{"id":"W2268831167","doi":"","title":"Questionmark’s Results Management System: Dynamic psychometric diagnostics to ensure defensibility","year":2009,"lang":"en","type":"article","venue":"","topic":"Technology and Human Factors in Education and Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.000350071,0.0001180115,0.0002086726,0.0005120817,0.0001193649,0.0000113278,0.0000893722,0.0001425624,0.00008165441],"category_scores_gemma":[0.0002587927,0.0000974782,0.00004728131,0.0005751376,0.00003624114,0.00002435021,0.00001463378,0.0002041528,0.0002364729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002427354,"about_ca_system_score_gemma":0.00003600921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001483881,"about_ca_topic_score_gemma":0.00004429149,"domain_scores_codex":[0.9989051,0.00002617855,0.0003426058,0.0003277348,0.0001703912,0.0002279659],"domain_scores_gemma":[0.999023,0.00005684202,0.00005676358,0.0005512485,0.0001046173,0.0002075647],"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":[0.001027318,0.003031854,0.1696647,0.001004908,0.0001499215,0.0000712663,0.001257882,0.00001234313,0.000031397,0.2925722,0.2814719,0.2497043],"study_design_scores_gemma":[0.0007241057,0.0003972071,0.9853336,0.000133998,0.00005132358,0.00001544725,0.0004465681,0.00002750654,0.00001221335,0.0007175021,0.01203925,0.0001013373],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8428094,0.0003211916,0.003374892,0.01608154,0.001017937,0.001388547,0.00001942596,0.0009287915,0.1340583],"genre_scores_gemma":[0.9848765,0.0002100919,0.006041653,0.002538728,0.00005226321,0.00001455562,0.00003645698,0.000006491199,0.006223235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8156688,"threshold_uncertainty_score":0.3975046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01828712225059919,"score_gpt":0.3414699463390283,"score_spread":0.3231828240884291,"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."}}