{"id":"W2145362397","doi":"10.1109/fie.1999.839294","title":"Teaching transmission line transients using computer animation","year":2003,"lang":"en","type":"article","venue":"","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Transmission line; Animation; Computer science; Electric power transmission; Computer animation; Waveform; Line (geometry); Generator (circuit theory); Electronic circuit; Electromagnetics; Electronic engineering; Electrical engineering; Computer graphics (images); Engineering; Telecommunications; Physics; Radar; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005839173,0.0007976153,0.0003706139,0.0004938872,0.0004082496,0.001330429,0.001199601,0.0009341176,0.04915214],"category_scores_gemma":[0.00412512,0.0002282345,0.0003106825,0.0003934366,0.0006394617,0.001406396,0.00127681,0.001726576,0.005492706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005093652,"about_ca_system_score_gemma":0.0004480883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005392702,"about_ca_topic_score_gemma":0.0006645841,"domain_scores_codex":[0.9997167,0.00007996466,0.00001470257,0.00005583141,0.0001033538,0.00002947599],"domain_scores_gemma":[0.9983328,0.001022283,0.00004695281,0.0002394971,0.0002010977,0.0001573037],"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":[0.0003460993,0.002848702,0.001950608,0.0008667274,0.00003140902,0.000638401,0.00271923,0.05448735,0.06720379,0.1018421,0.1102484,0.6568172],"study_design_scores_gemma":[0.0004881553,0.001364386,0.004108066,0.0006436763,0.00005101841,0.0013439,0.001270146,0.2230774,0.08686154,0.1200332,0.5606297,0.0001288484],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1101188,0.0006234974,0.6025999,0.002701882,0.0006052171,0.0007244861,0.0006376536,0.0157474,0.2662412],"genre_scores_gemma":[0.4492736,0.001736629,0.4524859,0.0006773886,0.0002080841,0.001151866,0.001345926,0.001425638,0.09169496],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04915214,"threshold_uncertainty_score":0.1644303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01117498628590505,"score_gpt":0.235949611135085,"score_spread":0.2247746248491799,"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."}}