{"id":"W2346790846","doi":"10.1145/2910925.2910942","title":"Impact of Software Usage on Fundamental Engineering Courses","year":2016,"lang":"en","type":"article","venue":"","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Curriculum; Computer science; Software engineering; Software; Bridging (networking); Engineering education; Engineering management; Engineering; 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":[0.005435796,0.0005989319,0.0004971927,0.002889995,0.0004870839,0.002839343,0.001348262,0.0007087985,0.0109161],"category_scores_gemma":[0.05799653,0.0002906251,0.0008895513,0.002548768,0.0008281964,0.001722258,0.002425553,0.001819193,0.002307076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001284307,"about_ca_system_score_gemma":0.001430956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001634998,"about_ca_topic_score_gemma":0.00153868,"domain_scores_codex":[0.9854977,0.004751464,0.0009960252,0.001246469,0.006580424,0.0009279438],"domain_scores_gemma":[0.9045288,0.05943284,0.008855543,0.005250895,0.01363487,0.008297117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002233415,0.003534765,0.3374849,0.0009058224,0.000215789,0.001056418,0.006272827,0.003162296,0.01426636,0.003425459,0.007809099,0.6196328],"study_design_scores_gemma":[0.00008970135,0.005331595,0.9233959,0.0007008754,0.000227142,0.001514851,0.006416376,0.003880074,0.011379,0.002430406,0.04452771,0.0001063975],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811143,0.001224822,0.001340015,0.0008616761,0.0001290275,0.00004309319,0.000307813,0.000298443,0.01468085],"genre_scores_gemma":[0.9903488,0.0009262657,0.001073306,0.0002420127,0.0001049498,0.00004383996,0.0005080059,0.0002553452,0.006497445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0109161,"threshold_uncertainty_score":0.03651792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006954169724430594,"score_gpt":0.2389202523394769,"score_spread":0.2319660826150464,"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."}}