{"id":"W1582463713","doi":"10.1002/047147844x.wr64","title":"Fuzzy Criteria for Water Resources Systems Performance Evaluation","year":2004,"lang":"en","type":"other","venue":"Water Encyclopedia","topic":"Water resources management and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Resource (disambiguation); Risk analysis (engineering); Premise; Fuzzy logic; Reliability engineering; Point (geometry); Range (aeronautics); Operations research; Engineering; Business","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003142759,0.00040423,0.0003246403,0.000351013,0.00006572846,0.0001669792,0.0002661845,0.0002861153,0.000830286],"category_scores_gemma":[0.000002892628,0.0002669489,0.00007890381,0.00005120384,0.00002494311,0.0001364287,0.00005818061,0.0001138515,0.0005888837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001180462,"about_ca_system_score_gemma":0.000004580593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000497883,"about_ca_topic_score_gemma":0.00001647644,"domain_scores_codex":[0.9984283,0.0000346885,0.0003319875,0.0003452073,0.0003387042,0.0005210704],"domain_scores_gemma":[0.9994855,0.000004696924,0.000041072,0.0003602488,0.00004647186,0.00006199154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004010783,0.00004565337,0.000126653,0.004783892,0.0003938174,0.000006310274,0.006323402,0.3773747,0.0004728915,0.00003079428,0.6057146,0.004687111],"study_design_scores_gemma":[0.0006354684,0.00003632063,0.0000174971,0.0002620314,0.0001607286,0.000001300017,0.00002222929,0.02587491,0.0007342052,0.00005374737,0.9717003,0.0005012644],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01340342,0.0009300262,0.001269142,0.00003290532,0.003324395,0.002357582,0.00004481346,0.001125798,0.9775119],"genre_scores_gemma":[0.06282956,0.0009534479,0.0009886924,0.00002816386,0.003598792,0.001240094,0.002958617,0.001405493,0.9259971],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3659857,"threshold_uncertainty_score":0.9999782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298321651396234,"score_gpt":0.2225572658590448,"score_spread":0.2095740493450824,"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."}}