{"id":"W3124104293","doi":"10.2139/ssrn.2075941","title":"News, Politics, and Negativity","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Social and Intergroup Psychology","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Politics; Negativity effect; Political science; Psychology; Social psychology; Law","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":[0.002756019,0.000183524,0.0002382292,0.0008275846,0.001689362,0.00446918,0.0003113152,0.001061774,0.009114387],"category_scores_gemma":[0.01259826,0.0001999052,0.0001478201,0.0007976218,0.003587125,0.002233307,0.00126075,0.001040174,0.0005097672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006390504,"about_ca_system_score_gemma":0.0004227119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001185275,"about_ca_topic_score_gemma":0.002133313,"domain_scores_codex":[0.9988829,0.0006306893,0.0000396661,0.0001315428,0.000192147,0.0001229247],"domain_scores_gemma":[0.9831601,0.0118831,0.002536305,0.0007073689,0.000668805,0.001044496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003952999,0.001828075,0.4918656,0.0004686626,0.0002719607,0.001545636,0.04686595,0.001293871,0.008889074,0.3512032,0.008948417,0.08286659],"study_design_scores_gemma":[0.0002034042,0.000454767,0.6687599,0.000184547,0.0002707666,0.001194222,0.04866549,0.001453941,0.001555125,0.2476305,0.02951152,0.0001158285],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7964767,0.001177566,0.0006061583,0.006138778,0.0001342072,0.000009513063,0.00009358813,0.000007633784,0.1953559],"genre_scores_gemma":[0.9977956,0.000231777,0.00006332702,0.0003091517,0.00009321707,0.000005274482,0.00001843558,0.000005551918,0.001477701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009114387,"threshold_uncertainty_score":0.03049064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01675835993169632,"score_gpt":0.3255222626752752,"score_spread":0.3087639027435789,"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."}}