{"id":"W2070730061","doi":"10.1007/s10726-007-9083-9","title":"Strategies and language trends in learning success and failure of negotiation","year":2007,"lang":"en","type":"article","venue":"Group Decision and Negotiation","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Université de Montréal","funders":"","keywords":"Negotiation; Computer science; Pragmatics; Compromise; Argumentation theory; Persuasion; Natural language processing; Grammar; Task (project management); Artificial intelligence; Knowledge management; Linguistics; Psychology; Social psychology; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.0008279296,0.0001215053,0.0001829941,0.0004723784,0.00009253155,0.0001964429,0.00009805107,0.0001051537,0.00000867891],"category_scores_gemma":[0.00005142609,0.0001098669,0.00002096006,0.0004315243,0.00002689167,0.001300302,0.00007956877,0.0001110093,0.00000102949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002062041,"about_ca_system_score_gemma":0.000008643284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000212238,"about_ca_topic_score_gemma":0.001051963,"domain_scores_codex":[0.9988188,0.00007533054,0.0003814514,0.0003167518,0.0002474398,0.0001602352],"domain_scores_gemma":[0.9993184,0.0002256818,0.0002046929,0.0001404408,0.00004317052,0.00006760456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005576007,0.00006171819,0.1236597,0.00006112908,0.00000973148,0.000008996831,0.01083478,0.0001762812,0.02250828,0.02870178,0.00005356543,0.8138683],"study_design_scores_gemma":[0.001058016,0.0001168829,0.9513324,0.00007031746,0.000005643208,0.00001513783,0.002532739,0.0427215,0.0009978351,0.0007975594,0.0001964036,0.0001555528],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7236577,0.0004681543,0.2754323,0.00009063656,0.00008260373,0.00008224524,5.816064e-7,0.00002919749,0.0001566516],"genre_scores_gemma":[0.9946982,0.0001048858,0.005088634,0.00002154382,0.00003384857,0.000002265271,0.00001223184,0.000006172888,0.00003217067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8276728,"threshold_uncertainty_score":0.4480242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01100939733111548,"score_gpt":0.2774444336806154,"score_spread":0.2664350363494999,"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."}}