{"id":"W6939054302","doi":"10.6068/dp14ba8bdf27140","title":"Trend 2007 - 2011. Statistics Canada. CANSIM: Health - Environmental Factors | Country: Canada | Table: Households and the environment survey, treatment of drinking water | Variable: Non-municipal water supply, Boiled water in order to make it safe to drink in the last twelve months | Units: %, 2007-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-111.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Census; Health statistics; Official statistics; Summary statistics; Socioeconomic status; Statistical analysis; Public health","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.003074461,0.001595221,0.002183868,0.0002606672,0.0002473647,0.000235278,0.003058651,0.0004783925,0.01533539],"category_scores_gemma":[0.00002729763,0.0008604722,5.920344e-7,0.000194738,0.0004900717,0.0002208092,0.0018072,0.0008918898,0.0005248327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00197306,"about_ca_system_score_gemma":0.003099737,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.999903,"about_ca_topic_score_gemma":0.999894,"domain_scores_codex":[0.9892669,0.002329079,0.00194482,0.001931257,0.00213694,0.002390974],"domain_scores_gemma":[0.9928136,0.0009205538,0.000473451,0.004858086,0.000030664,0.0009035822],"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":[0.0007692927,0.000391495,0.001026981,0.000130546,0.0004496735,0.0004934085,0.0003582003,0.000566998,0.00001217088,0.000005838883,0.9957525,0.00004288766],"study_design_scores_gemma":[0.003625267,0.0003653886,0.0002887127,0.00003987999,0.0003020116,0.000062454,0.001108604,0.0005003696,8.382e-7,7.953741e-8,0.9925582,0.00114824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001118954,0.0004914975,0.000003700082,0.0000367401,0.0004960083,0.003269286,0.9951645,0.00002400405,0.000402376],"genre_scores_gemma":[0.0009299994,0.0007994045,0.00008534802,0.0008795994,0.0001239416,0.0001577045,0.9942758,0.0005790287,0.002169154],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01481056,"threshold_uncertainty_score":0.9996796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02411870151273928,"score_gpt":0.2376564328118975,"score_spread":0.2135377312991582,"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."}}