{"id":"W3214737668","doi":"10.1080/09593330.2021.2012269","title":"Development of sludge-based activated char sorbent with enhanced hydrophobicity for oil spill cleanup","year":2021,"lang":"en","type":"article","venue":"Environmental Technology","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Concordia University","funders":"","keywords":"Sorbent; Sorption; Motor oil; Waste management; Pyrolysis; Wastewater; Environmental science; Char; Pulp and paper industry; Chemical engineering; Materials science; Chemistry; Adsorption; Environmental engineering; Organic chemistry; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007910169,0.000176818,0.0001941444,0.00006875295,0.0001515909,0.000005309788,0.0001479249,0.0001595092,0.001294135],"category_scores_gemma":[0.00001394188,0.0001677467,0.00005171471,0.000252241,0.000333939,0.0000605598,0.0001163279,0.0001274838,0.0001400501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003581324,"about_ca_system_score_gemma":0.00002344221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000389784,"about_ca_topic_score_gemma":0.00005307165,"domain_scores_codex":[0.9987856,0.00001828596,0.0002671664,0.0004295569,0.0002253463,0.0002740849],"domain_scores_gemma":[0.9994873,0.00001630256,0.0001521985,0.0002801252,0.000003327866,0.00006071656],"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":[0.00005793272,0.0001916405,0.0009797852,0.00001034376,0.0000162085,0.000002819485,0.0000791626,0.0001603759,0.8880305,0.00001490592,0.00001320404,0.1104431],"study_design_scores_gemma":[0.001069176,0.0001782529,0.005465267,0.00001805388,0.00001267019,0.000006923201,0.0003141845,0.00008739522,0.9832398,0.00008123458,0.009323729,0.0002033446],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938523,0.00002014308,0.004539164,0.0002293337,0.00006252844,0.0001616931,0.00002069729,0.0000964442,0.001017744],"genre_scores_gemma":[0.974654,0.00001624805,0.02454257,0.0001330364,0.000007235627,0.0001162498,0.00004938764,0.000023729,0.0004575391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1102398,"threshold_uncertainty_score":0.9996188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005915132932349872,"score_gpt":0.1952005760175106,"score_spread":0.1892854430851608,"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."}}