{"id":"W2026043376","doi":"10.1007/s00484-012-0565-3","title":"Association of global weather changes with acute coronary syndromes: gaining insights from clinical trials data","year":2012,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian VIGOUR Centre; University of Alberta","funders":"National Oceanic and Atmospheric Administration","keywords":"Acute coronary syndrome; Medicine; Clinical trial; Demographics; Internal medicine; Medical emergency; Cardiology; Myocardial infarction; Demography","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":[0.01738112,0.0009113624,0.003612172,0.001301799,0.0004735726,0.002056718,0.0007783066,0.001913699,0.002800835],"category_scores_gemma":[0.03913138,0.0005331486,0.00329488,0.003252603,0.001134678,0.002570756,0.001098997,0.001976265,0.0002797401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003746047,"about_ca_system_score_gemma":0.0006549584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005074742,"about_ca_topic_score_gemma":0.001474886,"domain_scores_codex":[0.9874759,0.008218941,0.001844314,0.001317831,0.0008433586,0.0002997143],"domain_scores_gemma":[0.9307256,0.05390086,0.009841911,0.003308744,0.00129333,0.0009295798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.06612414,0.001142316,0.7192547,0.009074437,0.08240016,0.0003726314,0.0003598057,0.001787242,0.002033998,0.0009390976,0.003169609,0.1133418],"study_design_scores_gemma":[0.01482173,0.01210866,0.8895189,0.002106089,0.06144078,0.0007432359,0.0005491563,0.002446404,0.0007425919,0.003790144,0.01156463,0.000167675],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7705783,0.2102844,0.002912627,0.005206192,0.0004980318,0.0005406409,0.005342179,0.00004635962,0.004591251],"genre_scores_gemma":[0.9558858,0.03379634,0.002644694,0.001999059,0.0009797813,0.0002964299,0.004119969,0.00003199844,0.0002460027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01738112,"threshold_uncertainty_score":0.09192121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2253441588215968,"score_gpt":0.4550303460773404,"score_spread":0.2296861872557436,"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."}}