{"id":"W4400582546","doi":"10.3390/app14146077","title":"RETRACTED: Mohan et al. Laser Welding of UNS S33207 Hyper-Duplex Stainless Steel to 6061 Aluminum Alloy Using High Entropy Alloy as a Filler Material. Appl. Sci. 2022, 12, 2849","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Laser Material Processing Techniques","field":"Engineering","cited_by":0,"is_retracted":true,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"National Natural Science Foundation of China","keywords":"Alloy; Materials science; Aluminium; Metallurgy; Welding; Duplex (building); High entropy alloys","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005084785,0.002801486,0.00390538,0.003851139,0.005385055,0.005555702,0.006762454,0.02731029,0.01596602],"category_scores_gemma":[0.02227913,0.001751715,0.002449926,0.001617676,0.003114216,0.003306196,0.002786716,0.02276565,0.02242529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003366361,"about_ca_system_score_gemma":0.004051818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01026892,"about_ca_topic_score_gemma":0.01487789,"domain_scores_codex":[0.9939311,0.0005404114,0.0008988169,0.0006842415,0.003268752,0.0006766701],"domain_scores_gemma":[0.9836444,0.004132905,0.0009912906,0.0004206178,0.009469232,0.001341561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006086721,0.00003116166,0.0000763119,0.0001717634,0.00001894405,0.0006121092,0.00003966004,0.00002485524,0.0001567223,0.0001681032,0.9918044,0.006835149],"study_design_scores_gemma":[0.00007541846,0.00008718028,0.00106619,0.0003314785,0.00008488417,0.001273731,0.0002043081,0.0001728811,0.0007743149,0.0005892664,0.9952885,0.00005194896],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.0002423025,0.003397308,0.0003852385,0.1125842,0.8816907,0.00001694951,0.0002339309,0.0001994109,0.001249975],"genre_scores_gemma":[0.00552655,0.0139859,0.001061851,0.2882721,0.6394101,0.00009976071,0.0006894383,0.0003408312,0.05061335],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9726897,"threshold_uncertainty_score":0.05341166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01839912067202414,"score_gpt":0.2677665259628558,"score_spread":0.2493674052908316,"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."}}