{"id":"W2406427413","doi":"","title":"Argumentation, Ideology, and Issue Framing in Parliamentary Discourse.","year":2014,"lang":"en","type":"article","venue":"","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Argumentation theory; Argumentative; Framing (construction); Ideology; Epistemology; Linguistics; Politics; Argument (complex analysis); Sociology; Immigration; Political science; Law; Philosophy; History","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002444285,0.0000568508,0.00007820826,0.00006143441,0.0000404044,0.0000489512,0.0001237218,0.00002655413,0.0000394147],"category_scores_gemma":[0.00001136376,0.00004816979,0.000009263867,0.00007666262,0.00001775365,0.0003592087,0.00005989735,0.00003660914,0.0000358861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001552361,"about_ca_system_score_gemma":0.000005380526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006770846,"about_ca_topic_score_gemma":0.0002695489,"domain_scores_codex":[0.9994101,0.00005994996,0.0001481711,0.0001901408,0.00008146897,0.0001101474],"domain_scores_gemma":[0.9997185,0.0000502003,0.00004240809,0.0001460654,0.000009180468,0.00003358616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003045787,0.0001078883,0.6250356,0.00005033743,0.00001653469,0.000005649963,0.005551181,0.0001904448,0.003667318,0.1014055,0.00494622,0.2590203],"study_design_scores_gemma":[0.001428298,0.0001120581,0.6233246,0.0000598718,0.000005626783,0.00001142158,0.00118383,0.3517348,0.004418339,0.005069764,0.01229348,0.000357938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3966112,0.00006974309,0.5990827,0.002628079,0.0003434709,0.0001268612,2.313352e-7,0.00004216747,0.001095536],"genre_scores_gemma":[0.985819,0.000008921446,0.01300982,0.0007918617,0.00004963542,0.000008615229,0.000002181117,0.000002462017,0.000307439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5892078,"threshold_uncertainty_score":0.1964307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008988475046274523,"score_gpt":0.2659901676108725,"score_spread":0.2570016925645979,"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."}}