{"id":"W2068269534","doi":"10.1017/s0008423902778281","title":"How Campaigns Matter in Canada: Priming and Learning as Explanations for the Reform Party's 1993 Campaign Success","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Political Science","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Appeal; Priming (agriculture); Political science; Welfare reform; Affect (linguistics); State (computer science); Welfare; Social psychology; Political economy; Public relations; Psychology; Sociology; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001369101,0.00006683738,0.0001240663,0.0001243082,0.001124351,0.00028565,0.0002827693,0.00003488694,0.0001289319],"category_scores_gemma":[0.001868441,0.0000470933,0.00002672035,0.0003598252,0.0006114179,0.0004199198,0.000008036585,0.0002212988,0.000002872077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002558996,"about_ca_system_score_gemma":0.004284797,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950234,"about_ca_topic_score_gemma":0.998534,"domain_scores_codex":[0.9981543,0.000116157,0.0002268999,0.0001116645,0.0003664229,0.001024545],"domain_scores_gemma":[0.9978233,0.0004789837,0.0000822162,0.0000662963,0.0002029739,0.001346246],"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":[0.000001649992,0.000005066077,0.1777569,0.000009760659,0.000004446574,0.00001769248,0.003839335,0.0000280731,0.00002286841,0.8167855,0.0006785091,0.000850238],"study_design_scores_gemma":[0.000502552,0.0002061396,0.8863904,0.0001722088,0.00004970842,0.00006346018,0.05358314,0.002156218,0.0001911824,0.01132011,0.0449057,0.0004591936],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9322902,0.0001279306,0.0001653768,0.06329016,0.0003085686,0.0001872052,0.000008225309,0.000002392107,0.003619959],"genre_scores_gemma":[0.9982176,0.00000195506,0.00003849849,0.0009380917,0.0002142286,0.000007288413,2.01714e-7,0.000004036951,0.0005781105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8054654,"threshold_uncertainty_score":0.8647713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05390776076386401,"score_gpt":0.3042717420183725,"score_spread":0.2503639812545085,"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."}}