{"id":"W4400903644","doi":"10.1016/j.jmapro.2024.07.052","title":"Modelling the laser surface hardening process in a steel with a spheroidized initial microstructure","year":2024,"lang":"en","type":"article","venue":"Journal of Manufacturing Processes","topic":"Laser and Thermal Forming Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Materials science; Microstructure; Case hardening; Hardening (computing); Process (computing); Laser; Metallurgy; Composite material; Surface (topology); Hardness; Optics; Geometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002868656,0.0004708271,0.0005028059,0.0003802163,0.0004503621,0.0009938045,0.0007917405,0.002442319,0.003952669],"category_scores_gemma":[0.0007382488,0.0004916572,0.0007556436,0.0004211845,0.0007130431,0.000496095,0.0002771304,0.0005753611,0.0004489855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001167506,"about_ca_system_score_gemma":0.001503831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03382248,"about_ca_topic_score_gemma":0.01799688,"domain_scores_codex":[0.9998988,0.00001742415,0.000004684515,0.0000186795,0.00003024004,0.00003014531],"domain_scores_gemma":[0.9996468,0.0001967718,0.00005027176,0.00002596656,0.00005586079,0.00002434744],"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":[0.00003704547,0.00002245533,0.0002435341,0.00002749317,0.000005066574,0.0000857682,0.00002210784,0.9935917,0.004388056,0.0006704463,0.00005488798,0.0008513699],"study_design_scores_gemma":[0.00001432329,0.00003581767,0.0003661845,0.000002612119,0.00000433099,0.00001332382,0.00001236143,0.9980611,0.001177067,0.0001382915,0.00016899,0.000005569832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8600682,0.0005041411,0.109561,0.0003164141,0.00008879061,0.0001643023,0.0005236221,0.0006340955,0.02813944],"genre_scores_gemma":[0.9873847,0.0001266638,0.006328053,0.00001584979,0.000004806401,0.00003303768,0.0001060235,0.00005287124,0.005947936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03382248,"threshold_uncertainty_score":0.06725121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01088601822020359,"score_gpt":0.2381488734815158,"score_spread":0.2272628552613122,"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."}}