{"id":"W2167550732","doi":"10.1109/re.2009.51","title":"Augmenting Emotional Requirements with Emotion Markers and Emotion Prototypes","year":2009,"lang":"en","type":"article","venue":"","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Negative emotion; Production (economics); Process (computing); Psychology; Emotion classification; Computer science; Cognitive psychology; Social psychology","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":[0.0002885176,0.0001396288,0.00009862539,0.0001768884,0.0002292656,0.0002453147,0.0000647922,0.00003829673,0.0002546992],"category_scores_gemma":[0.00003008471,0.0001136046,0.00001669618,0.0003126752,0.0000226025,0.001720107,0.00003071528,0.00005322537,0.00006027702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002796753,"about_ca_system_score_gemma":0.00001362417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001470362,"about_ca_topic_score_gemma":0.000005452585,"domain_scores_codex":[0.999072,0.000006488231,0.0001831796,0.0002776288,0.0002650262,0.0001956443],"domain_scores_gemma":[0.9996368,0.00000359985,0.0001304136,0.00009308812,0.0001259856,0.00001015522],"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":[0.0009273137,0.0005984142,0.4206778,0.0005518338,0.0001686084,0.00001619291,0.0003506885,0.0002567034,0.006320618,0.1007734,0.01565593,0.4537025],"study_design_scores_gemma":[0.00183353,0.00006942704,0.9757314,0.0002178215,0.00006373849,0.000007536355,0.0003222061,0.006042962,0.0004540028,0.007212081,0.007533515,0.0005117726],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9249622,0.00001901684,0.00717543,0.003222569,0.0001734786,0.0009190881,2.72791e-7,0.0002908351,0.06323718],"genre_scores_gemma":[0.9952706,0.000004668554,0.001919495,0.001003552,0.0003863081,0.00001199564,0.00007125131,0.00001163097,0.001320494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5550536,"threshold_uncertainty_score":0.4632662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01220222770454128,"score_gpt":0.2059641458102929,"score_spread":0.1937619181057517,"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."}}