{"id":"W4414525858","doi":"10.1007/978-3-031-94637-0_12","title":"Interpretable and Extendible AI Models in Manufacturing for Industrial Processes","year":2025,"lang":"en","type":"book-chapter","venue":"Information systems engineering and management","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Interpretability; Retraining; Modular design; Quality (philosophy); Production (economics); Product (mathematics); Process (computing); Deep learning","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":[0.0006179113,0.0008988518,0.0004600556,0.0006723913,0.0004057699,0.002474102,0.001449382,0.001051658,0.0060072],"category_scores_gemma":[0.001996595,0.0006318402,0.001035383,0.0009405176,0.001663566,0.003793475,0.000962278,0.002656317,0.001314691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001244387,"about_ca_system_score_gemma":0.0005170777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002937565,"about_ca_topic_score_gemma":0.003788445,"domain_scores_codex":[0.9995314,0.0001478969,0.00004384279,0.00007426475,0.0001772659,0.00002537184],"domain_scores_gemma":[0.9992641,0.0004972604,0.00003416224,0.0001292803,0.0000602418,0.00001489495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001586162,0.00002061505,0.00007556582,0.0002077823,0.00001367389,0.0001127734,0.0003900192,0.05623654,0.001336861,0.8972389,0.003927244,0.0404241],"study_design_scores_gemma":[0.000006697119,0.00001516674,0.00009648934,0.0001299837,0.00001916969,0.00009105489,0.00007190873,0.1737978,0.001303828,0.7589132,0.06554144,0.00001324541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005173309,0.004211155,0.9229189,0.001595941,0.0002840323,0.00006106639,0.0004468765,0.0008731813,0.06443552],"genre_scores_gemma":[0.2271771,0.006878178,0.7083534,0.0006085557,0.0003476361,0.0002522345,0.001320174,0.0004923468,0.05457033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0060072,"threshold_uncertainty_score":0.02009606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01083938760747693,"score_gpt":0.1869196084794717,"score_spread":0.1760802208719947,"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."}}