{"id":"W1980898257","doi":"10.1016/j.jup.2012.08.001","title":"Global catastrophes and trends: Assessing the applications to the electric utility sector","year":2012,"lang":"en","type":"article","venue":"Utilities Policy","topic":"Water Systems and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Domtar (Canada)","funders":"","keywords":"Water sector; Regional science; Economic sector; Business; Environmental planning; Economics; Economic geography; Economy; Engineering; Geography; Water supply; Environmental engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001850567,0.0006563575,0.0003998276,0.004614423,0.0002264547,0.001387644,0.0003972267,0.0006445207,0.001187616],"category_scores_gemma":[0.009466629,0.0001457361,0.0007723133,0.008205319,0.0006458086,0.00216066,0.0009297574,0.0006074084,0.0001252892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001523723,"about_ca_system_score_gemma":0.001010987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02232859,"about_ca_topic_score_gemma":0.02876267,"domain_scores_codex":[0.9993236,0.0003250542,0.0000458293,0.00006824484,0.0001483325,0.0000889528],"domain_scores_gemma":[0.9951584,0.00210888,0.001081592,0.000182256,0.001126735,0.0003420964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004826232,0.0002035585,0.7021405,0.0003793269,0.0005156969,0.0004188661,0.0005667496,0.198833,0.0007303754,0.013723,0.005247569,0.07675873],"study_design_scores_gemma":[0.00002995259,0.0007052876,0.650757,0.0001567945,0.0002023946,0.0002517571,0.00526596,0.3199492,0.00115151,0.01519417,0.006270222,0.00006571981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981373,0.001288917,0.005149205,0.001804963,0.00004430537,0.00005753226,0.003210338,0.00006184124,0.007009955],"genre_scores_gemma":[0.9960335,0.001211483,0.001285032,0.00006018407,0.00003201199,0.00002657146,0.0008300788,0.000009707353,0.0005114201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02232859,"threshold_uncertainty_score":0.04439723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806621535269224,"score_gpt":0.2673517605791927,"score_spread":0.2492855452265005,"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."}}