{"id":"W2885922145","doi":"10.24908/pceea.v0i0.10236","title":"SURVEYS FOR SIMULTANEOUS DIRECT AND INDIRECT ASSESSMENT","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Accreditation; Variety (cybernetics); Indirect costs; Direct cost; Direct imaging; Computer science; Risk analysis (engineering); Engineering; Business; Political science; Accounting; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.1248622,0.001263007,0.001490288,0.006185215,0.001437536,0.004952366,0.001697029,0.001823446,0.0173356],"category_scores_gemma":[0.2306244,0.001279922,0.001209785,0.007465762,0.002272276,0.006772173,0.008794682,0.002914347,0.003319118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002691032,"about_ca_system_score_gemma":0.006963822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004406466,"about_ca_topic_score_gemma":0.006915926,"domain_scores_codex":[0.7113701,0.2481384,0.007581418,0.0057359,0.02514173,0.002032573],"domain_scores_gemma":[0.6197749,0.2497028,0.02092293,0.05879632,0.04806279,0.00274037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001368056,0.0008265029,0.07097936,0.00241938,0.0008792005,0.0001438946,0.003725998,0.007428715,0.003945963,0.0998479,0.01940368,0.7890313],"study_design_scores_gemma":[0.001415553,0.005651738,0.269242,0.006676299,0.001037353,0.001422451,0.01067452,0.1395503,0.01996519,0.2571323,0.2863127,0.0009196052],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04881373,0.002194801,0.8814161,0.002611764,0.0007087379,0.006022939,0.002805672,0.002115735,0.05331054],"genre_scores_gemma":[0.3120132,0.0009822032,0.6689494,0.0008755125,0.0002774512,0.009983759,0.001327121,0.0002117666,0.005379607],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1248622,"threshold_uncertainty_score":0.6603423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004509591000638284,"score_gpt":0.2098545391641652,"score_spread":0.2053449481635269,"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."}}