{"id":"W3185444790","doi":"10.1149/ma2021-01561524mtgabs","title":"Printed in<sub>2</sub>O<sub>3</sub>-Based Sensors with ppb H<sub>2</sub>s Sensing at Room Temperature for Healthcare and Food Industry Applications","year":2021,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Hydrogen sulfide; Detection limit; Odor; Flammable liquid; Annealing (glass); Nanotechnology; Parts-per notation; Environmental science; Sulfur; Computer science; Materials science; Process engineering; Chemistry; Engineering; Organic chemistry; Metallurgy","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":[0.0001389939,0.0006010595,0.000332965,0.0002631229,0.0002330632,0.0007592295,0.0005830106,0.001394599,0.01198876],"category_scores_gemma":[0.0004185424,0.0004914515,0.0003616409,0.00028433,0.0003819879,0.0006506829,0.0004009781,0.0008785848,0.006196451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000329127,"about_ca_system_score_gemma":0.0001783429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004172664,"about_ca_topic_score_gemma":0.001073445,"domain_scores_codex":[0.9997069,0.00001879223,0.00001428626,0.00008044706,0.000147622,0.00003189005],"domain_scores_gemma":[0.999765,0.00004181175,0.00006111253,0.00003847914,0.00006699032,0.00002665804],"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":[0.0001023586,0.00002651955,0.0002343667,0.0002773732,0.00001700049,0.0004024909,0.00005554277,0.0005191038,0.9760211,0.0005941485,0.004510233,0.01723973],"study_design_scores_gemma":[0.00001143328,0.0001684908,0.0024576,0.00002185176,0.00002687287,0.0005277033,0.00007172745,0.002912982,0.960585,0.0003356019,0.03284652,0.0000341065],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5927894,0.01245253,0.1783074,0.003946996,0.009388789,0.0003860737,0.003089188,0.02070851,0.1789313],"genre_scores_gemma":[0.7790833,0.003530584,0.05956274,0.002906081,0.0003594341,0.0002040354,0.001407595,0.001281057,0.1516652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01198876,"threshold_uncertainty_score":0.04010642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102138988631824,"score_gpt":0.2183621924087312,"score_spread":0.2081482935455488,"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."}}