{"id":"W4220764481","doi":"10.18280/mmep.090117","title":"Experimental Investigation on the Performance of Different Cutting Fluids on Cutting Force During Turning of Duplex Stainless Steel-2205 under MQL Technique","year":2022,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Technology Warangal","keywords":"Cutting fluid; Lubrication; Materials science; Machining; Metallurgy; Mineral oil; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000260194,0.0002114594,0.0002517002,0.0001110592,0.0001866075,0.00002064373,0.0001266508,0.00004639443,0.000009559151],"category_scores_gemma":[0.00002100178,0.0001732442,0.00004302944,0.0001598313,0.00003115272,0.00008263015,0.00007330723,0.0003469809,2.488905e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007425996,"about_ca_system_score_gemma":0.000005506703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001251286,"about_ca_topic_score_gemma":2.052963e-8,"domain_scores_codex":[0.9988961,0.00001867891,0.0004127715,0.0001785163,0.0002611147,0.0002328775],"domain_scores_gemma":[0.9994888,0.0001839497,0.00009352397,0.0001646763,0.00002327214,0.0000457178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009094154,0.0000272264,0.00001809093,0.00115965,0.00001658963,2.142931e-7,0.001261457,0.9036544,0.08551227,0.008283937,3.056468e-7,0.000056775],"study_design_scores_gemma":[0.000132218,0.0001147844,0.000007304895,0.0005665652,0.000008606024,0.000004599559,0.0002271426,0.7930869,0.2050409,0.0006713059,0.00000152056,0.0001380328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6373404,0.0000902173,0.3621368,0.00001102336,0.0000282666,0.0002048052,0.00000193284,0.0001139307,0.0000725299],"genre_scores_gemma":[0.9891462,0.00002798358,0.01054037,0.000006545031,0.00001791981,0.000173902,0.000005221734,0.00005933661,0.00002249898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3518058,"threshold_uncertainty_score":0.7064694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01808221199437245,"score_gpt":0.2032905383376873,"score_spread":0.1852083263433148,"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."}}