{"id":"W4385434720","doi":"10.1139/facets-2022-0223","title":"How might climate change impact water safety and boil water advisories in Canada?","year":2023,"lang":"en","type":"article","venue":"FACETS","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; York University","keywords":"Climate change; Environmental science; Groundwater; Flooding (psychology); Water resource management; Precipitation; Water security; Hydrology (agriculture); Water resources; Geography; Meteorology; Engineering; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001470186,0.0001386462,0.0001599653,0.00004468531,0.0001042374,0.00009388787,0.0001027722,0.0000450372,0.0008843385],"category_scores_gemma":[0.000003877894,0.00007407281,0.0000237539,0.00007418689,0.00002779161,0.0002408099,0.00003368859,0.0000939739,0.0001737822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001676649,"about_ca_system_score_gemma":0.00003393393,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6617844,"about_ca_topic_score_gemma":0.8679202,"domain_scores_codex":[0.9988545,0.00002554829,0.0001134453,0.0002138273,0.0001514755,0.000641212],"domain_scores_gemma":[0.9997203,0.00001426067,0.00001108821,0.000125388,0.00001099376,0.0001179684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004562943,0.000002341255,0.990606,0.00005227117,0.000008781231,0.00008210976,0.001466886,0.00006929736,0.0009330023,6.54512e-7,0.0008231886,0.005909842],"study_design_scores_gemma":[0.000279638,0.00002825775,0.9599409,0.00001466584,0.000003836934,0.00001539671,0.0003724774,0.0006879155,0.01082118,0.00005416146,0.02758607,0.0001955312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958885,0.0001471635,3.57807e-7,0.002257021,0.0001941833,0.0001012735,0.0002458902,0.00002956526,0.001136007],"genre_scores_gemma":[0.9979377,0.0001921478,0.000004830432,0.0001381776,0.00006659242,0.000002336163,0.0006885856,0.000003850386,0.0009657332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2061358,"threshold_uncertainty_score":0.9682886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01249255237572165,"score_gpt":0.1898918048282203,"score_spread":0.1773992524524986,"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."}}