{"id":"W3045154667","doi":"10.2166/wp.2020.029","title":"Evaluating the use and intent of drinking water advisories in Atlantic Canada","year":2020,"lang":"en","type":"article","venue":"Water Policy","topic":"Water Systems and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Nova scotia; Duration (music); Business; Water safety; Process (computing); Environmental planning; Environmental resource management; Risk analysis (engineering); Environmental science; Geography; Computer science; Water quality","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.00006858845,0.00006965821,0.00009915848,0.00003061482,0.00002279425,0.00003391278,0.00005709879,0.00001818389,0.000006062139],"category_scores_gemma":[0.00001785574,0.0000351274,0.00001007933,0.00004738387,0.00001165118,0.00008347858,0.00004730927,0.00005289331,0.000001468925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003531333,"about_ca_system_score_gemma":0.00001457276,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3663829,"about_ca_topic_score_gemma":0.2004099,"domain_scores_codex":[0.9994894,0.00002349148,0.0001730504,0.00006893561,0.00008360826,0.0001614883],"domain_scores_gemma":[0.9998614,0.00001072944,0.000008724517,0.00007279206,0.00001840627,0.00002793277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001813467,0.00000486967,0.05213345,0.0003971768,0.00005355647,0.000009996425,0.05393554,0.8597969,0.03163626,0.0002765486,0.001011543,0.000725967],"study_design_scores_gemma":[0.0008378859,0.00009714365,0.01417856,0.0001765029,0.00002635322,0.00001375231,0.0004803647,0.8376035,0.1356294,0.0001165093,0.01045871,0.0003813021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982854,0.00001627072,0.0002235429,0.001209246,0.00006707364,0.00009697733,0.000001280124,0.00001935937,0.00008082582],"genre_scores_gemma":[0.9995729,0.000005533664,0.00009875359,0.0001499736,0.00008899414,0.000005821772,0.000007460931,0.00001249246,0.00005812548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1659729,"threshold_uncertainty_score":0.8141805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04843788308215535,"score_gpt":0.2406076903384496,"score_spread":0.1921698072562942,"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."}}