{"id":"W4283206936","doi":"10.1007/s40194-022-01332-2","title":"Optimizing post-weld performance of press-hardened steel resistance spot welds by controlling fusion zone porosity","year":2022,"lang":"en","type":"article","venue":"Welding in the World","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor; University of Waterloo","funders":"","keywords":"Materials science; Tempering; Martensite; Welding; Metallurgy; Microstructure; Composite material; Toughness; Spot welding; Brittleness","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":[0.0001928394,0.0003111849,0.000307712,0.0001922653,0.00019368,0.0003936396,0.0004144212,0.0003173783,0.000863266],"category_scores_gemma":[0.0002912415,0.0001736709,0.0001891149,0.000195894,0.0001788405,0.0003011203,0.0001798139,0.0002132457,0.0001885309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003088471,"about_ca_system_score_gemma":0.0002637762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001424292,"about_ca_topic_score_gemma":0.003163432,"domain_scores_codex":[0.999885,0.000006932538,0.000006161436,0.00002195207,0.00005214276,0.00002785874],"domain_scores_gemma":[0.9998404,0.00002511205,0.00005595485,0.00001312366,0.00004288611,0.00002253732],"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":[0.0001961001,0.00003014577,0.0003229467,0.00003506264,0.00000624214,0.00002726912,0.00003189884,0.001912194,0.9949647,0.00005346505,0.0000424952,0.002377496],"study_design_scores_gemma":[0.00001207703,0.0004214034,0.003491143,0.000002504019,0.00001548676,0.00003098547,0.00002118182,0.007046616,0.9886458,0.00001292088,0.0002911899,0.000008783996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984258,0.0002552004,0.0008768835,0.00000959862,0.000006462986,0.000002310293,0.00001872435,0.00005165581,0.0003533421],"genre_scores_gemma":[0.9988506,0.00009385013,0.0004176935,0.000002707836,0.000001438594,0.000001332762,0.00002365722,0.00001363525,0.0005949995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001424292,"threshold_uncertainty_score":0.002887845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008185641760491805,"score_gpt":0.1908203294406079,"score_spread":0.1826346876801161,"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."}}