{"id":"W2991366373","doi":"10.1007/s00170-019-04550-z","title":"Environmentally conscious machining of Inconel 718: surface roughness, tool wear, and material removal rate assessment","year":2019,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inconel; Machining; Surface roughness; Metallurgy; Materials science; Surface finish; Tool wear; Industrial and production engineering; Mechanical engineering; Composite material; Engineering; Alloy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000220754,0.0001413827,0.0002320346,0.0001293938,0.00003604332,0.00002792712,0.0004248204,0.00007523366,0.00005061649],"category_scores_gemma":[0.00002381604,0.0001131457,0.0000373797,0.00004169138,0.00008901476,0.0002708776,0.0001589991,0.0002945806,0.000002245505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001041976,"about_ca_system_score_gemma":0.00002293612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002576055,"about_ca_topic_score_gemma":0.000001492457,"domain_scores_codex":[0.9991122,0.00001570069,0.0004078326,0.000116106,0.0002083282,0.0001398081],"domain_scores_gemma":[0.9993817,0.00008046081,0.0003224834,0.0001443429,0.00005108722,0.0000199422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001302272,0.00001791606,0.0004092219,0.00003283828,0.0001216568,0.00002565578,0.00007815767,0.767363,0.2158646,0.0009239122,0.000007754771,0.01502504],"study_design_scores_gemma":[0.002464955,0.0002675252,0.002742463,0.000296076,0.00004958742,0.0008157486,0.0006346551,0.01879267,0.9552554,0.01504587,0.003277679,0.0003573491],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835019,0.0002266109,0.01453879,0.0004189702,0.0009364794,0.0001047358,0.00001103178,0.00006192639,0.0001996053],"genre_scores_gemma":[0.9584193,0.0009775575,0.04045414,0.0000357168,0.00004307224,0.000001470498,0.000004041824,0.00002455541,0.00004017425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7485703,"threshold_uncertainty_score":0.4613948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002969062364752998,"score_gpt":0.218498540902328,"score_spread":0.215529478537575,"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."}}