{"id":"W4387463044","doi":"10.1016/j.mfglet.2023.08.088","title":"Nonlinearity and periodicity in machining carbon fiber reinforced polymer","year":2023,"lang":"en","type":"article","venue":"Manufacturing Letters","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chip formation; Materials science; Machining; Carbon fiber reinforced polymer; Chip; Rake; Composite material; Drilling; Fiber; Nonlinear system; Fibre-reinforced plastic; Polymer; Orientation (vector space); Tool wear; Mechanical engineering; Computer science; Geometry; Metallurgy; Reinforced concrete; Engineering; Physics; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007556342,0.0001307051,0.0001251651,0.0001472214,0.00005193798,0.00003765208,0.00006077453,0.00004668515,0.00001624924],"category_scores_gemma":[0.00000953214,0.0001388032,0.00001809626,0.0001106989,0.00002233679,0.0001086871,0.00004191071,0.0002067066,0.00001126841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003280735,"about_ca_system_score_gemma":0.000002847767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001159844,"about_ca_topic_score_gemma":0.00001119644,"domain_scores_codex":[0.9993576,0.000006692586,0.0001434517,0.0001581591,0.00008629887,0.0002477484],"domain_scores_gemma":[0.9998015,0.00003220388,0.00001903107,0.0001034439,0.000002742288,0.00004115166],"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":[0.000007650703,0.000001191647,0.001107126,0.0001029385,0.000008329906,0.00002118277,0.0006458467,0.9834295,0.002883872,0.000002981317,0.00003338503,0.011756],"study_design_scores_gemma":[0.0009696187,0.00001969379,0.04739739,0.0001276888,0.00001576578,0.00001289996,0.0001159245,0.8315841,0.1179837,0.00002891764,0.001036888,0.0007073687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974336,0.00005795749,0.001085049,0.0002520562,0.0001104273,0.00006516872,0.000002951509,0.0004524989,0.0005402774],"genre_scores_gemma":[0.9988014,0.00003715467,0.0006637928,0.0002212448,0.0000520922,0.000008558328,0.00002354272,0.00003192006,0.0001603057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1518454,"threshold_uncertainty_score":0.5660229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006575202185351279,"score_gpt":0.2048211280769427,"score_spread":0.1982459258915914,"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."}}