{"id":"W2158139077","doi":"10.1115/1.4023477","title":"Comparison of Concurrent Multiscale Methods in the Application of Fracture in Nickel","year":2013,"lang":"en","type":"article","venue":"Journal of Applied Mechanics","topic":"Microstructure and mechanical properties","field":"Materials Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of New Brunswick","funders":"","keywords":"Handshake; Dependency (UML); Coupling (piping); Dissipation; Computer science; Displacement (psychology); Fracture (geology); Deformation (meteorology); Mechanics; Materials science; Thermodynamics; Physics; Composite material; Artificial intelligence","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":[0.001202547,0.0005243599,0.0008857968,0.0007062219,0.0005033135,0.0006964032,0.001550156,0.0009988282,0.001371069],"category_scores_gemma":[0.003678495,0.0004334697,0.0008750565,0.0005177058,0.0006130472,0.0008395779,0.001401457,0.0007705957,0.0002049668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006512167,"about_ca_system_score_gemma":0.0009665816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00417723,"about_ca_topic_score_gemma":0.004699706,"domain_scores_codex":[0.9993856,0.0001200564,0.0000426576,0.00008836536,0.0003184208,0.00004483834],"domain_scores_gemma":[0.9981249,0.0009851223,0.0001428739,0.0003148607,0.0003479853,0.00008418498],"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":[0.0003605138,0.0004710842,0.007697362,0.0004390477,0.0001881278,0.0003353784,0.0006968238,0.7450218,0.04965877,0.01910078,0.0004396376,0.1755907],"study_design_scores_gemma":[0.000022391,0.0001240959,0.001102769,0.00001219695,0.00001855497,0.00006745027,0.00007175869,0.9898462,0.006260167,0.001674956,0.0007786076,0.00002082804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3120105,0.0005363702,0.6784136,0.0002204366,0.00009181902,0.0002057846,0.00008259973,0.0006297027,0.007809233],"genre_scores_gemma":[0.7984106,0.0002577381,0.1997919,0.00003198819,0.00002449188,0.0001398699,0.00005091139,0.0001411466,0.001151388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00417723,"threshold_uncertainty_score":0.008305848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03139809199326671,"score_gpt":0.3616624349138281,"score_spread":0.3302643429205614,"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."}}