{"id":"W4306377257","doi":"10.3390/ijerph192013254","title":"Using Long-Duration Static Stretch Training to Counteract Strength and Flexibility Deficits in Moderately Trained Participants","year":2022,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Sports injuries and prevention","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Range of motion; Flexibility (engineering); Static stretching; Medicine; Strength training; Rehabilitation; Physical therapy; Physical medicine and rehabilitation; Muscle strength; Physical strength; Mathematics","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":[0.000534173,0.0003575749,0.0003638669,0.0002257783,0.0003520489,0.0001666834,0.0003243465,0.000334914,0.001531854],"category_scores_gemma":[0.0004773065,0.0001462482,0.0003741488,0.00009804095,0.0001729127,0.0001352575,0.0004246617,0.0002874893,0.0001916495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001095632,"about_ca_system_score_gemma":0.0003455464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009479794,"about_ca_topic_score_gemma":0.001990862,"domain_scores_codex":[0.9998134,0.00004842995,0.00002481499,0.00003339075,0.00002999708,0.00005000513],"domain_scores_gemma":[0.9997609,0.00003695952,0.00004484864,0.00001350966,0.00002587186,0.0001179114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.05444973,0.0655094,0.1641699,0.001841657,0.000564685,0.001091721,0.003047544,0.0006000536,0.5075206,0.0001415245,0.0004776363,0.2005856],"study_design_scores_gemma":[0.001484926,0.1546541,0.8259656,0.00009152881,0.000214953,0.0003918957,0.0008539128,0.0005225034,0.01459567,0.00006724459,0.001130408,0.00002708411],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996752,0.00007162029,0.00008965422,0.00001150296,0.000006593382,0.0000332294,0.00000835841,0.000002225397,0.0001017631],"genre_scores_gemma":[0.9984835,0.0001442952,0.0006613468,0.00002704664,0.00001525269,0.0001144938,0.00005434181,0.00000114104,0.0004985665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001531854,"threshold_uncertainty_score":0.005124509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2934851969406377,"score_gpt":0.4804396837153259,"score_spread":0.1869544867746882,"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."}}