{"id":"W1947697171","doi":"10.24908/pceea.v0i0.3616","title":"Curriculum Design & Enhancement","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curriculum; Relevance (law); Engineering ethics; Process (computing); Curriculum theory; Problem solver; Emergent curriculum; Curriculum mapping; Field (mathematics); Curriculum development; Engineering management; Mathematics education; Computer science; Engineering; Psychology; Pedagogy; Political science; Software engineering; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003945109,0.0006876689,0.0004260064,0.002830692,0.0006450225,0.002900279,0.001235993,0.0006784794,0.02654649],"category_scores_gemma":[0.01165263,0.0005725376,0.0004902738,0.002113523,0.0003191163,0.002094947,0.001988033,0.0008231425,0.007575094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001777532,"about_ca_system_score_gemma":0.005495486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002103131,"about_ca_topic_score_gemma":0.002649673,"domain_scores_codex":[0.9967843,0.001308738,0.0002599098,0.0003460175,0.0009508492,0.0003501777],"domain_scores_gemma":[0.9932209,0.001254327,0.0005944719,0.0007538319,0.003475819,0.0007006348],"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":[0.0002632162,0.0006613528,0.003281159,0.001124522,0.00002828481,0.0001143632,0.0008526074,0.006263557,0.009507695,0.01881024,0.02733814,0.9317548],"study_design_scores_gemma":[0.000437578,0.001132499,0.01018486,0.0007146052,0.0001606451,0.0003417307,0.00173567,0.04401549,0.03868688,0.01644125,0.88608,0.00006873591],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06220959,0.001137778,0.6960925,0.00348951,0.0009649238,0.009665388,0.002713901,0.01126414,0.2124623],"genre_scores_gemma":[0.1822562,0.0009386407,0.7386349,0.0006575236,0.0001527235,0.003974085,0.002605801,0.00089071,0.06988927],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02654649,"threshold_uncertainty_score":0.08880681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01196499593868273,"score_gpt":0.1858962481062454,"score_spread":0.1739312521675627,"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."}}