{"id":"W4366337320","doi":"10.46747/cfp.6904233","title":"Clinical public health, climate change, and aging","year":2023,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Climate change; Public health; Computer science; Extreme weather; Data science; Term (time); Medicine; Ecology; Biology; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002585471,0.0004660264,0.0006015587,0.001279448,0.003260436,0.003669525,0.0009778906,0.00760294,0.02474501],"category_scores_gemma":[0.01473297,0.0002685778,0.0004504697,0.001277484,0.002325602,0.002367554,0.001932795,0.007009694,0.004145072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005286554,"about_ca_system_score_gemma":0.01570813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2102116,"about_ca_topic_score_gemma":0.4533004,"domain_scores_codex":[0.9977678,0.0006608595,0.0001221997,0.0001526764,0.0008933313,0.0004031386],"domain_scores_gemma":[0.9913073,0.002339283,0.0004093143,0.0002317068,0.002789429,0.002922848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008916663,0.00002551505,0.001853541,0.00005844488,0.000005232506,0.0001223513,0.0001424033,0.00001322339,0.00003511671,0.001548283,0.9779009,0.01828597],"study_design_scores_gemma":[0.00004544825,0.00003048139,0.01981543,0.001104934,0.0000166512,0.0006753799,0.001060333,0.00008136439,0.00005960061,0.00572604,0.9713482,0.00003615857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0006648919,0.03013857,0.00006366854,0.9240347,0.01028375,0.00001548374,0.0002014516,0.00005746885,0.03453991],"genre_scores_gemma":[0.0349544,0.07651959,0.0009845287,0.7636183,0.06053338,0.0001387387,0.0004676854,0.00008434276,0.06269898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2102116,"threshold_uncertainty_score":0.417976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2204064490989435,"score_gpt":0.3600250167231904,"score_spread":0.1396185676242469,"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."}}