{"id":"W6920138893","doi":"10.6068/dp14ba87ff06757","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 prior to consumption | 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":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Official statistics; Economic statistics; Population statistics; Summary 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":[0.002129731,0.00238875,0.002664819,0.007961445,0.003268476,0.004459196,0.005199952,0.001420816,0.07587127],"category_scores_gemma":[0.01741113,0.001645158,0.002237029,0.03892106,0.0005815172,0.002270367,0.002461156,0.002986483,0.04007103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04826593,"about_ca_system_score_gemma":0.1130164,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943335,"about_ca_topic_score_gemma":0.9929641,"domain_scores_codex":[0.9959427,0.000288072,0.0004529866,0.0005124099,0.001852298,0.0009516033],"domain_scores_gemma":[0.9697006,0.001135924,0.000959856,0.0009247759,0.02587606,0.001402776],"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":[0.00002678473,0.000007547073,0.00147009,0.0003308364,0.0000274174,0.000008866028,0.00003265447,0.0001199374,0.000009710293,0.0003864927,0.9957424,0.001837254],"study_design_scores_gemma":[0.0001597566,0.00001553227,0.03555613,0.001150089,0.00009071624,0.0000353762,0.0007567678,0.0005265795,0.0001791159,0.0007156313,0.9607165,0.00009780162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006505493,0.00005338967,0.00002480342,0.0001044791,0.00002331693,0.00001319875,0.9990481,0.00004178205,0.0006259906],"genre_scores_gemma":[0.0009197842,0.0002995442,0.0003787619,0.0001298719,0.0000159246,0.0001276862,0.9948949,0.00007920306,0.003154221],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07587127,"threshold_uncertainty_score":0.3501955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03337051526485123,"score_gpt":0.2351123968796959,"score_spread":0.2017418816148447,"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."}}