{"id":"W4386365857","doi":"10.55674/jmsae.v12i3.251924","title":"TiO2-UV detection under different types of acids and rinsing process for films preparation","year":2023,"lang":"en","type":"article","venue":"Journal of Materials Science and Applied Energy","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Thammasat University; Innovation, Science and Economic Development Canada","keywords":"Anatase; Titanium dioxide; Hydrochloric acid; Materials science; Ultraviolet; Sol-gel; Photocurrent; Substrate (aquarium); Photoelectric effect; Analytical Chemistry (journal); Transmittance; Chemical engineering; Chemistry; Optoelectronics; Nanotechnology; Chromatography; Photocatalysis; Composite material; Organic chemistry; Catalysis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005852901,0.00005288658,0.0001288139,0.00006992366,0.0001261247,0.00005893079,0.00006968147,0.00002225407,0.000009267123],"category_scores_gemma":[0.00001670775,0.00003719157,0.00001344138,0.0001871562,0.0001472186,0.0001601836,0.00003917152,0.00001469319,6.767065e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002070998,"about_ca_system_score_gemma":0.000009033367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002637865,"about_ca_topic_score_gemma":0.000003255879,"domain_scores_codex":[0.9993327,0.0000116978,0.0002010124,0.0001082859,0.0002458582,0.0001004867],"domain_scores_gemma":[0.9997082,0.00001885435,0.0001608777,0.00004440841,0.00002562604,0.00004206132],"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":[0.00003376569,0.000009740425,0.00009738591,0.00001436959,0.00000422574,9.648787e-8,0.000186867,0.004193797,0.9938176,0.00008546282,0.000009658195,0.001546976],"study_design_scores_gemma":[0.000123472,0.00007260073,0.006057136,0.00001277018,0.00001660573,0.000003409731,0.0002308211,0.0005149216,0.9910731,0.001808643,0.00004022759,0.00004630583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988334,0.000005365135,0.0009366199,0.00003914847,0.0001055713,0.00002485351,0.000001390119,0.000005718171,0.00004797049],"genre_scores_gemma":[0.999738,0.00002609886,0.000121466,0.00000927453,0.00005474215,0.000003354192,5.751772e-7,0.000002921554,0.0000436067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005959751,"threshold_uncertainty_score":0.1516628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02247975161678416,"score_gpt":0.2766624931901175,"score_spread":0.2541827415733334,"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."}}