{"id":"W2157565857","doi":"10.4028/www.scientific.net/msf.519-521.1139","title":"Laser and Hybrid Laser-MIG Welding of 6.35 and 12.7mm Thick Aluminium Aerospace Alloy","year":2006,"lang":"en","type":"article","venue":"Materials science forum","topic":"Welding Techniques and Residual Stresses","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Larus Technologies (Canada)","funders":"","keywords":"Materials science; Welding; Laser beam welding; Aluminium; Heat-affected zone; Metallurgy; Laser; Aerospace; Gas metal arc welding; Alloy; Aluminium alloy; Electric resistance welding; Composite material; Spot welding; Optics","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":[0.0003567612,0.0003071375,0.0004272698,0.0003458663,0.0002246122,0.000293754,0.0003962974,0.0005930145,0.001035278],"category_scores_gemma":[0.00020451,0.0002627907,0.0004329527,0.0002976674,0.0002184767,0.0001764296,0.0002860738,0.0001852406,0.0003552547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002650152,"about_ca_system_score_gemma":0.0001753001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007025499,"about_ca_topic_score_gemma":0.001383233,"domain_scores_codex":[0.9996645,0.00003138736,0.00001388417,0.00004956301,0.0001814413,0.00005903079],"domain_scores_gemma":[0.999817,0.00003276552,0.00004781707,0.00002517914,0.00005525516,0.00002197632],"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":[0.000101175,0.00001468013,0.0004697122,0.00008638653,0.000009158475,0.0001065428,0.00006128217,0.0005502818,0.9961994,0.00007787355,0.00002046773,0.002303003],"study_design_scores_gemma":[0.00000880701,0.0008958875,0.00941885,0.000007259997,0.00002412227,0.000279646,0.00007767717,0.001623751,0.9862639,0.00003907262,0.001349672,0.00001134219],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955963,0.001057589,0.001657343,0.00001010537,0.000008919339,0.00001273731,0.00004804261,0.00003999056,0.001569005],"genre_scores_gemma":[0.9940685,0.0002729081,0.003074112,0.000006699369,0.000003144228,0.00001010346,0.00006269941,0.0000121394,0.002489753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001035278,"threshold_uncertainty_score":0.003463328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005914120187449887,"score_gpt":0.2055185893586687,"score_spread":0.1996044691712188,"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."}}