{"id":"W4200115119","doi":"10.1097/md.0000000000027627","title":"Translation, validation, and diagnostic accuracy of the Arabic version of the Michigan neuropathy screening instrument","year":2021,"lang":"en","type":"article","venue":"Medicine","topic":"Pain Mechanisms and Treatments","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Arabic; MEDLINE; Medical physics; Natural language processing; Linguistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007484572,0.0005734163,0.0003232931,0.001047991,0.0004546337,0.000752085,0.00047109,0.0003218745,0.002559882],"category_scores_gemma":[0.02645151,0.0002048084,0.0005202331,0.0008220459,0.0003913982,0.0004593442,0.0006946205,0.000413875,0.0007189092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004525593,"about_ca_system_score_gemma":0.0007295023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001753799,"about_ca_topic_score_gemma":0.001950412,"domain_scores_codex":[0.9958854,0.002212425,0.0005128909,0.0003255519,0.0009276808,0.0001360778],"domain_scores_gemma":[0.9901528,0.004277059,0.001385163,0.0004474907,0.003492534,0.0002449368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001296276,0.000621351,0.888364,0.0003075561,0.0002191023,0.000302808,0.003636434,0.0006450485,0.003265407,0.000580042,0.002248091,0.09851394],"study_design_scores_gemma":[0.0001903944,0.00138109,0.9821716,0.0003499785,0.0001500855,0.0008046416,0.001780503,0.006314235,0.002232408,0.0005216599,0.004053709,0.00004971999],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944765,0.0003363535,0.001746835,0.0001692525,0.00008481039,0.0002270412,0.0004339624,0.00001662802,0.002508791],"genre_scores_gemma":[0.9915711,0.0002628628,0.006478937,0.00009793479,0.00003494238,0.0003749472,0.0005968804,0.00001105723,0.0005712617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007484572,"threshold_uncertainty_score":0.03958267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02348481509544555,"score_gpt":0.2572814781450431,"score_spread":0.2337966630495976,"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."}}