{"id":"W2075343787","doi":"10.1007/s11299-006-0011-5","title":"Emotional consensus in group decision making","year":2006,"lang":"en","type":"article","venue":"Mind & Society","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Group decision-making; Group (periodic table); Computer science; Psychology; Philosophy of science; Simple (philosophy); Social decision making; Management science; Artificial intelligence; Cognitive psychology; Social psychology; Epistemology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003982115,0.00007295117,0.00007670687,0.00003446667,0.0001260688,0.00009377774,0.0002707783,0.00004179537,0.00002589742],"category_scores_gemma":[0.00002495882,0.00006932606,0.00009148047,0.0004474468,0.00006568018,0.0001685932,0.0001549236,0.00009594506,0.00004432487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006202912,"about_ca_system_score_gemma":0.00004460333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003309855,"about_ca_topic_score_gemma":0.00008203233,"domain_scores_codex":[0.9990323,0.00002057409,0.0001538183,0.0003002439,0.0002554794,0.0002375654],"domain_scores_gemma":[0.9995834,0.0001671243,0.00004001734,0.000140083,0.00004602146,0.00002335998],"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":[0.000008393879,0.000321162,0.04574034,0.00001646954,0.00001172484,0.00008458788,0.004887222,0.0004570874,0.008561258,0.0319096,0.02636293,0.8816392],"study_design_scores_gemma":[0.001097133,0.00005312272,0.7916449,0.0002671944,0.000004287169,0.00005898494,0.0009176211,0.1339213,0.0005320252,0.057337,0.01367677,0.0004896909],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.614194,0.0000847118,0.3818381,0.000404838,0.0001983527,0.00006927769,0.000001550114,0.00002534623,0.003183883],"genre_scores_gemma":[0.8974287,0.000002373746,0.1020629,0.0003608819,0.00006677763,0.000002821464,0.000001238336,0.000002102868,0.00007224867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8811495,"threshold_uncertainty_score":0.2827035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01811597230304724,"score_gpt":0.2672525376538508,"score_spread":0.2491365653508035,"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."}}