{"id":"W6925266693","doi":"10.17632/p27nwr4xz5.1","title":"Data for: Building related energy poverty in developed countries — past, present, and future from a Canadian perspective.","year":2019,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Developed country; Poverty; Developing country; Energy (signal processing); Energy poverty","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":[0.001171606,0.001696481,0.001269245,0.006729648,0.001594373,0.00295906,0.00360457,0.0009717594,0.08749683],"category_scores_gemma":[0.007867947,0.0007390575,0.001642227,0.02109516,0.0004801636,0.001489345,0.002135963,0.001948055,0.02578926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01133087,"about_ca_system_score_gemma":0.0285627,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9294468,"about_ca_topic_score_gemma":0.9428027,"domain_scores_codex":[0.9990554,0.00005633648,0.0001316216,0.0001387207,0.000350423,0.0002675646],"domain_scores_gemma":[0.9935485,0.0005218824,0.0004778339,0.0005624316,0.004219257,0.0006701391],"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":[0.00003678845,0.000009108143,0.002037048,0.0008122565,0.00004217278,0.00001828476,0.00004605135,0.0002343867,0.00003463884,0.001157545,0.992601,0.002970752],"study_design_scores_gemma":[0.0001191358,0.000007059001,0.03040882,0.00148934,0.00007485903,0.00004410037,0.0003403609,0.0003410738,0.0002359557,0.001262565,0.9656157,0.00006099099],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004276949,0.00003271026,0.00001414463,0.00003936077,0.000006261425,0.000004307557,0.9992957,0.0000372031,0.0005275841],"genre_scores_gemma":[0.0009436925,0.0001616472,0.0002689431,0.00003738475,0.000003981546,0.00004241863,0.9975308,0.00004216397,0.0009690284],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08749683,"threshold_uncertainty_score":0.2927061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01283580711541499,"score_gpt":0.2520323518293612,"score_spread":0.2391965447139462,"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."}}