{"id":"W1571632442","doi":"10.2139/ssrn.1026925","title":"Ideology Classifiers for Political Speech","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Media Influence and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Ideology; Politics; Linguistics; Political science; Speech recognition; Sociology; Computer science; Law; 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":[0.005658221,0.00008615416,0.000134514,0.000104046,0.0005245524,0.00003671972,0.0002822854,0.0001730775,0.0000686274],"category_scores_gemma":[0.0009142187,0.00008012712,0.000111426,0.0001286029,0.0003350303,0.000126607,0.00001115132,0.001006161,0.00004983294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001213066,"about_ca_system_score_gemma":0.004697353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005921921,"about_ca_topic_score_gemma":0.009653266,"domain_scores_codex":[0.9941643,0.00008534188,0.0002565178,0.0001011035,0.0002848805,0.005107781],"domain_scores_gemma":[0.9989055,0.0004289214,0.00007735318,0.00008585012,0.0001433807,0.0003589395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002228784,0.00001491288,0.003702146,0.000001581106,0.00002364655,0.000003721514,0.0007504211,1.836646e-7,0.00003706175,0.98566,0.0003574045,0.009426611],"study_design_scores_gemma":[0.0003016281,0.0001631848,0.0003066837,0.000003836707,0.00001941766,0.00009682592,0.02299235,0.000002122199,0.0001284824,0.8265698,0.1493128,0.0001029219],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7641658,0.001009241,0.06041315,0.02888015,0.002750454,0.0005270603,0.000006258697,0.0001007594,0.1421471],"genre_scores_gemma":[0.9900067,0.0004011593,0.0003874352,0.001681975,0.002782698,0.00000315974,0.000001513718,0.00001195712,0.004723382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2258409,"threshold_uncertainty_score":0.8332903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02556849753778421,"score_gpt":0.3655900343524092,"score_spread":0.340021536814625,"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."}}