{"id":"W2017504708","doi":"10.1007/s00484-004-0226-2","title":"Prevalence of weather sensitivity in Germany and Canada","year":2004,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":82,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Cold weather; Weather patterns; Epidemiology; Population; Demography; Geography; Population health; Meteorology; Climatology; Environmental science; Environmental health; Medicine; Climate change","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003071625,0.0000415597,0.00009790914,0.00009160211,0.000007635324,0.000002645908,0.00009142495,0.00002903707,0.0002387659],"category_scores_gemma":[0.00004256616,0.0000354816,0.00001456722,0.00005174182,0.00008174615,0.00008533958,0.00005511759,0.00006935986,0.000002568525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002146653,"about_ca_system_score_gemma":0.0000560031,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1284211,"about_ca_topic_score_gemma":0.27852,"domain_scores_codex":[0.9993863,0.00002618151,0.0002232862,0.00005881,0.0002054004,0.0001000266],"domain_scores_gemma":[0.9996519,0.00005493139,0.0001759314,0.0000353506,0.0000246528,0.00005721869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001516058,0.0001023992,0.9274462,0.00002159348,0.00002012096,0.0004663806,0.0005863977,0.000417993,0.06421653,0.00009046354,0.0002696255,0.006210628],"study_design_scores_gemma":[0.0005311773,0.0001142922,0.9956766,0.00003169209,0.000004013425,0.0004593153,0.00002639707,0.00002153194,0.001961256,0.0007903529,0.0003484504,0.00003496428],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958256,0.00008394878,0.00004287108,0.003567321,0.0002297544,0.00002557938,0.00001259538,6.819743e-7,0.0002116877],"genre_scores_gemma":[0.9988751,0.0002299209,0.0002436274,0.0005972013,0.00003769376,2.462973e-7,2.49232e-7,0.000002303048,0.00001361338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1500989,"threshold_uncertainty_score":0.8773829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01580160590309737,"score_gpt":0.2800495109154265,"score_spread":0.2642479050123291,"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."}}