{"id":"W4285678532","doi":"10.1016/j.matpr.2022.06.455","title":"A case study of machinability evaluation of a gravity cast hypereutectic Al-Si binary MMC in dry turning","year":2022,"lang":"en","type":"article","venue":"Materials Today Proceedings","topic":"Aluminum Alloys Composites Properties","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Department of Mechanical Engineering, University of Alberta; National Institute of Technology Durgapur","keywords":"Machinability; Materials science; Eutectic system; Metallurgy; Taguchi methods; Machining; Carbide; Alloy; Metal matrix composite; Composite material","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":[0.0005490473,0.0004689182,0.0006877303,0.0008279064,0.001441545,0.001007899,0.001031307,0.00184283,0.002925779],"category_scores_gemma":[0.0007939946,0.0002434484,0.0005296599,0.0005474616,0.0008946285,0.0003753373,0.0005034131,0.0005953338,0.0005877297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006394464,"about_ca_system_score_gemma":0.0004157012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003231302,"about_ca_topic_score_gemma":0.008012869,"domain_scores_codex":[0.9994349,0.00006401605,0.00002015125,0.00006713554,0.0003102221,0.0001035862],"domain_scores_gemma":[0.9994608,0.0001792089,0.00004469391,0.00009686697,0.0001450452,0.00007351169],"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":[0.002876483,0.0009486711,0.02033668,0.001150791,0.0001209744,0.04020694,0.00424017,0.08619054,0.7616575,0.004712479,0.00275712,0.07480176],"study_design_scores_gemma":[0.0001837388,0.005705009,0.06532535,0.0001351101,0.0002640599,0.0150584,0.00662324,0.1216011,0.7564274,0.001737377,0.02668131,0.0002579274],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886993,0.0002232909,0.003924304,0.00008108221,0.00002907543,0.00006941906,0.0001305055,0.0001572931,0.006685775],"genre_scores_gemma":[0.9952034,0.0000536533,0.002092928,0.0000114521,0.000003443132,0.000008447399,0.00004566012,0.00002590237,0.002555196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003231302,"threshold_uncertainty_score":0.009787738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02838318952442875,"score_gpt":0.2546875821275475,"score_spread":0.2263043926031187,"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."}}