{"id":"W1972168712","doi":"10.1016/j.medengphy.2014.07.012","title":"Monolithic superelastic rods with variable flexural stiffness for spinal fusion: Modeling of the processing–properties relationship","year":2014,"lang":"en","type":"article","venue":"Medical Engineering & Physics","topic":"Shape Memory Alloy Transformations","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; École de Technologie Supérieure; Hôpital du Sacré-Cœur de Montréal","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Materials science; Rod; Flexural strength; Stiffness; Flexural rigidity; Structural engineering; Fusion; Composite material; Engineering; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001855069,0.0002645368,0.0002583205,0.0001601622,0.0002355099,0.0003784288,0.0006295161,0.0009536144,0.0008910644],"category_scores_gemma":[0.0002551664,0.0002582658,0.0003232771,0.0002175009,0.0004253545,0.0003701919,0.0001548505,0.0002826376,0.0001847862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004798721,"about_ca_system_score_gemma":0.0005216427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001966347,"about_ca_topic_score_gemma":0.003245257,"domain_scores_codex":[0.9999509,0.000009178264,0.000002005049,0.000009473976,0.0000207118,0.000007641554],"domain_scores_gemma":[0.9999141,0.00003407354,0.00002370604,0.00001163678,0.00001117944,0.000005363637],"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":[0.00003226423,0.00004509336,0.0003685184,0.00005266284,0.000008306552,0.0001181773,0.00005890971,0.9184408,0.06883811,0.008620673,0.0001242534,0.003292409],"study_design_scores_gemma":[0.000003345646,0.00003049311,0.0002453628,0.00000261704,0.0000042342,0.00002414378,0.000007840379,0.9958852,0.002863519,0.0004868497,0.0004415733,0.000004865501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5162504,0.001191622,0.4624436,0.0004450787,0.00005545771,0.0001083919,0.0001244408,0.0003646793,0.01901634],"genre_scores_gemma":[0.9735442,0.0002982305,0.02260182,0.00002263094,0.000005923453,0.00006401003,0.00002189809,0.00001955167,0.003421644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001966347,"threshold_uncertainty_score":0.003909826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02866647240796194,"score_gpt":0.232247023307134,"score_spread":0.2035805508991721,"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."}}