{"id":"W3209488215","doi":"10.24908/pceea.vi0.14850","title":"WHAT IS AN ENGINEER: STUDY DESCRIPTION AND CODEBOOOK DEVELOPMENT","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Alberta; École de Technologie Supérieure","funders":"University of Manitoba","keywords":"Normative; Engineering education; Complementarity (molecular biology); Lexicon; Perspective (graphical); Identity (music); Similarity (geometry); Engineering ethics; Computer science; Mathematics education; Psychology; Engineering; Epistemology; Engineering management; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003194281,0.000214951,0.0001888287,0.000250437,0.0001457124,0.0003439691,0.000191964,0.0001317998,0.00004602725],"category_scores_gemma":[0.0001439165,0.0002317167,0.00004100286,0.0005093258,0.000007780443,0.0006524935,0.00002501191,0.0002208888,0.000009102618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001811204,"about_ca_system_score_gemma":0.0006457531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002992113,"about_ca_topic_score_gemma":0.002489582,"domain_scores_codex":[0.9987589,0.000006445148,0.0003513455,0.000238937,0.0003353087,0.0003091228],"domain_scores_gemma":[0.9989238,0.0000180986,0.00009201747,0.000135941,0.0005356085,0.0002945209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009110501,0.002597159,0.5171065,0.0037911,0.002344192,0.000003500862,0.2012835,0.034442,0.04225624,0.01134326,0.1346786,0.05014483],"study_design_scores_gemma":[0.0007322612,0.00004987273,0.7685863,0.0006178572,0.0001532709,0.00003254551,0.01643438,0.01838491,0.03228135,0.0001169467,0.1612362,0.001374012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936114,0.0006160556,0.00005483809,0.0008426087,0.003591924,0.0003762807,0.000005227982,0.0002081688,0.000693493],"genre_scores_gemma":[0.9944075,0.00008984038,0.002603152,0.0001838879,0.0001111927,0.0001191141,0.00001649984,0.00005344255,0.00241539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2514798,"threshold_uncertainty_score":0.9449131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008304006521066642,"score_gpt":0.1978154488943111,"score_spread":0.1895114423732445,"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."}}