{"id":"W4380203684","doi":"10.21608/mjmr.2023.210436.1394","title":"Premature Hair Greying and Diabetes Mellitus","year":2023,"lang":"en","type":"article","venue":"Minia Journal of Medical Research","topic":"Hair Growth and Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Diabetes mellitus; Medicine; Endocrinology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002048156,0.000129291,0.0001381894,0.0005376211,0.0003383579,0.000304715,0.0001329421,0.0002467953,0.004214485],"category_scores_gemma":[0.0009382532,0.0001067123,0.0001335728,0.0007160918,0.0002060288,0.0001456965,0.0002370413,0.0003199848,0.0002325855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001277961,"about_ca_system_score_gemma":0.0001934251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001802055,"about_ca_topic_score_gemma":0.001845586,"domain_scores_codex":[0.999813,0.00004531177,0.00001668549,0.0000321411,0.00005066892,0.00004217488],"domain_scores_gemma":[0.9990191,0.0001521678,0.000558349,0.00003357124,0.00006180929,0.0001749581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007715738,0.00003240466,0.9957551,0.00002147237,0.000009668464,0.0005727396,0.0001001361,0.00001263592,0.0003278224,0.00002372895,0.00011277,0.002954407],"study_design_scores_gemma":[0.000001473562,0.00005515919,0.9980109,0.00001004603,0.00000617278,0.001474623,0.000126261,0.00002726404,0.00003895436,0.00003285088,0.0002153558,0.000001003819],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976374,0.001197725,0.00003972761,0.0001123746,0.000009315364,0.000004174886,0.0001051024,0.000002960141,0.0008911874],"genre_scores_gemma":[0.9992805,0.0003581462,0.00004498923,0.00001846002,0.00001725402,0.00000149085,0.00004123026,4.730761e-7,0.0002374374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004214485,"threshold_uncertainty_score":0.01409888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06672074808907281,"score_gpt":0.4217060771883987,"score_spread":0.3549853290993259,"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."}}