{"id":"W2158272811","doi":"10.1080/10255842.2010.493887","title":"Effect of axis alignment on<i>in vivo</i>shoulder kinematics","year":2011,"lang":"en","type":"article","venue":"Computer Methods in Biomechanics & Biomedical Engineering","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; École de Technologie Supérieure","funders":"","keywords":"Scapula; Humerus; Kinematics; Shoulder joint; Range of motion; Biomechanics; Movement (music); Thorax (insect anatomy); Anatomy; Medicine; Screw axis; Position (finance); Orthodontics; Physical medicine and rehabilitation; Mathematics; Geometry; Physical therapy; Physics","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":[0.001719079,0.0005802913,0.0002469532,0.0003351468,0.0001932135,0.0006016952,0.0002470752,0.0002750632,0.002536399],"category_scores_gemma":[0.009121245,0.0002530753,0.0002457818,0.0002630514,0.0005327231,0.0003078399,0.000428702,0.0003058792,0.0005231954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001913654,"about_ca_system_score_gemma":0.0002840436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007448767,"about_ca_topic_score_gemma":0.0005103851,"domain_scores_codex":[0.9984445,0.0008183117,0.0001532113,0.00021526,0.0002662569,0.0001025379],"domain_scores_gemma":[0.9944036,0.003682579,0.0008630966,0.0005169044,0.0003937843,0.0001400345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.02484656,0.0004412282,0.09232578,0.0009905795,0.0002441199,0.0003292969,0.0008965211,0.01379462,0.7606418,0.0006811266,0.001125662,0.1036829],"study_design_scores_gemma":[0.0003613254,0.01212476,0.6474459,0.0002218364,0.0004035048,0.001368048,0.000537334,0.0182813,0.3136127,0.000875594,0.004682924,0.00008489138],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676165,0.0007779395,0.02886182,0.00008573561,0.0001335757,0.0001021208,0.0004189491,0.0002035826,0.001799826],"genre_scores_gemma":[0.9912299,0.0002695552,0.007662519,0.00005530657,0.00003136457,0.00008455722,0.0003194155,0.00008819779,0.0002592544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002536399,"threshold_uncertainty_score":0.009091437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03284284195406503,"score_gpt":0.3564334466919563,"score_spread":0.3235906047378913,"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."}}