{"id":"W2909405198","doi":"10.1139/apnm-2018-0774","title":"Regional and muscle-specific adaptations in knee extensor hypertrophy using flywheel versus conventional weight-stack resistance exercise","year":2019,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Sports Performance and Training","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centrum för idrottsforskning; Vetenskapsrådet","keywords":"Muscle hypertrophy; Vastus medialis; Medicine; Eccentric; Magnetic resonance imaging; Squat; Resistance training; Cardiology; Internal medicine; Electromyography; Anatomy; Physical therapy; Physical medicine and rehabilitation; Radiology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002553811,0.0004074562,0.000332204,0.0001331882,0.00008724212,0.0001065365,0.0001588109,0.0001887398,0.0006172648],"category_scores_gemma":[0.0003313323,0.00011734,0.0001657013,0.00006629111,0.0001467833,0.000160376,0.0001550317,0.0001760533,0.00009039875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006620974,"about_ca_system_score_gemma":0.00007084198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000486128,"about_ca_topic_score_gemma":0.001664699,"domain_scores_codex":[0.999881,0.00003735441,0.000009748737,0.00002497288,0.00002243494,0.00002448452],"domain_scores_gemma":[0.9999142,0.00002070931,0.00002419603,0.00001117211,0.000008034967,0.00002175281],"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":[0.02624623,0.004139079,0.01880424,0.000368266,0.000398269,0.0001236667,0.0002160607,0.0008352154,0.9056286,0.00002565981,0.00008533675,0.04312945],"study_design_scores_gemma":[0.001765419,0.1750287,0.6640282,0.00005641126,0.0005218285,0.0005330039,0.0005275174,0.002254666,0.1533078,0.0000805286,0.001854866,0.00004114222],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998105,0.00005164504,0.00007913911,0.000002818337,0.00000203881,0.000005466966,0.000006726516,0.000001989639,0.00003971107],"genre_scores_gemma":[0.9987268,0.0001261533,0.0005907197,0.00001889281,0.00001038312,0.00003539144,0.00007734684,0.00000324812,0.0004110999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006172648,"threshold_uncertainty_score":0.002064943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0352016613030272,"score_gpt":0.2596523057089259,"score_spread":0.2244506444058987,"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."}}