{"id":"W6931661983","doi":"10.5281/zenodo.7525631","title":"INTERPRETING RESULTS FROM RASCH ANALYSIS 1. THE \"MOST LIKELY\" MEASURES COMING FROM THE MODEL.","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"","keywords":"Rasch model; Raw score; Item response theory; Polytomous Rasch model; Measure (data warehouse); Differential item functioning; Psychometrics; Outcome (game theory)","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":[0.06424464,0.002586482,0.002277684,0.0076306,0.001319336,0.005519554,0.001507904,0.001443403,0.00705283],"category_scores_gemma":[0.2770529,0.0009434327,0.00257791,0.005617497,0.002340016,0.004490398,0.002416436,0.00198987,0.003536243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001464838,"about_ca_system_score_gemma":0.002602789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003289057,"about_ca_topic_score_gemma":0.002755021,"domain_scores_codex":[0.9113019,0.06000063,0.005489114,0.005444746,0.01719562,0.0005679543],"domain_scores_gemma":[0.7653223,0.1775162,0.01885385,0.01946303,0.01815607,0.0006885282],"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":[0.001432153,0.0002915479,0.1762019,0.0108165,0.006341043,0.001039729,0.01495645,0.03502716,0.008723176,0.08438072,0.05709248,0.6036971],"study_design_scores_gemma":[0.0002956653,0.001732028,0.1888574,0.007778408,0.002805867,0.001838585,0.01390731,0.2005562,0.01465422,0.4818092,0.08464259,0.00112256],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06334119,0.002995136,0.9064183,0.004197211,0.0009435003,0.001688636,0.005428516,0.005083331,0.0099042],"genre_scores_gemma":[0.5230421,0.00166004,0.4651749,0.0009691623,0.0006179246,0.001663667,0.003610977,0.001338587,0.00192264],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9357554,"threshold_uncertainty_score":0.3397622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1320060001573369,"score_gpt":0.324959777807332,"score_spread":0.1929537776499951,"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."}}