{"id":"W7033187345","doi":"","title":"Policy Recommendations for Deep Energy Retrofits","year":2021,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"Skin Protection and Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Greenhouse gas; Corporation; Plan (archaeology); Climate change; Energy policy","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":[0.008917741,0.001073483,0.0006205927,0.003493977,0.006892252,0.009148194,0.003442897,0.01462739,0.05720735],"category_scores_gemma":[0.02062659,0.0006215152,0.001228124,0.003141602,0.005239438,0.006573168,0.004920505,0.008992765,0.005215705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05199315,"about_ca_system_score_gemma":0.2568711,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8437381,"about_ca_topic_score_gemma":0.9128108,"domain_scores_codex":[0.9891953,0.002388393,0.0003840671,0.0005963584,0.00381128,0.003624456],"domain_scores_gemma":[0.9771761,0.005274068,0.0007988338,0.0006642229,0.01017111,0.005915691],"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":[0.0000388868,0.0001978914,0.000940051,0.0005393157,0.00001074403,0.0002398173,0.00145476,0.0008603447,0.000456452,0.1086913,0.8402491,0.04632136],"study_design_scores_gemma":[0.00004263985,0.00002444394,0.002560451,0.001055094,0.00001683431,0.00005009934,0.004765299,0.0002682828,0.0002684371,0.01031308,0.98059,0.0000453547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.003937079,0.01038445,0.001192959,0.7975093,0.003863777,0.0003589664,0.001136784,0.0004110359,0.1812057],"genre_scores_gemma":[0.08246084,0.02627447,0.01216295,0.5934886,0.001744186,0.0006463171,0.001311524,0.0001982057,0.2817128],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8437381,"threshold_uncertainty_score":0.3772385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01770704416442027,"score_gpt":0.2045712646617508,"score_spread":0.1868642204973305,"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."}}