{"id":"W6950295332","doi":"10.5683/sp2/xd0yvz","title":"BC MUNICIPAL WATER SURVEY 2016","year":2019,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water supply; Wastewater; Water industry; Water quality; Water resources; Water use; Water pollution; Local government","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":[0.001372731,0.00127526,0.001367405,0.00450924,0.001801442,0.0023754,0.002426693,0.0009096646,0.03025115],"category_scores_gemma":[0.008345275,0.0006862091,0.0006091343,0.01584952,0.0002908799,0.0008061596,0.001371242,0.001736161,0.02816514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01536847,"about_ca_system_score_gemma":0.01972947,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8755389,"about_ca_topic_score_gemma":0.919897,"domain_scores_codex":[0.9976094,0.0002230124,0.000253815,0.0004372247,0.001103648,0.0003730317],"domain_scores_gemma":[0.9910064,0.0002913218,0.0004589613,0.0004355935,0.007264725,0.0005429731],"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":[0.00004027452,0.00001266434,0.002553196,0.0001533693,0.00001821009,0.00001302473,0.00003010568,0.00008665959,0.00002473766,0.0002752524,0.9938928,0.002899836],"study_design_scores_gemma":[0.0001045528,0.000008494228,0.05040788,0.0002951111,0.00002736555,0.00003733421,0.0001838769,0.0003715117,0.0002518573,0.0003405959,0.9479375,0.00003387881],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005007015,0.00008785314,0.00006559902,0.0001372199,0.00003658644,0.00004263801,0.9966685,0.00006305843,0.002397808],"genre_scores_gemma":[0.002201485,0.000210308,0.000411309,0.000117901,0.00001981887,0.0002882393,0.9899257,0.00004978432,0.006775422],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1244611,"threshold_uncertainty_score":0.2503881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05318157177922885,"score_gpt":0.3057570186276055,"score_spread":0.2525754468483767,"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."}}