{"id":"W3089213347","doi":"","title":"The Temperature at which Partisanship Spreads: A Genre Analysis of American Partisan Political Documentaries","year":2020,"lang":"en","type":"article","venue":"Crossings","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Trustworthiness; Politics; Genre analysis; Polarization (electrochemistry); Political science; Appeal to emotion; Media studies; Law; Sociology; Social psychology; Psychology; Linguistics; Appeal; Philosophy","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":[0.002143089,0.0001876642,0.0002229308,0.006078113,0.002235214,0.00419535,0.0002350278,0.0002955632,0.001870074],"category_scores_gemma":[0.01085584,0.0001452269,0.0001688999,0.00510243,0.001258251,0.001764032,0.001268044,0.0007807881,0.0004516093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0010199,"about_ca_system_score_gemma":0.0004463145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005837417,"about_ca_topic_score_gemma":0.0106469,"domain_scores_codex":[0.998743,0.0005020943,0.00008266424,0.000118026,0.0004024262,0.0001518901],"domain_scores_gemma":[0.987307,0.006194237,0.002044627,0.0007419642,0.003021359,0.0006908688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001189717,0.0002097122,0.2990946,0.0005767723,0.0001096957,0.001021424,0.409732,0.0003092047,0.01657324,0.01600509,0.01464241,0.2405362],"study_design_scores_gemma":[0.00001580773,0.0001456131,0.7853953,0.0002785206,0.00005035145,0.0005056841,0.1539575,0.0007364425,0.00177805,0.001647985,0.05543527,0.00005349865],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96903,0.001088686,0.0006391853,0.0004274084,0.00006801144,0.00004792774,0.0004978925,0.00002415506,0.02817672],"genre_scores_gemma":[0.994831,0.0008901984,0.0006696176,0.00008122624,0.0001313777,0.00004791302,0.0004978743,0.00004691501,0.002803809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006078113,"threshold_uncertainty_score":0.01160687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02983405752410874,"score_gpt":0.2564037442216741,"score_spread":0.2265696866975653,"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."}}