{"id":"W2996099574","doi":"10.1038/s41893-019-0446-4","title":"Surface-engineered sponges for recovery of crude oil microdroplets from wastewater","year":2019,"lang":"en","type":"article","venue":"Nature Sustainability","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":136,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Wastewater; Adsorption; Chemistry; Surface charge; Pulp and paper industry; Chemical engineering; Chromatography; Environmental science; Organic chemistry; Environmental 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":[],"consensus_categories":[],"category_scores_codex":[0.0008522312,0.0002184567,0.0004294108,0.00005360686,0.00006435375,0.00004499417,0.0003818357,0.000423519,0.0008936358],"category_scores_gemma":[0.0007601793,0.0001849446,0.000179959,0.0001637628,0.0001053109,0.0002124272,0.00008668619,0.0002814674,0.0000511399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000287888,"about_ca_system_score_gemma":0.0002205977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002173505,"about_ca_topic_score_gemma":0.0000200108,"domain_scores_codex":[0.9982358,0.0001582541,0.0004011185,0.0005280949,0.0002849324,0.0003917704],"domain_scores_gemma":[0.9977476,0.0004481016,0.0001160567,0.0008853947,0.0007166781,0.00008615076],"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":[0.0004558654,0.0001259614,0.003454673,0.0003294797,0.00001286243,0.00000105693,0.0006587869,0.000938539,0.9930952,0.0001537364,0.000423698,0.0003501061],"study_design_scores_gemma":[0.0007923347,0.00008670117,0.009389462,0.00001783082,0.00001920411,9.62826e-7,0.001375603,0.0002467384,0.9789066,0.002385397,0.00651238,0.0002667619],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996323,0.0005014951,0.0001085179,0.0009547717,0.0009344633,0.000518052,0.0003799738,0.00008853999,0.0001912118],"genre_scores_gemma":[0.9946746,0.00001001988,0.003119786,0.0001021632,0.00004958362,0.00001782779,0.00006556689,0.00002465466,0.00193585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01418861,"threshold_uncertainty_score":0.9784686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006285713316909708,"score_gpt":0.2438041403649217,"score_spread":0.237518427048012,"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."}}