{"id":"W2557448686","doi":"10.1016/j.jcjd.2016.05.004","title":"Correlation between Total Solar Irradiance and Glycated Hemoglobin 2 to 3 Months Later in Patients with Diabetes: A Big-Data Analysis","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Glycated hemoglobin; Glycemic; Diabetes mellitus; Correlation; Correlation coefficient; Population; Type 2 diabetes; Hemoglobin; Internal medicine; Endocrinology; Statistics; Environmental health; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001903363,0.0005422457,0.001064563,0.001073755,0.000593416,0.001157856,0.0008852151,0.001134125,0.001373914],"category_scores_gemma":[0.00561807,0.0005229989,0.002543245,0.003070181,0.0004483797,0.001078079,0.001149071,0.001703247,0.0002620774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009119714,"about_ca_system_score_gemma":0.0008160166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01727974,"about_ca_topic_score_gemma":0.02225486,"domain_scores_codex":[0.9985342,0.000496281,0.000208425,0.0003638249,0.0001608358,0.0002364363],"domain_scores_gemma":[0.9929275,0.002717665,0.001947549,0.0009704132,0.0005059355,0.0009308765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005099144,0.00005357354,0.9970729,0.00001665791,0.0004425583,0.00005993552,0.00005154844,0.0001962163,0.00005485466,0.00002450439,0.0003335308,0.001183681],"study_design_scores_gemma":[0.00002627079,0.00009695785,0.9977049,0.00001238479,0.000239093,0.000127,0.0002313326,0.001211455,0.00004393077,0.00009162667,0.0001982796,0.00001678421],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954056,0.0003150782,0.0002054614,0.0002134872,0.00002486831,0.000009989272,0.003536159,0.000009649772,0.0002797123],"genre_scores_gemma":[0.9957988,0.000118226,0.0002440166,0.00009086273,0.00003210358,0.00001699002,0.003580041,0.0000057049,0.0001131927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01727974,"threshold_uncertainty_score":0.03435832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02506108144141514,"score_gpt":0.2281584178788827,"score_spread":0.2030973364374675,"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."}}