{"id":"W4383566795","doi":"10.1016/b978-0-443-15284-9.00009-4","title":"Non-tuned single-layer feed-forward neural network learning machine—coding and implementation","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; Artificial neural network; Artificial intelligence; Coding (social sciences); Machine learning; Process (computing); Mathematics","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":[0.000761461,0.0005743179,0.000588463,0.0002534265,0.0005777082,0.000475503,0.0006254455,0.0002530551,0.0000554226],"category_scores_gemma":[0.000023178,0.0005642161,0.0002132228,0.00006608285,0.00006384114,0.0001762366,0.0008031061,0.0008282788,0.0001427537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007455079,"about_ca_system_score_gemma":0.00005673142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009582492,"about_ca_topic_score_gemma":0.00009292053,"domain_scores_codex":[0.9972417,0.00008920085,0.0005839641,0.0009138454,0.0004977939,0.0006734351],"domain_scores_gemma":[0.9985321,0.0001750703,0.0004503478,0.0005578818,0.00007528765,0.0002093628],"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":[0.000007432518,0.000002869757,0.0002038396,0.00007397216,0.00007421666,0.00004512423,0.0006583934,0.0003861043,0.00003945248,0.005687151,0.0003713361,0.9924501],"study_design_scores_gemma":[0.000934266,0.0004135,0.0005734538,0.0005042438,0.0001360999,0.00007944218,0.00002845216,0.04550973,0.00003531647,0.008936307,0.9415474,0.001301781],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005076439,0.0004960169,0.002954502,0.0006010982,0.001489813,0.0006484665,0.000006342185,0.0008626266,0.9924335],"genre_scores_gemma":[0.02422518,0.00007024683,0.002603902,0.0004784793,0.0008335841,0.00003094415,0.00006049891,0.0001517006,0.9715455],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9911484,"threshold_uncertainty_score":0.9996809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02152571967351767,"score_gpt":0.2661627759182567,"score_spread":0.2446370562447391,"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."}}