{"id":"W2617068761","doi":"","title":"Development of a risk scoring method for water security characterization","year":2012,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Water Systems and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Characterization (materials science); Computer science; Risk analysis (engineering); Business; Materials science; Nanotechnology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002432675,0.0008588429,0.0007513124,0.002750707,0.0005264297,0.001591303,0.0009571658,0.0005629055,0.002735701],"category_scores_gemma":[0.009120577,0.0003733362,0.0006468728,0.001632867,0.0003526477,0.001145475,0.0009899716,0.0008815499,0.0006992149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001011388,"about_ca_system_score_gemma":0.002006253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01284212,"about_ca_topic_score_gemma":0.01410959,"domain_scores_codex":[0.9982547,0.0003033319,0.0001804829,0.0001921362,0.0009751882,0.00009409383],"domain_scores_gemma":[0.995661,0.001527031,0.0004580406,0.0002289949,0.002004843,0.0001200996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001143962,0.000191873,0.02095647,0.0001748011,0.0001265404,0.0002268603,0.0004529068,0.1908049,0.02225229,0.009686239,0.005266074,0.7497467],"study_design_scores_gemma":[0.00000872189,0.00006652984,0.005018985,0.0000233348,0.00001872584,0.0001034151,0.0001279848,0.9838178,0.004901724,0.003248924,0.002626821,0.00003707417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0172971,0.00003080359,0.9797806,0.00006137686,0.00001209989,0.000176608,0.0002335909,0.0008809769,0.001526821],"genre_scores_gemma":[0.2308088,0.00007497262,0.7657868,0.00002309345,0.00001355521,0.0003412966,0.0005130082,0.000100141,0.002338305],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01284212,"threshold_uncertainty_score":0.02553475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01151800364828434,"score_gpt":0.2055924094976776,"score_spread":0.1940744058493933,"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."}}