{"id":"W4283025564","doi":"10.1002/cnma.202200154","title":"TiO<sub>2</sub> Hollow Nanofiber/Polyaniline Nanocomposites for Ammonia Detection at Room Temperature","year":2022,"lang":"en","type":"article","venue":"ChemNanoMat","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Sistema de Laboratórios em Nanotecnologias, Universidade Federal de Viçosa; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Ministério da Ciência, Tecnologia e Inovação; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Nanocomposite; Materials science; Nanofiber; Polyaniline; Electrospinning; Calcination; Anatase; Ammonia; Nanotechnology; Polyaniline nanofibers; Chemical engineering; Heterojunction; Electrode; Nanostructure; Composite material; Polymer; Optoelectronics; Photocatalysis; Chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001161888,0.0003800506,0.0001736501,0.0001759491,0.0001165859,0.0001834843,0.0002194487,0.0002911726,0.0006031044],"category_scores_gemma":[0.0001628848,0.0001554262,0.0001532535,0.00008054233,0.0001848235,0.0003756568,0.0001747415,0.0002081564,0.0002282058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000212058,"about_ca_system_score_gemma":0.00009957095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004193116,"about_ca_topic_score_gemma":0.001052837,"domain_scores_codex":[0.9999057,0.000008520566,0.000004721217,0.00002895507,0.00003867735,0.00001340912],"domain_scores_gemma":[0.99991,0.0000189443,0.00002962244,0.000006447021,0.00002219433,0.00001280282],"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":[0.00001673741,0.000005941814,0.00003056206,0.00001798837,0.000001898627,0.0000135515,0.000003126947,0.00009125904,0.9989286,0.00001730472,0.00001729273,0.0008556115],"study_design_scores_gemma":[0.000003896569,0.00009050611,0.0007256817,0.000001272146,0.000005677954,0.00005109574,0.000005317726,0.003503283,0.9951422,0.00001552566,0.0004517137,0.000003790024],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673351,0.00184102,0.02696227,0.0001181509,0.00008209806,0.00005670432,0.0001004868,0.0006935145,0.002810675],"genre_scores_gemma":[0.982395,0.0003316961,0.01542014,0.00004130288,0.00002325415,0.00002673416,0.00004515369,0.00002825613,0.001688404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006031044,"threshold_uncertainty_score":0.002017617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005056638446312565,"score_gpt":0.1720933980200427,"score_spread":0.1670367595737302,"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."}}