{"id":"W3152815268","doi":"10.69645/wivn6255","title":"Negotiating the sweet spot: personal negotiations","year":2021,"lang":"en","type":"article","venue":"˜The œbusiness & 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01495096,0.000423337,0.0004084516,0.001679796,0.009540956,0.01464785,0.001267547,0.0036758,0.03264284],"category_scores_gemma":[0.03972619,0.0005426816,0.00037118,0.001749537,0.01508635,0.016814,0.01006472,0.004952239,0.002958253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002074114,"about_ca_system_score_gemma":0.002918174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001112703,"about_ca_topic_score_gemma":0.001703472,"domain_scores_codex":[0.9871095,0.01027337,0.0001747298,0.0006171034,0.001042085,0.0007831092],"domain_scores_gemma":[0.9857615,0.008678018,0.001098895,0.001723291,0.0008827519,0.001855562],"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":[0.0001476764,0.0001312782,0.001790646,0.0001011335,0.00004483869,0.0005373113,0.07814885,0.001042751,0.0004506197,0.826502,0.02775147,0.06335157],"study_design_scores_gemma":[0.00004536247,0.00005830092,0.001275005,0.0002470047,0.00002634817,0.0004333997,0.05658989,0.00262857,0.000475466,0.7633927,0.1747684,0.00005959482],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.09360262,0.002688077,0.05959477,0.03913349,0.0006699255,0.0001836611,0.0000841474,0.0001666832,0.8038766],"genre_scores_gemma":[0.959502,0.001049952,0.007422142,0.002410742,0.0002221802,0.0001155706,0.00005027524,0.0001105702,0.02911651],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03264284,"threshold_uncertainty_score":0.1092012,"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."}}