{"id":"W1978165365","doi":"10.1519/jsc.0b013e3181e3826e","title":"The Effect of an Upper-Body Agonist-Antagonist Resistance Training Protocol on Volume Load and Efficiency","year":2010,"lang":"en","type":"article","venue":"The Journal of Strength and Conditioning Research","topic":"Sports Performance and Training","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Bench press; Resistance training; Set (abstract data type); Volume (thermodynamics); Test bench; Session (web analytics); Rest (music); Training set; Medicine; Mathematics; Computer science; Physical therapy; Internal medicine; Artificial intelligence; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005281165,0.0001098955,0.000238912,0.0001209184,0.0008963339,0.0000958149,0.0001717378,0.00005851358,0.00003409685],"category_scores_gemma":[0.0004376915,0.00005515945,0.00004649511,0.0001858054,0.000899336,0.0001356049,0.00002791077,0.001188042,0.000001577816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002807514,"about_ca_system_score_gemma":0.000358428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001658668,"about_ca_topic_score_gemma":0.00002245178,"domain_scores_codex":[0.9983076,0.0001191068,0.0003633823,0.0001164009,0.0007776208,0.0003158632],"domain_scores_gemma":[0.9984154,0.0006805595,0.0002137294,0.0002301074,0.0002993212,0.0001608821],"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":[0.0524912,0.001058387,0.339962,0.002045379,0.0007689501,0.0007276209,0.04028923,0.00005425646,0.1191785,0.005633446,0.004957232,0.4328338],"study_design_scores_gemma":[0.02133557,0.04012269,0.7980011,0.003193525,0.0003875509,0.002915481,0.01870947,0.003915137,0.07745984,0.00109234,0.03232757,0.0005397569],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930321,0.00007554262,0.000001545592,0.0005677168,0.0000697831,0.00319927,0.000003535873,0.000008077853,0.003042434],"genre_scores_gemma":[0.9985224,0.00003484868,0.00005999536,0.00001829919,0.0002380246,0.0003438383,0.000002212264,0.00001157375,0.0007688303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4580391,"threshold_uncertainty_score":0.6893967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0218886740332069,"score_gpt":0.3626792531764965,"score_spread":0.3407905791432896,"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."}}