{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007178597,0.0004680623,0.0005347945,0.0005926791,0.0002097135,0.000216094,0.0003384013,0.0002950477,0.0003410446],"category_scores_gemma":[0.0006549316,0.000294423,0.0003307759,0.0004712689,0.000266874,0.0002807929,0.0001999206,0.0003986282,0.00008628619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001560913,"about_ca_system_score_gemma":0.0001922491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004883806,"about_ca_topic_score_gemma":0.001413058,"domain_scores_codex":[0.9994923,0.00009797789,0.0000646539,0.00005863105,0.0002327979,0.00005357452],"domain_scores_gemma":[0.9992651,0.0003050088,0.0001904173,0.0000404535,0.0001684769,0.00003045918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001180147,0.00004962358,0.0004543682,0.0001354534,0.000005883964,0.00005250535,0.000152653,0.0009643634,0.9913164,0.00005974592,0.000008431243,0.006682483],"study_design_scores_gemma":[0.00001119717,0.001634955,0.003421693,0.00001496501,0.00003432215,0.0002093383,0.0001643648,0.007798157,0.9859911,0.0000625622,0.0006365771,0.00002088456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9324929,0.001847387,0.06475602,0.00002517074,0.00003410719,0.00007614347,0.00004842356,0.00007767409,0.0006421666],"genre_scores_gemma":[0.9060146,0.001237772,0.09195469,0.00001766979,0.000006449734,0.00005503899,0.00004274309,0.00001256209,0.0006583853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007178597,"threshold_uncertainty_score":0.003796458,"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."}}