{"id":"W4292342437","doi":"10.1111/wej.12822","title":"Failure mode effects and criticality analysis of water supply systems' risks: Path to water resources planning and policy","year":2022,"lang":"en","type":"article","venue":"Water and Environment Journal","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"United Nations University Institute for Water, Environment, and Health","funders":"","keywords":"Failure mode, effects, and criticality analysis; Water supply; Failure mode and effects analysis; Risk analysis (engineering); Risk assessment; Risk management; Environmental science; Water resource management; Environmental engineering; Engineering; Reliability engineering; Business; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004610705,0.0001888356,0.0003926916,0.0004214654,0.0005630152,0.0002116227,0.0001040054,0.00004957771,0.0001092047],"category_scores_gemma":[0.000004329188,0.0001080424,0.00007796542,0.00005605588,0.00009063965,0.0001548165,0.0003159744,0.0002679955,0.000002262575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006795707,"about_ca_system_score_gemma":0.00000102033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002491729,"about_ca_topic_score_gemma":0.00000175644,"domain_scores_codex":[0.9982803,0.0003060039,0.000359152,0.0002992329,0.0003277755,0.0004275688],"domain_scores_gemma":[0.9995193,0.00003557585,0.00003212179,0.0001465307,0.000008779799,0.0002577034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001677883,0.0005721029,0.6598856,0.001015007,0.001425798,0.0002405577,0.1057149,0.01527923,0.2115441,0.00002786529,0.0009650536,0.00165192],"study_design_scores_gemma":[0.007259776,0.002037659,0.540641,0.0003318743,0.003521115,0.001317226,0.004953885,0.00570296,0.3688468,0.003405898,0.06049438,0.001487486],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930342,0.0003377205,0.0002440043,0.006017319,0.00008900649,0.0001839115,0.00005703684,0.00001168661,0.00002511366],"genre_scores_gemma":[0.9990848,0.00004337439,0.00009218499,0.0004980585,0.0001479693,0.00001748414,0.00005337683,0.00001840823,0.00004428429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1573027,"threshold_uncertainty_score":0.4405842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01099280592454929,"score_gpt":0.2618539885824897,"score_spread":0.2508611826579404,"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."}}