{"id":"W4408235905","doi":"10.18280/rcma.350114","title":"Effects of Flowing Water Cooling on the Quenching Process of AISI 1045 Steel: Influence on Tensile Strength, Hardness, and Microstructure","year":2025,"lang":"en","type":"article","venue":"Revue des composites et des matériaux avancés","topic":"Advanced Machining and Optimization Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Microstructure; Ultimate tensile strength; Quenching (fluorescence); Materials science; Metallurgy; Process (computing); 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":[0.0001196448,0.0002139106,0.0003191895,0.0001364187,0.0001380293,0.00004394144,0.0001729959,0.00007982919,0.000002298331],"category_scores_gemma":[0.0001633016,0.0001410769,0.00005003056,0.0001567602,0.0001309127,0.0001443993,0.00004818068,0.0002569485,5.475883e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003244687,"about_ca_system_score_gemma":0.00001002145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005725652,"about_ca_topic_score_gemma":0.000002711468,"domain_scores_codex":[0.9991686,0.00005551447,0.0002912112,0.0001943217,0.00009283318,0.0001974984],"domain_scores_gemma":[0.9991841,0.0003970667,0.00005066685,0.0002204644,0.0001168496,0.00003083854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004176907,0.00002225636,0.0006328191,0.002768883,0.0000465446,0.000003668166,0.001344205,0.6527137,0.3396597,0.00118139,0.00001878393,0.001566308],"study_design_scores_gemma":[0.0002228354,0.00008392054,0.00152137,0.003432077,0.00003580077,0.0000069585,0.00005024994,0.06234102,0.9308063,0.001254465,0.00008355371,0.0001614333],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9564046,0.0006134002,0.04190138,0.00002525104,0.000110405,0.0002921621,0.00001272776,0.000228813,0.0004112386],"genre_scores_gemma":[0.9793155,0.0002517709,0.02023078,0.00008383243,0.00001475195,0.00002953622,0.000009723562,0.00003395029,0.00003018858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5911466,"threshold_uncertainty_score":0.575295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007989198121723887,"score_gpt":0.2455958059457769,"score_spread":0.237606607824053,"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."}}