{"id":"W2995892549","doi":"10.1109/tse.2019.2960357","title":"Effects of Personality Traits on Pull Request Acceptance","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Software Engineering","topic":"Personality Traits and Psychology","field":"Psychology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Big Five personality traits; Personality; Human–computer interaction; Software engineering; Psychology; Social psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004965743,0.0004406685,0.0002529525,0.0009128994,0.0004911588,0.001655583,0.000282362,0.0004043306,0.002780659],"category_scores_gemma":[0.04399832,0.0002234671,0.0005512483,0.0006507781,0.000430057,0.0009072829,0.0009828181,0.000884388,0.0007849191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004022721,"about_ca_system_score_gemma":0.0003720923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002075384,"about_ca_topic_score_gemma":0.002270898,"domain_scores_codex":[0.9955682,0.001906221,0.0003972027,0.0004094302,0.001331705,0.000387229],"domain_scores_gemma":[0.9157206,0.04658848,0.02108012,0.004613798,0.006726821,0.005270196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001466105,0.0001307334,0.9834312,0.00002657482,0.00005657174,0.0001121862,0.00124938,0.000170533,0.0006497739,0.00004715414,0.0002211154,0.01375818],"study_design_scores_gemma":[0.000003587434,0.0000923946,0.9977568,0.000007358381,0.00001438321,0.00007637795,0.0007437463,0.0007354519,0.0002372472,0.00005546767,0.0002677836,0.000009409915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997326,0.0000633459,0.0009146767,0.0001169054,0.00001104998,0.00002303651,0.00009917886,0.00004067075,0.00140508],"genre_scores_gemma":[0.9988052,0.0000248072,0.0003833356,0.00002212633,0.000008316388,0.00001750043,0.00009104046,0.00001359542,0.0006341545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004965743,"threshold_uncertainty_score":0.02626163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01292306648982887,"score_gpt":0.2679989198948118,"score_spread":0.255075853404983,"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."}}