{"id":"W2764136337","doi":"10.3390/ijerph14101195","title":"Relationships among Environment, Climate, and Longevity in China","year":2017,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Science Foundation of Jiangsu Province","keywords":"Longevity; Altitude (triangle); Fish <Actinopterygii>; Ecology; Biology; Per capita; Humidity; Environmental science; Geography; Demography; Fishery; Meteorology; Mathematics","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":[0.0005461965,0.0001887672,0.0001926547,0.0007134182,0.0004086533,0.0003338887,0.0001515155,0.0001787365,0.0007193828],"category_scores_gemma":[0.0006277481,0.0001129344,0.0003900485,0.001261872,0.0002038658,0.0001928055,0.0003651438,0.0001669851,0.00006054976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004913821,"about_ca_system_score_gemma":0.0006092489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04007087,"about_ca_topic_score_gemma":0.05859437,"domain_scores_codex":[0.9998494,0.00003358104,0.00001721758,0.00003613279,0.00002616773,0.00003740492],"domain_scores_gemma":[0.9995762,0.00008423465,0.0001163101,0.0000413065,0.00007022473,0.0001118374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002293345,0.000006651877,0.9970604,0.000008271174,0.00007088363,0.0000506452,0.0001223729,0.0001777208,0.0002171237,0.00004686708,0.0000574754,0.002158623],"study_design_scores_gemma":[6.731389e-7,0.000007109171,0.9996274,0.000001284122,0.00001311387,0.00001481458,0.00004580155,0.0001754614,0.00001376322,0.00002858465,0.00007061739,0.0000014141],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999083,0.0003030999,0.00006409546,0.0000626464,0.000004238206,0.000002050409,0.0001504316,0.000002601703,0.0003277851],"genre_scores_gemma":[0.9995803,0.0001205644,0.00004447368,0.00001333733,0.000005206563,0.000002096708,0.0001186013,9.016538e-7,0.0001143875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04007087,"threshold_uncertainty_score":0.07967526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2081354973309223,"score_gpt":0.4209262509249714,"score_spread":0.2127907535940491,"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."}}