{"id":"W6945200245","doi":"10.25384/sage.22695698","title":"sj-pdf-2-lup-10.1177_09612033211051275 – Supplemental Material for Validity and reliability of patient reported outcomes measurement information system computerized adaptive tests in systemic lupus erythematous","year":2023,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Reliability (semiconductor); Computerized adaptive testing; Systemic lupus erythematosus; Validity; Lupus erythematosus; Test (biology); Systemic lupus","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003247111,0.0007012936,0.0006852066,0.004723917,0.0009407157,0.002538179,0.002040439,0.001550069,0.8674323],"category_scores_gemma":[0.03759155,0.0007828231,0.0007367943,0.003715909,0.0003836036,0.001804051,0.001864994,0.001343323,0.619717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001075151,"about_ca_system_score_gemma":0.002249981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006579716,"about_ca_topic_score_gemma":0.0101019,"domain_scores_codex":[0.9974881,0.0004072858,0.0003671967,0.0002521389,0.001276064,0.0002092313],"domain_scores_gemma":[0.9559808,0.0241189,0.00183578,0.002706094,0.01331096,0.002047504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000112127,0.000164791,0.00133679,0.0001442401,0.000008244691,0.00002238485,0.00002555301,0.00004440424,0.0002021042,0.0003571978,0.970125,0.02745726],"study_design_scores_gemma":[0.0009769571,0.0003768235,0.04530227,0.0009903453,0.00004408443,0.0004283985,0.0003291008,0.0009119886,0.0022374,0.004243397,0.9440345,0.00012491],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004624054,0.0002862045,0.004551295,0.003687085,0.001652989,0.001475367,0.7284132,0.01005651,0.2452531],"genre_scores_gemma":[0.02511728,0.0006913708,0.01567705,0.00264948,0.001374412,0.002549428,0.6713966,0.007628647,0.2729158],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8674323,"threshold_uncertainty_score":0.1890917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1030260338254643,"score_gpt":0.3388699038145207,"score_spread":0.2358438699890564,"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."}}