{"id":"W2402365003","doi":"10.1145/2901739.2903505","title":"The emotional side of software developers in JIRA","year":2016,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Politeness; Software; Affect (linguistics); Tracking (education); Data science; Software engineering; Human–computer interaction; Programming language; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00457223,0.0002741571,0.0002719544,0.001026129,0.0008486455,0.002524678,0.0002633827,0.000686687,0.001484868],"category_scores_gemma":[0.02822853,0.0003169076,0.0002036133,0.000523896,0.001248752,0.001857617,0.001850421,0.001141007,0.000453338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000526062,"about_ca_system_score_gemma":0.0002401757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006838327,"about_ca_topic_score_gemma":0.001117089,"domain_scores_codex":[0.9958554,0.002470193,0.0001590216,0.0003730869,0.0008878263,0.0002543747],"domain_scores_gemma":[0.9693863,0.02039955,0.005472422,0.001080618,0.002109764,0.001551239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001215359,0.0003064692,0.6287395,0.0003466675,0.0001591801,0.001002388,0.1937681,0.0007471138,0.03294432,0.002231975,0.004729814,0.133809],"study_design_scores_gemma":[0.00002664531,0.0004134188,0.9174876,0.000122951,0.00009498707,0.0006364945,0.05492668,0.005559379,0.004098682,0.003815445,0.01270151,0.0001162814],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920323,0.000219944,0.00252412,0.0005104387,0.00003069452,0.00001173711,0.00004568405,0.00006674069,0.0045583],"genre_scores_gemma":[0.9980076,0.00008057529,0.0008056115,0.0001439355,0.00002661905,0.00001164308,0.00005059715,0.00002992232,0.0008434818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9991513,"threshold_uncertainty_score":0.02418053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01660011322032212,"score_gpt":0.2487457158679789,"score_spread":0.2321456026476568,"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."}}