{"id":"W4319295072","doi":"10.1080/09638288.2023.2169771","title":"Interpreting results from Rasch analysis 1. The “most likely” measures coming from the model","year":2023,"lang":"en","type":"article","venue":"Disability and Rehabilitation","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"Ministero della Salute","keywords":"Rasch model; Polytomous Rasch model; Psychology; Item response theory; Econometrics; Psychometrics; Clinical psychology; Developmental psychology; Mathematics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1008318,0.002355205,0.002197181,0.01261797,0.001369145,0.006853485,0.001839896,0.001542216,0.008703145],"category_scores_gemma":[0.4201214,0.0008756471,0.002495713,0.007825438,0.002219288,0.004148479,0.002232879,0.001973354,0.00351616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626551,"about_ca_system_score_gemma":0.002342596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002254828,"about_ca_topic_score_gemma":0.001980489,"domain_scores_codex":[0.8388028,0.1128532,0.01311501,0.006165155,0.02842825,0.0006356289],"domain_scores_gemma":[0.5174677,0.3975439,0.02468538,0.02089458,0.03873401,0.0006744179],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001610094,0.0002672934,0.1227121,0.01576495,0.005060568,0.001554912,0.02075979,0.0196295,0.00666903,0.05763141,0.09150802,0.6568324],"study_design_scores_gemma":[0.0004618766,0.002779189,0.1962005,0.01881548,0.004106861,0.003230817,0.03399233,0.1313374,0.02414398,0.3948888,0.1885632,0.001479556],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07732708,0.007634747,0.8619486,0.008758145,0.002310289,0.002724553,0.008372337,0.007651866,0.02327235],"genre_scores_gemma":[0.4366926,0.002304619,0.5494865,0.001555695,0.001135427,0.002323621,0.002683209,0.001547324,0.002270981],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8991681,"threshold_uncertainty_score":0.5332561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2957634636922884,"score_gpt":0.43973304557705,"score_spread":0.1439695818847616,"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."}}