{"id":"W4238470918","doi":"10.1017/cbo9780511619311","title":"Media Argumentation","year":2007,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Argumentation theory; Persuasion; Dialogical self; Argument (complex analysis); Epistemology; Variety (cybernetics); Political communication; Action (physics); Politics; Informal logic; Identification (biology); Mass media; Computer science; Sociology; Political science; Artificial intelligence; Psychology; Social psychology; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002240996,0.0002576824,0.000278496,0.0002837737,0.000151528,0.00009475817,0.0009289627,0.0003118098,0.000001774655],"category_scores_gemma":[0.000009538187,0.0003059764,0.0001486866,0.00002515507,0.0000594978,0.0002767333,0.0003276592,0.0002641057,0.0000510802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004438873,"about_ca_system_score_gemma":0.0001889414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001190576,"about_ca_topic_score_gemma":0.000004742656,"domain_scores_codex":[0.9984623,0.0000737931,0.0002172074,0.0005237579,0.0004523098,0.0002706578],"domain_scores_gemma":[0.9986421,0.00012142,0.0003153615,0.00061999,0.0001417513,0.0001593987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001006392,0.00001071128,0.000002863369,0.00006535541,0.00004874218,0.0001444773,0.0002429166,0.00000286982,0.00005500728,0.8296784,0.1661233,0.003615262],"study_design_scores_gemma":[0.0005420552,0.00002170715,0.0001362745,0.0001085699,0.00004784028,0.000009916405,0.0000177036,0.001127175,0.0006422116,0.000007503364,0.9969717,0.0003673387],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003881237,0.00006392668,0.1659162,0.000008473612,0.0008856228,0.0003263461,0.000035672,0.0002038228,0.8325211],"genre_scores_gemma":[0.0004029647,0.00002634325,0.001458682,0.00007414779,0.0002518724,6.187481e-7,0.00009947098,0.00001851398,0.9976674],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8308484,"threshold_uncertainty_score":0.9999393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02708044256777442,"score_gpt":0.2152147608468006,"score_spread":0.1881343182790262,"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."}}