{"id":"W1536948023","doi":"","title":"Digital versus conventional templating techniques in preoperative planning for total hip arthroplasty.","year":2009,"lang":"en","type":"article","venue":"PubMed","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital","funders":"","keywords":"Medicine; Radiography; Digital radiography; Periprosthetic; Implant; Digital imaging; Orthopedic surgery; Total hip arthroplasty; Hip resurfacing; Arthroplasty; Radiology; Surgery; Digital image; Image processing; Computer science; Computer vision","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":[0.002165999,0.0002314208,0.0002377441,0.0007194668,0.0001325778,0.0003351242,0.0002435164,0.0002691543,0.001220115],"category_scores_gemma":[0.01507917,0.0001835797,0.0002078292,0.0004976431,0.0003021496,0.0005215299,0.0005418119,0.0002384173,0.0002188267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001863362,"about_ca_system_score_gemma":0.0002286819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005294177,"about_ca_topic_score_gemma":0.00137116,"domain_scores_codex":[0.9987646,0.0004528375,0.000167113,0.0001408978,0.00041112,0.00006331899],"domain_scores_gemma":[0.9909079,0.005545548,0.001923894,0.0004554178,0.0007952772,0.000371993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00544887,0.0002377574,0.8190743,0.000374768,0.0001374843,0.0003090782,0.0004037692,0.000515656,0.00484869,0.00005842504,0.0003661837,0.1682251],"study_design_scores_gemma":[0.000402942,0.01094172,0.9660737,0.0001153052,0.0003894034,0.008263415,0.0007547939,0.004913581,0.00623002,0.0001573842,0.001704083,0.00005360553],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957114,0.001683252,0.001758423,0.000049174,0.00003892187,0.00003623084,0.00008316107,0.00002040926,0.0006190279],"genre_scores_gemma":[0.9966341,0.0002962762,0.002841932,0.00002766507,0.0000249356,0.00002169262,0.00005479686,0.000002755783,0.00009583437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002165999,"threshold_uncertainty_score":0.01145506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03577662652050261,"score_gpt":0.288405737681068,"score_spread":0.2526291111605654,"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."}}