{"id":"W3093523584","doi":"10.1002/rcs.2189","title":"New technology‐based assistive techniques in total knee arthroplasty: A Bayesian network meta‐analysis and systematic review","year":2020,"lang":"en","type":"review","venue":"International Journal of Medical Robotics and Computer Assisted Surgery","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"National Natural Science Foundation of China","keywords":"Radiological weapon; Medicine; Odds ratio; Confidence interval; Meta-analysis; Grading (engineering); Total knee arthroplasty; Systematic review; Physical therapy; MEDLINE; Surgery; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001833801,0.0005447447,0.008610641,0.00161812,0.00004020428,0.0001048336,0.0002652594,0.0005137671,0.00009628073],"category_scores_gemma":[0.001305002,0.0003692984,0.002454339,0.001332699,0.0001489545,0.00008976108,0.0002895435,0.001465011,0.000003124491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001437855,"about_ca_system_score_gemma":0.001373202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008823146,"about_ca_topic_score_gemma":0.00001481572,"domain_scores_codex":[0.9942456,0.0004682641,0.002749649,0.0004343319,0.001804573,0.0002975362],"domain_scores_gemma":[0.9946745,0.002358567,0.001730964,0.0002577614,0.0003400631,0.00063816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00003810673,0.0001828707,0.0007090922,0.1478568,0.1303164,0.006962406,0.00001224939,0.00002172571,1.207384e-8,0.0001054226,0.001884489,0.7119104],"study_design_scores_gemma":[0.0007824418,0.0003154669,0.0004406069,0.6393725,0.3001997,0.01273461,0.00001094225,0.002661,1.28476e-7,0.00003614013,0.04281957,0.0006268858],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[9.569512e-7,0.8553904,0.1353569,0.008152123,0.0005280339,0.0005186728,0.00001016262,0.00003699301,0.000005717614],"genre_scores_gemma":[0.0000934159,0.9670649,0.03080461,0.00136478,0.0005472497,0.00002744663,0.00003175494,0.00004258071,0.00002327229],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7112834,"threshold_uncertainty_score":0.9998759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.037580549939255,"score_gpt":0.3257003083338233,"score_spread":0.2881197583945683,"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."}}