{"id":"W2063380530","doi":"10.1016/j.actamat.2011.02.027","title":"Reactive wetting of high Mn steels during continuous hot-dip galvanizing","year":2011,"lang":"en","type":"article","venue":"Acta Materialia","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"ArcelorMittal; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; McMaster University","keywords":"Wetting; Materials science; Galvanization; Intermetallic; Metallurgy; Annealing (glass); Alloy; Oxide; Layer (electronics); Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002910666,0.0001743489,0.0003117291,0.00007509105,0.0001215261,0.00007720086,0.0002164348,0.00009570683,0.003646025],"category_scores_gemma":[0.00005268514,0.0001644028,0.00005742743,0.00008655321,0.00007652534,0.0004926744,0.0001523008,0.00006418157,0.0001306026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005216952,"about_ca_system_score_gemma":0.00002152412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005930765,"about_ca_topic_score_gemma":0.00001069222,"domain_scores_codex":[0.998601,0.00009307219,0.0004403419,0.0003237784,0.0002231733,0.0003186209],"domain_scores_gemma":[0.9991918,0.00001341286,0.0003315204,0.0002840453,0.0001102076,0.00006898458],"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":[0.0001999521,0.00006606856,0.000488094,0.00004119396,0.000001380708,0.00001353829,0.001166776,7.041923e-8,0.9975483,0.0001961766,0.0002431737,0.00003526759],"study_design_scores_gemma":[0.0004525134,0.00008773603,0.0185331,0.0001212377,0.00002951916,0.00001959078,0.0003195873,4.794398e-7,0.9799494,0.0001474259,0.0001489738,0.0001904773],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962435,0.000005346218,0.00003420466,0.00001589679,0.002494335,0.0001909004,0.00009717356,0.00012389,0.0007947159],"genre_scores_gemma":[0.9984334,0.000002548715,0.0008494696,0.00002029853,0.0001507244,0.00002044442,0.00001436261,0.0000306237,0.000478185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01804501,"threshold_uncertainty_score":0.9972648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02674733120848945,"score_gpt":0.2306616165600895,"score_spread":0.2039142853516001,"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."}}