{"id":"W3174411514","doi":"10.48336/vs9r-5k42","title":"Fabrication of superhydrophobic-superoleophilic membranes for oil-water separation applications","year":2022,"lang":"en","type":"dissertation","venue":"Memorial University Research Repository (Memorial University)","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland; Suncor Energy Incorporated","keywords":"Contact angle; Materials science; Wetting; Fourier transform infrared spectroscopy; Chemical engineering; Membrane; Alkyl; Coating; Scanning electron microscope; Nanoparticle; Dip-coating; Nanotechnology; Composite material; Organic chemistry; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000157,0.0003920248,0.0002471226,0.0002328384,0.0001587898,0.0001670246,0.0002670183,0.0005341857,0.0006856063],"category_scores_gemma":[0.0001478409,0.0001969224,0.0004068507,0.0001997828,0.00008829997,0.0003193667,0.0002502784,0.0003423032,0.0004138474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002054744,"about_ca_system_score_gemma":0.0001680623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003175267,"about_ca_topic_score_gemma":0.0006853577,"domain_scores_codex":[0.9998968,0.000008286291,0.000009472624,0.000019503,0.00004446498,0.00002155923],"domain_scores_gemma":[0.9999421,0.000009337987,0.00001929457,0.000006582965,0.00001400213,0.000008714012],"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":[0.000007914968,0.000006407542,0.00003556971,0.00004717068,0.000003712534,0.00003283054,0.000006280997,0.00008014291,0.9985331,0.0000445086,0.00002698507,0.001175472],"study_design_scores_gemma":[0.000004510546,0.00007759237,0.0005891941,0.000003654745,0.00000744424,0.0001004761,0.000009684918,0.00108543,0.9967013,0.00002715555,0.00138855,0.000004956905],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584554,0.003465396,0.03337235,0.0001862724,0.00009334639,0.0001325699,0.0004852469,0.0003524375,0.003456898],"genre_scores_gemma":[0.9600878,0.002080697,0.03542926,0.00006667313,0.00001520531,0.0001242536,0.0002688937,0.00002030524,0.001906836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006856063,"threshold_uncertainty_score":0.002293587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03002872029851256,"score_gpt":0.2890739944697471,"score_spread":0.2590452741712346,"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."}}