{"id":"W2018474207","doi":"10.4028/www.scientific.net/msf.539-543.42","title":"Microstructural Design for Advanced Structural Steels","year":2007,"lang":"en","type":"article","venue":"Materials science forum","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Materials science; Work (physics); Composite number; Structural material; Development (topology); Metallurgy; Structural engineering; Mechanical engineering; Composite material; Engineering; Mathematics; Mathematical analysis","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":[0.0002672432,0.0002930147,0.0002324813,0.00048907,0.0002667489,0.0004858472,0.0005119382,0.0004047143,0.00340925],"category_scores_gemma":[0.0004142243,0.0002627108,0.0002584498,0.000202919,0.0002888352,0.0004942853,0.0004274762,0.0003388917,0.000861043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005444415,"about_ca_system_score_gemma":0.0005028369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009052576,"about_ca_topic_score_gemma":0.002860104,"domain_scores_codex":[0.9998326,0.00002294919,0.000007996054,0.00002246727,0.00009824379,0.00001571328],"domain_scores_gemma":[0.9998449,0.00002490634,0.00002884852,0.00002471294,0.00006594543,0.00001068671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006044195,0.0000495979,0.0009061461,0.0002837417,0.00002365244,0.0001224283,0.0001302006,0.5553802,0.1565082,0.1839766,0.002178528,0.1003803],"study_design_scores_gemma":[0.00001884582,0.0001838711,0.0009605497,0.00003639893,0.00001537411,0.0001432126,0.00006069061,0.8868562,0.02218716,0.04669714,0.04282097,0.00001965309],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03950929,0.0004887501,0.9386508,0.0002224556,0.00007025598,0.00007281566,0.0001107048,0.0004788121,0.02039604],"genre_scores_gemma":[0.629678,0.0006930339,0.3555814,0.00008275452,0.00004089912,0.0001718751,0.0001833959,0.0002112693,0.01335729],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00340925,"threshold_uncertainty_score":0.01140505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0132491902998139,"score_gpt":0.2410715018002009,"score_spread":0.227822311500387,"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."}}