{"id":"W2080368628","doi":"10.1145/1082983.1083116","title":"Cultural patterns in software process mishaps","year":2005,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Exploratory research; Process (computing); Phase (matter); Engineering ethics; Sociology; Software; Grounded theory; Management science; Computer science; Qualitative research; Engineering; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003697559,0.000500735,0.0004030776,0.0003557488,0.00009506848,0.00031535,0.002336637,0.0002388851,0.00004748253],"category_scores_gemma":[0.06233523,0.000500377,0.0001349831,0.0008035798,0.00002194408,0.002171306,0.0004995019,0.0006422361,0.00006704997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001554757,"about_ca_system_score_gemma":0.00006481923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007247531,"about_ca_topic_score_gemma":0.0000208999,"domain_scores_codex":[0.9974591,0.00003234607,0.0005104087,0.0007404641,0.0004670025,0.0007907137],"domain_scores_gemma":[0.9830877,0.01512271,0.0001364956,0.001285978,0.0001500702,0.0002170529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001642656,0.0002378605,0.8380353,0.0005134832,0.00006336627,0.0001633618,0.002822181,0.03821884,0.0003935743,0.000866642,0.001035192,0.1176337],"study_design_scores_gemma":[0.002988992,0.000572886,0.8426843,0.002165903,0.00008469217,0.0007351642,0.0000971432,0.02920582,0.03841984,0.0007930106,0.07572463,0.006527584],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.356507,0.0009412343,0.6350433,0.0009166831,0.0005071062,0.0003391603,0.00001939986,0.005722135,0.000004044475],"genre_scores_gemma":[0.6470178,0.00005025765,0.3523594,0.0001910245,0.000200058,0.00009320138,0.00001612357,0.00005144051,0.000020621],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2905109,"threshold_uncertainty_score":0.9997448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01807406211797343,"score_gpt":0.2733128226829014,"score_spread":0.255238760564928,"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."}}