{"id":"W4394962309","doi":"10.1080/09507116.2024.2342342","title":"A study on effect of laser overlay welding parameters of stainless steel 301 LN: tensile test, microstructure analysis and microhardness evaluation","year":2024,"lang":"en","type":"article","venue":"Welding International","topic":"Welding Techniques and Residual Stresses","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Indentation hardness; Materials science; Microstructure; Welding; Metallurgy; Overlay; Ultimate tensile strength; Tensile testing; Laser; Composite material; Optics; Computer science","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":[0.0004764949,0.0001829551,0.0003034547,0.0004942335,0.00003241343,0.00007692918,0.0001650192,0.00008220704,0.00005253361],"category_scores_gemma":[0.0001547773,0.000149087,0.0001242166,0.0003874236,0.00004025257,0.00008976951,0.00005719009,0.0001658035,9.539395e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001040498,"about_ca_system_score_gemma":0.00001245278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005271777,"about_ca_topic_score_gemma":0.00001233406,"domain_scores_codex":[0.9988323,0.0000578885,0.000307464,0.0002536791,0.0004151552,0.0001334739],"domain_scores_gemma":[0.99913,0.0005067461,0.00006799026,0.0001605237,0.000101709,0.00003308842],"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":[0.0002361864,0.0002666126,0.3125826,0.001302689,0.008258994,0.00009068716,0.002332581,0.3788083,0.2798472,0.0001347488,0.003758421,0.01238097],"study_design_scores_gemma":[0.0006245069,0.0004483702,0.07170481,0.0005129549,0.001031226,0.00001033718,0.0002985873,0.03455115,0.8902909,0.0001078934,0.0001528912,0.0002663725],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978108,0.0002767926,0.0004690665,0.00003185176,0.0004177803,0.0003456361,0.0001127563,0.000128417,0.0004068887],"genre_scores_gemma":[0.9993622,0.00003749186,0.0004226578,0.000005475599,0.00005460442,0.00003237418,0.00002923968,0.00002497525,0.00003099327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6104437,"threshold_uncertainty_score":0.6079593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071899443033303,"score_gpt":0.2852497021665875,"score_spread":0.2745307077362545,"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."}}