{"id":"W2885745529","doi":"10.24908/pceea.v0i0.10575","title":"PREPARING STUDENTS FOR SUCCESS THROUGH IMPLEMENTATION OF A UNIFIED CURRICULUM DESIGN SPINE","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Teamwork; Curriculum; Engineering management; Soft skills; Workforce; Computer science; Engineering; Medical education; Engineering ethics; Knowledge management; Psychology; Pedagogy; Medicine; Management","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.007871317,0.0005528513,0.0005440792,0.001650866,0.001355868,0.00314063,0.001742844,0.0007246165,0.003856103],"category_scores_gemma":[0.01586346,0.0003500321,0.0004201398,0.0008128045,0.0006981189,0.001440296,0.005598968,0.001529393,0.001006041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002631569,"about_ca_system_score_gemma":0.0160862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003424823,"about_ca_topic_score_gemma":0.01043212,"domain_scores_codex":[0.9957129,0.0009388938,0.0003697509,0.0004055572,0.001735386,0.0008376154],"domain_scores_gemma":[0.987798,0.001263648,0.001589834,0.0008436457,0.00368316,0.004821779],"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":[0.0002432241,0.01874712,0.06209921,0.0006117526,0.0000370623,0.0002236341,0.009422004,0.002290037,0.0131579,0.004947287,0.01953972,0.8686811],"study_design_scores_gemma":[0.001713632,0.04060832,0.5286293,0.002381261,0.0003707237,0.001033468,0.03760407,0.03053418,0.06156087,0.01190411,0.2832078,0.0004522608],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9597759,0.0002437289,0.01755387,0.003260811,0.000274231,0.0023809,0.000124049,0.0009714611,0.01541498],"genre_scores_gemma":[0.8395718,0.0003444296,0.1452676,0.0008333682,0.00005661523,0.001883145,0.0003033649,0.00008733111,0.01165226],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.007871317,"threshold_uncertainty_score":0.041628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008350070494939545,"score_gpt":0.2683325563836395,"score_spread":0.2599824858886999,"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."}}