{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001634876,0.0002895979,0.0003180793,0.0003355634,0.0003066881,0.0003340034,0.0006157148,0.0007373752,0.003272066],"category_scores_gemma":[0.0003817714,0.0002120913,0.0002423287,0.0001959478,0.0001462431,0.000526245,0.0003300376,0.0003824301,0.001087088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004724226,"about_ca_system_score_gemma":0.0002378463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002616265,"about_ca_topic_score_gemma":0.0007411346,"domain_scores_codex":[0.9996787,0.00002689177,0.000015938,0.00008714962,0.0001693199,0.00002197821],"domain_scores_gemma":[0.9998241,0.00004888032,0.00001677405,0.00001537957,0.0000788973,0.00001592584],"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":[0.0001370644,0.00005645402,0.0002335573,0.0001475584,0.00002147597,0.000138433,0.00002987852,0.0001763214,0.9650943,0.0009750387,0.004327731,0.0286623],"study_design_scores_gemma":[0.0000402152,0.0004094036,0.001358708,0.00002082111,0.00004249455,0.0005227745,0.00003365676,0.006045938,0.952401,0.000401788,0.03869215,0.00003117534],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4688266,0.02598777,0.4355122,0.006180071,0.006573258,0.0009257203,0.004153644,0.003365615,0.04847498],"genre_scores_gemma":[0.8192333,0.00410464,0.1316201,0.003234144,0.0004311141,0.0004241203,0.0008393108,0.00009815687,0.04001517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003272066,"threshold_uncertainty_score":0.01094609,"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."}}