{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004977862,0.0002099717,0.0003510157,0.0004639179,0.0001958783,0.00004115751,0.0002132636,0.0001046421,0.0000197587],"category_scores_gemma":[0.00006764034,0.0002308473,0.00005646548,0.0007532008,0.00003705091,0.0005666261,0.0001296114,0.0004398789,0.00004666884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001973599,"about_ca_system_score_gemma":0.00004975729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008531651,"about_ca_topic_score_gemma":0.0004180343,"domain_scores_codex":[0.9985968,0.00002490644,0.000193247,0.0004541656,0.0002978388,0.0004330152],"domain_scores_gemma":[0.9991204,0.00003512211,0.0000950725,0.0004473037,0.0000871127,0.000215061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003665013,0.0000384997,0.9743973,0.0001526451,0.00001353119,0.0001383311,0.001516332,0.000028988,0.001440574,0.00002115087,0.00001108447,0.02187509],"study_design_scores_gemma":[0.001585097,0.000233814,0.9753169,0.001259701,0.00006958896,0.00002388017,0.0003070575,0.000220752,0.003822703,0.00001494844,0.01684199,0.0003035963],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989229,0.00004237953,0.0001007188,0.0003574528,0.00009121828,0.0002960095,0.00000343818,0.0001158114,0.009764013],"genre_scores_gemma":[0.9935546,0.0000336391,0.001580224,0.0005386092,0.000102865,0.000002091771,0.000007326662,0.00002549905,0.004155174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02157149,"threshold_uncertainty_score":0.9413678,"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."}}