{"id":"W2144008554","doi":"10.24908/pceea.v0i0.3599","title":"INVESTIGATION OF LANGUAGE USED IN ENGINEERING ASSESSMENT","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Linguistics; Computer science; Philosophy","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":[0.0004773568,0.00009246536,0.0001210624,0.0004303086,0.00003939571,0.00002538945,0.0005152575,0.0001104782,0.000008545931],"category_scores_gemma":[0.0002919157,0.00009546983,0.00004135962,0.0007475049,0.00001212222,0.0003194094,0.00003928228,0.0001907169,0.000001425912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001124708,"about_ca_system_score_gemma":0.0008459581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004194203,"about_ca_topic_score_gemma":0.00151512,"domain_scores_codex":[0.9991744,0.000005750147,0.0002667962,0.0001484307,0.0002225219,0.0001821144],"domain_scores_gemma":[0.9992366,0.00004035326,0.0002798738,0.0001260688,0.0002359183,0.00008111716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[3.491419e-7,0.00005101225,0.7084353,0.00013797,0.00003336535,8.194058e-8,0.005972022,0.0001871971,0.01418831,0.2698342,0.0008207729,0.0003393972],"study_design_scores_gemma":[0.0001102876,0.00001324125,0.9609044,0.0001387699,0.000008851209,0.000001257239,0.0004234185,0.004970437,0.03186973,0.001199559,0.00022426,0.0001358308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937658,0.00003815468,0.0005713918,0.002812496,0.0007954888,0.0002404459,0.000003672125,0.00006698678,0.001705619],"genre_scores_gemma":[0.9788854,0.000002120172,0.0208079,0.00005930784,0.00002633956,0.00004624951,0.000002285444,0.000008757022,0.0001616427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2686346,"threshold_uncertainty_score":0.6340408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01196805357285246,"score_gpt":0.2220615425605916,"score_spread":0.2100934889877391,"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."}}