{"id":"W2741999014","doi":"10.1007/s12289-017-1371-6","title":"Introduction to the level-set full field modeling of laths spheroidization phenomenon in α/β titanium alloys","year":2017,"lang":"en","type":"article","venue":"International Journal of Material Forming","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Safran Electronics (Canada)","funders":"Agence Nationale de la Recherche","keywords":"Materials science; Curvature; Finite element method; Titanium alloy; Deformation (meteorology); Diffusion; Mechanics; Metallurgy; Composite material; Structural engineering; Alloy; Geometry; Thermodynamics; Engineering; Physics; Mathematics","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":[0.0003536947,0.0004206165,0.0004686246,0.0003684581,0.0003686757,0.0009744713,0.001122722,0.001053806,0.00617653],"category_scores_gemma":[0.0007125526,0.0003956065,0.0007215951,0.0005185982,0.0004959619,0.0006640687,0.0006336307,0.001110945,0.0009181135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000560523,"about_ca_system_score_gemma":0.0005259479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005416404,"about_ca_topic_score_gemma":0.002554037,"domain_scores_codex":[0.9998903,0.00002582829,0.000007786257,0.00001321789,0.00005151226,0.00001143106],"domain_scores_gemma":[0.9998298,0.00006074843,0.00001781667,0.00001935724,0.00005785422,0.00001450869],"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":[0.00002324823,0.00003057974,0.0002729358,0.000113361,0.00001732694,0.00009335241,0.00007663165,0.8943903,0.004629703,0.07836562,0.001663588,0.02032327],"study_design_scores_gemma":[0.000003207957,0.000007335493,0.00007653074,0.00001017114,0.000001902302,0.00001811389,0.000007134248,0.9899718,0.0004610038,0.006241131,0.003196141,0.00000565491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01904278,0.002033997,0.9396471,0.0006938825,0.0002245661,0.000135005,0.0004476546,0.000874534,0.03690051],"genre_scores_gemma":[0.637227,0.00395989,0.3239613,0.0004310455,0.0002981154,0.0004509547,0.0005510667,0.0007866571,0.03233391],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00617653,"threshold_uncertainty_score":0.02066255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02432248692941971,"score_gpt":0.2619791278921135,"score_spread":0.2376566409626938,"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."}}