{"id":"W4239916818","doi":"10.5539/jmsr.v5n2p94","title":"Influence of Process Parameters on the Surface Roughness during turning operation of High Strength Steel","year":2016,"lang":"en","type":"article","venue":"Journal of Materials Science Research","topic":"Electromagnetic Launch and Propulsion Technology","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Materials science; Surface roughness; Machining; Barrel (horology); Surface finish; Process (computing); Mechanical engineering; High strength steel; Metallurgy; Composite material; Computer science; 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":[0.0002917525,0.0002743663,0.0003074967,0.0002189515,0.0002154947,0.0003599671,0.0001412098,0.0003465949,0.001092741],"category_scores_gemma":[0.0007691907,0.0002455675,0.0003287146,0.0001801875,0.0002395772,0.0002514957,0.0001326322,0.0002919863,0.0002196233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001474027,"about_ca_system_score_gemma":0.0001143348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007347454,"about_ca_topic_score_gemma":0.00156903,"domain_scores_codex":[0.999642,0.00004958563,0.00002200085,0.00005458915,0.0001516523,0.00008006635],"domain_scores_gemma":[0.9991387,0.000357069,0.0001624991,0.00007367973,0.0002222047,0.00004579483],"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":[0.0007383914,0.00006375322,0.005482798,0.0001109236,0.00001859549,0.000213133,0.0001468808,0.002007139,0.9852538,0.0000260441,0.00005930265,0.005879275],"study_design_scores_gemma":[0.00001863668,0.002785818,0.08614698,0.00001184743,0.00007846386,0.0002321362,0.0004718441,0.00524911,0.9042582,0.00004232372,0.0006685221,0.0000361189],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988424,0.0001644179,0.0006333652,0.000005067998,0.000006947483,0.000006875566,0.00003142532,0.00001373579,0.0002958614],"genre_scores_gemma":[0.9994127,0.00006527932,0.0002775534,0.000003607823,0.000001692889,0.000002667195,0.00004107389,0.000006880468,0.0001887206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001092741,"threshold_uncertainty_score":0.003655553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01984852322220193,"score_gpt":0.2976781817377058,"score_spread":0.2778296585155038,"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."}}