{"id":"W2910568053","doi":"10.24908/pceea.v0i0.13073","title":"OBACIS V: The Accreditation Reporting and The CEAB Mock-Ups","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Accreditation; Computer science; Parsing; Data collection; Software engineering; World Wide Web; Database; Programming language; Medical education; Medicine; Statistics; Mathematics","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":[0.001522839,0.00009448058,0.0001041432,0.0001198287,0.0005268088,0.0001975204,0.0006500111,0.00009157964,0.00000510753],"category_scores_gemma":[0.003395292,0.00006084834,0.00004868735,0.0005733864,0.00008504314,0.0003069194,0.00007470583,0.000210507,0.000004555921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005700857,"about_ca_system_score_gemma":0.000704443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001624152,"about_ca_topic_score_gemma":0.001468256,"domain_scores_codex":[0.9989774,0.00001239392,0.00036249,0.0001772899,0.0002698949,0.00020057],"domain_scores_gemma":[0.9979973,0.0001663211,0.0009044188,0.0001811457,0.0006841806,0.00006664792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000002419401,0.00003594011,0.05935698,0.00004573002,0.0001014295,4.625937e-8,0.007345218,0.00005879975,0.0005734945,0.8731984,0.05463964,0.004641873],"study_design_scores_gemma":[0.0005079948,0.00003804071,0.8506807,0.0001587326,0.000084803,0.00003735226,0.002695947,0.02174022,0.004959071,0.04797257,0.07072575,0.0003988201],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6654275,0.0002850528,0.00131631,0.3099408,0.005833064,0.001038233,0.000006822278,0.0002290448,0.01592318],"genre_scores_gemma":[0.9949774,0.000008020584,0.002528991,0.0005710412,0.0002931797,0.00007268602,0.000001342643,0.00000801743,0.001539372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8252259,"threshold_uncertainty_score":0.4064728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006833384245521817,"score_gpt":0.228130291132963,"score_spread":0.2212969068874412,"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."}}