{"id":"W1978485517","doi":"10.1007/s11661-014-2262-9","title":"Predicting the Effect of Mo, Ni, and Si on the Bainitic Stasis","year":2014,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions A","topic":"Vascular Malformations Diagnosis and Treatment","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Isothermal process; Phenomenon; Thermodynamics; Ferrite (magnet); Materials science; Metallurgy; Gibbs free energy; Isothermal transformation diagram; Energy balance; Transformation (genetics); Bainite; Chemistry; Physics; Microstructure; Composite material; Martensite","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":[0.0002967471,0.0005713726,0.0004828999,0.001033845,0.0002340035,0.000780688,0.00031418,0.0005791754,0.0009496698],"category_scores_gemma":[0.0009334734,0.0002077103,0.0003925498,0.0005960938,0.000174713,0.0002870374,0.0001696385,0.000277568,0.0003938873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002881248,"about_ca_system_score_gemma":0.0004022894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01090284,"about_ca_topic_score_gemma":0.01908843,"domain_scores_codex":[0.999898,0.0000135585,0.00001013685,0.00002847657,0.0000329674,0.00001684825],"domain_scores_gemma":[0.9996549,0.0001542595,0.00004865576,0.00001791506,0.00008755364,0.00003678044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001275969,0.0001503962,0.9214638,0.00008308954,0.0001827317,0.00024192,0.00004104003,0.01153527,0.03757824,0.00012809,0.0004115375,0.02690796],"study_design_scores_gemma":[0.00004665925,0.0004792081,0.6805536,0.00002695066,0.0003717441,0.0004520634,0.0002567632,0.2635226,0.05239267,0.0005369671,0.001323411,0.0000374407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942793,0.0006231098,0.003148279,0.00004593768,0.00002036993,0.0000133679,0.0005490248,0.0001170008,0.001203561],"genre_scores_gemma":[0.9978472,0.0001759363,0.001164016,0.00001049376,0.000005454508,0.000003172418,0.0002989346,0.000006083691,0.0004886016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01090284,"threshold_uncertainty_score":0.02167875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01033525253685793,"score_gpt":0.227089073585558,"score_spread":0.2167538210487001,"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."}}