{"id":"W4404572639","doi":"10.1063/5.0227710","title":"Experimental and numerical analysis on the cutting force, cutting temperature, and tool wear of alloy steel (4340) during turning process","year":2024,"lang":"en","type":"article","venue":"AIP Advances","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"King Saud University","keywords":"Alloy; Materials science; Metallurgy; Process (computing); Mechanical engineering; Alloy steel; Computer science; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009058684,0.0001604622,0.0001955723,0.0001042055,0.0001549344,0.00008957816,0.00007005987,0.0000392468,0.000008612275],"category_scores_gemma":[0.00005091746,0.0001183214,0.00004014453,0.0004581119,0.00003958486,0.0003248227,0.0000321632,0.0001851609,4.625392e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001827322,"about_ca_system_score_gemma":0.000006520335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001472239,"about_ca_topic_score_gemma":4.79985e-7,"domain_scores_codex":[0.9992241,0.00001302575,0.0002040685,0.0002432932,0.0001392318,0.0001763337],"domain_scores_gemma":[0.9996548,0.000158463,0.00004434477,0.0000893699,0.00002101775,0.00003195853],"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":[0.00002135792,0.00001247483,0.00251695,0.0006012791,0.0001958897,0.000005301323,0.002949903,0.9364337,0.05290394,0.0006645537,0.000002415062,0.003692224],"study_design_scores_gemma":[0.0002742957,0.00009945894,0.001437855,0.000542661,0.0001733417,0.00001846954,0.004531692,0.8006033,0.1913678,0.0002655608,0.0002849486,0.0004006033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781649,0.01386884,0.007227275,0.00003555875,0.00007670519,0.0001065252,0.000004573072,0.0001712979,0.0003443449],"genre_scores_gemma":[0.9970123,0.0003284311,0.002480933,0.00002422144,0.00005790049,0.00002276169,0.00000416044,0.0000298843,0.00003938055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1384639,"threshold_uncertainty_score":0.4825006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004178873159588397,"score_gpt":0.2462978626530012,"score_spread":0.2421189894934128,"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."}}