{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001642368,0.0001368899,0.0005463877,0.00006326822,0.0004484605,0.0002060751,0.0001796279,0.00004389471,0.0001543597],"category_scores_gemma":[0.0004633782,0.0001106515,0.0001807106,0.001013262,0.0007529522,0.00008408132,0.0001126888,0.0001240948,0.0000592766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006487583,"about_ca_system_score_gemma":0.00002495496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006197572,"about_ca_topic_score_gemma":0.001298027,"domain_scores_codex":[0.9987372,0.00001440398,0.0004695535,0.0003172843,0.00005495694,0.0004066635],"domain_scores_gemma":[0.9991451,0.0001620679,0.0002210829,0.0002446164,0.00004970871,0.0001774342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007021125,0.0000293071,0.9152452,0.00002425092,0.0006539178,0.000003138045,0.008360192,0.00001138172,0.0002851363,0.06286864,0.01190097,0.0005475936],"study_design_scores_gemma":[0.0005181383,0.0002026305,0.6072733,0.00001420371,0.000425414,0.000001992462,0.004765001,0.0007543502,0.002381178,0.002327079,0.3809078,0.0004288888],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730318,0.003025587,0.00002026334,0.01919717,0.0001094833,0.00008908298,0.0001800041,0.0000264256,0.004320183],"genre_scores_gemma":[0.997417,0.0001120558,0.00006216292,0.001348986,0.0001086897,0.00001815643,0.00002047032,0.00001235711,0.0009000983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3690068,"threshold_uncertainty_score":0.4512236,"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."}}