{"id":"W2588786708","doi":"10.1007/s11665-017-2541-x","title":"Microhardness and Stress Analysis of Laser-Cladded AISI 420 Martensitic Stainless Steel","year":2017,"lang":"en","type":"article","venue":"Journal of Materials Engineering and Performance","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"PROTO Manufacturing (Canada); University of Windsor","funders":"Ontario Centres of Excellence","keywords":"Materials science; Residual stress; Indentation hardness; Martensite; Ultimate tensile strength; Cladding (metalworking); Microstructure; Metallurgy; Martensitic stainless steel; Composite material; Dilution; Laser power scaling; Heat-affected zone; Laser","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002909157,0.000172786,0.0005643151,0.0002020576,0.00008755947,0.0001753749,0.0001568105,0.00006438141,0.00003733724],"category_scores_gemma":[0.00003587888,0.0001467037,0.00004256021,0.00004769171,0.00004924997,0.0003193509,0.00004729249,0.00008043733,5.243093e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001169978,"about_ca_system_score_gemma":0.000009407468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008510538,"about_ca_topic_score_gemma":0.000001915191,"domain_scores_codex":[0.9992056,0.00001189514,0.0003980258,0.00009017228,0.0001205112,0.0001737884],"domain_scores_gemma":[0.9993697,0.00004426972,0.0002424147,0.0001716568,0.00009664804,0.00007533233],"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":[0.0003576837,0.00004660835,0.01052475,0.008035596,0.002444118,0.00007022707,0.0009439241,0.1936568,0.7793843,0.0000434541,0.0001331957,0.004359392],"study_design_scores_gemma":[0.0003151732,0.00007364918,0.2743089,0.0003014049,0.0003182798,0.00003138238,0.00002568853,0.004227971,0.7199533,0.000004480109,0.0002639811,0.0001758002],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986111,0.0003432162,0.0002003277,0.00001311784,0.0005407812,0.00004105712,0.0002028409,0.00002044117,0.00002709781],"genre_scores_gemma":[0.9982749,0.001242773,0.0002739572,0.000004247577,0.0001585254,0.000001846739,0.000007284193,0.00002129526,0.00001520298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2637841,"threshold_uncertainty_score":0.5982402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007581683939761183,"score_gpt":0.1979581288761382,"score_spread":0.190376444936377,"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."}}