{"id":"W4386309647","doi":"10.1002/adfm.202306947","title":"Solar‐Powered High‐Performance Lignin‐Wood Evaporator for Solar Steam Generation","year":2023,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Solar-Powered Water Purification Methods","field":"Energy","cited_by":197,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Postdoctoral Science Foundation of Jiangsu Province; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Materials science; Lignin; Solar energy; Chemical engineering; Evaporator; Desalination; Evaporation; Composite material; Pulp and paper industry; Organic chemistry; Chemistry; Mechanical engineering","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":[0.00009489607,0.0001911882,0.0001855301,0.0001806083,0.0001430241,0.0001583811,0.000190983,0.0001840206,0.00170976],"category_scores_gemma":[0.00007797239,0.0001006666,0.0001874084,0.0001899476,0.00008931279,0.0003075032,0.0001866752,0.0002621968,0.0003957849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001404134,"about_ca_system_score_gemma":0.0001180934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002276594,"about_ca_topic_score_gemma":0.0007760662,"domain_scores_codex":[0.9999566,0.000004415992,0.000002603769,0.000008622033,0.00001831836,0.000009428737],"domain_scores_gemma":[0.9999695,0.000005891377,0.000007818917,0.000002962008,0.000008936323,0.000004891912],"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":[0.00003725911,0.00002831686,0.0002227406,0.0001135798,0.000006688381,0.00004496574,0.00001252211,0.000419938,0.9933262,0.0002160116,0.0002217804,0.005349924],"study_design_scores_gemma":[0.00001116045,0.00008578363,0.001173678,0.000004175299,0.000008462068,0.0000427819,0.00001250666,0.006374302,0.9892129,0.00004488643,0.003022506,0.000006797459],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732109,0.001328496,0.02076649,0.0001210672,0.0000604297,0.00003422356,0.0002033668,0.0003456966,0.003929297],"genre_scores_gemma":[0.9925089,0.0002652534,0.00483404,0.00002400307,0.000009661893,0.00001377181,0.00006857045,0.00001838367,0.002257309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00170976,"threshold_uncertainty_score":0.005719721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04731833551343707,"score_gpt":0.2867116563865375,"score_spread":0.2393933208731004,"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."}}