{"id":"W1981535490","doi":"10.1007/s00170-004-2443-6","title":"Erratum to: State-of-the-art methods and results in tool condition monitoring: a review","year":2004,"lang":"en","type":"review","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":289,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Western University","funders":"","keywords":"Industrial and production engineering; State (computer science); Computer science; State of art; Engineering; Data science; Mechanical engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002721196,0.001635389,0.003439637,0.004892927,0.0007021403,0.002035728,0.002919909,0.00361769,0.009359078],"category_scores_gemma":[0.01431156,0.0006954721,0.0009999736,0.005233715,0.001230417,0.003641228,0.001103009,0.00352354,0.01307654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008804817,"about_ca_system_score_gemma":0.002719471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002692621,"about_ca_topic_score_gemma":0.00517059,"domain_scores_codex":[0.9980203,0.0001839509,0.0005142051,0.0002492961,0.0009442493,0.00008791995],"domain_scores_gemma":[0.9878644,0.004056943,0.001145983,0.0003199594,0.006242229,0.0003704503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002096217,0.00006145881,0.0002403295,0.01436331,0.0001043649,0.0004626254,0.00006820683,0.0001809042,0.001279384,0.001089917,0.6208657,0.3610742],"study_design_scores_gemma":[0.00004037596,0.0001590913,0.00100206,0.003170818,0.0002603696,0.001996853,0.00007691501,0.0001267817,0.001497978,0.0009760953,0.9906271,0.00006564819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002283737,0.8357089,0.001634351,0.01189663,0.1486059,0.00004656945,0.0003422614,0.00007192849,0.001465105],"genre_scores_gemma":[0.00181669,0.9292343,0.003484456,0.0157786,0.03569753,0.0000701109,0.0006442,0.00007863882,0.0131955],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009359078,"threshold_uncertainty_score":0.03130931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01692009322988335,"score_gpt":0.3584605837004269,"score_spread":0.3415404904705436,"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."}}