{"id":"W4407842013","doi":"10.1021/acsanm.4c07207","title":"Hydrogen Sulfide Adsorption Regulation on Indium Oxide Nanosheets via Defect Engineering for Meat Spoilage Detection","year":2025,"lang":"en","type":"article","venue":"ACS Applied Nano Materials","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Science Foundation of Shandong Province; Linyi University; National Natural Science Foundation of China","keywords":"Indium; Hydrogen sulfide; Adsorption; Food spoilage; Oxide; Sulfide; Hydrogen sulfide sensor; Materials science; Chemistry; Chemical engineering; Inorganic chemistry; Nanotechnology; Metallurgy; Bacteria; Biology; Organic chemistry; Sulfur; 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":[0.0000717711,0.0001810245,0.00009805479,0.00008837081,0.00006639562,0.0001487861,0.0002090253,0.0001897715,0.0002189833],"category_scores_gemma":[0.0001404608,0.0001282451,0.0001158159,0.0000685616,0.0001387352,0.0001417382,0.0001129927,0.0001666412,0.00005679081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001953213,"about_ca_system_score_gemma":0.0001127332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004526363,"about_ca_topic_score_gemma":0.001371361,"domain_scores_codex":[0.9999607,0.000004784719,0.000003022428,0.000009719426,0.00001354655,0.000008297267],"domain_scores_gemma":[0.9999391,0.00001484217,0.00001900716,0.000005751886,0.00001317004,0.000008204163],"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":[0.00001286441,0.000006324037,0.000124612,0.00001187593,0.000001450484,0.00001175995,0.000005904221,0.0001094856,0.9993475,0.0000287485,0.000007005687,0.0003325409],"study_design_scores_gemma":[0.000002485679,0.00003610389,0.0006226871,8.393437e-7,0.000002489705,0.00001750881,0.000008930768,0.002074547,0.9970356,0.000009891164,0.00018686,0.000002087174],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978021,0.00006784796,0.001875094,0.0000140715,0.000007799841,0.000005578337,0.00003197352,0.00001871445,0.0001767384],"genre_scores_gemma":[0.9961772,0.00007714468,0.003238888,0.00001177698,0.000001597204,0.000009935161,0.0000446779,0.000006089702,0.0004327128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004526363,"threshold_uncertainty_score":0.00141716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005468383135363815,"score_gpt":0.1861608590290799,"score_spread":0.1806924758937161,"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."}}