{"id":"W2107366830","doi":"10.1145/2088883.2088901","title":"Evolution of software engineers' personality profile","year":2012,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Software engineering; Social software engineering; Personal software process; Software; Software development; Software construction; Software peer review; Computer science; Work (physics); Software analytics; Engineering; Mechanical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.001844211,0.0001489085,0.0001441055,0.003227105,0.0003111926,0.001124415,0.0003058999,0.0003271096,0.001503706],"category_scores_gemma":[0.01533813,0.0001140847,0.0001935556,0.002037771,0.0001831359,0.00088891,0.0006768629,0.0003291584,0.0005530458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005457976,"about_ca_system_score_gemma":0.0004571161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002622503,"about_ca_topic_score_gemma":0.002915011,"domain_scores_codex":[0.9989867,0.0002920612,0.00009080119,0.0001671992,0.0003372335,0.0001260724],"domain_scores_gemma":[0.9856903,0.003898619,0.004067667,0.0006959625,0.004016533,0.00163095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009737911,0.00004701739,0.9363253,0.00004500517,0.00003419679,0.0001884872,0.002820432,0.0002358365,0.0009667624,0.0002897444,0.0007006878,0.0582492],"study_design_scores_gemma":[0.000001642123,0.00006671215,0.9964372,0.0000202925,0.000007230925,0.0002370047,0.001253215,0.0003695112,0.0001811026,0.00008240704,0.001337193,0.000006569682],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961649,0.0004420815,0.0004147355,0.000164603,0.00001343157,0.000006842848,0.0002357102,0.00001695114,0.002540829],"genre_scores_gemma":[0.9986143,0.0002312877,0.0002659463,0.00002064968,0.000008181988,0.000005928926,0.000140324,0.000004690712,0.0007084926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003227105,"threshold_uncertainty_score":0.009753227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0177354591475012,"score_gpt":0.2476067547847011,"score_spread":0.2298712956371999,"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."}}