{"id":"W7083448207","doi":"10.1007/978-3-031-94637-0_9","title":"Distributed Training of Neural Networks in Smart Manufacturing Systems","year":2025,"lang":"en","type":"book-chapter","venue":"Information systems engineering and management","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Scalability; Artificial neural network; Cloud computing; Process (computing); Training (meteorology); Field (mathematics); Synchronization (alternating current); Set (abstract data type); Function (biology)","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":[0.0001873061,0.0001863137,0.0002971756,0.00008986467,0.00002771525,0.00008411772,0.000101665,0.0001456141,0.000002084572],"category_scores_gemma":[0.000003367425,0.0001011232,0.00005455383,0.00005206824,0.000008933583,0.0001243303,0.00006902335,0.0001310575,0.000001013832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005366501,"about_ca_system_score_gemma":0.00000185882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001545638,"about_ca_topic_score_gemma":0.00001920862,"domain_scores_codex":[0.9990587,0.000007102597,0.0005055151,0.0001079487,0.0001596297,0.0001611218],"domain_scores_gemma":[0.9996603,0.00004609373,0.0001697337,0.00005631316,0.00002613199,0.00004147223],"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":[0.00002757813,0.000008705983,0.000145012,0.00306006,0.0002580339,0.00001679732,0.0002168767,0.8202234,0.00001155349,0.1035711,0.000400605,0.07206027],"study_design_scores_gemma":[0.0001913056,0.0000272838,0.002247382,0.001013756,0.00003555178,0.000008312676,0.0003643254,0.8953133,0.000001895793,0.000008129152,0.1005115,0.0002772744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3281898,0.01008143,0.01387084,0.0002568958,0.01133328,0.009066264,0.001536246,0.001519458,0.6241458],"genre_scores_gemma":[0.9945146,0.0002980642,0.00001209576,0.00001530658,0.00006490356,0.00004363846,0.0004503855,0.000001818924,0.004599164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6663249,"threshold_uncertainty_score":0.4123684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009666246274322854,"score_gpt":0.1669003056459636,"score_spread":0.1572340593716408,"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."}}