{"id":"W2767417882","doi":"10.1016/j.apergo.2017.10.004","title":"Dynamic and static shoulder strength relationship and predictive model","year":2017,"lang":"en","type":"article","venue":"Applied Ergonomics","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Isometric exercise; Concentric; Regression analysis; Physical medicine and rehabilitation; Physical therapy; Mathematics; Medicine; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004017639,0.0001012053,0.0001037342,0.00004792436,0.0002583333,0.0000659721,0.00005831639,0.00004582979,0.000001330503],"category_scores_gemma":[0.00001026856,0.0001083154,0.00001192543,0.00001831024,0.00007393638,0.0001168605,0.00003413417,0.0001076102,4.155972e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002569352,"about_ca_system_score_gemma":0.000005294067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002630142,"about_ca_topic_score_gemma":0.00001893712,"domain_scores_codex":[0.9996133,0.000002131779,0.0000964381,0.0001276352,0.00003322824,0.0001272725],"domain_scores_gemma":[0.9996905,0.00004792875,0.00003299455,0.0001777937,0.000006698828,0.00004406014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003584183,0.0001101847,0.04725917,0.0004868938,0.001187087,0.000002001952,0.00766114,0.4129498,0.003790181,0.2032955,0.003770943,0.3191288],"study_design_scores_gemma":[0.0003271002,0.000009658634,0.3490013,0.000004878247,0.00002411121,5.766596e-7,0.000139206,0.6436233,0.00006953956,0.006515983,0.0001430149,0.0001413602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713655,0.0001207538,0.01887857,0.0000727994,0.00003356301,0.0001445778,0.00002001065,0.00009683948,0.009267357],"genre_scores_gemma":[0.9970604,0.0004246196,0.0023891,0.00002548145,0.000008189637,0.00003175458,0.000008587887,0.00001821159,0.00003370613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3189874,"threshold_uncertainty_score":0.4416974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01341282944788988,"score_gpt":0.2281327227442373,"score_spread":0.2147198932963475,"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."}}