{"id":"W2979673951","doi":"10.3390/met9101091","title":"Effect of Cooling Rate on AlN Precipitation in FeCrAl Stainless Steel During Solidification","year":2019,"lang":"en","type":"article","venue":"Metals","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Materials science; Precipitation; Diffusion; Metallurgy; Volume fraction; Particle (ecology); Growth rate; Nitride; Scanning electron microscope; Thermodynamics; Composite material; Layer (electronics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005315943,0.0001122464,0.0002478506,0.00009351636,0.00001152009,0.00001365857,0.0000802885,0.00005277723,0.00004114172],"category_scores_gemma":[0.00004676233,0.00009341882,0.00005038399,0.0001437942,0.000007490838,0.0001152508,0.00001094109,0.0000963851,0.00006548432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004343425,"about_ca_system_score_gemma":0.000003799305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003982689,"about_ca_topic_score_gemma":0.00000312865,"domain_scores_codex":[0.9992968,0.0000898459,0.0002373081,0.0001255923,0.0001081673,0.000142283],"domain_scores_gemma":[0.9995825,0.0001691424,0.00005374215,0.0001487496,0.00002071858,0.00002513147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001257754,0.00002029847,0.0001172722,0.0009293606,0.00003394609,9.987986e-7,0.0001572049,0.773373,0.222498,0.0008998563,5.401553e-7,0.001843762],"study_design_scores_gemma":[0.0009471232,0.0001296098,0.009480754,0.0001106432,0.00002175873,6.151313e-7,0.00002116513,0.815268,0.1736512,0.0001680624,0.00004504877,0.0001559503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955783,0.000131815,0.002435073,0.000004813196,0.0001243291,0.0003087622,0.000002919565,0.00004782198,0.001366092],"genre_scores_gemma":[0.9997054,0.00003240281,0.00005319935,0.000003223177,0.00001826656,0.00002024365,0.00001070687,0.00002204245,0.0001345179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04884677,"threshold_uncertainty_score":0.3809509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005856753718210345,"score_gpt":0.229170392420384,"score_spread":0.2233136387021737,"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."}}