{"id":"W4400843708","doi":"10.1016/j.cej.2024.154157","title":"Revolutionizing marine Protection: Innovative designs for In-Situ applicable underwater antifouling superoleophobic coatings","year":2024,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Marine Biology and Environmental Chemistry","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Science and Technology Planning Project of Guangdong Province; National Key Research and Development Program of China; Canada Research Chairs; Guangzhou Municipal Science and Technology Project; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Biofouling; Underwater; In situ; Marine industry; Marine engineering; Materials science; Nanotechnology; Environmental science; Engineering; Oceanography; Environmental protection; Chemistry; Geology","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":[0.0001326231,0.0004586991,0.0002171772,0.0001178464,0.0001687324,0.0004860703,0.0004682613,0.0005111183,0.001248718],"category_scores_gemma":[0.0001570307,0.0001862917,0.0002478387,0.00008668313,0.0002197894,0.0005801893,0.0004822403,0.0007746451,0.0004615678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000278805,"about_ca_system_score_gemma":0.0001920296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003376754,"about_ca_topic_score_gemma":0.0009086018,"domain_scores_codex":[0.9998795,0.000007750286,0.000004172648,0.00002013345,0.00005934844,0.00002909287],"domain_scores_gemma":[0.9999385,0.000009565662,0.00001545243,0.000007278845,0.00001900171,0.00001026018],"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":[0.00001039061,0.00001257898,0.00004337939,0.0001032082,0.00000494429,0.00003162615,0.00001953771,0.0002446124,0.9922146,0.0006243348,0.0002035183,0.006487122],"study_design_scores_gemma":[0.000005506997,0.0001310324,0.0002906255,0.000007757791,0.000012835,0.0001278028,0.00003001586,0.004958456,0.9849551,0.0003076307,0.009165044,0.000008182139],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7740339,0.0117572,0.1814044,0.001379653,0.0007122316,0.0001464095,0.0003382261,0.0007814415,0.02944648],"genre_scores_gemma":[0.9411812,0.004666824,0.04439925,0.0004623226,0.000108244,0.00005271387,0.0001651285,0.00007782124,0.00888636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001248718,"threshold_uncertainty_score":0.004177392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01466729609352262,"score_gpt":0.2011041424875002,"score_spread":0.1864368463939775,"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."}}