{"id":"W1842614498","doi":"10.24908/pceea.v0i0.4002","title":"IS IT TIME TO SEPARATE APPLIED SCIENCE AND ENGINEERING?","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Science and engineering; Term (time); Computer science; Engineering ethics; Engineering research; Engineering management; Management science; Data science; Engineering; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004898527,0.0001853812,0.0001621031,0.0005127057,0.0001104683,0.00008538839,0.0003647365,0.0001370924,0.0001213764],"category_scores_gemma":[0.0004320126,0.0001880776,0.00003564527,0.00122474,0.00003208912,0.0002117279,0.00003612976,0.0001993098,0.0001043664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001476403,"about_ca_system_score_gemma":0.0003976363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006715261,"about_ca_topic_score_gemma":0.00008732441,"domain_scores_codex":[0.9987189,9.947233e-7,0.0002462982,0.0002212942,0.0003916168,0.0004208747],"domain_scores_gemma":[0.9989094,0.00001861155,0.0000675148,0.0001244036,0.0004022051,0.0004779188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000008288623,0.0001497669,0.006464089,0.002117623,0.0003129765,2.105606e-7,0.0214222,0.003229481,0.2755945,0.01254845,0.6723236,0.005828728],"study_design_scores_gemma":[0.0005191609,0.00006978749,0.408581,0.0006374926,0.0001678463,0.00001898518,0.0005175155,0.08576869,0.09968582,0.000287117,0.4018499,0.001896593],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9051881,0.0002102419,0.0001632421,0.008695021,0.004886718,0.001351011,0.00006865142,0.000816581,0.07862044],"genre_scores_gemma":[0.995136,0.000007365452,0.002369669,0.0004934682,0.0001447061,0.00007996582,0.000002406133,0.00004668875,0.001719765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.402117,"threshold_uncertainty_score":0.766958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007248688916525028,"score_gpt":0.183454591102683,"score_spread":0.176205902186158,"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."}}