{"id":"W2490727153","doi":"10.4018/978-1-61520-915-6.ch004","title":"Noise and Repeatability of Odorant Gas Sensors in an E-Nose","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Repeatability; Electronic nose; Noise (video); Acoustics; Computer science; Artificial intelligence; Mathematics; Statistics; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00003597101,0.0003599757,0.000542753,0.00004820624,0.00001151749,0.000007448398,0.0002201644,0.0005316141,0.00001476452],"category_scores_gemma":[0.0000548502,0.0003658454,0.00007337322,0.00001669881,0.0002242204,0.00004654129,0.0001089697,0.0003666637,0.000007430378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001709628,"about_ca_system_score_gemma":0.000007131058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004582737,"about_ca_topic_score_gemma":0.0001039674,"domain_scores_codex":[0.998786,0.000006102831,0.0004168101,0.0003845997,0.0001405299,0.0002659387],"domain_scores_gemma":[0.9990513,0.0000273096,0.00008258735,0.0006858582,0.00004222897,0.0001107725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002216504,0.00005228676,0.00157333,0.0009689513,0.0001372259,0.0003653955,0.0003371274,0.0006737483,0.035563,0.9054694,0.00009370076,0.05454414],"study_design_scores_gemma":[0.0005631,0.0001378514,0.0005212803,0.0003886616,0.00006216714,0.00004819219,0.00004269753,0.000178803,0.08024069,0.9147742,0.002072389,0.0009700082],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4684989,0.0004331921,0.00002130664,0.000004142393,0.00007200384,0.0002447893,0.0001445069,0.0005607262,0.5300204],"genre_scores_gemma":[0.9981415,0.00004512538,0.0009831768,0.000008273729,0.00002256129,0.000005352828,0.000002839329,0.00004991954,0.0007412488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5296426,"threshold_uncertainty_score":0.9998794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01757904066089939,"score_gpt":0.2255927856371464,"score_spread":0.208013744976247,"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."}}