{"id":"W2009614528","doi":"10.1007/s10726-005-9004-8","title":"The Role of Emotions in Envisioning Outcomes in Conflict Analysis","year":2005,"lang":"en","type":"article","venue":"Group Decision and Negotiation","topic":"Qualitative Comparative Analysis Research","field":"Social Sciences","cited_by":81,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Set (abstract data type); Conflict resolution; Centrality; Psychology; Conflict analysis; Cognitive psychology; Isomorphism (crystallography); Negative emotion; Social psychology; Computer science; Political science; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.002187776,0.000055597,0.0002030237,0.0005305106,0.0002668261,0.00006404901,0.0001403424,0.00004308746,0.0001314804],"category_scores_gemma":[0.001255538,0.00003984411,0.00007699111,0.001608205,0.0001395766,0.0002282934,0.00003735016,0.0000973833,0.00001761429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007922991,"about_ca_system_score_gemma":0.00002418635,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001133593,"about_ca_topic_score_gemma":0.06150741,"domain_scores_codex":[0.9982257,0.0006731806,0.0003290888,0.0001556758,0.0004601052,0.0001562263],"domain_scores_gemma":[0.9971273,0.002507495,0.0001018297,0.0001200485,0.00009833457,0.00004501212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000308567,0.0001056119,0.759709,6.407973e-7,0.00006629984,2.514502e-7,0.02212597,0.001021469,0.0005232652,0.0589847,0.00006395682,0.157368],"study_design_scores_gemma":[0.0002345741,0.00001472992,0.9550759,0.00000741061,0.00001545161,1.876222e-8,0.0102934,0.01614989,0.00003473743,0.006790132,0.0113353,0.00004845516],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989772,0.0005236859,0.005802207,0.001346736,0.00001364359,0.0001347263,0.000001792393,0.000005300551,0.002399929],"genre_scores_gemma":[0.9987249,0.0005127817,0.0004559804,0.00002621288,0.00001322155,0.000007767126,0.000003811081,0.000002093061,0.0002531852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1953669,"threshold_uncertainty_score":0.9556177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05085757047468956,"score_gpt":0.4357197137833725,"score_spread":0.384862143308683,"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."}}