{"id":"W4296009089","doi":"10.1364/ao.472141","title":"Enhanced 2D finite element model and its application in laser cutting of carbon fiber reinforced plastic composites","year":2022,"lang":"en","type":"article","venue":"Applied Optics","topic":"Laser Material Processing Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China","keywords":"Materials science; Composite material; Finite element method; Fibre-reinforced plastic; Carbon fiber reinforced polymer; Heat flux; Stress (linguistics); Thermal conduction; Thermal; Laser; Heat transfer; Optics; Composite number; Structural engineering; Mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001015346,0.0001057464,0.0001435314,0.00007260817,0.00003637725,0.00001160312,0.00009915295,0.00003635414,0.000006034848],"category_scores_gemma":[0.00000784084,0.0001241813,0.000009017986,0.0001259266,0.000009880501,0.0000319564,0.0001112196,0.0001129804,0.00000115943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005960558,"about_ca_system_score_gemma":0.00001015704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004655922,"about_ca_topic_score_gemma":0.000001327658,"domain_scores_codex":[0.9993513,0.000005364435,0.0002536399,0.0001250736,0.0001233868,0.0001412464],"domain_scores_gemma":[0.9997242,0.00006079463,0.00005835687,0.0001179492,0.00001642538,0.00002228744],"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":[0.0000128895,0.000005680016,0.000003179724,0.0001074665,0.000004480115,2.013463e-7,0.0001846227,0.6793566,0.3187934,0.001339891,0.000003301656,0.0001883255],"study_design_scores_gemma":[0.0001552775,0.00001254695,0.000006421853,0.00001034751,0.000007324833,2.140594e-7,0.00002009913,0.6319088,0.3674334,0.0003517827,0.00001106236,0.00008265557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739246,0.00002349697,0.02237325,0.000006107788,0.00002473404,0.0003133131,0.00001339194,0.0002100378,0.003111032],"genre_scores_gemma":[0.9914432,0.00001140719,0.008212259,0.00001363653,0.00001124551,0.0002282591,0.00002825853,0.00002798512,0.00002371595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04864006,"threshold_uncertainty_score":0.5063968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007257425463711908,"score_gpt":0.2059940385304402,"score_spread":0.1987366130667283,"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."}}