{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008007304,0.001048643,0.0008923826,0.001804837,0.0005714766,0.001496862,0.001240204,0.00139809,0.002900121],"category_scores_gemma":[0.002003763,0.0006224061,0.001090496,0.001557475,0.0008819565,0.001841097,0.001086672,0.001492269,0.0008087334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009440617,"about_ca_system_score_gemma":0.0006988532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005466715,"about_ca_topic_score_gemma":0.004060805,"domain_scores_codex":[0.9994739,0.0001450742,0.0000355562,0.0001220498,0.0001813976,0.0000421983],"domain_scores_gemma":[0.9995403,0.0002351341,0.00004824462,0.00004210619,0.0001159309,0.00001824025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007657848,0.00005379739,0.0006475094,0.0001598877,0.0001436704,0.0001357048,0.00006545583,0.7972752,0.007812909,0.0369992,0.001608745,0.1550214],"study_design_scores_gemma":[0.000002767467,0.000008096703,0.0001137602,0.000007799335,0.00001087434,0.00002660905,0.000005940987,0.9834744,0.001077798,0.01369862,0.001563681,0.000009653047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001501601,0.0005851663,0.9962578,0.00009060921,0.00003023464,0.00001972882,0.00004809682,0.0002994069,0.001167465],"genre_scores_gemma":[0.182872,0.002273611,0.8050847,0.0002069641,0.0002531626,0.0002389184,0.0004106618,0.0002002949,0.008459644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005466715,"threshold_uncertainty_score":0.0108698,"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."}}