{"id":"W2186413373","doi":"","title":"The Arab Risk (ARABRISK): Translation and Validation.","year":2014,"lang":"en","type":"article","venue":"Biomedical Research-tokyo","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arabic; Reliability (semiconductor); Validity; Test (biology); Convergent validity; Medicine; Psychology; Clinical psychology; Psychometrics; 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":[0.009966448,0.0009204903,0.0004454118,0.001586756,0.0007899608,0.0007159734,0.0005493718,0.0003402694,0.005914951],"category_scores_gemma":[0.01695005,0.0002906623,0.0005273992,0.001380975,0.0004046656,0.0004726593,0.001000135,0.0006622656,0.002629308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005636954,"about_ca_system_score_gemma":0.002314083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005283626,"about_ca_topic_score_gemma":0.007847007,"domain_scores_codex":[0.9967247,0.001388579,0.0005352253,0.0002225135,0.001025762,0.0001032546],"domain_scores_gemma":[0.9926106,0.001681448,0.0006639228,0.0004444729,0.004362744,0.0002367757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001746633,0.002484423,0.1798255,0.002029837,0.0002652668,0.0006558035,0.01102744,0.0007174307,0.01059454,0.003030162,0.03121112,0.7564118],"study_design_scores_gemma":[0.001971812,0.003672782,0.6844238,0.002475208,0.0005019253,0.004449928,0.009077835,0.003320124,0.01133856,0.002761048,0.2758055,0.0002013719],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8757411,0.006811021,0.03445857,0.002327795,0.001371556,0.01376529,0.01242151,0.0004318194,0.05267133],"genre_scores_gemma":[0.7228764,0.009609141,0.2029684,0.001488143,0.0004166564,0.01947274,0.01859622,0.0002971558,0.02427522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009966448,"threshold_uncertainty_score":0.05270827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0532128390397814,"score_gpt":0.3429684995398022,"score_spread":0.2897556605000208,"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."}}