{"id":"W2954713279","doi":"10.3390/ma12122034","title":"Machinability of Rene 65 Superalloy","year":2019,"lang":"en","type":"article","venue":"Materials","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machinability; Superalloy; Materials science; Machining; Metallurgy; Microstructure; Tool wear; Drilling","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":[0.00007855866,0.00005747687,0.0001287253,0.00001700759,0.000007799448,0.000009714545,0.00005450686,0.0000299987,0.0006767943],"category_scores_gemma":[0.00001314725,0.00005286721,0.00001217159,0.00003626529,0.000006976364,0.00007770302,0.00001435475,0.00001823353,0.00002819716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001198389,"about_ca_system_score_gemma":0.000003524696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001176443,"about_ca_topic_score_gemma":7.818403e-7,"domain_scores_codex":[0.9996564,0.000008419046,0.0001421522,0.00006972624,0.00004466719,0.00007861844],"domain_scores_gemma":[0.9998114,0.000009953884,0.00001836681,0.0001284076,0.00001873636,0.00001315506],"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":[0.00002509009,0.00001482929,0.002330382,0.0006904476,0.00001263446,3.702604e-7,0.0001709503,0.1945948,0.7994254,0.001258863,0.000069243,0.001406958],"study_design_scores_gemma":[0.0003600018,0.00005069847,0.006144927,0.00004197939,0.000008599048,0.000001651991,0.00002130205,0.004307254,0.9844877,0.001671303,0.002716905,0.0001877139],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943608,0.00005981147,0.003340773,0.00001004368,0.0004110204,0.00008753539,0.0000169707,0.0001079579,0.001605063],"genre_scores_gemma":[0.9964361,0.00002812331,0.003343883,0.000007370977,0.0000236936,0.000004119894,0.00001757867,0.00001458819,0.000124542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1902875,"threshold_uncertainty_score":0.7410423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001952043217932638,"score_gpt":0.1754662219221884,"score_spread":0.1735141787042558,"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."}}