{"id":"W2201684117","doi":"","title":"Emotions in Argumentation: an Empirical Evaluation","year":2015,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Argumentation theory; Persuasion; Process (computing); Argumentation framework; Psychology; Epistemology; Computer science; Social psychology; Cognitive psychology; 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":[0.02204698,0.0006441683,0.001217092,0.002488119,0.002088024,0.004381921,0.001566508,0.001741441,0.009426022],"category_scores_gemma":[0.1583769,0.0004734369,0.001269033,0.001601134,0.00331398,0.004019877,0.003690511,0.002522098,0.0014783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001503256,"about_ca_system_score_gemma":0.00108418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006226918,"about_ca_topic_score_gemma":0.000495607,"domain_scores_codex":[0.9786227,0.0147486,0.001659567,0.001069968,0.00341215,0.000486953],"domain_scores_gemma":[0.7228059,0.2474603,0.008157138,0.00575746,0.01246528,0.003353986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0319204,0.02147025,0.3355582,0.01314452,0.001707991,0.001818525,0.1977618,0.00537232,0.007838556,0.03414742,0.008043527,0.3412164],"study_design_scores_gemma":[0.007732835,0.01507037,0.7609867,0.00477127,0.004183665,0.002654624,0.09470059,0.02399004,0.009327236,0.04074103,0.03519715,0.0006443426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732115,0.0009472166,0.004938535,0.0003687254,0.000109657,0.001428176,0.0002849759,0.00004710852,0.01866419],"genre_scores_gemma":[0.9915087,0.0005253029,0.003378754,0.0001261645,0.00006275961,0.002503996,0.0003230325,0.00005386956,0.001517397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02204698,"threshold_uncertainty_score":0.116597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07016818172012271,"score_gpt":0.3278190571870884,"score_spread":0.2576508754669656,"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."}}