{"id":"W2030201874","doi":"10.1016/j.jbiomech.2009.04.002","title":"Adaptive glenoid bone remodeling simulation","year":2009,"lang":"en","type":"article","venue":"Journal of Biomechanics","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Bone remodeling; Finite element method; Fixation (population genetics); Prosthesis; Orthodontics; Computer science; Biomedical engineering; Structural engineering; Engineering; Medicine; 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":[0.0002373583,0.0003831606,0.000375021,0.0003193406,0.0002305786,0.0004813782,0.001025988,0.001065896,0.005114782],"category_scores_gemma":[0.001260126,0.0003654097,0.0004586194,0.0002323747,0.0004038556,0.0003243728,0.0007594748,0.0003938864,0.000444131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002128959,"about_ca_system_score_gemma":0.0004184248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003489919,"about_ca_topic_score_gemma":0.002200082,"domain_scores_codex":[0.9998835,0.00003572,0.000006399017,0.00002326947,0.00003572879,0.00001531351],"domain_scores_gemma":[0.9996042,0.000236471,0.00004165126,0.00004255303,0.00005140557,0.00002374449],"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":[0.00007733624,0.0000448524,0.0005775584,0.00001683364,0.00001445463,0.00006237772,0.00003727352,0.9909822,0.001988446,0.0009976601,0.0001555909,0.005045287],"study_design_scores_gemma":[0.00002782078,0.00003191491,0.0001756864,0.000002050201,0.000005415276,0.00001915045,0.0000106767,0.9987627,0.0003426284,0.0004293578,0.0001892564,0.00000330625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5905896,0.0001677933,0.3722997,0.0004193084,0.0001889113,0.0001945105,0.0004270408,0.0009278274,0.03478521],"genre_scores_gemma":[0.9762725,0.00003772943,0.02071805,0.00005754774,0.00001295916,0.00006960329,0.00007198512,0.0000469613,0.002712685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005114782,"threshold_uncertainty_score":0.01711071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04508980583640346,"score_gpt":0.3360833112253897,"score_spread":0.2909935053889862,"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."}}