{"id":"W3118907400","doi":"10.1007/s00484-020-02063-z","title":"Technological opportunities for sensing of the health effects of weather and climate change: a state-of-the-art-review","year":2021,"lang":"en","type":"review","venue":"International Journal of Biometeorology","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Scarborough Hospital; Environment and Climate Change Canada; University of Toronto","funders":"University of Twente","keywords":"Climate change; Thematic map; Environmental resource management; Human health; Emerging technologies; Environmental science; Data science; Environmental planning; Remote sensing; Computer science; Geography; Ecology; Environmental health; Biology; Cartography; Medicine","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":[0.001505833,0.001115773,0.002131087,0.00270411,0.0002500258,0.001691361,0.001473311,0.001645688,0.004972311],"category_scores_gemma":[0.002728554,0.000367093,0.001160095,0.003216969,0.0005463866,0.002120783,0.0009229638,0.001787241,0.001807891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005783113,"about_ca_system_score_gemma":0.00205199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001470598,"about_ca_topic_score_gemma":0.00258367,"domain_scores_codex":[0.9995652,0.0000669747,0.00006690569,0.00009206448,0.0001675704,0.00004135015],"domain_scores_gemma":[0.9971445,0.001977171,0.0002605284,0.00004939113,0.0004605613,0.0001076768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008747634,0.00006442644,0.0003278626,0.05151173,0.0002261183,0.0001262576,0.00005041173,0.0005101464,0.002324787,0.003596524,0.01814685,0.9230274],"study_design_scores_gemma":[0.00002456167,0.0001545814,0.001438008,0.01297701,0.0006165056,0.0007162122,0.0001211512,0.0002239226,0.001012255,0.003107844,0.9795555,0.00005225142],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005552259,0.9991857,0.0001175214,0.0001745636,0.0001439089,0.000004468883,0.0000330576,0.000004205428,0.0002809167],"genre_scores_gemma":[0.0003062494,0.9992472,0.0001782717,0.00007625388,0.00008285771,0.000003209881,0.00002591626,7.559109e-7,0.00007932038],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004972311,"threshold_uncertainty_score":0.01663405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1158364275228506,"score_gpt":0.3705050036361549,"score_spread":0.2546685761133043,"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."}}