{"id":"W6901443181","doi":"10.6068/dp14ba89b1a1559","title":"Trend 2005 - 2007. Statistics Canada. CANSIM: Environment - Environmental Quality | Country: Canada | Table: Potable water volumes processed by drinking water plants, by source water type, provinces, territories and drainage regions | Variable: Groundwater and groundwater under the influence of surface water (GUDI) (x 1,000,000) | Units: Cubic metres, 2005-2007. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-085.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water quality; Economic statistics; Water resources; Environmental data; Groundwater; Hydrology (agriculture); Official statistics; Summary statistics; Drainage","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":[0.002131571,0.002263541,0.00249366,0.007897362,0.002721222,0.004368994,0.00465378,0.001374436,0.1056714],"category_scores_gemma":[0.01875465,0.001730869,0.002105256,0.04194399,0.0006371317,0.00244157,0.002143948,0.002802304,0.05809388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04826484,"about_ca_system_score_gemma":0.1234629,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9925427,"about_ca_topic_score_gemma":0.9888912,"domain_scores_codex":[0.9956215,0.0003010995,0.0005409974,0.0005440674,0.002107959,0.0008844002],"domain_scores_gemma":[0.9636173,0.001467882,0.001100742,0.001098236,0.03122686,0.001488994],"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":[0.00001812203,0.000005070072,0.0008441433,0.00022836,0.00001787637,0.000005247121,0.00001464398,0.0001134972,0.000007443431,0.0003396633,0.9968695,0.001536511],"study_design_scores_gemma":[0.0001382375,0.00001024484,0.01900279,0.0007763109,0.00005986633,0.00002175144,0.0003247037,0.0005153568,0.0001613803,0.0007269102,0.9781868,0.00007552881],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003969616,0.00003998301,0.00002596549,0.0001143849,0.0000262495,0.00001346582,0.9987413,0.00006129306,0.0009377358],"genre_scores_gemma":[0.0007708936,0.0002769546,0.0004335791,0.0001650532,0.00001732099,0.0001329015,0.99421,0.0001306262,0.003862744],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1056714,"threshold_uncertainty_score":0.3535059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385772546765287,"score_gpt":0.2167709002479234,"score_spread":0.2029131747802706,"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."}}