{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007690216,0.0004188159,0.0004193097,0.0003125447,0.00009549853,0.00007122901,0.001511443,0.0002408465,0.00006189691],"category_scores_gemma":[0.08767892,0.0004351822,0.0002054615,0.0008391841,0.00003930225,0.001680946,0.0005539046,0.0004242869,0.00004553991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001969363,"about_ca_system_score_gemma":0.00008645282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001009604,"about_ca_topic_score_gemma":6.715683e-7,"domain_scores_codex":[0.9977394,0.00004695187,0.0004679871,0.0004333622,0.0005285072,0.000783839],"domain_scores_gemma":[0.974887,0.0228973,0.0002087682,0.001516478,0.0001996365,0.0002907926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002152511,0.0003656732,0.9494468,0.000985746,0.0001729827,0.00001270377,0.002374876,0.004339269,0.003454922,0.01981094,0.002058556,0.01695601],"study_design_scores_gemma":[0.0008317214,0.0003744118,0.9153829,0.0005266672,0.0001367052,0.0002121763,0.0000483119,0.005875302,0.0562945,0.0004227921,0.01743169,0.002462812],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09093625,0.002667119,0.9016178,0.00009313317,0.0009874084,0.000262603,0.000030523,0.00339998,0.000005179643],"genre_scores_gemma":[0.5575773,0.00001352366,0.4421021,0.00001936261,0.0001789736,0.00004639022,0.00001065119,0.00003779438,0.00001392248],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.466641,"threshold_uncertainty_score":0.99981,"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."}}