{"id":"W2754281940","doi":"10.1075/jlp.17008.sma","title":"Online negativity in Canada","year":2017,"lang":"en","type":"article","venue":"Journal of Language and Politics","topic":"Social Media and Politics","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Negativity effect; Tone (literature); Adversary; Empirical evidence; Political science; Personality; Empirical research; Public relations; Social psychology; Advertising; Psychology; Business; Computer science; Linguistics; Computer security","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":[0.001782445,0.0002958273,0.000442773,0.003145773,0.01155344,0.005305756,0.0009709547,0.0007457194,0.007894397],"category_scores_gemma":[0.008208272,0.0002093638,0.0002271196,0.005808204,0.004191465,0.001083299,0.002562047,0.001280688,0.0004649637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0439263,"about_ca_system_score_gemma":0.03889735,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9795101,"about_ca_topic_score_gemma":0.9845278,"domain_scores_codex":[0.9969716,0.0003282623,0.0000661412,0.0003244408,0.001363623,0.000945846],"domain_scores_gemma":[0.9909174,0.001870879,0.00145607,0.0003416006,0.003525419,0.001888807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004939362,0.0001138155,0.6061688,0.0003773912,0.00007259831,0.001926719,0.2556628,0.000578906,0.004729826,0.02729747,0.03454441,0.06803326],"study_design_scores_gemma":[0.00001500484,0.00005563066,0.6763073,0.0001700158,0.00004506659,0.0003225312,0.1836351,0.00103473,0.001308966,0.001668261,0.1352739,0.0001634908],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9215414,0.0006878002,0.0002624333,0.004812339,0.00009535946,0.00004391082,0.001888961,0.00002830814,0.07063948],"genre_scores_gemma":[0.9933501,0.0003240948,0.00007623602,0.0003018994,0.00001953678,0.00001108787,0.0002826387,0.00001291215,0.005621445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0439263,"threshold_uncertainty_score":0.3187091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02608884527467249,"score_gpt":0.3497679817756057,"score_spread":0.3236791365009332,"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."}}