{"id":"W3136101250","doi":"10.21037/aoj-20-71","title":"The direct anterior approach to the hip for total hip arthroplasty: a blind guide (with traction table)","year":2021,"lang":"en","type":"article","venue":"Annals of Joint","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre","funders":"","keywords":"Total hip arthroplasty; Traction (geology); Medicine; Table (database); Hip arthroplasty; Arthroplasty; Physical medicine and rehabilitation; Physical therapy; Computer science; Surgery; Engineering; Data mining; Mechanical engineering","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":[0.0005469215,0.00101248,0.0004745541,0.001464818,0.0007172631,0.001237912,0.0007993669,0.002238483,0.01838605],"category_scores_gemma":[0.001135468,0.0003884098,0.0008708776,0.0005788371,0.001067426,0.002217034,0.001418017,0.003338428,0.01449188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003278849,"about_ca_system_score_gemma":0.001496654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001842159,"about_ca_topic_score_gemma":0.006444712,"domain_scores_codex":[0.9996505,0.00005300624,0.00005594795,0.00005159252,0.0001466855,0.00004234655],"domain_scores_gemma":[0.9996876,0.00008436141,0.0000486342,0.00002488737,0.00006136885,0.00009321355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002252173,0.0003460609,0.003373478,0.001321477,0.00005095406,0.02666941,0.0009731558,0.001058123,0.02053734,0.004857102,0.232453,0.7081346],"study_design_scores_gemma":[0.0001571414,0.0008345044,0.008483483,0.0009318229,0.0000429359,0.2019646,0.0005996911,0.001215006,0.003359674,0.006251142,0.7759652,0.0001948353],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06508325,0.06792127,0.5299782,0.04237199,0.01344861,0.002499388,0.003144925,0.01407846,0.2614739],"genre_scores_gemma":[0.09617073,0.04711769,0.6968028,0.01682445,0.004893786,0.001091447,0.001598124,0.001590641,0.1339104],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01838605,"threshold_uncertainty_score":0.0615074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06632651501577365,"score_gpt":0.3139509763242995,"score_spread":0.2476244613085259,"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."}}