{"id":"W7117152735","doi":"10.3390/app16010208","title":"Hybrid AI Systems for Tool Wear Monitoring in Manufacturing: A Systematic Review","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Interpretability; Hybrid system; Expert system; Sustainability; Tool wear","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":[0.006189478,0.001347002,0.003165898,0.008207892,0.0004559428,0.002491995,0.002234792,0.001632232,0.004502943],"category_scores_gemma":[0.02586019,0.0006885562,0.004080319,0.007053866,0.00079844,0.00248334,0.001339165,0.001016782,0.0006311009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001628175,"about_ca_system_score_gemma":0.007502166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005389831,"about_ca_topic_score_gemma":0.0134473,"domain_scores_codex":[0.9967628,0.00108197,0.0009841279,0.0003202677,0.0007714326,0.00007949885],"domain_scores_gemma":[0.9776106,0.01824415,0.001920166,0.0003697812,0.001698628,0.0001567149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001303363,0.00006121564,0.0008249506,0.5802048,0.003107858,0.0000920948,0.0002938985,0.0009335994,0.0002718326,0.001369057,0.003209216,0.4095012],"study_design_scores_gemma":[0.0001433325,0.0005123519,0.006633878,0.7987202,0.02722224,0.0007643221,0.000627976,0.001541516,0.0006639783,0.003358244,0.1596767,0.0001353026],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003261261,0.9983978,0.0005906586,0.0001632668,0.00005497645,0.00008198595,0.00008780396,0.000009846052,0.0002874347],"genre_scores_gemma":[0.006779482,0.9906267,0.001894355,0.0002324655,0.00005459017,0.0001730699,0.0001414693,0.000006010324,0.00009187478],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008207892,"threshold_uncertainty_score":0.0327335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02032451112018251,"score_gpt":0.2615492008813159,"score_spread":0.2412246897611334,"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."}}