{"id":"W3152815268","doi":"10.69645/wivn6255","title":"Negotiating the sweet spot: personal negotiations","year":2021,"lang":"en","type":"article","venue":"The business & management collection.","topic":"Conflict Management and Negotiation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Sweet spot; Negotiation; Advertising; Business; Computer science; Political science; Simulation; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008678813,0.0001768921,0.0001423618,0.0001658485,0.004778664,0.000882,0.0004249696,0.00006291525,0.001093486],"category_scores_gemma":[0.0001248949,0.0001355859,0.000114902,0.003943816,0.0001787955,0.000382748,0.0002277062,0.0001701779,0.00014529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002239259,"about_ca_system_score_gemma":0.0001708134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00181315,"about_ca_topic_score_gemma":0.007911821,"domain_scores_codex":[0.9978218,0.0003532969,0.0002899249,0.0003588928,0.0007488388,0.0004272339],"domain_scores_gemma":[0.9986863,0.0002844213,0.0001747371,0.0003644946,0.000435554,0.00005446157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008970623,0.0005961961,0.009039803,0.0001607641,0.001058692,0.00007560433,0.05007064,0.008138813,0.00008790984,0.4063407,0.4472081,0.07713306],"study_design_scores_gemma":[0.0004215711,0.000005658918,0.0835496,0.00002222464,0.0002020888,0.000002490756,0.02135623,0.005215298,0.000003849204,0.001085111,0.8879136,0.0002222104],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03874461,0.001565839,0.0292631,0.1180563,0.008172479,0.003240161,0.00001064466,0.0007752409,0.8001716],"genre_scores_gemma":[0.810123,0.0007377915,0.0001684348,0.001508384,0.0009959504,0.0002171891,0.00003149568,0.00002620747,0.1861916],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7713783,"threshold_uncertainty_score":0.9998196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02117815998058764,"score_gpt":0.2665650723088634,"score_spread":0.2453869123282758,"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."}}