{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001154794,0.0003709778,0.0004512912,0.0002635985,0.0004395363,0.0001430409,0.0002532275,0.0002519996,0.0007041],"category_scores_gemma":[0.0003762056,0.0003693156,0.0001010678,0.000502831,0.00005752593,0.0008112991,0.0000753901,0.0001114132,0.001180018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001438898,"about_ca_system_score_gemma":0.0001113169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002839047,"about_ca_topic_score_gemma":0.000007957155,"domain_scores_codex":[0.9971915,0.0002399237,0.0008009372,0.0007267772,0.0004507706,0.0005900643],"domain_scores_gemma":[0.9982585,0.0002330162,0.0003285359,0.000609795,0.000433681,0.0001364958],"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":[0.0003323837,0.00005315165,0.00004520874,0.00007060167,0.00007950605,0.000001757394,0.00005700548,0.009678955,0.9737485,0.004835024,0.004510531,0.006587381],"study_design_scores_gemma":[0.001541531,0.0002127807,0.002675338,0.00002436309,0.00004089027,0.000007032046,0.00004674478,0.0008040378,0.9416752,0.004228475,0.0483085,0.0004351372],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736577,0.00007593047,0.01507025,0.000361731,0.008316151,0.0009109686,0.0004025522,0.0008742127,0.0003305372],"genre_scores_gemma":[0.9630755,0.0001189457,0.02622018,0.0004017049,0.002124913,0.001370866,0.003653626,0.0001466455,0.002887584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04379797,"threshold_uncertainty_score":0.9998759,"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."}}