{"id":"W2158317896","doi":"10.7202/004627ar","title":"Computational Discourse Analysis for Interpretation","year":2002,"lang":"fr","type":"article","venue":"Meta Journal des traducteurs","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005348144,0.001892778,0.001410361,0.006489637,0.003061646,0.01376637,0.002972861,0.002662756,0.04984858],"category_scores_gemma":[0.02095682,0.000877365,0.00279578,0.005600906,0.007089091,0.01526935,0.006640594,0.003498263,0.008938858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00512635,"about_ca_system_score_gemma":0.003896564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005666933,"about_ca_topic_score_gemma":0.005226605,"domain_scores_codex":[0.9946702,0.003265034,0.0004275421,0.0009382363,0.0005508284,0.0001481821],"domain_scores_gemma":[0.9906017,0.006713057,0.0004357645,0.0014682,0.0005710619,0.0002102719],"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":[0.00006080571,0.00002860111,0.000394382,0.0006332971,0.00007612749,0.0001446313,0.001784389,0.002658093,0.0002198486,0.8811781,0.02190156,0.09092004],"study_design_scores_gemma":[0.00001169206,0.000006781422,0.000170936,0.0002917073,0.00001854172,0.00007467104,0.0006233534,0.01017231,0.0001871137,0.9076403,0.08078688,0.00001559396],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005692156,0.03033637,0.7446542,0.02335281,0.001473763,0.0005416789,0.00464558,0.003669682,0.1856338],"genre_scores_gemma":[0.2429589,0.01198369,0.6861815,0.002019676,0.001254213,0.00179012,0.008538778,0.001614909,0.04365823],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04984858,"threshold_uncertainty_score":0.1667601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0722304476494293,"score_gpt":0.2989219815210896,"score_spread":0.2266915338716603,"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."}}