{"id":"W1977857017","doi":"10.1111/j.1571-9979.2008.00187.x","title":"Mega-Simulations in Negotiation Teaching: Extraordinary Investments with Extraordinary Benefits","year":2008,"lang":"en","type":"article","venue":"Negotiation Journal","topic":"Innovative Teaching Methodologies in Social Sciences","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Negotiation; Sophistication; Experiential learning; Diplomacy; International business; Engineering ethics; Public relations; Political science; Knowledge management; Computer science; Sociology; Engineering; Law; Social science","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":[0.00424473,0.0004148617,0.0002556913,0.0003920992,0.001283621,0.004069197,0.001496169,0.001316437,0.01512986],"category_scores_gemma":[0.01197501,0.0003191665,0.0002910513,0.000384409,0.001879405,0.003805651,0.00803089,0.001866954,0.001799621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001147987,"about_ca_system_score_gemma":0.001309177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002635005,"about_ca_topic_score_gemma":0.0008628507,"domain_scores_codex":[0.9957719,0.003190013,0.00006697841,0.0001433794,0.000569882,0.0002577486],"domain_scores_gemma":[0.9918191,0.005343379,0.0003347285,0.0007464915,0.000356824,0.001399421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006915249,0.001703727,0.006109799,0.000611144,0.00004760172,0.0006886174,0.01591598,0.02026512,0.006754088,0.4814154,0.02802712,0.4377699],"study_design_scores_gemma":[0.0002915718,0.001316728,0.005763487,0.001362998,0.0000711039,0.001474124,0.02028432,0.06004461,0.008544724,0.3483807,0.5523416,0.0001240157],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3707514,0.003646499,0.2393107,0.0320691,0.001028511,0.0003763163,0.00005452061,0.0008422237,0.3519209],"genre_scores_gemma":[0.9096708,0.001204304,0.07810288,0.0007944112,0.0001497626,0.0002238143,0.00003459213,0.00009585284,0.009723741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01512986,"threshold_uncertainty_score":0.05061442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1466615670446245,"score_gpt":0.3859594520714634,"score_spread":0.239297885026839,"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."}}