{"id":"W4391446764","doi":"10.1002/cjce.25188","title":"Assessing the efficacy of three bio‐based flocculants in the reclamation of spent lubricating oil","year":2024,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Coagulation and Flocculation Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flocculation; Xanthan gum; Pulp and paper industry; Chemistry; Starch; Mixing (physics); Solvent; Chromatography; Waste management; Chemical engineering; Materials science; Food science; Organic chemistry; Rheology; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003603115,0.000466333,0.0003922484,0.0003318248,0.0001856613,0.000326052,0.0002198052,0.0003477094,0.000316054],"category_scores_gemma":[0.0005499602,0.0001195123,0.0003698836,0.000223859,0.0001906182,0.0002492824,0.0002219715,0.000307417,0.00008950088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002123823,"about_ca_system_score_gemma":0.000290629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001044668,"about_ca_topic_score_gemma":0.001870037,"domain_scores_codex":[0.999731,0.00006270903,0.00002768007,0.00002906446,0.000100222,0.00004935541],"domain_scores_gemma":[0.9997496,0.00004826581,0.00007345569,0.00001322193,0.00006831301,0.00004725937],"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":[0.0001756091,0.00006188871,0.0001840584,0.00008432506,0.000009090559,0.00001813093,0.000023557,0.00013572,0.9972461,0.00001595309,0.000007353192,0.002038282],"study_design_scores_gemma":[0.000004648919,0.00077008,0.001163368,0.000008136069,0.00002203775,0.00001653488,0.00001946468,0.0002878759,0.9974957,0.000003576774,0.0002047446,0.000003817418],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984321,0.000677734,0.0006056041,0.00001224708,0.000008026494,0.00001509582,0.00002948422,0.00001314572,0.000206583],"genre_scores_gemma":[0.9971251,0.0006156042,0.001692167,0.00001234393,0.000003682004,0.00001526224,0.00006612792,0.000007294339,0.0004624305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001044668,"threshold_uncertainty_score":0.002077222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0310097021365212,"score_gpt":0.2604819286862011,"score_spread":0.2294722265496799,"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."}}