{"id":"W2144759421","doi":"10.1109/cefc-06.2006.1633010","title":"A CAD Tool Enhanced Framework for Teaching Electromagnetics Topics: A Recipe for Classroom Success","year":2006,"lang":"en","type":"article","venue":"","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"CAD; Computer science; Electromagnetics; Computer aided instruction; Recipe; Mathematics education; Multimedia; Engineering drawing; Engineering; Engineering physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001231978,0.000212488,0.0002066751,0.00006762666,0.00009947742,0.00006673645,0.0001775423,0.0001679671,0.00002839929],"category_scores_gemma":[0.0001223166,0.0002313212,0.0001039498,0.0000769741,0.00001437473,0.0001082838,0.00001868844,0.0002969515,0.000005764751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001459518,"about_ca_system_score_gemma":0.0000092004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001714784,"about_ca_topic_score_gemma":0.00001286105,"domain_scores_codex":[0.9989121,0.000009109345,0.0002764513,0.0002204393,0.0001045656,0.0004773141],"domain_scores_gemma":[0.9994158,0.0002716272,0.00002642432,0.000217846,0.00002897958,0.00003933291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004710595,0.00007855884,0.0002249134,0.0004383763,0.00008768228,0.000001872395,0.0006465246,0.2138644,0.5621893,0.1986145,0.004929397,0.01887735],"study_design_scores_gemma":[0.001119696,0.0004934223,0.0003160759,0.0001497553,0.00004187178,0.000006445317,0.0001704375,0.3553508,0.5317534,0.013399,0.09621592,0.0009831747],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1920224,0.000291444,0.8000898,0.00005857765,0.0004405033,0.0004985862,0.000006758547,0.0007121477,0.005879874],"genre_scores_gemma":[0.573394,0.000005222649,0.4243101,0.00003068615,0.0005492553,0.0003126108,0.00002103933,0.00007386626,0.001303245],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3813716,"threshold_uncertainty_score":0.9433005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00465339795374729,"score_gpt":0.241523669659054,"score_spread":0.2368702717053067,"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."}}