{"id":"W2589741380","doi":"","title":"Delamination Studies in Drilling of GFRP Composites by using Taguchi Method","year":2013,"lang":"en","type":"article","venue":"Mechanical Engineering Research","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Delamination (geology); Fibre-reinforced plastic; Drilling; Taguchi methods; Materials science; Orthogonal array; Composite number; Composite material; Drill; Machining; Glass fiber; Composite laminates; Fiber pull-out; Structural engineering; Engineering; Geology; Metallurgy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006519275,0.0001183073,0.0002252565,0.0002586135,0.00003928347,0.00002166246,0.0001384576,0.0000820995,0.00001360487],"category_scores_gemma":[0.0003897824,0.0001192681,0.00002619019,0.0005738527,0.00002059141,0.0002059168,0.0000660545,0.0003489623,0.000003415282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001301478,"about_ca_system_score_gemma":0.00000822174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003408363,"about_ca_topic_score_gemma":0.000002056672,"domain_scores_codex":[0.998899,0.00004082155,0.0002890704,0.0001657759,0.0002801134,0.0003252367],"domain_scores_gemma":[0.9991305,0.0004774861,0.00002040542,0.0001226255,0.0001950765,0.00005386484],"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":[0.00000177859,0.00001164546,0.00001051918,0.0002204565,0.00001539704,7.712743e-7,0.0001267206,0.7815573,0.2142504,0.0006829354,0.00002245667,0.00309967],"study_design_scores_gemma":[0.0001435996,0.00002957918,0.00001324228,0.0001486884,0.000003141548,0.000001847621,0.0001117897,0.9002482,0.09853064,0.0006279679,0.00003829419,0.0001029781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1367394,0.001681721,0.8610948,0.0000218558,0.0001041872,0.0002043619,0.000002233206,0.0001129629,0.00003845859],"genre_scores_gemma":[0.8310075,0.0002796245,0.1686003,0.00000223404,0.00001986168,0.00003457572,0.000005823953,0.00003611382,0.00001389585],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6942682,"threshold_uncertainty_score":0.4863612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07742232413375418,"score_gpt":0.4034607656444386,"score_spread":0.3260384415106845,"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."}}