{"id":"W1588680921","doi":"10.1006/bioe.2002.0064","title":"AE—Automation and Emerging Technologies","year":2002,"lang":"en","type":"article","venue":"Biosystems Engineering","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Artificial neural network; Artificial intelligence; Pattern recognition (psychology); Probabilistic neural network; Backpropagation; Computer science; Automation; Probabilistic logic; Standard deviation; Network architecture; Mathematics; Statistics; Engineering; Time delay neural network","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0000315448,0.0001015152,0.0001294467,0.000144874,0.00004015185,0.00003284176,0.00007731817,0.00008838886,0.0001253363],"category_scores_gemma":[0.00007008715,0.00009766153,0.00002575064,0.0002703193,0.00000957792,0.00007422981,0.00002796039,0.00007944718,0.00001607942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003814929,"about_ca_system_score_gemma":9.976956e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008304785,"about_ca_topic_score_gemma":3.047022e-7,"domain_scores_codex":[0.99949,0.00000111016,0.0001331675,0.0001402669,0.00008202306,0.0001534037],"domain_scores_gemma":[0.9997631,0.00002428645,0.00003583506,0.0001420521,0.00001177521,0.00002293519],"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":[7.130864e-7,0.00001901093,0.003202442,0.0006420243,0.00008118441,0.000008504385,0.0001818791,0.0001818977,0.9900555,0.000880632,0.0004721796,0.00427406],"study_design_scores_gemma":[0.0002206483,0.000009619403,0.0001649,0.0001032049,0.00005666304,0.00005197224,0.0008551761,0.0894578,0.8967515,0.000008505933,0.01198945,0.0003305968],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785933,0.01110889,0.001626959,0.0001724075,0.0001069559,0.00004335499,0.000004578411,0.001989777,0.006353702],"genre_scores_gemma":[0.9989126,0.0001414962,0.0004269036,0.00000208351,0.00005511558,0.00000953919,0.000001411659,0.00001309417,0.0004377025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09330401,"threshold_uncertainty_score":0.3982522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009634405340607806,"score_gpt":0.2024086528939183,"score_spread":0.1927742475533105,"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."}}