{"id":"W4388747345","doi":"10.1002/adfm.202309342","title":"Instant‐in‐Air Liquid Metal Printed Ultrathin Tin Oxide for High‐Performance Ammonia Sensors","year":2023,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Melbourne; RMIT University; Australian Research Council; Cooperative Research Centres, Australian Government Department of Industry; Ontario Ministry of Natural Resources and Forestry","keywords":"Materials science; Tin oxide; Tin; Chemisorption; Substrate (aquarium); Metal; Nanotechnology; Tin dioxide; Detection limit; Adsorption; Oxide; Chemical engineering; Ammonia; Organic chemistry; Metallurgy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002834996,0.0002976951,0.000447052,0.0002258209,0.00009522354,0.00002919158,0.00009795061,0.0001350693,0.00007614888],"category_scores_gemma":[0.0001002613,0.0002918997,0.00005807957,0.0003324375,0.00003948594,0.0002685809,0.00002785394,0.00007726325,0.0002649619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001001897,"about_ca_system_score_gemma":0.00002140551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002501172,"about_ca_topic_score_gemma":0.00001566564,"domain_scores_codex":[0.998312,0.0000415298,0.0005939775,0.0003366985,0.0001980828,0.0005177183],"domain_scores_gemma":[0.9994149,0.0001368023,0.00007999285,0.0002228956,0.00007682872,0.00006864723],"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":[0.0005264326,0.00001432134,0.00003521267,0.0001178798,0.00003167774,0.00001115184,0.00002864545,0.1518711,0.8466825,0.0004932247,0.00009003573,0.00009782714],"study_design_scores_gemma":[0.0009890908,0.0001305793,0.01864642,0.00008009552,0.00001532349,0.00001908831,0.00005354819,0.001030902,0.977052,0.0002036519,0.001441816,0.0003374773],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951978,0.00001612219,0.0001325626,0.0000734233,0.002932939,0.0004654682,0.0001885131,0.0008917697,0.0001013648],"genre_scores_gemma":[0.9967263,0.00008546717,0.002138719,0.00004879729,0.0001873155,0.000109306,0.0002646427,0.00009395114,0.0003454897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1508402,"threshold_uncertainty_score":0.9999533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01225327679725121,"score_gpt":0.206604011893984,"score_spread":0.1943507350967328,"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."}}