{"id":"W6957389789","doi":"10.6068/dp14ba7c38ee440","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, both tap water and bottled 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":"Epilepsy research and treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Economic statistics; Official statistics; Summary statistics; Population; Socioeconomic status; Population 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001932703,0.002365115,0.002633609,0.007862106,0.003051673,0.004301358,0.005158522,0.001422406,0.07389945],"category_scores_gemma":[0.01695951,0.00164463,0.002150515,0.03836294,0.0005672843,0.002145308,0.002540112,0.002839921,0.04019951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0426012,"about_ca_system_score_gemma":0.09609166,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9928371,"about_ca_topic_score_gemma":0.9913147,"domain_scores_codex":[0.9964532,0.0002537088,0.0004086392,0.0004843935,0.001529583,0.0008705407],"domain_scores_gemma":[0.9730175,0.001178443,0.0009126867,0.0009107729,0.02260246,0.001378254],"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":[0.0000241315,0.000006920031,0.00137665,0.0003008688,0.00002499182,0.000007992955,0.00002942067,0.000118107,0.000008575507,0.0003505019,0.9961374,0.001614324],"study_design_scores_gemma":[0.0001677131,0.00001421525,0.03322769,0.001113396,0.00008352441,0.00003395676,0.0007120778,0.0005625419,0.0001812735,0.0007116253,0.9631001,0.00009188588],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005613176,0.00004015606,0.0000197836,0.00007656025,0.00001736484,0.000009997692,0.9992591,0.00003690462,0.0004839823],"genre_scores_gemma":[0.0007283454,0.0002105107,0.0002841606,0.00008865921,0.00001129075,0.00009866493,0.9962883,0.00006192209,0.002228162],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9261006,"threshold_uncertainty_score":0.3090948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03369004280213184,"score_gpt":0.2486372947791327,"score_spread":0.2149472519770009,"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."}}