{"id":"W2287060587","doi":"","title":"Negative partisanship is real, measurable, and affects political behaviour","year":2014,"lang":"en","type":"article","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Social Media and Politics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Framing (construction); Political science; Political economy; Social psychology; American political science; Positive economics; Psychology; Sociology; Economics; Law; History","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":[0.002720301,0.0003165543,0.000375924,0.001279215,0.002017116,0.003038417,0.0002663123,0.0007134322,0.006270975],"category_scores_gemma":[0.01144443,0.0002735511,0.0002320724,0.001315816,0.004064764,0.001432232,0.002332334,0.001384123,0.000764638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001218423,"about_ca_system_score_gemma":0.0005045172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009840722,"about_ca_topic_score_gemma":0.01446987,"domain_scores_codex":[0.9963814,0.001674902,0.0001234916,0.0003430476,0.00101094,0.0004661777],"domain_scores_gemma":[0.9825224,0.007441444,0.005689581,0.0009086165,0.001602518,0.001835405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001942029,0.0003021858,0.87163,0.0002985625,0.0003528479,0.0003029611,0.03099837,0.0003742723,0.001889631,0.01892353,0.01025925,0.0644742],"study_design_scores_gemma":[0.00001394061,0.0001214815,0.9311621,0.0001781115,0.00008262991,0.0003932504,0.02058339,0.0004206053,0.0005397337,0.01257473,0.03385637,0.00007369104],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8756393,0.001485516,0.001407553,0.005405237,0.0001719243,0.00002271472,0.0003767076,0.00003958765,0.1154515],"genre_scores_gemma":[0.9975334,0.0004504937,0.0001371113,0.0004294627,0.00006599356,0.000007144945,0.00009804443,0.0000151312,0.001263064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009840722,"threshold_uncertainty_score":0.02097851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07904671960655234,"score_gpt":0.3972237055899561,"score_spread":0.3181769859834037,"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."}}