{"id":"W2290835353","doi":"10.14288/1.0071731","title":"Boil, boil, toil and trouble : the trouble with boil water advisories in British Columbia","year":2011,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Water Resources and Governance","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"History; Forensic engineering; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004404399,0.00005971076,0.0003118472,0.00001961139,0.001018449,0.0006772115,0.0005402719,0.0001348716,0.0004700685],"category_scores_gemma":[0.00001920698,0.0001581177,0.00008044032,0.0002770913,0.001203039,0.0007309133,0.0001845239,0.0002031511,0.00001100693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008585971,"about_ca_system_score_gemma":0.0001016916,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9791601,"about_ca_topic_score_gemma":0.9981009,"domain_scores_codex":[0.9982576,0.0001341769,0.0001578832,0.0004596284,0.0004213821,0.0005693699],"domain_scores_gemma":[0.9993036,0.00003159632,0.0001192911,0.0002580042,0.0001302581,0.000157212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007912922,0.0003556308,0.722335,0.0001043106,0.00008850573,0.0007041987,0.04316724,0.00000408793,0.00004170417,0.00002208307,0.0163741,0.216724],"study_design_scores_gemma":[0.001351459,0.0001400511,0.951188,0.0001699524,0.00003206346,0.0000422374,0.02002373,0.000008586919,0.000001869197,0.0006168291,0.02616769,0.0002574855],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867248,0.0003100365,0.00001281621,0.0003320909,0.00008871992,0.0003050994,0.00007371871,0.00005705257,0.01209565],"genre_scores_gemma":[0.9806041,0.0005038227,0.0001513358,0.00008887013,0.00004734102,0.000002695791,0.000006028105,0.00001768798,0.01857812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2288531,"threshold_uncertainty_score":0.7833188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113716506987521,"score_gpt":0.1676513896905698,"score_spread":0.1565142246206946,"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."}}