{"id":"W2989300732","doi":"10.20381/ruor-24040","title":"Making Sense of Negative Campaigning in Canadian Federal Elections","year":2019,"lang":"en","type":"dissertation","venue":"uO Research (University of Ottawa)","topic":"Social Media and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sense (electronics); Political science; Public administration; Engineering; Electrical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004052368,0.0003252311,0.0004301354,0.002753936,0.0109161,0.005882784,0.0008188807,0.0006442936,0.004526833],"category_scores_gemma":[0.01605528,0.000279176,0.0002922815,0.003917398,0.003808165,0.001302366,0.002509282,0.001546998,0.0002469504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03634004,"about_ca_system_score_gemma":0.02899985,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9652579,"about_ca_topic_score_gemma":0.9819326,"domain_scores_codex":[0.9946515,0.0008979985,0.0001487487,0.0004200377,0.00270873,0.001172932],"domain_scores_gemma":[0.9908522,0.002068408,0.002000337,0.0004618515,0.00332215,0.001295169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004155142,0.0001515164,0.5009283,0.000364306,0.0001369415,0.0008225417,0.367009,0.0003546046,0.001828904,0.02002462,0.02498866,0.08297512],"study_design_scores_gemma":[0.00001415137,0.00003712422,0.7181163,0.0001671553,0.00005621731,0.0001125531,0.2079524,0.0004200838,0.0003291779,0.0009714477,0.07168868,0.0001345469],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.927187,0.0007505713,0.0003547223,0.003435866,0.0001500224,0.00006078969,0.0005798689,0.00002180486,0.06745923],"genre_scores_gemma":[0.9957958,0.0002693535,0.0001339634,0.0003023122,0.00002250967,0.00001200852,0.0001538006,0.000008500025,0.003301715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03634004,"threshold_uncertainty_score":0.2636667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09325721717487899,"score_gpt":0.4076973644394908,"score_spread":0.3144401472646118,"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."}}