{"id":"W4412906543","doi":"10.1007/978-3-031-94889-3_12","title":"Overall Equipment Effectiveness Modelling and Assessment of Additive Manufacturing Printing Machines","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in mechanical engineering","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Manufacturing engineering; Computer science; Process engineering; Engineering","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":[0.0006670274,0.0006499416,0.0008458654,0.0008561112,0.000246913,0.001076711,0.001084928,0.0008486668,0.002716718],"category_scores_gemma":[0.001224797,0.0003376659,0.0007890693,0.0006752051,0.0002873769,0.000793672,0.0004264088,0.0003172198,0.0005087818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007765046,"about_ca_system_score_gemma":0.0003561601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002594423,"about_ca_topic_score_gemma":0.001977504,"domain_scores_codex":[0.999542,0.0001148914,0.00002125464,0.00005289858,0.0002163588,0.00005268099],"domain_scores_gemma":[0.9991851,0.0005122048,0.00006407047,0.0000749309,0.000147514,0.00001612498],"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":[0.0001578295,0.0000461864,0.0009842593,0.00009867504,0.00001863979,0.00003521875,0.00001946037,0.9611709,0.007847952,0.0008849857,0.0001548115,0.02858121],"study_design_scores_gemma":[0.000006383924,0.0002326905,0.003208613,0.000009115085,0.00004015467,0.00003000659,0.00002090136,0.9857814,0.009663707,0.0005724235,0.000426353,0.000008246283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.588026,0.002028035,0.3724796,0.0001194215,0.00003743277,0.0001785145,0.0006228633,0.000786297,0.03572182],"genre_scores_gemma":[0.9878579,0.0002529627,0.009123884,0.00000652126,0.000005138526,0.00003082769,0.0001198491,0.00003535625,0.00256756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002716718,"threshold_uncertainty_score":0.009088337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008054635721575575,"score_gpt":0.2232844999593636,"score_spread":0.215229864237788,"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."}}