{"id":"W4207011681","doi":"10.1007/s11356-022-18661-w","title":"Facile access to high-efficiency degradation of tetracycline hydrochloride with structural optimization of TiN","year":2022,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"Huzhou Municipal Science and Technology Bureau; National Natural Science Foundation of China","keywords":"Tin; Tetracycline Hydrochloride; Photodegradation; Materials science; Degradation (telecommunications); Titanium nitride; Scanning electron microscope; Dielectric spectroscopy; Nuclear chemistry; Photocatalysis; Chemical engineering; Catalysis; Chemistry; Tetracycline; Electrochemistry; Nitride; Metallurgy; Nanotechnology; Composite material; Organic chemistry; Electrode; Physical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001404398,0.0003448803,0.0001928454,0.0001044923,0.0001637294,0.0001871693,0.0003576626,0.0002524911,0.001053087],"category_scores_gemma":[0.0001717159,0.0001090243,0.0001576676,0.0001420987,0.0001449731,0.0002184955,0.0002466236,0.0003839621,0.0003373788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003919818,"about_ca_system_score_gemma":0.0003228862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001081404,"about_ca_topic_score_gemma":0.004075892,"domain_scores_codex":[0.9998866,0.00001031187,0.000008680302,0.00002640753,0.00003164415,0.00003630827],"domain_scores_gemma":[0.9999611,0.000006094986,0.00001169833,0.000006030686,0.000009053165,0.000005947474],"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":[0.0001131994,0.00005018781,0.0001279079,0.0001651886,0.000009043662,0.00009585671,0.00005136622,0.0004746498,0.9888804,0.0007548938,0.0003462011,0.008931104],"study_design_scores_gemma":[0.00001050395,0.0001533359,0.0002931399,0.000004162378,0.000005996054,0.0000691848,0.00001518857,0.00166027,0.9944094,0.00005652604,0.003313836,0.000008272747],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9482895,0.002075291,0.02974305,0.0002611314,0.0001192518,0.00009264582,0.0002757103,0.0004231767,0.01872029],"genre_scores_gemma":[0.9888154,0.0008385698,0.007158284,0.0000469708,0.000007425279,0.00002363828,0.0001572049,0.0000428009,0.002909613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001081404,"threshold_uncertainty_score":0.003522933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0259859608460178,"score_gpt":0.3309137794699716,"score_spread":0.3049278186239538,"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."}}