{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003947859,0.0002507486,0.0002420275,0.0001599307,0.00008686993,0.000108321,0.0009448521,0.00006140892,0.00003540917],"category_scores_gemma":[0.001996258,0.0002263544,0.00003726605,0.0008156259,0.00001600222,0.0006246564,0.0001756945,0.0002326614,0.00003863475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007085302,"about_ca_system_score_gemma":0.00006958779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001735952,"about_ca_topic_score_gemma":0.000002159344,"domain_scores_codex":[0.998256,0.00007908764,0.0002883477,0.0006505256,0.0003792019,0.0003468978],"domain_scores_gemma":[0.9983937,0.0002503154,0.00004451485,0.0009542032,0.0002027071,0.0001545641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00003512285,0.008383641,0.1647659,0.00004182923,0.0001054974,0.0002613194,0.007214788,0.6986004,0.01408102,0.01041207,0.002635461,0.09346299],"study_design_scores_gemma":[0.001786256,0.003403845,0.9541352,0.00002659113,0.00008269789,0.0003306192,0.0001132726,0.01248291,0.009062796,0.01118666,0.004596129,0.002792969],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09627956,0.0000409497,0.8998319,0.0002863059,0.0003508508,0.0003413589,0.000001406083,0.002858011,0.000009674322],"genre_scores_gemma":[0.197524,0.000001299435,0.8018291,0.0001556355,0.000155891,0.00002034317,0.000009255061,0.00002039942,0.0002840743],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7893694,"threshold_uncertainty_score":0.9230464,"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."}}