{"id":"W1499656258","doi":"10.1109/ithet.2004.1358194","title":"Cognitive aspects in a project-based course in software engineering","year":2004,"lang":"en","type":"article","venue":"","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Artifact (error); Computer science; Agile software development; Process (computing); Context (archaeology); Cognition; Software engineering; Software; Software development process; Mental model; Software development; Human–computer interaction; Artificial intelligence; Cognitive science; Psychology; Programming language","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":[0.005111529,0.0004750014,0.0002821252,0.001201599,0.0009621888,0.003092891,0.0005267587,0.0007309971,0.0009429056],"category_scores_gemma":[0.02193893,0.0002386744,0.0004591836,0.0005797363,0.001181315,0.001352524,0.001980278,0.00124006,0.0001459512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001279269,"about_ca_system_score_gemma":0.001041842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001441933,"about_ca_topic_score_gemma":0.002778134,"domain_scores_codex":[0.9959564,0.00202127,0.0001763768,0.0003123765,0.001086672,0.0004467731],"domain_scores_gemma":[0.9813514,0.011041,0.002613183,0.0008517249,0.001674527,0.00246801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001956589,0.005310908,0.4735725,0.0005554768,0.0002260594,0.00145526,0.2036038,0.005362615,0.02795739,0.008129244,0.001142858,0.2707273],"study_design_scores_gemma":[0.000100571,0.003910276,0.8337998,0.0001690495,0.0001275227,0.001066717,0.1208621,0.01415607,0.006323511,0.01017663,0.009079019,0.0002287335],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972108,0.0000338855,0.001634572,0.00004384813,0.000002703481,0.00002148765,0.000004555071,0.000007568987,0.001040686],"genre_scores_gemma":[0.9980952,0.00003727845,0.001414742,0.00001909343,0.000003477443,0.00002138727,0.00002051784,0.000003499033,0.0003847762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005111529,"threshold_uncertainty_score":0.02703267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01640184837450242,"score_gpt":0.2772941153528456,"score_spread":0.2608922669783432,"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."}}