{"id":"W2806979558","doi":"10.5004/dwt.2018.22207","title":"Superhydrophilicity and underwater superoleophobicity graphene oxide-micro crystalline cellulose complex-based mesh applied for efficient oil/water separation","year":2018,"lang":"en","type":"article","venue":"Desalination and Water Treatment","topic":"Electrohydrodynamics and Fluid Dynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Superhydrophilicity; Microcrystalline cellulose; Underwater; Graphene; Materials science; Microcrystalline; Oxide; Chemical engineering; Deck; Cellulose; Nanotechnology; Composite material; Chemistry; Wetting; Geology; Engineering; Oceanography; Metallurgy; Crystallography","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":[0.0001307255,0.0002850434,0.0002403229,0.0001412574,0.0001892411,0.00008946458,0.00004819441,0.0001085296,0.00002057716],"category_scores_gemma":[7.641655e-7,0.000188447,0.00005962904,0.00005434974,0.00009306513,0.00006231864,0.0000183551,0.00004541005,0.00001004911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001603139,"about_ca_system_score_gemma":0.000006382441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004525792,"about_ca_topic_score_gemma":0.00009230937,"domain_scores_codex":[0.9989064,0.00002055713,0.0002710148,0.0003262594,0.0001095886,0.0003662053],"domain_scores_gemma":[0.9996303,0.0000191549,0.00001501278,0.0001576732,0.00008118623,0.00009669264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001061312,0.0001807255,0.0001014961,0.00007563107,0.00008792013,0.000001685036,0.000824578,0.01470522,0.9820156,0.001298032,0.00001957374,0.0005834841],"study_design_scores_gemma":[0.001340626,0.0001921737,0.0002014628,0.00000400031,0.00004646771,0.000002707898,0.000007158935,0.5578012,0.4393164,0.0003205064,0.0005885733,0.0001787246],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9323837,0.0000272229,0.0665906,0.0002701615,0.00005489777,0.0003563951,0.00005040956,0.0001380251,0.0001285626],"genre_scores_gemma":[0.9963778,0.0000458955,0.002007079,0.0001262561,0.00005404689,0.0001076616,0.001108386,0.0000416451,0.0001311777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5430959,"threshold_uncertainty_score":0.7684646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01059762164711088,"score_gpt":0.2235838616673269,"score_spread":0.212986240020216,"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."}}