{"id":"W2164521028","doi":"10.5539/hes.v2n4p68","title":"Using Potential Performance Theory to Assess How to Increase Student Consistency in Taking Exams","year":2012,"lang":"en","type":"article","venue":"Higher Education Studies","topic":"Evaluation of Teaching Practices","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Consistency (knowledge bases); Test (biology); Mathematics education; Psychology; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02877395,0.00101591,0.0007611815,0.004339614,0.000719219,0.002407233,0.001388557,0.00102003,0.001834661],"category_scores_gemma":[0.1425219,0.0003982402,0.001428017,0.002498732,0.00118841,0.003054761,0.002060446,0.001329037,0.0006315979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001575931,"about_ca_system_score_gemma":0.001210641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009625463,"about_ca_topic_score_gemma":0.0009473916,"domain_scores_codex":[0.970027,0.01533107,0.002346537,0.001941494,0.009710056,0.0006438922],"domain_scores_gemma":[0.8435885,0.1106949,0.01974471,0.009437409,0.01391071,0.002623693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009244052,0.004331738,0.654724,0.0005836222,0.0008553746,0.0001262424,0.004518566,0.01220497,0.004004958,0.004214604,0.002512087,0.3109994],"study_design_scores_gemma":[0.0003343474,0.01411437,0.9045104,0.0002937096,0.0003139077,0.0002690767,0.002613187,0.05406149,0.009460284,0.00951552,0.004320681,0.0001929695],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9121643,0.000299795,0.06148514,0.000559502,0.00008495351,0.001507647,0.000296341,0.000641318,0.02296097],"genre_scores_gemma":[0.95941,0.0001111013,0.03777627,0.00007843599,0.00002046303,0.001104924,0.0002254154,0.00004194422,0.001231473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02877395,"threshold_uncertainty_score":0.152173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4184138131814865,"score_gpt":0.5502017197426945,"score_spread":0.131787906561208,"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."}}