{"id":"W4383566650","doi":"10.1016/b978-0-443-15284-9.00001-x","title":"Non-tuned single-layer feed-forward neural network learning machine—concept","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Machine Learning and ELM","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; University of Ottawa","funders":"","keywords":"Extreme learning machine; Computer science; Calculator; Artificial neural network; Artificial intelligence; Machine learning; Algorithm","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007699356,0.0009885093,0.001071155,0.0003082813,0.0006469209,0.0005208703,0.001967641,0.000591232,0.0001430772],"category_scores_gemma":[0.00006646659,0.0009403806,0.0006382591,0.000115906,0.0001563208,0.0001803363,0.001336915,0.001881075,0.001314444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000116148,"about_ca_system_score_gemma":0.000130081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007369716,"about_ca_topic_score_gemma":0.00004034875,"domain_scores_codex":[0.9955537,0.0001492624,0.0008372873,0.001434728,0.0008737772,0.00115125],"domain_scores_gemma":[0.9971551,0.000278204,0.0006291604,0.001416319,0.0001403476,0.0003808695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001178455,0.000008848097,0.00003683029,0.00005362747,0.0001270563,0.0001711733,0.0006657431,0.003858409,0.00001243776,0.005411698,0.001931128,0.9877113],"study_design_scores_gemma":[0.0004862575,0.0003100097,0.00005956881,0.0004474852,0.0000820188,0.00005779008,0.000004702972,0.03334432,0.00001543738,0.006303279,0.9577326,0.001156555],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004354424,0.0008169943,0.001979945,0.0005510862,0.002839027,0.0005073413,0.000006648813,0.001487861,0.9917675],"genre_scores_gemma":[0.006047034,0.00002918081,0.002521988,0.0009143457,0.001838429,0.00003348106,0.00005793039,0.0002647539,0.9882929],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9865547,"threshold_uncertainty_score":0.9994631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01925758660516435,"score_gpt":0.2374958811800568,"score_spread":0.2182382945748924,"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."}}