{"id":"W4403491383","doi":"10.1002/cjce.25523","title":"Microfluidic solvent extraction of phenol from wastewater containing phenolic compounds in a circle capillary microreactor","year":2024,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Xi'an University of Architecture and Technology","keywords":"Microreactor; Phenol; Extraction (chemistry); Wastewater; Chromatography; Capillary action; Solvent extraction; Solvent; Chemistry; Microfluidics; Phenol extraction; Organic chemistry; Materials science; Nanotechnology; Environmental science; Environmental engineering","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":[0.0005035604,0.0005390494,0.000518405,0.0003427445,0.0002495281,0.0003477434,0.0005186729,0.0005045016,0.0005286316],"category_scores_gemma":[0.0003935795,0.0003150026,0.0003955116,0.0002673908,0.0002751765,0.000363907,0.0002600979,0.0002797295,0.000271331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005113676,"about_ca_system_score_gemma":0.0006461251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001051109,"about_ca_topic_score_gemma":0.001790024,"domain_scores_codex":[0.9995548,0.00006043705,0.00003032076,0.0001634272,0.0001228318,0.00006819492],"domain_scores_gemma":[0.9997692,0.00008952407,0.00005016349,0.00001568043,0.00005138087,0.00002407831],"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":[0.00003948521,0.00001108993,0.00007632808,0.00004837695,0.000004023375,0.00002117831,0.00001415067,0.0001384874,0.9976227,0.00006188934,0.00003666148,0.001925704],"study_design_scores_gemma":[0.00001462061,0.0001932804,0.0008602495,0.000003281589,0.00001324972,0.00007681105,0.00000833801,0.004849941,0.9930085,0.00002484456,0.0009303999,0.00001644993],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.911694,0.00226415,0.08302826,0.0002410254,0.0001576531,0.0002024592,0.000418075,0.0009607241,0.001033537],"genre_scores_gemma":[0.9004567,0.001168502,0.09521424,0.0001633042,0.00004864622,0.0002282937,0.0002268716,0.00003657362,0.002456877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001051109,"threshold_uncertainty_score":0.00371021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009988727456695,"score_gpt":0.2106538944602433,"score_spread":0.2005540071856764,"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."}}