{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001993159,0.001631074,0.002278617,0.0002175392,0.0005142604,0.0005415844,0.001213122,0.000670957,0.002447321],"category_scores_gemma":[0.00002607738,0.001031796,5.586915e-7,0.0000988297,0.0009668207,0.0003707843,0.001416008,0.0006722668,0.0001143114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008012446,"about_ca_system_score_gemma":0.001991253,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9996188,"about_ca_topic_score_gemma":0.9964424,"domain_scores_codex":[0.9919637,0.001159019,0.001685506,0.001966376,0.001396779,0.001828659],"domain_scores_gemma":[0.994171,0.0008532524,0.0006752836,0.003334162,0.00009149842,0.0008747927],"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":[0.0009235896,0.0001497036,0.001021208,0.0004877579,0.0008567035,0.000539218,0.00007928044,0.0001040994,0.0001520993,0.000005923151,0.9954862,0.0001942191],"study_design_scores_gemma":[0.003756218,0.0002170047,0.0001156606,0.00009407524,0.00179188,0.0001863839,0.0001771541,0.003568766,0.000007161325,8.565122e-8,0.9886645,0.001421116],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001071565,0.001753265,0.00001836962,0.000003321377,0.0005407706,0.001855483,0.9945718,0.00009696433,0.00008845834],"genre_scores_gemma":[0.001393878,0.005783281,0.0002432502,0.0001233566,0.0002160283,0.00004246072,0.9903716,0.0008458268,0.0009803129],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006821702,"threshold_uncertainty_score":0.9996437,"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."}}