{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001491006,0.0003481604,0.0003779759,0.0001294898,0.0006205823,0.00009326188,0.0001809207,0.000154493,0.00003850572],"category_scores_gemma":[0.00001590217,0.0003703619,0.00019973,0.0002638599,0.00002834481,0.0001063109,0.0001160463,0.0001472708,0.00005519943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004006856,"about_ca_system_score_gemma":0.00001741969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008260899,"about_ca_topic_score_gemma":0.00004445114,"domain_scores_codex":[0.9984722,0.00003930013,0.0003698976,0.0003879088,0.0002291606,0.0005015845],"domain_scores_gemma":[0.9993312,0.00006834765,0.00007597938,0.0003588608,0.00005220829,0.0001134436],"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":[0.0000824821,0.00003450711,0.00004560379,0.0001008615,0.00004768552,0.0000160809,0.0001587791,0.003926556,0.9917672,0.000007550648,0.002662644,0.001150081],"study_design_scores_gemma":[0.0008197689,0.000112805,0.00054744,0.00001797814,0.00004117022,0.0001787524,0.00004042088,0.003862527,0.9807918,0.00003784272,0.01312983,0.0004196364],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955886,0.0005001474,0.00004561073,0.00007591548,0.00230501,0.0005091563,0.0001089591,0.000735411,0.0001311975],"genre_scores_gemma":[0.9979349,0.00002977844,0.0007142075,0.00008373445,0.0003066577,0.0001463349,0.0001642688,0.0001411887,0.0004788944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01097534,"threshold_uncertainty_score":0.9998748,"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."}}