{"id":"W103157384","doi":"10.3233/978-1-60750-049-0-223","title":"On the Measurement of Negotiation Dialogue Games","year":2009,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Negotiation; Computer science; Human–computer interaction; Political science; Law","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":[0.00377143,0.001854103,0.001198219,0.003271706,0.000806296,0.003853137,0.002255782,0.001497603,0.00350914],"category_scores_gemma":[0.0189848,0.0005386524,0.0008126287,0.003530259,0.003383832,0.006495743,0.002319539,0.002295708,0.0008873761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002666991,"about_ca_system_score_gemma":0.0008622951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001583453,"about_ca_topic_score_gemma":0.0006548417,"domain_scores_codex":[0.992407,0.003496292,0.0003781364,0.0008031787,0.002693392,0.0002220535],"domain_scores_gemma":[0.9916781,0.006048345,0.0004651278,0.0005083117,0.001124754,0.0001753297],"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":[0.00005937487,0.00007341585,0.0008786471,0.0003420485,0.00004885301,0.0001027668,0.0009712802,0.02525568,0.002453765,0.8435621,0.003299862,0.1229523],"study_design_scores_gemma":[0.00001601192,0.0001677007,0.002447326,0.0003581913,0.00003395713,0.0003728033,0.0003992728,0.2361629,0.003862198,0.7196882,0.03637061,0.0001208704],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01591771,0.01310797,0.8797411,0.0009041287,0.0004901694,0.0002984766,0.0002330967,0.000427674,0.08887963],"genre_scores_gemma":[0.5267362,0.008542029,0.4449507,0.0004320727,0.000519002,0.001128101,0.0005215145,0.0003044591,0.0168659],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003853137,"threshold_uncertainty_score":0.01994544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06537880198732385,"score_gpt":0.2584325603130991,"score_spread":0.1930537583257753,"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."}}