{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001132737,0.0003081797,0.0001713567,0.0001989023,0.00008817821,0.000295339,0.0004024338,0.0003422085,0.001335172],"category_scores_gemma":[0.0001619596,0.0001839287,0.0001853263,0.0001437332,0.0001408086,0.000282768,0.000245772,0.0002577394,0.0004603487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002088751,"about_ca_system_score_gemma":0.0000942456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001731405,"about_ca_topic_score_gemma":0.0006398698,"domain_scores_codex":[0.9998664,0.00001898396,0.000008258215,0.00002295886,0.00007124274,0.00001217162],"domain_scores_gemma":[0.9999471,0.00001155804,0.00001254819,0.000009384807,0.00001293701,0.00000646572],"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":[0.0000244081,0.00001708132,0.00008133157,0.00006712668,0.000006026508,0.00007239031,0.000007519427,0.0004363006,0.9938419,0.0001746042,0.0001708747,0.005100479],"study_design_scores_gemma":[0.00000553593,0.00008193572,0.0003285092,0.000003142946,0.000006196844,0.00006411513,0.00000613664,0.006182043,0.990689,0.00004209596,0.002584472,0.000006820105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9030157,0.004867639,0.0765039,0.0002727014,0.0005828653,0.0000793178,0.000432136,0.001442418,0.01280317],"genre_scores_gemma":[0.9636862,0.0008490322,0.02999118,0.00005973998,0.00003683711,0.00003144109,0.0001207428,0.00004096755,0.005183715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001335172,"threshold_uncertainty_score":0.004466593,"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."}}