{"id":"W3002836132","doi":"10.1249/mss.0000000000002271","title":"Neck and Inspiratory Muscle Recruitment during Inspiratory Loading and Neck Flexion","year":2020,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University Health Network; Toronto Rehabilitation Institute; University of Toronto","funders":"","keywords":"Parasternal line; Medicine; Electromyography; Exertion; Cardiology; Hyperpnea; Muscle contraction; Internal medicine; Physical therapy; Physical medicine and rehabilitation; Respiratory system","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":[0.0002419381,0.0004432413,0.000263165,0.0002181755,0.0001231075,0.0001897238,0.0001753736,0.0003476445,0.001484455],"category_scores_gemma":[0.001101008,0.0001679969,0.0001290816,0.00008953177,0.0001959736,0.0002648199,0.0002784044,0.000147098,0.0002701457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001067634,"about_ca_system_score_gemma":0.0001252106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008979655,"about_ca_topic_score_gemma":0.001485635,"domain_scores_codex":[0.999892,0.0000162796,0.000009873661,0.00003868549,0.00002035575,0.00002269754],"domain_scores_gemma":[0.9996405,0.00008685456,0.0001278186,0.00002158417,0.00005515675,0.00006802809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005707171,0.000390731,0.5320443,0.0005977916,0.0001358284,0.000809195,0.0009268275,0.0003446563,0.4145345,0.00004661419,0.0002942926,0.04416804],"study_design_scores_gemma":[0.00001487468,0.001030476,0.9958802,0.00001244511,0.00002178581,0.0003557969,0.00009305047,0.0001617586,0.002289657,0.00001270943,0.0001241441,0.000002991485],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992191,0.0002036308,0.00021728,0.00001013512,0.000002850712,0.00001225589,0.00006633394,0.000004874355,0.0002636033],"genre_scores_gemma":[0.9990721,0.00009924141,0.0003439274,0.00002966453,0.000008695277,0.0000213761,0.0001490621,0.000002508169,0.0002734163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001484455,"threshold_uncertainty_score":0.004966021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03124645655150442,"score_gpt":0.2960869494616268,"score_spread":0.2648404929101223,"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."}}