{"id":"W4281488640","doi":"10.1016/j.jhazmat.2022.129228","title":"Development of a calcium alginate-cellulose nanocrystal-based coating to reduce the impact of oil spills on shorelines","year":2022,"lang":"en","type":"article","venue":"Journal of Hazardous Materials","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina; Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Coating; Shore; Oil spill; Seawater; Calcium alginate; Cellulose; Silicone oil; Environmental science; Superhydrophobic coating; Chemical engineering; Materials science; Environmental engineering; Metallurgy; Calcium; Geology; Composite material; Oceanography","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":[0.0001026885,0.0002951253,0.0002089271,0.0002273768,0.0001473854,0.0002850197,0.0002757977,0.0003777268,0.0005092104],"category_scores_gemma":[0.0001706212,0.000154306,0.0003516921,0.0001346472,0.0001141803,0.0001853692,0.0001842216,0.0003612965,0.0001674657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003498674,"about_ca_system_score_gemma":0.0004179175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004923356,"about_ca_topic_score_gemma":0.007805664,"domain_scores_codex":[0.9998902,0.000005899174,0.000006477282,0.00002292984,0.00004886976,0.00002559217],"domain_scores_gemma":[0.9998651,0.000009501147,0.00004137246,0.000007545954,0.00004901196,0.0000275652],"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":[0.00002409365,0.00001960231,0.00009965096,0.00003611236,0.000005641687,0.00002813235,0.000004947522,0.0001739748,0.9962399,0.0000433238,0.0000519177,0.00327257],"study_design_scores_gemma":[0.000007683681,0.0001566115,0.0009963725,0.000004140717,0.00002267512,0.00006743542,0.000009509106,0.002987608,0.9942265,0.000005770788,0.001508666,0.00000710743],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729713,0.002440549,0.02005382,0.0002131249,0.0001400603,0.00008290166,0.0001314655,0.0002347179,0.003732101],"genre_scores_gemma":[0.9789259,0.001348904,0.01589477,0.0001286042,0.00001084907,0.00002453584,0.00008806783,0.00002646907,0.003551854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004923356,"threshold_uncertainty_score":0.009789348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02046197738177526,"score_gpt":0.282763505218202,"score_spread":0.2623015278364267,"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."}}