{"id":"W2156296091","doi":"10.1243/09544119jeim480","title":"Accuracy of digitization of bony landmarks for measuring change in scapular attitude","year":2009,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Coastal Health Research Institute; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scapula; Acromion; Anatomy; Orthodontics; Rotation (mathematics); Kinematics; Medicine; Gold standard (test); Position (finance); Digitization; Computer science; Computer vision; Physics; Radiology; Rotator cuff","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003990024,0.0005152291,0.0003705114,0.001031972,0.0002918341,0.0008217291,0.0006541234,0.0007291471,0.001406675],"category_scores_gemma":[0.01818129,0.000338873,0.0002264428,0.0006579809,0.0006761279,0.00048278,0.0005985595,0.0003549419,0.001160653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000154818,"about_ca_system_score_gemma":0.000270324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00107131,"about_ca_topic_score_gemma":0.002094683,"domain_scores_codex":[0.9957175,0.001660057,0.0003541191,0.0008202413,0.001306283,0.0001418202],"domain_scores_gemma":[0.9906166,0.00464639,0.0012535,0.001737115,0.001643963,0.0001024029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001508484,0.0001230236,0.1966848,0.0006845066,0.0002613167,0.0002595014,0.001560584,0.003560404,0.3198012,0.0008722903,0.0009916343,0.4736922],"study_design_scores_gemma":[0.0001026542,0.001731583,0.8480083,0.0002438938,0.0002810479,0.002643338,0.001264357,0.01278222,0.1246182,0.000886463,0.007285114,0.0001528167],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8107799,0.003814625,0.1765374,0.0001431699,0.0002744201,0.0002078105,0.000522808,0.0007235718,0.006996301],"genre_scores_gemma":[0.9233324,0.0009437876,0.07373648,0.00006128732,0.00005252125,0.0001341551,0.0002550643,0.000081851,0.001402348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003990024,"threshold_uncertainty_score":0.02110153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04273753389574747,"score_gpt":0.3033138009128891,"score_spread":0.2605762670171416,"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."}}