{"id":"W4206785506","doi":"10.1016/j.jcou.2022.101891","title":"Ultra-elastic and super-insulating biomass PEBA nanoporous foams achieved by combining in-situ fibrillation with microcellular foaming","year":2022,"lang":"en","type":"article","venue":"Journal of CO2 Utilization","topic":"Polymer Foaming and Composites","field":"Materials Science","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Materials science; Thermal insulation; Composite material; Thermal conductivity; Nanoporous; Microscale chemistry; Brittleness; Nanocomposite; Nanotechnology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001465991,0.000320261,0.0001879086,0.0001840919,0.0001645476,0.0002445541,0.0001418654,0.0003384489,0.0006134029],"category_scores_gemma":[0.0002092886,0.0001621814,0.0001940747,0.00009891418,0.0002718992,0.0003936155,0.0002710703,0.0003880913,0.0001835252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001437066,"about_ca_system_score_gemma":0.00009480752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002107466,"about_ca_topic_score_gemma":0.0005173605,"domain_scores_codex":[0.9999114,0.000007544756,0.000005260493,0.00002064672,0.00001807406,0.00003702732],"domain_scores_gemma":[0.9998688,0.00003610539,0.00003695737,0.00002242602,0.00001596478,0.0000197617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000021475,0.000005296344,0.00004084094,0.00001228491,0.000001857363,0.00003667087,0.00001676875,0.00007105256,0.9988153,0.0001122694,0.00001281982,0.000853305],"study_design_scores_gemma":[0.000001806489,0.00002376331,0.0002485975,9.677781e-7,0.000001751327,0.00002961684,0.000007167619,0.0004657032,0.9989208,0.000031675,0.0002661178,0.000001957141],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843289,0.0003955953,0.01333818,0.00005612533,0.00003478443,0.00001503863,0.00006702866,0.0001588724,0.001605614],"genre_scores_gemma":[0.9963003,0.0001254481,0.002901261,0.00001708676,0.000005481161,0.00001367029,0.00003349514,0.00001794963,0.0005853997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006134029,"threshold_uncertainty_score":0.002052009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0126569199399423,"score_gpt":0.2201762319246374,"score_spread":0.2075193119846951,"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."}}