{"id":"W6957662479","doi":"10.6068/dp14ba85f76ac24","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, Did not treat water prior to consumption | 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; Official statistics; Health statistics; Summary statistics; Socioeconomic status; 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":[0.002559486,0.002258391,0.002763045,0.007865383,0.003266267,0.004668626,0.005060622,0.001553492,0.09915934],"category_scores_gemma":[0.01956742,0.00200895,0.00243644,0.0374046,0.0006553043,0.002335674,0.002355178,0.003213211,0.05012928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06348057,"about_ca_system_score_gemma":0.1617899,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955277,"about_ca_topic_score_gemma":0.9938709,"domain_scores_codex":[0.995214,0.000375521,0.000530789,0.000525734,0.002242513,0.001111451],"domain_scores_gemma":[0.9641902,0.001415965,0.001063621,0.001033037,0.03043201,0.001865174],"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":[0.00002555593,0.000006920593,0.001070716,0.0002810162,0.00002470395,0.000006475356,0.00002130496,0.0001158059,0.000008422517,0.0003863649,0.9962943,0.00175851],"study_design_scores_gemma":[0.0001879286,0.00001611433,0.02851165,0.001040784,0.00009741143,0.00003319001,0.000522361,0.0006034864,0.0001921091,0.0007312832,0.9679636,0.00009998039],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005678739,0.00006339587,0.00003361805,0.0001681916,0.00003700756,0.00002191233,0.9984651,0.00006623693,0.001087872],"genre_scores_gemma":[0.001200822,0.0004399196,0.0006519899,0.0002581717,0.00002586603,0.0001955587,0.9914557,0.0001594096,0.005612585],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09915934,"threshold_uncertainty_score":0.460586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03390676880476175,"score_gpt":0.2432036643141226,"score_spread":0.2092968955093609,"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."}}