{"id":"W1692692620","doi":"10.1109/ijcnn.1992.226864","title":"A neural network approach to analyzing multi component mixtures","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Artificial neural network; Sensor fusion; Artificial intelligence; Component (thermodynamics); Computer science; Chemical space; Chemical sensor; Fusion; Machine learning; Biological system; Pattern recognition (psychology); Chemistry","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":[0.0000186003,0.0001290251,0.0001374311,0.00003409245,0.0000307445,0.00001411299,0.0001290825,0.00006732199,0.00001080629],"category_scores_gemma":[0.00004461996,0.0001116978,0.0000373892,0.00024766,0.00001842481,0.00003534522,0.00002618207,0.0001538628,0.00001736027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004047287,"about_ca_system_score_gemma":3.971776e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002385858,"about_ca_topic_score_gemma":0.000001457808,"domain_scores_codex":[0.9993358,0.000006638924,0.0001219813,0.0001528531,0.00006470301,0.0003180728],"domain_scores_gemma":[0.9996933,0.00002749752,0.000008061365,0.0001969989,0.000009635198,0.00006452146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001186101,0.00001419557,0.0002954953,0.000009737585,0.00001385704,0.000001477459,0.00001620522,0.8961717,0.09918302,0.001427957,0.001544102,0.001321077],"study_design_scores_gemma":[0.000406,0.00001866431,0.0005628843,0.00001478833,0.00001507056,0.00001800879,0.0001371693,0.3662993,0.6127023,0.001002899,0.01815808,0.0006648856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5549552,0.0008011591,0.4191151,0.00005169389,0.0001746899,0.0002404161,0.000001327803,0.003102667,0.02155773],"genre_scores_gemma":[0.8121125,0.000007544818,0.1876905,0.000058055,0.00002179593,0.00001217266,0.000001589626,0.00001916263,0.00007668715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5298724,"threshold_uncertainty_score":0.4554902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01840499582402316,"score_gpt":0.2251727942954715,"score_spread":0.2067677984714484,"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."}}