{"id":"W2278536182","doi":"10.1016/j.apmr.2015.12.024","title":"Optimal Combinations of Isometric Normalization Tests for the Production of Maximum Voluntary Activation of the Shoulder Muscles","year":2016,"lang":"en","type":"article","venue":"Archives of Physical Medicine and Rehabilitation","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Polytechnique Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Isometric exercise; Electromyography; Percentile; Physical medicine and rehabilitation; Medicine; Normalization (sociology); Physical therapy; Shoulder girdle; Rehabilitation; Mathematics; Surgery; Statistics","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":[0.002547891,0.00130182,0.001746285,0.001478948,0.0003668811,0.0009484628,0.0008721199,0.0006197309,0.002445342],"category_scores_gemma":[0.01091718,0.0005282024,0.0006484814,0.0007716597,0.0004075527,0.001053035,0.0006782887,0.0006172833,0.0006709289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004152728,"about_ca_system_score_gemma":0.001119897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008461302,"about_ca_topic_score_gemma":0.001225223,"domain_scores_codex":[0.9975557,0.0008438676,0.0003380108,0.0003722568,0.0006561533,0.0002339509],"domain_scores_gemma":[0.9971318,0.001484656,0.0003061842,0.0001646203,0.0006731489,0.0002395165],"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":[0.04495987,0.004465343,0.05514189,0.001044854,0.0003960255,0.0002887801,0.0003207795,0.01463724,0.2203158,0.0008246547,0.001758034,0.6558468],"study_design_scores_gemma":[0.00330016,0.06495909,0.4146164,0.001044124,0.003166033,0.002896405,0.001228598,0.1269775,0.3700246,0.006179247,0.005189623,0.000418392],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8871909,0.005390949,0.09947324,0.0003922614,0.0003173288,0.001241668,0.0006126007,0.0006527908,0.004728382],"genre_scores_gemma":[0.9635074,0.0007346685,0.03408254,0.00008973332,0.00007271991,0.0006936537,0.0003419732,0.00008883001,0.0003886201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002547891,"threshold_uncertainty_score":0.0134747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02055680201835785,"score_gpt":0.3149201425463317,"score_spread":0.2943633405279738,"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."}}