{"id":"W4390979279","doi":"10.1177/13621718231222844","title":"Half-sectioned spot weld parameter optimisation for liquid metal embrittlement analysis in advanced high-strength steels","year":2024,"lang":"en","type":"article","venue":"Science and Technology of Welding & Joining","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Liquid metal embrittlement; Welding; Spot welding; Metallurgy; Embrittlement; Cracking; Heat-affected zone; Electric resistance welding; Liquid metal; Composite material; Microstructure; Grain boundary","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":[0.0004320349,0.000426643,0.000302398,0.000443851,0.0001268857,0.0004945957,0.0003991899,0.0003693758,0.0008634487],"category_scores_gemma":[0.0005973072,0.0003076773,0.0003594374,0.0002899065,0.0002300294,0.0005583721,0.0002510178,0.0002552587,0.0001976392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001829645,"about_ca_system_score_gemma":0.000334908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004310934,"about_ca_topic_score_gemma":0.001464737,"domain_scores_codex":[0.9998394,0.00001972777,0.00000991986,0.00003824941,0.00007948791,0.00001314391],"domain_scores_gemma":[0.9996042,0.0001199586,0.00008710971,0.00006300072,0.0001130153,0.00001283226],"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":[0.00009710193,0.00002553229,0.00161519,0.0001306795,0.00001672706,0.00005911013,0.00009980873,0.01506187,0.9612639,0.0002851204,0.00006775071,0.0212773],"study_design_scores_gemma":[0.00001199414,0.000664295,0.01573493,0.0000207665,0.00004032718,0.0002935864,0.0001579685,0.1285254,0.852573,0.0004181701,0.00151076,0.00004877161],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7620962,0.0006453873,0.2349403,0.00003579333,0.00001690472,0.00006425956,0.0001747437,0.0007056324,0.001320741],"genre_scores_gemma":[0.9140188,0.0002247762,0.08490027,0.00001154014,0.000002001797,0.00003052136,0.000142268,0.00008322598,0.0005866361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008634487,"threshold_uncertainty_score":0.00288856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009383691652030051,"score_gpt":0.2628152894592297,"score_spread":0.2534315978071996,"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."}}