{"id":"W2115089173","doi":"10.1109/cseet.2005.30","title":"Software Engineering Education From Indian Perspective","year":2005,"lang":"en","type":"article","venue":"","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Social software engineering; Artifact (error); Software development; Personal software process; Software Engineering Process Group; Software peer review; Software deployment; Software; Software engineering; Software construction; Engineering management; Perspective (graphical); Software analytics; Engineering; Computer science; Artificial intelligence; Operating system","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":[0.0005953432,0.0002737692,0.0002360235,0.002120364,0.003425216,0.005564592,0.0005646755,0.0009183376,0.008162578],"category_scores_gemma":[0.001536606,0.0001559922,0.0002470865,0.003157758,0.002157251,0.002187114,0.00214402,0.003105973,0.001550859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004187074,"about_ca_system_score_gemma":0.009773473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01353124,"about_ca_topic_score_gemma":0.02787311,"domain_scores_codex":[0.9989543,0.0001924609,0.00005589694,0.00007154252,0.0004378655,0.0002879959],"domain_scores_gemma":[0.9982944,0.0003609646,0.0001169248,0.00006851184,0.0005571007,0.0006020639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004905252,0.0004016675,0.005920674,0.0007343521,0.00002070509,0.00126308,0.01299876,0.0008918295,0.00258033,0.5356112,0.08229936,0.3572291],"study_design_scores_gemma":[0.00001109176,0.0001208334,0.01178007,0.0008915154,0.00002931009,0.001416326,0.01093551,0.0006923071,0.0009277259,0.05089679,0.922258,0.00004053914],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0500094,0.04783382,0.004378141,0.1461105,0.001383136,0.00003180324,0.0001445158,0.0003141742,0.7497946],"genre_scores_gemma":[0.7601857,0.1038854,0.005427017,0.02087564,0.001672094,0.00004765379,0.0002230065,0.0001037297,0.1075798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01353124,"threshold_uncertainty_score":0.03037953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00583388960939344,"score_gpt":0.2344718014606515,"score_spread":0.2286379118512581,"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."}}