{"id":"W7133053492","doi":"","title":"Examining group differences in omission rates in a mathematics assessment","year":2005,"lang":"","type":"dissertation","venue":"TSpace","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Reliability (semiconductor); Demographics; Relation (database); Group (periodic table); Psychometrics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01785793,0.0003192596,0.0005867301,0.002214321,0.0004053792,0.001033623,0.0005893405,0.0004800723,0.001671045],"category_scores_gemma":[0.1504406,0.0001677805,0.0005038511,0.001166305,0.0006213484,0.00112496,0.001362716,0.0006551841,0.0005812664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004706095,"about_ca_system_score_gemma":0.0003444687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007022015,"about_ca_topic_score_gemma":0.00123574,"domain_scores_codex":[0.9852365,0.006251787,0.002320474,0.00163487,0.004198424,0.0003579342],"domain_scores_gemma":[0.8363284,0.1154923,0.02656614,0.00984183,0.01049568,0.001275609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001309643,0.00042555,0.909901,0.0001464228,0.0003148468,0.00017456,0.005453933,0.0003188126,0.004547897,0.0004620232,0.0006133802,0.07633191],"study_design_scores_gemma":[0.00002390859,0.0008621496,0.9920222,0.00003915906,0.00006293155,0.000332647,0.001414446,0.0008969884,0.0028557,0.0007123525,0.0007455429,0.00003206911],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954222,0.0001366682,0.002476137,0.00004888472,0.00003317398,0.00007811219,0.0001325572,0.00003263594,0.001639533],"genre_scores_gemma":[0.9950681,0.0001108874,0.00340174,0.0000444401,0.00001690382,0.0001255776,0.0003127856,0.00003614664,0.0008833318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01785793,"threshold_uncertainty_score":0.09444284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5414990327988992,"score_gpt":0.5495456717362989,"score_spread":0.008046638937399653,"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."}}