{"id":"W2536335069","doi":"10.1038/srep35755","title":"A New Time-varying Concept of Risk in a Changing Climate","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Climate change; Computer science; Reliability (semiconductor); Risk analysis (engineering); Multivariate statistics; Risk management; Environmental resource management; Environmental science; Ecology; Business; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00390177,0.001347255,0.0006896112,0.001348055,0.0005710631,0.002701157,0.002008351,0.001498294,0.001896081],"category_scores_gemma":[0.009048416,0.0003968689,0.00148489,0.001101102,0.003521905,0.006307732,0.001849805,0.002865847,0.0002378035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001472302,"about_ca_system_score_gemma":0.000951376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001140904,"about_ca_topic_score_gemma":0.0007492058,"domain_scores_codex":[0.9969059,0.0012938,0.0001593701,0.000658627,0.0007761137,0.0002062253],"domain_scores_gemma":[0.9960002,0.001974838,0.0007475278,0.0004211135,0.0005843002,0.0002719322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004368463,0.00004253852,0.001692655,0.0001327987,0.00007642364,0.0002584112,0.000467888,0.1608219,0.002292948,0.8081992,0.001006827,0.02496474],"study_design_scores_gemma":[0.00001699956,0.0001923531,0.001485836,0.00006727599,0.00006492713,0.0003909655,0.0002376015,0.4680988,0.0006857865,0.5196812,0.008981995,0.00009608419],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0240047,0.001225717,0.9667919,0.0009921667,0.0002311974,0.00003143536,0.00008158597,0.0000795648,0.006561704],"genre_scores_gemma":[0.8140957,0.002438125,0.1749042,0.0003806833,0.0007546496,0.0001920287,0.0001481496,0.00009373874,0.006992689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00390177,"threshold_uncertainty_score":0.02063477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006225007437843556,"score_gpt":0.2205152351010261,"score_spread":0.2142902276631826,"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."}}