{"id":"W6939237113","doi":"10.6068/dp14baa312cd46","title":"Trend 2009 - 2011. Statistics Canada. CANSIM: Environment - Environmental Quality | Country: Canada | Province: Nova Scotia | Table: Households and the environment survey, knowledge of radon and testing | Variable: Could not describe radon (had only heard of it) | Units: %, 2009-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-085.","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; Nova scotia; Economic statistics; Summary statistics; Official statistics; Environmental data; Environmental quality; Quality (philosophy)","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":[0.00245671,0.002326099,0.002895733,0.008403826,0.003236176,0.005388673,0.004889357,0.00159098,0.1092666],"category_scores_gemma":[0.02103845,0.002176432,0.002303735,0.04015924,0.0006811111,0.0026466,0.002703603,0.003061355,0.06508473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06512272,"about_ca_system_score_gemma":0.163958,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951296,"about_ca_topic_score_gemma":0.9930531,"domain_scores_codex":[0.9945325,0.0003707104,0.0006983879,0.0006497713,0.002513399,0.001235196],"domain_scores_gemma":[0.9566308,0.001673648,0.001322795,0.001261051,0.03691012,0.002201752],"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":[0.00002578855,0.000006512702,0.001151283,0.0002938553,0.00002190218,0.000007372227,0.00002339691,0.0001190612,0.00001015488,0.0003788844,0.9962727,0.00168909],"study_design_scores_gemma":[0.0001732761,0.00001405483,0.02985823,0.001076382,0.00007466249,0.00002959639,0.0005423908,0.0005564906,0.0002067501,0.0006528875,0.9667135,0.0001016975],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005521712,0.00005411639,0.00002995171,0.0001535881,0.00004192768,0.00002015088,0.99826,0.00006857616,0.001316441],"genre_scores_gemma":[0.001188647,0.0003867511,0.0005734197,0.0002279383,0.00002534767,0.0001940774,0.9901204,0.0001955962,0.007087832],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1092666,"threshold_uncertainty_score":0.4725006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.054070820707231,"score_gpt":0.2558395001054264,"score_spread":0.2017686793981954,"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."}}