{"id":"W2398563542","doi":"10.18260/1-2--20028","title":"Adding Flexibility and Hands-On Experiences while Minimizing Sequential Gaps in the ME Curriculum","year":2020,"lang":"en","type":"article","venue":"","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flexibility (engineering); Curriculum; Class (philosophy); Process (computing); Quarter (Canadian coin); Computer science; Mathematics education; Engine department; Engineering design process; Engineering management; Engineering; Pedagogy; Mechanical engineering; Mathematics; Psychology; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005103921,0.001099518,0.0005375145,0.001317765,0.001364419,0.005566361,0.002491234,0.001154587,0.01688435],"category_scores_gemma":[0.01606942,0.00048641,0.0005723141,0.0005063626,0.001191327,0.004565301,0.01369019,0.002178141,0.002045252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001311869,"about_ca_system_score_gemma":0.002658292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000348383,"about_ca_topic_score_gemma":0.0007737103,"domain_scores_codex":[0.9930847,0.002843756,0.00036674,0.0008251073,0.001490692,0.001389044],"domain_scores_gemma":[0.9863567,0.004592319,0.001068371,0.001992929,0.001131325,0.004858275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008574657,0.00867846,0.01652747,0.001072188,0.00005924796,0.0006606743,0.0278116,0.005482928,0.03996356,0.01661471,0.01549998,0.8667716],"study_design_scores_gemma":[0.001078736,0.01791952,0.1369958,0.003817879,0.0004057719,0.003685757,0.100792,0.02035097,0.06428383,0.07275359,0.5770861,0.0008300577],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8039291,0.0005249752,0.1134992,0.003755874,0.0003500711,0.000916565,0.00008816592,0.001493264,0.07544278],"genre_scores_gemma":[0.8764136,0.0003268448,0.1050534,0.0009917337,0.0001451876,0.0008008627,0.0001605116,0.0001804802,0.01592728],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01688435,"threshold_uncertainty_score":0.05648381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02565589762971589,"score_gpt":0.2503026465673909,"score_spread":0.2246467489376751,"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."}}