{"id":"W2060279842","doi":"10.5539/mas.v6n8p9","title":"Investigation of Reinforced Sic Particles Percentage on Machining Force of Metal Matrix Composite","year":2012,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Aluminum Alloys Composites Properties","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Materials science; Machining; Composite number; Composite material; Metal matrix composite; Matrix (chemical analysis); Chip formation; Reinforcement; Chip; Finite element method; Tool wear; Structural engineering; Computer science; Metallurgy; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001237321,0.0002076097,0.0001427922,0.0002562555,0.0001113039,0.0001655786,0.0001467083,0.0003152376,0.001094086],"category_scores_gemma":[0.0004365961,0.0001669865,0.000191849,0.0001117155,0.0001395056,0.0001662666,0.00007905289,0.000132832,0.0001028212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001120655,"about_ca_system_score_gemma":0.00009413996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001162523,"about_ca_topic_score_gemma":0.002171776,"domain_scores_codex":[0.9998795,0.00000724411,0.000004321993,0.00002118217,0.00007056908,0.00001724153],"domain_scores_gemma":[0.9996543,0.0001903382,0.00005647254,0.0000185268,0.00006741021,0.00001295406],"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":[0.0002599892,0.00007131175,0.008528854,0.0001703789,0.00002244168,0.0002689091,0.0001237432,0.04485648,0.9290293,0.0002146627,0.0001137247,0.01634009],"study_design_scores_gemma":[0.00001352352,0.000505827,0.04179902,0.00001677712,0.00005164215,0.0002119605,0.0001114405,0.2648841,0.6912509,0.0001157375,0.001010045,0.00002896207],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952381,0.0001900721,0.003359018,0.00001521349,0.000005623869,0.000003506429,0.00002748531,0.00005123691,0.001109832],"genre_scores_gemma":[0.9987296,0.00005716633,0.0009579618,0.000003138854,0.000001082233,0.000001528587,0.0000161861,0.000004637152,0.000228732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001162523,"threshold_uncertainty_score":0.003660023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02229754459943324,"score_gpt":0.2282365970555063,"score_spread":0.2059390524560731,"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."}}