{"id":"W3179166298","doi":"10.1016/j.infrared.2021.103840","title":"Novel application of lignin biopolymer for radiative cooling","year":2021,"lang":"en","type":"article","venue":"Infrared Physics & Technology","topic":"Thermal Radiation and Cooling Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Materials science; Renewable energy; Radiative transfer; Biopolymer; Lignin; Environmental science; Irradiance; Radiative cooling; Process engineering; Polymer; Renewable resource; Composite material; Meteorology; Chemistry; Optics; Physics","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":[0.0001280501,0.0003181563,0.0001499059,0.0002146132,0.0001930228,0.0003090989,0.0002693011,0.0002535407,0.001319189],"category_scores_gemma":[0.00008696272,0.0001013919,0.0002343279,0.0002301867,0.0002116794,0.0003633342,0.0002747634,0.000359151,0.0002692609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001820613,"about_ca_system_score_gemma":0.0001768721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002338396,"about_ca_topic_score_gemma":0.0005075618,"domain_scores_codex":[0.9999236,0.000008754364,0.000003269284,0.00002002859,0.00002026381,0.00002412568],"domain_scores_gemma":[0.9999604,0.000006530598,0.00000988488,0.000005533584,0.000009043856,0.000008569732],"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":[0.0000174548,0.00001433725,0.00005160203,0.00005557641,0.000002385123,0.00007546895,0.00001360806,0.00006694014,0.9969422,0.0004708668,0.00004435411,0.002245136],"study_design_scores_gemma":[0.000005360612,0.00006240136,0.0003138484,0.000004146123,0.000006404552,0.0001019972,0.00001374682,0.0009229501,0.9958566,0.00005918564,0.002648923,0.000004371567],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9488233,0.005542454,0.034151,0.0002750742,0.0002035616,0.00006317361,0.0001012413,0.0001899418,0.01065016],"genre_scores_gemma":[0.9828651,0.001469983,0.01133148,0.00006572503,0.00003200483,0.00002648879,0.00004408897,0.00002219321,0.004142841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001319189,"threshold_uncertainty_score":0.004413188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01000424654738601,"score_gpt":0.2315968757084678,"score_spread":0.2215926291610818,"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."}}