{"id":"W6957885228","doi":"10.6068/dp14ba8b0ef0148","title":"Trend 2007 - 2011. Statistics Canada. CANSIM: Families, Households and Housing - Housing and Dwelling Characteristics | Country: Canada | Table: Households and the environment survey, treatment of drinking water | Variable: Non-municipal water supply, Treated water to improve appearance, taste or odour | Units: %, 2007-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-100.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Economic statistics; Official statistics; Summary statistics; Population statistics; Population; Socioeconomic status; Descriptive statistics","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":[0.001983301,0.002460718,0.002656798,0.008011634,0.003296493,0.004578636,0.005436008,0.001481125,0.07880582],"category_scores_gemma":[0.01769296,0.001606169,0.002220202,0.03837536,0.0005838255,0.002245246,0.00254982,0.00287981,0.04446135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04322663,"about_ca_system_score_gemma":0.101801,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9933381,"about_ca_topic_score_gemma":0.9922026,"domain_scores_codex":[0.9962295,0.0002567745,0.0004262525,0.0005108568,0.001657405,0.000919238],"domain_scores_gemma":[0.9720343,0.001126437,0.0008837866,0.0009153427,0.02369463,0.001345454],"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":[0.00002241436,0.000006251929,0.001261753,0.0002959724,0.0000230161,0.000007770479,0.00002763133,0.0001073815,0.000008343537,0.0003394711,0.9962913,0.00160864],"study_design_scores_gemma":[0.0001511802,0.00001323739,0.02991963,0.001116306,0.00008106412,0.00003223284,0.0006733892,0.0005073446,0.0001671141,0.0006861482,0.9665609,0.00009152644],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005238884,0.00004464896,0.00002196732,0.00008529498,0.0000202793,0.0000111088,0.9991768,0.00003965144,0.0005478773],"genre_scores_gemma":[0.0007358755,0.0002441841,0.0003159555,0.0001057721,0.00001341359,0.0001094958,0.9959037,0.0000694635,0.002502185],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07880582,"threshold_uncertainty_score":0.3136326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02717383292289712,"score_gpt":0.226291768558425,"score_spread":0.1991179356355278,"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."}}