{"id":"W1974516241","doi":"10.1016/j.jesp.2012.12.015","title":"The consequences of faking anger in negotiations","year":2013,"lang":"en","type":"article","venue":"Journal of Experimental Social Psychology","topic":"Conflict Management and Negotiation","field":"Social Sciences","cited_by":193,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; University of Toronto","funders":"","keywords":"Anger; Psychology; Negotiation; Social psychology; Perception; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003664001,0.0003786536,0.0004119017,0.0007677634,0.001634613,0.002997933,0.0004030047,0.002036401,0.007133732],"category_scores_gemma":[0.04442522,0.0005251582,0.0002854306,0.0003638663,0.001786316,0.001583343,0.001218681,0.002501674,0.00053438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005464791,"about_ca_system_score_gemma":0.000407586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006592351,"about_ca_topic_score_gemma":0.0006549247,"domain_scores_codex":[0.9953272,0.003027025,0.0002040554,0.0001980875,0.0008308369,0.0004127531],"domain_scores_gemma":[0.9587623,0.02816008,0.006612176,0.003588853,0.001283517,0.001593018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03172192,0.007861417,0.5176506,0.0008179648,0.0008587978,0.006462686,0.04179541,0.01010597,0.09388032,0.09892621,0.00720046,0.1827182],"study_design_scores_gemma":[0.0009709966,0.003052569,0.8758846,0.0002322035,0.0004609501,0.005432182,0.01786397,0.02073681,0.01083326,0.05934627,0.004902095,0.0002840118],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796459,0.0001814259,0.0006449929,0.0007301786,0.00006561818,0.0000234395,0.00003321374,0.00001226892,0.01866291],"genre_scores_gemma":[0.9992477,0.00005367933,0.0001544589,0.00005731036,0.00002124773,0.000009084253,0.00001114987,0.000007390716,0.0004381089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007133732,"threshold_uncertainty_score":0.02386469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05542188230290322,"score_gpt":0.4199467660872307,"score_spread":0.3645248837843275,"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."}}