{"id":"W2331122846","doi":"10.1557/jmr.2013.148","title":"Triple junction structure and carbide precipitation in 304L stainless steel","year":2013,"lang":"en","type":"article","venue":"Journal of materials research/Pratt's guide to venture capital sources","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Integran (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Carbide; Precipitation; Metallurgy; Triple junction","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":[0.00008599885,0.00008580725,0.0001960719,0.0002302638,0.0005183089,0.0003721196,0.000520958,0.0003889385,0.001364729],"category_scores_gemma":[0.0001632938,0.0001964724,0.0001325133,0.0001375444,0.0003134006,0.0002638021,0.0001815197,0.0002777501,0.0003005118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006821631,"about_ca_system_score_gemma":0.0003740369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003852585,"about_ca_topic_score_gemma":0.005224096,"domain_scores_codex":[0.9999046,0.000005909417,0.000003291307,0.00001656195,0.00005069604,0.00001887748],"domain_scores_gemma":[0.9999429,0.00001055062,0.00001300854,0.000005176344,0.00002096078,0.000007449743],"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":[0.0002692571,0.00006769253,0.001274974,0.000102218,0.000008369837,0.0005329007,0.0001518836,0.002069189,0.9816481,0.008947537,0.0007692638,0.004158575],"study_design_scores_gemma":[0.00006513866,0.0003847635,0.02327335,0.00001767325,0.00001254299,0.0007083447,0.0003625736,0.0267759,0.9394078,0.003058809,0.005901922,0.00003126952],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826644,0.000904261,0.002016053,0.0001331837,0.00003437529,0.0000200119,0.0001265486,0.00009901853,0.01400218],"genre_scores_gemma":[0.9966745,0.00009240227,0.0005214275,0.0000131843,0.000004525877,0.000005777345,0.00006662217,0.00001012951,0.002611355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003852585,"threshold_uncertainty_score":0.007660329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434662358597162,"score_gpt":0.2663215750659964,"score_spread":0.2519749514800247,"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."}}