{"id":"W4405695403","doi":"10.1016/j.cej.2024.158880","title":"High-performance biomass moisture-electric generators derived from Distillers’ spent grains: Synthesis, photothermal enhancement, and environmental sensing applications","year":2024,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Solar-Powered Water Purification Methods","field":"Energy","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Biomass (ecology); Moisture; Performance enhancement; Materials science; Photothermal therapy; Environmental science; Waste management; Process engineering; Chemical engineering; Nanotechnology; Agronomy; Engineering; Composite material","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":[0.00007167261,0.0002480025,0.0001256661,0.0001954808,0.0001098262,0.000234212,0.0001880404,0.0001888158,0.0009241064],"category_scores_gemma":[0.0000962453,0.00009877374,0.0001243374,0.0002142027,0.0001038054,0.0003423222,0.0001553444,0.000324425,0.0002476918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001868278,"about_ca_system_score_gemma":0.0001106205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002507484,"about_ca_topic_score_gemma":0.001117297,"domain_scores_codex":[0.9999659,0.000003017668,0.000001668926,0.000009413982,0.00001086987,0.000009170518],"domain_scores_gemma":[0.9999771,0.000005077246,0.000004770623,0.000001761246,0.000005933241,0.000005341361],"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":[0.00006194581,0.00002295092,0.0002250071,0.000061063,0.000004004726,0.00005629745,0.00001467523,0.0001699117,0.9923555,0.0004373119,0.0001395655,0.006451701],"study_design_scores_gemma":[0.000007815855,0.00005709676,0.0008089545,0.000001680404,0.000005516079,0.00004327678,0.00001541338,0.00146469,0.9955319,0.00007057183,0.001990273,0.000002742124],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834874,0.001248076,0.01150455,0.0001331805,0.00005307358,0.00002714733,0.000212906,0.0001377045,0.003196032],"genre_scores_gemma":[0.9937313,0.000271851,0.004132558,0.00001942862,0.000007051855,0.000007487522,0.0001543721,0.00001751527,0.001658294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009241064,"threshold_uncertainty_score":0.003091455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007403847583096062,"score_gpt":0.2054979591365524,"score_spread":0.1980941115534564,"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."}}