{"id":"W2124709976","doi":"","title":"Dynamic training volume: a construct of both time under tension and volume load.","year":2006,"lang":"en","type":"article","venue":"PubMed","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Isometric exercise; Volume (thermodynamics); Resistance training; Medicine; Protocol (science); Electromyography; Elbow; Physical medicine and rehabilitation; Elbow flexion; Physical therapy; Computer science; Surgery","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":[0.001869543,0.0004684102,0.0003261863,0.001132871,0.0002551248,0.0009006445,0.000746736,0.0005694887,0.003613985],"category_scores_gemma":[0.004801132,0.0002305951,0.0004608732,0.001059281,0.0009306242,0.001136865,0.0009941775,0.0006712852,0.0004112245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004480108,"about_ca_system_score_gemma":0.0002868111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007882569,"about_ca_topic_score_gemma":0.001501749,"domain_scores_codex":[0.9974565,0.0007070303,0.0002002908,0.0002676053,0.001263988,0.0001046219],"domain_scores_gemma":[0.9962587,0.001522691,0.001246529,0.0003244506,0.0003696073,0.0002779674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006232702,0.002572074,0.1561243,0.002614168,0.0009263183,0.0002926061,0.003281282,0.008641371,0.2995714,0.005093797,0.001877743,0.5127723],"study_design_scores_gemma":[0.0001657092,0.01791185,0.9070007,0.0004460214,0.0004979339,0.0008423331,0.001320166,0.007604097,0.03974587,0.003245866,0.02103112,0.0001883797],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8861857,0.006383667,0.09009842,0.0005074355,0.0004118662,0.0008135086,0.0009472056,0.0003403684,0.01431175],"genre_scores_gemma":[0.9681838,0.0009423552,0.02626649,0.0001323407,0.0001963808,0.0009127224,0.0005172712,0.00008026906,0.002768396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003613985,"threshold_uncertainty_score":0.01208997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007700177974866633,"score_gpt":0.1716795546369001,"score_spread":0.1639793766620334,"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."}}