{"id":"W2947567062","doi":"10.1007/s11663-019-01605-0","title":"Characterization of Inclusions in 3rd Generation Advanced High-Strength Steels","year":2019,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions B","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Nucleation; Materials science; Non-metallic inclusions; Metallurgy; Nitride; Oxide; Inclusion (mineral); Characterization (materials science); Composite material; Mineralogy; Thermodynamics; Chemistry; Nanotechnology; Layer (electronics)","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":[0.0002248349,0.0001952742,0.0002149605,0.0007332171,0.0004673431,0.0003429073,0.0003638946,0.0006003472,0.0006051156],"category_scores_gemma":[0.0004431542,0.0001524216,0.0002006388,0.000237796,0.0004694739,0.0003485235,0.0002791872,0.0002221436,0.000228832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000289689,"about_ca_system_score_gemma":0.0002968082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002147165,"about_ca_topic_score_gemma":0.003584951,"domain_scores_codex":[0.9997173,0.00002241989,0.00001267497,0.00006011167,0.000151273,0.00003631518],"domain_scores_gemma":[0.9994501,0.00009467314,0.00008110768,0.0000484922,0.0002865418,0.00003894897],"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":[0.0001045485,0.00001147347,0.001908788,0.00002381226,0.000003621925,0.00007237533,0.000105668,0.0002458527,0.9959566,0.00007991553,0.00003552472,0.001451745],"study_design_scores_gemma":[0.000003865638,0.0001216086,0.02365453,0.000005291577,0.000009446381,0.0002574692,0.0001191307,0.003536491,0.9708992,0.0000462984,0.001339201,0.000007471206],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958197,0.0001506428,0.003001354,0.00001364591,0.000005359473,0.000007640409,0.0001101832,0.00004603066,0.0008454522],"genre_scores_gemma":[0.9957128,0.00005424257,0.002637401,0.00001005715,0.000002682807,0.000007377062,0.0002271423,0.00002052953,0.001327817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002147165,"threshold_uncertainty_score":0.004269302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005622068874470232,"score_gpt":0.1850367967359653,"score_spread":0.1794147278614951,"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."}}