{"id":"W2330613568","doi":"10.1166/sl.2010.1334","title":"Nanosensor Device for Breath Acetone Detection","year":2010,"lang":"en","type":"article","venue":"Sensor Letters","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nanosensor; Acetone; Chromatography; Computer science; Materials science; Nanotechnology; Chemistry; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007691859,0.0001898304,0.0001939718,0.0000365674,0.00009702484,0.00002478497,0.0001286614,0.0001669631,0.000120574],"category_scores_gemma":[0.0002917635,0.0001824485,0.0001596009,0.0001162532,0.00006880557,0.00006641021,0.00001783456,0.0003874424,0.0001028906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003197536,"about_ca_system_score_gemma":0.000005269677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000171173,"about_ca_topic_score_gemma":0.00001015977,"domain_scores_codex":[0.9989519,0.00000792495,0.0002064718,0.0003088077,0.000144975,0.0003799585],"domain_scores_gemma":[0.9992763,0.0002004315,0.00004596241,0.0002782735,0.00005093575,0.0001480691],"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":[0.00003782999,0.00001620534,0.00003447411,0.0000446053,0.00003075859,0.000008677467,0.00003764599,0.0002256097,0.9984503,0.00008865401,0.0003202149,0.0007050575],"study_design_scores_gemma":[0.0004260575,0.00001166748,0.00008489237,0.000007820219,0.00004379899,0.00003213516,0.00003366156,0.01447778,0.9656355,0.00001908982,0.01897184,0.0002557373],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877275,0.00000509569,0.008435364,0.002219666,0.0002831091,0.0001438727,0.00001658686,0.0002306445,0.0009382063],"genre_scores_gemma":[0.9931055,0.000001096853,0.003397201,0.001178474,0.0006581619,0.00001460756,0.00001339793,0.00004168891,0.001589827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03281474,"threshold_uncertainty_score":0.7440034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009244076730399507,"score_gpt":0.2289842549003889,"score_spread":0.2197401781699894,"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."}}