.0091442,0.0006893908,0.0008422091,0.006599791,0.02293096,0.00004483297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.913386,0.003742196,0.00104191,0.009009205,0.0002136647,0.00007699877,0.0005714027,0.00002206514,0.0719365],"genre_scores_gemma":[0.995564,0.0008990658,0.0001787057,0.0007958136,0.0001021154,0.00002696664,0.0002123365,0.00001752866,0.002203565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01655211,"threshold_uncertainty_score":0.06863666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04144738512772426,"score_gpt":0.2376378654699907,"score_spread":0.1961904803422665,"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."}}