{"id":"W3010790150","doi":"10.1177/0962280220907625","title":"A study of alternative approaches to non-normal latent trait distributions in item response theory models used for health outcome measurement","year":2020,"lang":"en","type":"article","venue":"Statistical Methods in Medical Research","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Polytomous Rasch model; Item response theory; Skewness; Normality; Statistics; Econometrics; Outcome (game theory); Mathematics; Psychology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3174593,0.0001908916,0.001082961,0.001057549,0.0001524856,0.00007389828,0.001540233,0.0001294061,0.0001989147],"category_scores_gemma":[0.8679782,0.0001339835,0.00008963202,0.005052122,0.0003889065,0.00008920723,0.0006560164,0.001197323,0.00000399216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003474404,"about_ca_system_score_gemma":0.0007752579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002193422,"about_ca_topic_score_gemma":0.0001162592,"domain_scores_codex":[0.9282534,0.05290655,0.003851647,0.001693895,0.01164318,0.00165131],"domain_scores_gemma":[0.4798712,0.5169968,0.0002731378,0.0006529298,0.0007436713,0.00146229],"domain_codex":null,"domain_gemma":"methods","domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.007181729,0.002045026,0.01453873,0.0001233401,0.00005916008,0.0001323428,0.01623501,0.001760797,0.00011789,0.06139318,0.0008134182,0.8955994],"study_design_scores_gemma":[0.004151815,0.006040868,0.2051882,0.0001411688,0.000008672263,0.000002593392,0.01713186,0.2947284,0.0001343416,0.4720033,0.0002064469,0.0002624025],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.068435,0.00005143418,0.9172918,0.01176469,0.0001154134,0.001957737,0.0002232316,0.00001221108,0.0001484529],"genre_scores_gemma":[0.5834897,0.00000270742,0.4159937,0.0001637327,0.0000312612,0.0002965004,0.000001944639,0.00001023979,0.00001019873],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.895337,"threshold_uncertainty_score":0.7028193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.957603297598445,"score_gpt":0.7042964429288336,"score_spread":0.2533068546696113,"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."}}