{"id":"W2009403771","doi":"10.4015/s1016237209001568","title":"RECOGNITION OF VOLATILE ORGANIC COMPOUNDS UTILIZING A PORTABLE ELECTRONIC NOSE","year":2009,"lang":"en","type":"article","venue":"Biomedical Engineering Applications Basis and Communications","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Taiwan University","keywords":"Electronic nose; Microcontroller; Sensor array; Embedded system; Sensitivity (control systems); Computer hardware; Computer science; Materials science; Chemistry; Engineering; Artificial intelligence; Electronic engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005733479,0.0001369427,0.0001887381,0.0001358609,0.00008400778,0.00001392186,0.000405967,0.0001226182,0.00001719091],"category_scores_gemma":[0.00004652442,0.0001488517,0.0000391948,0.0006441766,0.0001200128,0.00007711367,0.00006483293,0.0002803878,0.000009239287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007269962,"about_ca_system_score_gemma":0.000009876075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003668539,"about_ca_topic_score_gemma":0.000001945148,"domain_scores_codex":[0.9991794,0.000006073195,0.0003220907,0.0001441688,0.0001089413,0.0002392842],"domain_scores_gemma":[0.9989499,0.0001178882,0.00004590352,0.000754458,0.00004928529,0.00008249462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002482002,0.0001952664,0.00003450056,0.00007341173,0.00005363637,1.980164e-7,0.00005824583,0.000368514,0.8532754,0.01242845,0.000344045,0.1331659],"study_design_scores_gemma":[0.001236841,0.000263267,0.003410773,0.0003104716,0.0002175765,0.00006870567,0.0004592934,0.3524057,0.2016417,0.02290565,0.4156316,0.001448442],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5243303,0.01697165,0.4413351,0.003522609,0.00008689934,0.00146971,0.0002420363,0.005637264,0.006404404],"genre_scores_gemma":[0.9771707,0.002240607,0.02025064,0.00002001526,0.0000176664,0.0001232938,0.0001484668,0.0000201589,0.00000845557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6516337,"threshold_uncertainty_score":0.6069996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028088010967673,"score_gpt":0.2199383721512845,"score_spread":0.2096574920416078,"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."}}