{"id":"W3047511308","doi":"10.1080/10495142.2020.1798857","title":"Reputation and Brand Management by Political Parties: Party Vetting of Election Candidates in Canada","year":2020,"lang":"en","type":"article","venue":"Journal of Nonprofit & Public Sector Marketing","topic":"Social Media and Politics","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Memorial University of Newfoundland","funders":"","keywords":"Vetting; Reputation; Politics; Harm; Opposition (politics); Social media; Political science; Public relations; Democracy; Normative; Political communication; Advertising; Business; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001716229,0.0001122002,0.0002559864,0.001466158,0.009791945,0.003248099,0.0007523596,0.000594385,0.004867806],"category_scores_gemma":[0.005537687,0.0001893253,0.0002113077,0.002417567,0.0019147,0.0005902683,0.001295528,0.001039594,0.0002876579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03665287,"about_ca_system_score_gemma":0.03571691,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9819001,"about_ca_topic_score_gemma":0.9951375,"domain_scores_codex":[0.9982526,0.0002269784,0.00003360138,0.000118241,0.0006940382,0.0006746714],"domain_scores_gemma":[0.9952487,0.0006208072,0.0008743821,0.0001499076,0.001619634,0.001486568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002866695,0.0003156599,0.8891608,0.00005367044,0.00003068055,0.0005888696,0.0477742,0.000238147,0.0009387705,0.005696115,0.00728927,0.0476271],"study_design_scores_gemma":[0.00001413798,0.00005752705,0.9430008,0.0000332962,0.00001537851,0.00008044747,0.04144046,0.0006570739,0.0003363484,0.0003271093,0.01400518,0.00003221287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906792,0.00009514464,0.00005304058,0.0008073866,0.000008664848,0.00001946451,0.0001172458,0.000003498512,0.008216327],"genre_scores_gemma":[0.9958165,0.00006992065,0.00005702486,0.00007637039,0.000002932782,0.000003459952,0.00006019092,0.000003232213,0.003910372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03665287,"threshold_uncertainty_score":0.2659364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01968519365347832,"score_gpt":0.2654296782713724,"score_spread":0.2457444846178941,"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."}}