{"id":"W4375853064","doi":"10.1029/2022wr032959","title":"An Interdisciplinary Water Risk Assessment Framework for Sustainable Water Management in Ontario, Canada","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Water security; Water quality; Water resources; Risk assessment; Environmental planning; Environmental resource management; Environmental science; Groundwater; Scale (ratio); Risk management; Water resource management; Geography; Business; Engineering; Computer science; Ecology; Cartography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004119115,0.0002752011,0.0002572134,0.0004090969,0.001081659,0.0003683046,0.001027451,0.0001060568,0.004224477],"category_scores_gemma":[0.000006218533,0.000155924,0.00007436613,0.0003200697,0.0001640902,0.0004256001,0.005103039,0.000749573,0.0005171267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002571104,"about_ca_system_score_gemma":0.00003084852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8798789,"about_ca_topic_score_gemma":0.9448256,"domain_scores_codex":[0.9942852,0.0003765342,0.0004030438,0.0008897022,0.001371073,0.002674432],"domain_scores_gemma":[0.9988278,0.00007294714,0.0000233297,0.0007965812,0.00003845458,0.0002409349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001854742,0.00242539,0.4614795,0.001209527,0.0008403244,0.007225045,0.1472952,0.1214091,0.008581297,0.004538613,0.2207045,0.02243679],"study_design_scores_gemma":[0.001473045,0.0006905679,0.1331023,0.00005879149,0.00004272011,0.000001793607,0.02942726,0.007068655,0.01213172,0.08122153,0.7339982,0.0007834805],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718431,0.000003436419,0.0004669251,0.002153852,0.0001339935,0.001827081,0.000004419874,0.00007709632,0.02349013],"genre_scores_gemma":[0.9357347,0.00001430151,0.001600985,0.00008106181,0.00005977622,0.00102383,0.0002070869,0.00005406179,0.06122418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5132937,"threshold_uncertainty_score":0.9966858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02251272496422325,"score_gpt":0.3471455975782692,"score_spread":0.3246328726140459,"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."}}