{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004480807,0.0001377528,0.0001859557,0.00002329201,0.000179766,0.00003617458,0.0003163113,0.00007629556,0.00002005303],"category_scores_gemma":[0.0005584346,0.0000866227,0.00004114856,0.0002331045,0.00009286616,0.0002417948,0.00003803014,0.0002094319,0.000004531541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000282293,"about_ca_system_score_gemma":0.0001837445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001273335,"about_ca_topic_score_gemma":0.000001690963,"domain_scores_codex":[0.9987857,0.00002912539,0.0002827159,0.0001628511,0.0004983108,0.0002413386],"domain_scores_gemma":[0.9993954,0.0001176875,0.00005054023,0.0002160194,0.0001355758,0.00008478992],"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":[0.00004807071,0.00004739303,0.00007424729,0.0006116182,0.000006427782,1.385334e-7,0.0005000382,0.9592744,0.02490968,0.01347212,0.000003894775,0.001051969],"study_design_scores_gemma":[0.0003816512,0.00005700614,0.0004339649,0.0006028684,0.0000390291,0.000005748114,0.00003393606,0.9910117,0.006432808,0.0008152217,0.0000573194,0.0001287171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4287485,0.00002733722,0.5706628,0.0001319671,0.0001850318,0.0001282079,0.000002769016,0.0000646865,0.00004866189],"genre_scores_gemma":[0.9931043,5.330991e-7,0.006508527,0.00003803096,0.0002283961,0.00007067808,0.000003371629,0.00002491943,0.00002125921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5643558,"threshold_uncertainty_score":0.3532371,"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."}}