{"id":"W6990998502","doi":"","title":"621 Energy Savings - News Package from NSB","year":2011,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Energy (signal processing); Efficient energy use; SAINT","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":["insufficient_payload"],"category_scores_codex":[0.0002430282,0.0005749664,0.0002592497,0.00106882,0.001045561,0.002370513,0.0005446629,0.001047984,0.6622809],"category_scores_gemma":[0.001085553,0.0003140386,0.0002548691,0.001926175,0.0001201131,0.001073428,0.0008567089,0.001364387,0.4330057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001179892,"about_ca_system_score_gemma":0.00142113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03237475,"about_ca_topic_score_gemma":0.1036988,"domain_scores_codex":[0.9997222,0.00001840934,0.000007518766,0.00001700606,0.0001908537,0.00004410991],"domain_scores_gemma":[0.9994844,0.00006318968,0.00002430443,0.00003836235,0.0002788905,0.0001108242],"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":[0.000008479486,0.00001100648,0.00002878153,0.00001870319,3.507169e-7,0.000006276409,0.000009469397,0.00001332798,0.00003182357,0.0003596429,0.9897971,0.009714991],"study_design_scores_gemma":[0.000003851451,0.000004836098,0.0005415124,0.00001779706,6.079288e-7,0.000007988806,0.00002371818,0.00002275022,0.00006524537,0.0000940376,0.999215,0.000002679934],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004405828,0.0002777624,0.0001760103,0.001300194,0.0005218486,0.00007096372,0.01395231,0.0007193432,0.982541],"genre_scores_gemma":[0.001145322,0.0002916428,0.0001382743,0.0003914379,0.00011981,0.000033926,0.006826001,0.0003885782,0.990665],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3377191,"threshold_uncertainty_score":0.4817153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007656567948358065,"score_gpt":0.1772265285576517,"score_spread":0.1695699606092937,"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."}}