{"id":"W1847754715","doi":"10.24908/pceea.v0i0.5853","title":"THEORY OF TECHNICAL SYSTEMS – LEARNING TOOL FOR ENGINEERING EDUCATION","year":2015,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Mechatronics Education and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Transformation (genetics); Computer science; Operator (biology); Systems theory; Systems engineering; Engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0008781646,0.0001744134,0.0002194307,0.0003425964,0.00008604558,0.00007444897,0.0003299786,0.0001943458,0.000007859678],"category_scores_gemma":[0.001743078,0.0001874291,0.0001024122,0.0005518243,0.00001223544,0.000184134,0.00001708139,0.0002554482,0.000005639822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002343738,"about_ca_system_score_gemma":0.001304051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003651489,"about_ca_topic_score_gemma":0.0001238471,"domain_scores_codex":[0.9987984,0.000007124022,0.000451755,0.0001687187,0.0002785577,0.0002953926],"domain_scores_gemma":[0.9983068,0.0001043192,0.0002685632,0.0001512455,0.0009375502,0.0002315343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007473282,0.0002021055,0.01068586,0.002024747,0.0002160584,1.180434e-8,0.002029216,0.135745,0.02915205,0.7183074,0.09860698,0.00302301],"study_design_scores_gemma":[0.001043889,0.0001074994,0.02517538,0.001152327,0.0004082615,0.00002212362,0.0044311,0.1681536,0.01936215,0.003724738,0.774776,0.00164294],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9038957,0.004241428,0.01964832,0.005696374,0.02230955,0.00772228,0.0002328579,0.00195467,0.03429885],"genre_scores_gemma":[0.9943923,0.00001432636,0.002863247,0.0000333115,0.0002819441,0.0005386,0.0000288207,0.00006247494,0.001784946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7145827,"threshold_uncertainty_score":0.7643139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008267443113015732,"score_gpt":0.2089404806004693,"score_spread":0.2006730374874536,"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."}}