{"id":"W4391812224","doi":"10.18260/1-2--33739","title":"Work in Progress: Peer-based Programming in Undergraduate Engineering","year":2024,"lang":"en","type":"article","venue":"","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Chrysler (Canada); Queen's University","funders":"","keywords":"Computer science; Work (physics); Software engineering; Engineering; Mechanical engineering","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":[0.0009610351,0.0001521713,0.0001356782,0.0004648719,0.00003365022,0.0007077355,0.0004345563,0.00006222236,0.000002149839],"category_scores_gemma":[0.00008838983,0.0001391037,0.00005343684,0.001723926,0.00001907302,0.0002918529,0.00009025459,0.0005643292,0.00002938009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000101996,"about_ca_system_score_gemma":0.00007658091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007502333,"about_ca_topic_score_gemma":0.00003926071,"domain_scores_codex":[0.9985057,0.00006527735,0.0002323516,0.0004381841,0.0002865861,0.0004719772],"domain_scores_gemma":[0.9994981,0.0001447714,0.00001899138,0.0002580576,0.00001625482,0.00006382397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002783562,0.00006787849,0.01643312,0.00008763011,0.000005614404,0.0002099369,0.001336798,0.01206008,0.000004850712,0.01593395,0.00007390704,0.9537835],"study_design_scores_gemma":[0.0004302383,0.0001007704,0.01066796,0.001258628,0.000003552935,0.00001226822,0.00007900185,0.7238677,0.00007171395,0.0002114783,0.2627855,0.0005111434],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04353048,0.00158974,0.9328551,0.01776397,0.0006830491,0.000383414,1.074956e-7,0.003023389,0.0001707167],"genre_scores_gemma":[0.7189459,6.847536e-7,0.2807016,0.00002448856,0.00002490055,0.00005150189,0.000001303747,0.00001429848,0.0002352929],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9532723,"threshold_uncertainty_score":0.6824709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01226850161496743,"score_gpt":0.2572678590277765,"score_spread":0.2449993574128091,"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."}}