{"id":"W1889177826","doi":"10.24908/pceea.v0i0.4052","title":"ENGINEERING EDUCATIONAL TECHNOLOGY - WHO NEEDS IT?!","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; McGill University","funders":"","keywords":"Set (abstract data type); Computer science; Teaching and learning center; Teaching method; Mathematics education; Educational technology; Engineering education; Simple (philosophy); Engineering ethics; Engineering; Engineering management; Psychology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002754361,0.0002743724,0.0002308409,0.001130941,0.0001198667,0.00006524791,0.0005187891,0.0002752287,0.0002403669],"category_scores_gemma":[0.0005529014,0.0002942601,0.00009948366,0.001725576,0.00001905992,0.0002596073,0.00003118379,0.0003870156,0.00005660632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002532219,"about_ca_system_score_gemma":0.0006961829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007517595,"about_ca_topic_score_gemma":0.0005537954,"domain_scores_codex":[0.9985669,0.000002703662,0.0004332161,0.0001928145,0.0003162293,0.000488178],"domain_scores_gemma":[0.9988627,0.00003234962,0.0001525331,0.0001779045,0.0004926828,0.0002818461],"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":[0.000003817415,0.0003473325,0.1898101,0.001600786,0.0007998988,3.419058e-7,0.01426136,0.01714526,0.00992432,0.2787967,0.4847233,0.002586721],"study_design_scores_gemma":[0.0006511019,0.0000431535,0.5233542,0.001238476,0.0002096207,0.00005553011,0.002422961,0.02158646,0.0307178,0.001804498,0.4156,0.002316246],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8294026,0.001132909,0.0003489312,0.02382805,0.0205309,0.00173258,0.00007234474,0.001927817,0.1210239],"genre_scores_gemma":[0.9911984,0.00003471193,0.003776302,0.0001667405,0.0002272661,0.0001976232,0.00001044848,0.00008348726,0.004304977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.333544,"threshold_uncertainty_score":0.9999509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005084890203525625,"score_gpt":0.1718768905957322,"score_spread":0.1667920003922066,"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."}}