{"id":"W2158641963","doi":"10.1109/aiccsa.2009.5069359","title":"Organizational behavior & software product line engineering: An empirical study","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Knowledge management; Organizational learning; Organizational engineering; Organizational behavior and human resources; Organizational performance; Organizational commitment; Organizational studies; Software product line; Organizational culture; Empirical research; Computer science; Organization development; Process management; Software development; Business; Software; Management","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":[0.004638324,0.0003551536,0.0003228256,0.001983019,0.001506287,0.001764228,0.000965973,0.00103255,0.005546318],"category_scores_gemma":[0.01395759,0.000395368,0.0003335216,0.001826286,0.001367145,0.001602113,0.001272744,0.001752004,0.00185525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001099733,"about_ca_system_score_gemma":0.001486096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003734574,"about_ca_topic_score_gemma":0.005930102,"domain_scores_codex":[0.9974102,0.001432027,0.0001453289,0.000195056,0.0005458561,0.0002715788],"domain_scores_gemma":[0.9728016,0.0159594,0.00416566,0.001414694,0.002784632,0.002874109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001368658,0.01033212,0.9433864,0.0001209021,0.00004941927,0.0003626495,0.01497113,0.0002501648,0.000371432,0.001204881,0.001613951,0.02720023],"study_design_scores_gemma":[0.0000264892,0.0009713796,0.9652844,0.0001439521,0.00002978062,0.0003024367,0.02817307,0.001433434,0.0002196337,0.0003207146,0.003072511,0.00002219372],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973885,0.0000656927,0.0001486683,0.0001814152,0.000003509705,0.00005729726,0.00009225196,0.000003501221,0.002059047],"genre_scores_gemma":[0.9967315,0.0002133996,0.000512579,0.0001368152,0.00001094853,0.000220782,0.0003349205,0.000005922931,0.001833114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005546318,"threshold_uncertainty_score":0.02453011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07249071462715961,"score_gpt":0.353580737531205,"score_spread":0.2810900229040454,"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."}}