{"id":"W2906326758","doi":"10.4028/www.scientific.net/msf.941.2264","title":"The Avrami Kinetics of Dynamic Recrystallization in Nickel-Niobium Alloys","year":2018,"lang":"en","type":"article","venue":"Materials science forum","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Air Force Office of Scientific Research","keywords":"Materials science; Avrami equation; Strain rate; Flow stress; Thermodynamics; Softening; Dynamic recrystallization; Metallurgy; Atmospheric temperature range; Kinetics; Niobium; Strain hardening exponent; Torsion (gastropod); Recrystallization (geology); Hot working; Composite material; Microstructure; Melting point; Enthalpy of fusion","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":[0.0003604177,0.0003234133,0.00037337,0.0008141188,0.00018996,0.0003691011,0.0003194298,0.0001900908,0.001094899],"category_scores_gemma":[0.0009250288,0.0002124038,0.000173412,0.0003049044,0.0003211988,0.0004773015,0.0001337916,0.0002964101,0.0003448662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005154344,"about_ca_system_score_gemma":0.0002371556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002387602,"about_ca_topic_score_gemma":0.002026886,"domain_scores_codex":[0.9998319,0.00001933484,0.00001050843,0.00003343655,0.00007050807,0.00003423868],"domain_scores_gemma":[0.9997243,0.0001207959,0.00006900975,0.0000241428,0.00004604987,0.0000157411],"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":[0.0004130943,0.0000535538,0.004437159,0.000117948,0.00001101394,0.0001168604,0.0003377955,0.005374902,0.9664927,0.0006733947,0.000100625,0.0218711],"study_design_scores_gemma":[0.00001158299,0.0003926481,0.01839773,0.00001387922,0.00001018549,0.000165934,0.00008691914,0.03847483,0.9406828,0.0002185545,0.001520836,0.00002412327],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992773,0.0009861048,0.00406132,0.00002977094,0.000004466614,0.00002573111,0.000180912,0.0001855119,0.00175326],"genre_scores_gemma":[0.9971941,0.000286939,0.001002789,0.000004669759,0.00000147393,0.00001064045,0.0001483727,0.00002142373,0.001329648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002387602,"threshold_uncertainty_score":0.004747391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006876540783091985,"score_gpt":0.2289268945593907,"score_spread":0.2220503537762987,"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."}}