{"id":"W2762258683","doi":"10.1016/j.jelekin.2017.10.001","title":"Comparing non-invasive scapular tracking methods across elevation angles, planes of elevation and humeral axial rotations","year":2017,"lang":"en","type":"article","venue":"Journal of Electromyography and Kinesiology","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stylus; Acromion; Tilt (camera); Elevation (ballistics); Rotation (mathematics); Screw axis; Scapula; Geology; Orientation (vector space); Orthodontics; Medicine; Geodesy; Anatomy; Geometry; Mathematics; Physics; Rotator cuff; Acoustics","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":[0.00275159,0.0007637525,0.000682712,0.0008863807,0.0002419581,0.0008016034,0.0005473924,0.0008344598,0.002436583],"category_scores_gemma":[0.01021913,0.0003960538,0.0006361685,0.0006723791,0.0003724003,0.001318969,0.0009776098,0.0004727503,0.0005718294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002296818,"about_ca_system_score_gemma":0.0004934839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00149743,"about_ca_topic_score_gemma":0.00394698,"domain_scores_codex":[0.9979464,0.0006261982,0.0003082239,0.0003066717,0.0006553294,0.0001570418],"domain_scores_gemma":[0.986533,0.009564245,0.001108397,0.0007597117,0.001693642,0.0003409201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.08979641,0.003743021,0.1826978,0.002878192,0.002769647,0.0002738968,0.002715701,0.008168177,0.1675688,0.0005262341,0.0011686,0.5376936],"study_design_scores_gemma":[0.003790429,0.02954064,0.8673211,0.000345549,0.002739133,0.002556924,0.001954375,0.03747878,0.04995834,0.0007562098,0.003290424,0.0002680663],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715024,0.002035578,0.02384483,0.00007143582,0.0001836347,0.0002031736,0.00052196,0.0001525312,0.001484497],"genre_scores_gemma":[0.9842697,0.0006868318,0.01258239,0.00009749795,0.00009490448,0.0001897911,0.000422911,0.0000707349,0.00158521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00275159,"threshold_uncertainty_score":0.01455194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04787065400020203,"score_gpt":0.3911284965309893,"score_spread":0.3432578425307873,"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."}}