{"id":"W2008528373","doi":"10.1080/10584609.2012.721868","title":"Negative Advertising and Voter Choice: The Role of Ads in Candidate Selection","year":2012,"lang":"en","type":"article","venue":"Political Communication","topic":"Social and Intergroup Psychology","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Negativity effect; Politics; Selection (genetic algorithm); Social psychology; Political communication; Tone (literature); Robustness (evolution); Advertising; Psychology; Economics; Sociology; Political science; Computer science; Law; Business","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":[0.00517633,0.0003943577,0.000648887,0.0008560442,0.0009328613,0.002551462,0.0004785613,0.001207813,0.02284539],"category_scores_gemma":[0.02880591,0.0002310066,0.0010163,0.0008397796,0.000993351,0.001127466,0.0009144782,0.001546196,0.001185097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006638802,"about_ca_system_score_gemma":0.0004631242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004525797,"about_ca_topic_score_gemma":0.00362899,"domain_scores_codex":[0.996804,0.002073431,0.0001254969,0.0003788371,0.0003278533,0.000290442],"domain_scores_gemma":[0.952575,0.03702096,0.005971986,0.002055692,0.0007783298,0.001598012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006050873,0.00166772,0.9223886,0.0002335959,0.000578801,0.0004184719,0.002121627,0.002037355,0.00281929,0.02039923,0.002518662,0.03876577],"study_design_scores_gemma":[0.0003021194,0.0009694133,0.9584581,0.00006765101,0.0007711067,0.0003112976,0.001471862,0.007415202,0.001512249,0.02381729,0.004845232,0.00005849299],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775869,0.0005246734,0.001659014,0.001571844,0.00005971344,0.00006980423,0.0004674782,0.0000159016,0.01804461],"genre_scores_gemma":[0.9959084,0.0001185852,0.000388694,0.0001360976,0.00004521167,0.00002786026,0.0001734748,0.000007238828,0.003194442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02284539,"threshold_uncertainty_score":0.07642543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02001651435856441,"score_gpt":0.3650813311088248,"score_spread":0.3450648167502604,"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."}}