{"id":"W4391981392","doi":"10.21203/rs.3.rs-3960166/v1","title":"Investigating Drilling Efficiency: A Study on Indexable Centerless Drilling of Ti-6Al-4V Alloy","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Materials science; Tool wear; Delamination (geology); Drilling; Metallurgy; Surface roughness; Titanium alloy; Machining; Abrasion (mechanical); Ultimate tensile strength; Lubrication; Spall; Alloy; Composite material; Geology","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":[0.0004979788,0.0002699065,0.0004609046,0.0004029974,0.0001863537,0.0004090142,0.000403312,0.0004288324,0.0004546257],"category_scores_gemma":[0.001014546,0.0001961666,0.0003287196,0.0003013349,0.0003364519,0.0004285652,0.0002173613,0.0002664065,0.0001196004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001754392,"about_ca_system_score_gemma":0.0001621869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008718311,"about_ca_topic_score_gemma":0.001497677,"domain_scores_codex":[0.9995142,0.00006035903,0.00003547109,0.00009414384,0.0002419361,0.00005392621],"domain_scores_gemma":[0.9991542,0.0001937513,0.0002283788,0.00005754981,0.0003327361,0.00003340267],"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":[0.0003841164,0.0001705915,0.003345951,0.0003207343,0.0000204398,0.0001845709,0.0004423822,0.0006382414,0.9838709,0.00006849333,0.00004718826,0.01050644],"study_design_scores_gemma":[0.00002440372,0.008304572,0.04594634,0.00003347148,0.0001459283,0.0006416569,0.001315493,0.006827409,0.9340943,0.00006502503,0.00254328,0.00005816672],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982809,0.0004110887,0.001040607,0.000006610126,0.000005120664,0.00001404392,0.00002504631,0.000008567161,0.0002079903],"genre_scores_gemma":[0.9961576,0.00040482,0.002927516,0.000008174236,0.00000348536,0.000009182788,0.00005161652,0.0000105935,0.0004271187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008718311,"threshold_uncertainty_score":0.002633631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0610502735423161,"score_gpt":0.3819291186049421,"score_spread":0.320878845062626,"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."}}