{"id":"W4249573359","doi":"10.32920/14640261.v1","title":"TiO2 Nanofibrous Interface Development For Raman Detection of Environmental Pollutants","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Toronto Metropolitan University","funders":"University of Toronto","keywords":"Raman spectroscopy; Materials science; Porosity; Nanofiber; Bisphenol A; Femtosecond; Nanoparticle; Nanotechnology; Surface-enhanced Raman spectroscopy; Planar; Pollutant; Chemical engineering; Laser; Chemistry; Raman scattering; Composite material; Computer science; Optics; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002613601,0.0002317228,0.0003263634,0.00004785335,0.00009841373,0.00004750527,0.0002560528,0.0001816642,0.0008934871],"category_scores_gemma":[0.00001195908,0.0002198841,0.0001892098,0.0000671693,0.00008389806,0.00006649286,0.0008881277,0.0001390063,0.00005511402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004217245,"about_ca_system_score_gemma":0.00001794965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002732007,"about_ca_topic_score_gemma":0.00004690365,"domain_scores_codex":[0.9983712,0.00006134266,0.0004592102,0.0005378794,0.0003358971,0.0002344952],"domain_scores_gemma":[0.9993403,0.0000259498,0.0002000358,0.000352838,0.00000439201,0.00007651578],"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":[0.00002903765,0.0002024916,0.001620306,0.000115161,0.000185349,0.00000171447,0.001800798,0.00401507,0.9037359,5.256813e-7,0.00002929383,0.08826439],"study_design_scores_gemma":[0.0001699253,0.00003702256,0.01238696,0.00006197138,0.00005977973,0.000002129511,0.0006345641,0.0006328791,0.9845852,0.00004658174,0.00109199,0.0002909442],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9637647,0.00007286639,0.0351724,0.00003490399,0.0003758695,0.0002379132,0.00005586613,0.00003605066,0.00024947],"genre_scores_gemma":[0.9861434,0.00001482533,0.009865561,0.000009029573,0.0000475497,0.00003736522,0.00002242594,0.00002137446,0.003838475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08797345,"threshold_uncertainty_score":0.9783058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01908242900455923,"score_gpt":0.2489475756896074,"score_spread":0.2298651466850482,"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."}}