{"id":"W4210242691","doi":"10.1007/s10845-022-01913-4","title":"Autonomous self-healing mechanism for a CNC milling machine based on pattern recognition","year":2022,"lang":"en","type":"article","venue":"Journal of Intelligent Manufacturing","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Mitacs","keywords":"Mechanism (biology); Manufacturing engineering; Production (economics); Computer science; Engineering; Artificial intelligence; Engineering drawing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001633287,0.0002313961,0.0003399054,0.0002812578,0.0004474393,0.0003357886,0.001068907,0.0005200967,0.0016077],"category_scores_gemma":[0.0002496668,0.0001805666,0.000200123,0.0001609241,0.0003097222,0.0003659731,0.0003429331,0.0002413913,0.0002379404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002115051,"about_ca_system_score_gemma":0.0004322158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006767674,"about_ca_topic_score_gemma":0.0007844891,"domain_scores_codex":[0.9998419,0.000009092473,0.000008220753,0.00004213706,0.00008038008,0.00001829767],"domain_scores_gemma":[0.999806,0.0000311258,0.0000379393,0.0000395313,0.00006444405,0.00002097562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003893718,0.0001724525,0.001295044,0.0001336013,0.00003444542,0.0003754706,0.0001412347,0.02507221,0.8250022,0.004970519,0.001641425,0.1407721],"study_design_scores_gemma":[0.0000687711,0.0004892307,0.003525225,0.00001416541,0.00004213478,0.000493326,0.00003994692,0.8057076,0.1820803,0.001687505,0.005802535,0.00004930854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3821145,0.0004783598,0.6027936,0.000390667,0.000385126,0.0001979976,0.00005730226,0.00288308,0.01069939],"genre_scores_gemma":[0.946979,0.00005565133,0.04969534,0.00005140363,0.00001533791,0.00004916625,0.00002313428,0.00001756501,0.003113448],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0016077,"threshold_uncertainty_score":0.005378246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01591198603505117,"score_gpt":0.2322593279683661,"score_spread":0.216347341933315,"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."}}