{"id":"W4388159649","doi":"10.1016/j.jmapro.2023.10.049","title":"Effect of heat source and Zn-coating type on the geometry and morphology of laser-brazed thin-gauge steels","year":2023,"lang":"en","type":"article","venue":"Journal of Manufacturing Processes","topic":"Welding Techniques and Residual Stresses","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; University of Waterloo","funders":"National Research Council Canada; National Research Council","keywords":"Brazing; Materials science; Wetting; Coating; Galvanization; Metallurgy; Composite material; Enhanced Data Rates for GSM Evolution; Substrate (aquarium); Morphology (biology); Filler metal; Galvannealed; Welding; Layer (electronics); Alloy; Arc welding","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002836694,0.0002505797,0.0002933194,0.0002072045,0.0001833208,0.0003475237,0.0003259957,0.0003062302,0.001793106],"category_scores_gemma":[0.001204714,0.000299292,0.0001896393,0.0001759111,0.0003084721,0.0002654183,0.0001868146,0.000220692,0.0002813948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002783312,"about_ca_system_score_gemma":0.0002161138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001534385,"about_ca_topic_score_gemma":0.002914932,"domain_scores_codex":[0.9997756,0.00003232722,0.00002002402,0.00005429384,0.00007401143,0.00004381634],"domain_scores_gemma":[0.9990857,0.0003382138,0.0002097746,0.00006919909,0.0002192621,0.00007789052],"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":[0.0004853244,0.00002252086,0.001201433,0.00005338714,0.00001134226,0.000104764,0.00007495115,0.0009997968,0.9948639,0.00003618281,0.00005895952,0.002087361],"study_design_scores_gemma":[0.00003700371,0.0005937319,0.02674825,0.000007178916,0.00004169232,0.0001220604,0.0001107573,0.003676868,0.9681175,0.00002018951,0.0005074217,0.00001726788],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986824,0.0001568643,0.0005663332,0.00001366282,0.00001071388,0.000005979477,0.00005198324,0.00005219555,0.0004597913],"genre_scores_gemma":[0.9990765,0.00005924837,0.0003792923,0.000007023204,0.000003207149,0.000002598427,0.0000350573,0.00002629324,0.0004108125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001793106,"threshold_uncertainty_score":0.005998552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071956570512396,"score_gpt":0.2414327901477629,"score_spread":0.230713224442639,"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."}}