{"id":"W3173529205","doi":"10.1002/jor.25133","title":"Patient‐specific 3D‐printed shelf implant for the treatment of hip dysplasia: Anatomical and biomechanical outcomes in a canine model","year":2021,"lang":"en","type":"article","venue":"Journal of Orthopaedic Research®","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Vlaamse regering; Arthritis Society; Interreg; Dutch Arthritis Society","keywords":"Off the shelf; 3d printed; Medicine; Hip dysplasia; Implant; Orthodontics; Dentistry; Radiology; Surgery; Biomedical engineering; Radiography; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009107062,0.0005073661,0.000848097,0.001078304,0.0002533623,0.0004845959,0.0006040507,0.0009958873,0.00124415],"category_scores_gemma":[0.0005647746,0.0004564423,0.0009082058,0.0004624219,0.0006025109,0.000384195,0.0003841644,0.0006747533,0.0003404988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003476335,"about_ca_system_score_gemma":0.000362527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001105194,"about_ca_topic_score_gemma":0.001576152,"domain_scores_codex":[0.9994131,0.0000695391,0.00006037382,0.00005703843,0.0003270318,0.0000728751],"domain_scores_gemma":[0.9994823,0.00008471977,0.0001350519,0.0001094932,0.00009908324,0.00008939268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003241866,0.003535785,0.002425665,0.0004883973,0.0001063833,0.001027843,0.0002465726,0.002749134,0.9692784,0.0002322602,0.0003626143,0.01630501],"study_design_scores_gemma":[0.001154141,0.1376771,0.06664032,0.0001808466,0.001045384,0.0167172,0.001243585,0.02677786,0.7317805,0.0004612537,0.01605899,0.0002627872],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966408,0.000777004,0.001807417,0.00007082144,0.00005675969,0.00006463486,0.000201297,0.00003759254,0.0003436723],"genre_scores_gemma":[0.9931103,0.0009738064,0.004306275,0.00005663278,0.00001789168,0.00006685138,0.0005042434,0.00001776593,0.0009461581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00124415,"threshold_uncertainty_score":0.004816294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06280692299804128,"score_gpt":0.3558762989115,"score_spread":0.2930693759134587,"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."}}