{"id":"W4289341701","doi":"10.5430/jct.v11n5p186","title":"Item Equivalence Verification according to Test Information Media of the Optician National Licensing Examination: Focused on the Smart Device Based and Paper Based Tests Including Multimedia Items","year":2022,"lang":"en","type":"article","venue":"Journal of Curriculum and Teaching","topic":"Education and Learning Interventions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Test (biology); Equivalence (formal languages); Factorial analysis; Computer science; Multimedia; Statistics; Mathematics","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":[0.03986114,0.0004370062,0.0008119298,0.00184327,0.0007207041,0.00100192,0.001016166,0.0007884935,0.00466165],"category_scores_gemma":[0.1503068,0.0002830086,0.001450076,0.001104957,0.001467155,0.002044542,0.002001494,0.001019001,0.000810996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009098566,"about_ca_system_score_gemma":0.001775855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007864247,"about_ca_topic_score_gemma":0.001231578,"domain_scores_codex":[0.9478745,0.02476798,0.007447654,0.004032921,0.01471501,0.001161824],"domain_scores_gemma":[0.8524325,0.09859036,0.007929398,0.01078714,0.02870442,0.001556215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005019496,0.003405888,0.7096707,0.0006084946,0.0004174827,0.0001774598,0.007502874,0.0007197115,0.01161567,0.004133176,0.001384302,0.2553447],"study_design_scores_gemma":[0.0004700774,0.006941645,0.9633804,0.0002095442,0.0002396241,0.0003282195,0.003405316,0.004489243,0.01374899,0.001911775,0.004803161,0.00007193933],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694387,0.0001850965,0.02057589,0.0002551041,0.0002255849,0.001678027,0.0002202176,0.00007284027,0.00734867],"genre_scores_gemma":[0.9779804,0.00008381902,0.01846094,0.00009124406,0.00003992839,0.002059951,0.0003975841,0.00003471884,0.0008513958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03986114,"threshold_uncertainty_score":0.2108083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03746631903869132,"score_gpt":0.2954779305994548,"score_spread":0.2580116115607635,"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."}}