{"id":"W1669088529","doi":"10.1007/s00170-015-7758-y","title":"Experimental investigation on 3D chip morphology properties of rotary surface during orthogonal turn-milling of aluminum alloy","year":2015,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; University of British Columbia; National Natural Science Foundation of China","keywords":"Alloy; Aluminium; Materials science; Turn (biochemistry); Morphology (biology); Industrial and production engineering; Metallurgy; Chip; Surface (topology); Composite material; Mechanical engineering; Engineering; Geometry; Chemistry; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001682594,0.0001854742,0.0002278023,0.0001528615,0.0003231486,0.0003044905,0.0002649098,0.0003293483,0.001878409],"category_scores_gemma":[0.0004347354,0.0002494584,0.0002127979,0.0002150683,0.0003631974,0.0002877421,0.0001624549,0.0002796148,0.0001841487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002403267,"about_ca_system_score_gemma":0.0001923878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001067503,"about_ca_topic_score_gemma":0.002197793,"domain_scores_codex":[0.9998137,0.00001265565,0.000006546587,0.00004578274,0.00008620674,0.00003510626],"domain_scores_gemma":[0.9995883,0.0001376639,0.00007391519,0.00006079193,0.000123205,0.00001612129],"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":[0.0002216532,0.00003294115,0.001640486,0.00006909219,0.000007308381,0.0001267167,0.0002621622,0.000752074,0.9912454,0.00009438083,0.0001447788,0.00540288],"study_design_scores_gemma":[0.00001375218,0.0004331006,0.03894661,0.000005120566,0.00002402447,0.0001461229,0.0003348436,0.0072103,0.9516836,0.00004743707,0.001129754,0.00002538082],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972945,0.0001246979,0.001601264,0.00001623012,0.000009975944,0.000006985304,0.00008182025,0.00003931455,0.0008251598],"genre_scores_gemma":[0.9988149,0.00003917537,0.000716251,0.000006532865,0.000002358772,0.000004081057,0.00003895252,0.00001007816,0.0003675529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001878409,"threshold_uncertainty_score":0.006283939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01901229918998861,"score_gpt":0.2318068272682515,"score_spread":0.2127945280782629,"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."}}