{"id":"W6889002749","doi":"10.25384/sage.7550930","title":"Supplementary – Supplemental material for Applying Item Response Theory Analysis to the Montreal Cognitive Assessment in a Low-Education Older Population","year":2019,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Item response theory; Montreal Cognitive Assessment; Cognition; Population; Cognitive Assessment System; Differential item functioning; Psychometrics; Social cognitive theory","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03553667,0.0001564041,0.0003799887,0.001246818,0.0002198494,0.0005761278,0.001317981,0.00004907405,0.01433925],"category_scores_gemma":[0.01556966,0.0001004539,0.0001127096,0.002561765,0.00001587104,0.0005249444,0.0005836961,0.0001725419,0.00001322722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001276899,"about_ca_system_score_gemma":0.0001324452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001084283,"about_ca_topic_score_gemma":0.001124944,"domain_scores_codex":[0.9946635,0.002343009,0.001014014,0.0006448537,0.0009865263,0.0003480951],"domain_scores_gemma":[0.9732952,0.02487457,0.0005447618,0.001031486,0.0001546258,0.00009935646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001096839,0.0001413223,0.5096058,0.000005487172,0.0001947194,0.000002754047,0.0006396671,0.0001822319,0.000552666,0.000012947,0.003944531,0.483621],"study_design_scores_gemma":[0.0008652944,0.00008684955,0.9739762,0.0001343653,0.0001677743,0.000006196563,0.01642283,0.003832909,0.00006544492,0.003088557,0.001208118,0.0001454663],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9233513,0.0001816177,0.05718874,0.001796235,0.000856511,0.001749518,0.01480712,0.000008619952,0.00006028488],"genre_scores_gemma":[0.9827429,0.00003550882,0.01332137,0.0005690938,0.0002048899,0.0001454243,0.00281101,0.00001200998,0.000157793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4834756,"threshold_uncertainty_score":0.993118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2425600070765915,"score_gpt":0.5079373494936699,"score_spread":0.2653773424170783,"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."}}