{"id":"W3196634600","doi":"10.1016/j.chemosphere.2021.132035","title":"Sustainable chemical processing of flowing wastewater through microwave energy","year":2021,"lang":"en","type":"article","venue":"Chemosphere","topic":"Nanomaterials for catalytic reactions","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Catalysis; Materials science; Methyl orange; Degradation (telecommunications); Chemical engineering; Wastewater; Iron oxide; Microwave; Nanomaterials; Oxide; Sewage treatment; Combustion; Chemistry; Nanotechnology; Metallurgy; Photocatalysis; Environmental engineering; Environmental science; Organic chemistry","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":[0.00004334075,0.0001812009,0.000303284,0.000004691557,0.00006934363,0.0000613763,0.0001756005,0.0001761727,0.001769413],"category_scores_gemma":[0.00007099679,0.0001801767,0.0001336633,0.0001749276,0.00007766605,0.0002418335,0.0001725259,0.00009764671,0.0000132897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001346666,"about_ca_system_score_gemma":0.0002233238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009239302,"about_ca_topic_score_gemma":0.000002732775,"domain_scores_codex":[0.9987549,0.000005691969,0.0003485373,0.0003394633,0.0001698523,0.0003815144],"domain_scores_gemma":[0.9992014,0.00002499383,0.00007823727,0.0004288856,0.0002072166,0.00005931112],"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":[0.00001590663,0.00008857049,0.00005202919,0.0007159459,0.00004002548,0.00008357372,0.000318191,0.000003090016,0.9964551,0.0003294805,0.0007701044,0.001128022],"study_design_scores_gemma":[0.0003814498,0.000002433286,0.000001691523,0.0001132518,0.00004417496,0.00009753562,0.002617266,0.00002912938,0.9772028,0.0009287656,0.01839428,0.0001872373],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9336823,0.0007169062,0.0001759498,0.0001013978,0.00006878965,0.0000221617,0.000006565877,0.00007874441,0.06514721],"genre_scores_gemma":[0.9789529,0.00001400972,0.00315681,0.00003662967,0.0001713001,0.00001508497,0.0001120823,0.00004670192,0.01749444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04765277,"threshold_uncertainty_score":0.9991431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008559736357377343,"score_gpt":0.2195061606694852,"score_spread":0.2109464243121078,"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."}}