{"id":"W6947941274","doi":"10.4224/20378289","title":"International Energy Agency Annex 39: High Performance Thermal Insulation Materials, Subtask A: Vacuum insulation panels - study on VIP-components and panels for service life prediction of VIP in building applications","year":2005,"lang":"en","type":"report","venue":"NPARC","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Service life; Thermal insulation; Agency (philosophy); Service (business); Energy (signal processing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003901416,0.001836626,0.001237332,0.003292643,0.00469666,0.002221609,0.003247098,0.007622263,0.01506144],"category_scores_gemma":[0.003593015,0.0010295,0.002915322,0.00405131,0.00087828,0.001558053,0.001051799,0.002978609,0.00592646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002760173,"about_ca_system_score_gemma":0.007499886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07536755,"about_ca_topic_score_gemma":0.1188553,"domain_scores_codex":[0.9951626,0.0005998324,0.0003899426,0.0002862843,0.002653464,0.0009078733],"domain_scores_gemma":[0.99616,0.001046584,0.0003129984,0.0005641897,0.001756056,0.0001600768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.004971829,0.003662816,0.03047541,0.008125697,0.0006537609,0.003632514,0.002305899,0.03986556,0.2341972,0.02757274,0.510732,0.1338045],"study_design_scores_gemma":[0.0005623039,0.003183505,0.1279825,0.002314444,0.0006942676,0.001057966,0.001919394,0.004480227,0.1701888,0.0077426,0.6795572,0.0003168397],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1894182,0.01416315,0.01835252,0.004470088,0.003339854,0.008485208,0.1027718,0.001472345,0.6575269],"genre_scores_gemma":[0.435134,0.02057127,0.03211388,0.00796943,0.0006803174,0.009801107,0.04781965,0.001097661,0.4448127],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07536755,"threshold_uncertainty_score":0.1498577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05873343561002882,"score_gpt":0.2782698967395646,"score_spread":0.2195364611295358,"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."}}