{"id":"W4297236499","doi":"10.3390/lubricants10100235","title":"Implementation of Sustainable Vegetable-Oil-Based Minimum Quantity Cooling Lubrication (MQCL) Machining of Titanium Alloy with Coated Tools","year":2022,"lang":"en","type":"article","venue":"Lubricants","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Lubrication; Materials science; Machining; Lubricant; Titanium alloy; Metallurgy; Machinability; Composite material; Alloy","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":[0.0002247588,0.0002121482,0.0002311026,0.0002423012,0.0001309956,0.0002742582,0.0004815003,0.0002152905,0.00042138],"category_scores_gemma":[0.0004197001,0.0001274702,0.0002303283,0.0001585216,0.0002089414,0.000239771,0.0002144317,0.0001715495,0.00008872486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003089089,"about_ca_system_score_gemma":0.000283113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001563999,"about_ca_topic_score_gemma":0.003473964,"domain_scores_codex":[0.9997718,0.00002202363,0.00001953377,0.00003962151,0.0001031325,0.00004399282],"domain_scores_gemma":[0.9998094,0.00003259324,0.00007227611,0.00001992317,0.00005235786,0.00001350524],"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":[0.0001207845,0.00002291354,0.0007657708,0.0001163914,0.000006637393,0.0000488874,0.00006018198,0.00115342,0.9927824,0.00007999397,0.00002253835,0.00482012],"study_design_scores_gemma":[0.00001034721,0.0006582175,0.002866192,0.000004285595,0.00001224675,0.00005478237,0.00003407482,0.006837036,0.9888318,0.00001704072,0.0006634173,0.00001057172],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961719,0.0001914665,0.003211321,0.00001380719,0.000005804932,0.0000148774,0.00002278874,0.00004016147,0.000327842],"genre_scores_gemma":[0.9946085,0.00008140122,0.004982923,0.000003910595,0.000001126567,0.000006071392,0.00002717454,0.000006380781,0.0002823648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001563999,"threshold_uncertainty_score":0.003109872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01087323996561318,"score_gpt":0.2489811578485823,"score_spread":0.2381079178829691,"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."}}