{"id":"W2590813732","doi":"","title":"The influence of combined meteorological parameters on hospital admissions for cardiovascular diseases in Florence 1998-2001","year":2003,"lang":"en","type":"article","venue":"Florence Research (University of Florence)","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Meteorology; Environmental science; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002153377,0.0001846734,0.0004268409,0.000175763,0.0006333326,0.00002245553,0.0009744458,0.0001308227,0.0003784278],"category_scores_gemma":[0.002870857,0.0001504523,0.000284507,0.001007579,0.001623179,0.0003038908,0.0002910103,0.0003782746,0.00006031597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002476183,"about_ca_system_score_gemma":0.0001911929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009615472,"about_ca_topic_score_gemma":0.0003136713,"domain_scores_codex":[0.9966257,0.0004711146,0.0002704373,0.000522144,0.001112132,0.0009984797],"domain_scores_gemma":[0.9970522,0.001475661,0.0001241744,0.0006603299,0.00009931692,0.0005883477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006628791,0.006442683,0.6267403,0.00115418,0.0007254592,0.000607218,0.02699701,0.09509729,0.008105818,0.01412052,0.05551771,0.157863],"study_design_scores_gemma":[0.003829922,0.008159302,0.9394972,0.0006640497,0.0001206461,0.00000562347,0.01180656,0.005057542,0.001142995,0.01580116,0.01310386,0.0008111697],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967592,0.0002498477,0.0001432684,0.001003823,0.00009677515,0.0009903439,0.00009423494,0.0000173789,0.0006451423],"genre_scores_gemma":[0.9967961,0.001725833,0.001321556,0.00003513911,0.00001273713,0.0000142346,0.00001336313,0.00000880219,0.00007223766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3127568,"threshold_uncertainty_score":0.6135267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08250554309973462,"score_gpt":0.3194307934549526,"score_spread":0.236925250355218,"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."}}