{"id":"W2144702205","doi":"10.1109/cmpsac.1988.17220","title":"Coherent analysis of argumentative discourse","year":2003,"lang":"en","type":"article","venue":"","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Argumentative; Computer science; Argument (complex analysis); Interpretation (philosophy); Linguistics; Computational linguistics; Natural language processing; Artificial intelligence; 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":[0.008683839,0.0008613786,0.0008610717,0.006944002,0.002783751,0.007664681,0.001307162,0.001882344,0.006580523],"category_scores_gemma":[0.02464005,0.0007782818,0.001747259,0.004676131,0.007774726,0.0123925,0.00398451,0.00242568,0.0009225721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003355693,"about_ca_system_score_gemma":0.001656405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001364865,"about_ca_topic_score_gemma":0.001152817,"domain_scores_codex":[0.9885966,0.006974958,0.0006302528,0.001190568,0.002205331,0.0004022642],"domain_scores_gemma":[0.9873772,0.008699739,0.0007588264,0.001069909,0.001891764,0.0002025593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001044313,0.000006180078,0.0001019842,0.00006489499,0.00001801591,0.00004945611,0.001119912,0.0007490153,0.0002036062,0.9866659,0.001335143,0.00967544],"study_design_scores_gemma":[0.000009524282,0.000007277311,0.000104149,0.00004315756,0.00001078609,0.00003478038,0.0003635972,0.006895871,0.000389674,0.9822574,0.009874145,0.000009699895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01480085,0.005853259,0.9151112,0.006200768,0.0003167282,0.0001994534,0.0003664499,0.0003402496,0.05681114],"genre_scores_gemma":[0.531363,0.002376588,0.4537647,0.0005940829,0.0005104152,0.0005465036,0.0007692236,0.0002186422,0.009856788],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008683839,"threshold_uncertainty_score":0.04592514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01655444284642213,"score_gpt":0.2891005198242833,"score_spread":0.2725460769778611,"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."}}