{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002116045,0.0004062306,0.0003207071,0.0003132561,0.0001474538,0.0002811044,0.0006505682,0.000631007,0.001240438],"category_scores_gemma":[0.000369674,0.0001690084,0.0002432788,0.000165523,0.0002477251,0.0005597296,0.0003316449,0.0002410659,0.0005372086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009465116,"about_ca_system_score_gemma":0.000139845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003018979,"about_ca_topic_score_gemma":0.0005499164,"domain_scores_codex":[0.9997622,0.00003495613,0.00000958102,0.0000595726,0.0001155298,0.00001821859],"domain_scores_gemma":[0.9998766,0.00003425406,0.0000143648,0.00001277519,0.00005192369,0.000009916228],"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":[0.0001004609,0.00005640065,0.001399811,0.0001677564,0.00002399614,0.0002601811,0.00002793508,0.0008439081,0.9041485,0.0003499273,0.000444479,0.09217675],"study_design_scores_gemma":[0.00006844414,0.00134444,0.006986164,0.00004539448,0.0001137663,0.002983183,0.00008947595,0.04879413,0.9210378,0.0005703267,0.01788931,0.00007757542],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3733385,0.004020215,0.610131,0.0006683188,0.0005533101,0.000376029,0.0001793273,0.00238457,0.008348692],"genre_scores_gemma":[0.7520316,0.002009996,0.233754,0.0006868918,0.0001466243,0.0001214896,0.0002095203,0.00005207501,0.01098777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001240438,"threshold_uncertainty_score":0.004149675,"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."}}