{"id":"W159939317","doi":"","title":"TESTING MODALITY IS VITAL TO DETECT PERFORMANCE CHANGES IN OVERREACHING RESISTANCE EXERCISE","year":2014,"lang":"en","type":"article","venue":"TopSCHOLAR (Western Kentucky University)","topic":"Sports Performance and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Modality (human–computer interaction); Resistance training; Medicine; Computer science; Physical therapy; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001448202,0.0005168178,0.0006967418,0.0003602842,0.0002657208,0.0004372662,0.0003687515,0.0007135539,0.002579147],"category_scores_gemma":[0.003812317,0.000231074,0.0001917144,0.0002699343,0.0003380207,0.0004960697,0.0004040171,0.0003976679,0.0006234043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001266661,"about_ca_system_score_gemma":0.0001694489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009207144,"about_ca_topic_score_gemma":0.002198492,"domain_scores_codex":[0.9988683,0.0004026018,0.0001058542,0.0001577013,0.0003907625,0.00007467954],"domain_scores_gemma":[0.9978889,0.0007888459,0.0006766666,0.000144282,0.0003749393,0.0001264523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01599447,0.002501861,0.5552838,0.001116921,0.0003234057,0.0004667254,0.0008022391,0.0004869902,0.2091952,0.0001033725,0.001399218,0.2123258],"study_design_scores_gemma":[0.00008311037,0.01044198,0.9766421,0.0001386134,0.0001166732,0.0005412396,0.0003661449,0.0005997751,0.009852542,0.0001041071,0.001094224,0.00001931216],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920723,0.002320788,0.002224783,0.0002291724,0.00006741694,0.000156174,0.0001702612,0.00003528461,0.002723819],"genre_scores_gemma":[0.9921724,0.001499174,0.003604434,0.0002157805,0.00008023369,0.0002605648,0.0002234573,0.00002047783,0.001923489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002579147,"threshold_uncertainty_score":0.00862813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02551526009130325,"score_gpt":0.2395797836365905,"score_spread":0.2140645235452873,"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."}}