{"id":"W2071308215","doi":"10.4018/ijissc.2014070106","title":"Personality Profiles of Software Engineers and Their Software Quality Preferences","year":2014,"lang":"en","type":"article","venue":"International Journal of Information Systems and Social Change","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Personality; Quality (philosophy); Software quality; Software; Computer science; Software engineering; Software development; Psychology; Social psychology; Operating system","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":[0.0009848897,0.00008051174,0.0001805548,0.0001336032,0.0000481759,0.0001715078,0.0002906467,0.00006153212,0.000001756325],"category_scores_gemma":[0.0002631104,0.00006083286,0.00004690333,0.00005608494,0.0000288652,0.001933171,0.00007041706,0.00009993008,3.472359e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002333582,"about_ca_system_score_gemma":0.00002367486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001453464,"about_ca_topic_score_gemma":0.000001849855,"domain_scores_codex":[0.9990815,0.00006700167,0.0004201749,0.00005027527,0.0003134999,0.00006756051],"domain_scores_gemma":[0.998513,0.0002524884,0.0006148382,0.00005372321,0.000529982,0.00003595302],"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":[0.0001086149,0.0000805322,0.04058985,0.001269193,0.0004772359,0.000002254857,0.1666326,0.0001069607,0.00006779246,0.1845881,0.0009857194,0.6050911],"study_design_scores_gemma":[0.004537637,0.001622958,0.691958,0.002048212,0.00008304745,0.0008066692,0.0178189,0.03329349,0.001738433,0.01643288,0.2277119,0.00194791],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1512787,0.000310558,0.8469734,0.000496992,0.0006933779,0.0001010061,0.00003605481,0.00005831009,0.00005154084],"genre_scores_gemma":[0.9878834,0.00007277921,0.01169542,0.0000851049,0.0002466992,0.000006808787,0.000004779988,0.00000232203,0.00000269794],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8366047,"threshold_uncertainty_score":0.2480692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04752712852989247,"score_gpt":0.2939128979284039,"score_spread":0.2463857693985115,"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."}}