{"id":"W4412834080","doi":"10.2139/ssrn.5369733","title":"Advanced Treatment of Sugarcane Vinasse Via Hybrid Photocatalytic Sequencing Batch Biofilm Reactor (Hp-Sbbr): A Combined Physicochemical and Biological Approach","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Vinasse; Biofilm; Photocatalysis; Pulp and paper industry; Sequencing batch reactor; Chemistry; Bioreactor; Waste management; Environmental science; Food science; Wastewater; Environmental engineering; Biology; Catalysis; Bacteria; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002074461,0.0006341007,0.0006656176,0.0002434317,0.0002689773,0.0007014036,0.000318447,0.0006263144,0.0005712547],"category_scores_gemma":[0.0001155277,0.0002079672,0.0005798341,0.0003036162,0.0002107868,0.000458465,0.0004391025,0.0009197959,0.0002039766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003526387,"about_ca_system_score_gemma":0.0005083617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00407076,"about_ca_topic_score_gemma":0.005538673,"domain_scores_codex":[0.9998416,0.00001209075,0.000009822298,0.00003860706,0.00006018282,0.00003769842],"domain_scores_gemma":[0.9999589,0.000005483788,0.000005574158,0.00000373687,0.00001505956,0.00001133151],"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":[0.00004821801,0.00002579863,0.00006368286,0.0000620607,0.00001246148,0.00003166097,0.00001793118,0.0002772747,0.9967032,0.00004563578,0.00002186728,0.00269014],"study_design_scores_gemma":[0.000006763033,0.0001145629,0.0009213135,0.00000398022,0.00002497279,0.0000395803,0.00002778012,0.001439704,0.9965558,0.00003825833,0.0008179954,0.000009221824],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846371,0.002160433,0.01135844,0.0001112247,0.00008501347,0.00005518353,0.0003027272,0.00008616969,0.001203684],"genre_scores_gemma":[0.9867715,0.001546986,0.008837638,0.00005457457,0.00002336523,0.00003178847,0.0002273307,0.000022567,0.002484139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00407076,"threshold_uncertainty_score":0.008094132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0130233440408273,"score_gpt":0.2336523629706849,"score_spread":0.2206290189298576,"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."}}