{"id":"W2613535094","doi":"10.18260/1-2--22267","title":"Making Mathematics Relevant to Engineering Students","year":2020,"lang":"en","type":"article","venue":"","topic":"Engineering Education and Pedagogy","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Adventure; Mathematical proof; Mathematics education; Curriculum; Engineering education; Computer science; Mathematics; Engineering; Pedagogy; Mechanical engineering; Psychology; Artificial intelligence; Geometry","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":[0.00004176626,0.0001102299,0.0001101423,0.00005141742,0.0000114083,0.00004005877,0.0001768664,0.00003157658,0.0002023535],"category_scores_gemma":[0.00005542517,0.0001144189,0.0000259662,0.0001759128,0.000001589913,0.00004030685,0.00003231256,0.00009641554,0.000519832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002869539,"about_ca_system_score_gemma":0.000004936365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.949413e-7,"about_ca_topic_score_gemma":5.104255e-7,"domain_scores_codex":[0.999443,0.000001589599,0.0001533052,0.00009481192,0.0001362626,0.0001710396],"domain_scores_gemma":[0.9996898,0.00002550707,0.000005746811,0.0001170383,0.00001280385,0.0001490915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002117949,0.00003526168,0.0006428843,0.0005450154,0.00007594488,0.000009789896,0.008757601,0.9408087,0.02111646,0.005016251,0.02101348,0.001976486],"study_design_scores_gemma":[0.0003368151,0.00006655229,0.004040398,0.0001406764,0.00002387709,0.00001393455,0.0006281708,0.7119058,0.007857891,0.00003168162,0.2741348,0.0008193382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3291591,0.0001150532,0.6510586,0.001852812,0.001141206,0.0003433791,0.00000514714,0.003240044,0.01308466],"genre_scores_gemma":[0.954858,0.000007773288,0.04416998,0.0005390627,0.0001656732,0.00001492664,0.000001449444,0.00004954099,0.0001935731],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6256989,"threshold_uncertainty_score":0.6681562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05311742673348614,"score_gpt":0.3206139273863788,"score_spread":0.2674965006528927,"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."}}