{"id":"W6901427930","doi":"10.6068/dp14ba8cd1eaa45","title":"Trend 2007 - 2011. Statistics Canada. CANSIM: Families, Households and Housing - Housing and Dwelling Characteristics | Country: Canada | Table: Households and the environment survey, primary type of drinking water consumed | Variable: Municipal and non-municipal water supply, Primary type of drinking water, other type of water | 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; Summary statistics; Population; Socioeconomic status; Population statistics; Statistical analysis","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":[0.00198226,0.002426658,0.00266308,0.008172648,0.003336159,0.00463648,0.005210122,0.00141996,0.07231896],"category_scores_gemma":[0.0172432,0.001639935,0.002191442,0.03912882,0.0005862033,0.002218927,0.002539891,0.002862184,0.04071651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04767447,"about_ca_system_score_gemma":0.1042999,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945451,"about_ca_topic_score_gemma":0.993323,"domain_scores_codex":[0.9962308,0.0002559614,0.0004076424,0.0005074614,0.001658096,0.0009400964],"domain_scores_gemma":[0.9733018,0.001080106,0.0008635805,0.0008682516,0.02254694,0.001339265],"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":[0.00002542806,0.000006797329,0.001423953,0.0002966007,0.00002564113,0.000008780138,0.00003299116,0.0001160056,0.000009487229,0.0003827513,0.9958699,0.001801555],"study_design_scores_gemma":[0.0001533338,0.00001393555,0.03280633,0.001076703,0.00008496072,0.00003526351,0.0007287518,0.0005627862,0.0001842004,0.0006981916,0.9635607,0.00009494246],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006175291,0.0000487229,0.00002324873,0.00009035641,0.00002065485,0.00001110681,0.9991345,0.00004213789,0.0005675912],"genre_scores_gemma":[0.0008328893,0.0002564095,0.0003393707,0.0001041184,0.00001328873,0.0001056637,0.9956192,0.00007211261,0.002656932],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07231896,"threshold_uncertainty_score":0.3459041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03539532695191788,"score_gpt":0.2357767440315532,"score_spread":0.2003814170796353,"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."}}