{"id":"W3097983960","doi":"10.1177/0020702020968942","title":"What drives consumer activism during trade disputes? Experimental evidence from Canada","year":2020,"lang":"en","type":"article","venue":"International Journal Canada s Journal of Global Policy Analysis","topic":"World Trade Organization Law","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Protectionism; Populism; Punitive damages; Microfoundations; Context (archaeology); Economics; Political economy; Government (linguistics); Elite; Political science; Peer pressure; International trade; Law; Politics; Macroeconomics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002434482,0.0002146936,0.0004527507,0.0001705039,0.000426747,0.000783529,0.001338225,0.00006002011,0.0009966879],"category_scores_gemma":[0.00112854,0.0002088176,0.0003077576,0.001460477,0.0001577005,0.001958949,0.00008170123,0.0004141201,0.000001451313],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005776884,"about_ca_system_score_gemma":0.0119931,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9880279,"about_ca_topic_score_gemma":0.9969834,"domain_scores_codex":[0.9951805,0.00035117,0.0008643457,0.0002167335,0.003007931,0.0003792975],"domain_scores_gemma":[0.9969735,0.0002394313,0.001081452,0.0001069889,0.0005759121,0.001022698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001900031,0.0005905711,0.5303303,0.0000262116,0.05528805,0.01677139,0.02913253,0.0358707,0.01188617,0.009302612,0.3035018,0.00539956],"study_design_scores_gemma":[0.004007412,0.0001723361,0.595253,0.0007431419,0.003434639,0.0009158909,0.04039372,0.0006554155,0.01707042,0.0007510022,0.3347948,0.001808273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5950031,0.002145321,0.0001315361,0.4010204,0.001458069,0.00003818412,0.000089467,0.000007094143,0.0001069198],"genre_scores_gemma":[0.9899734,0.000776213,0.0001385757,0.006117034,0.002945981,4.507361e-7,0.000004535609,0.00001268442,0.00003113463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3949704,"threshold_uncertainty_score":0.9999166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01739069767240882,"score_gpt":0.3152439788210408,"score_spread":0.297853281148632,"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."}}