{"id":"W2157129284","doi":"10.1145/1082983.1083000","title":"Human and social factors of software engineering","year":2005,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Social software engineering; Software development; Personal software process; Software Engineering Process Group; Agile software development; Software engineering; Software requirements; Software peer review; Software construction; Computer science; Software development process; Software; Engineering; Engineering 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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003118071,0.000463807,0.0004821194,0.0003556523,0.0001617398,0.0001130413,0.001267906,0.0002452772,0.00001956623],"category_scores_gemma":[0.02685309,0.0004893299,0.0001518501,0.0004365976,0.00004029923,0.001018919,0.0006738669,0.0004440801,0.000006076076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007257822,"about_ca_system_score_gemma":0.00003235496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004156307,"about_ca_topic_score_gemma":0.000002101911,"domain_scores_codex":[0.9980233,0.00002034223,0.0004872731,0.0005315613,0.0003850745,0.0005524256],"domain_scores_gemma":[0.9858411,0.01290722,0.0001769247,0.000816842,0.0001082449,0.0001496712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002034994,0.000467228,0.823432,0.002463435,0.0005983639,0.00007576766,0.009921142,0.02891135,0.02848489,0.0270823,0.002843681,0.07569947],"study_design_scores_gemma":[0.001348675,0.0005342955,0.8602547,0.0005223693,0.0001532451,0.000133402,0.00003914113,0.006808085,0.07841936,0.00022,0.04806575,0.003500988],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5264749,0.0008309853,0.4684023,0.0002362201,0.0002841658,0.0001929148,0.00002033578,0.003556919,0.000001276676],"genre_scores_gemma":[0.6392643,0.00001551144,0.3604483,0.00003402497,0.0001465753,0.00001774005,0.000009429209,0.00005302377,0.00001112318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1127894,"threshold_uncertainty_score":0.9997559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02028920115824682,"score_gpt":0.2537477036018044,"score_spread":0.2334585024435576,"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."}}