{"id":"W286708135","doi":"","title":"HIGH POWER RESISTANCE EXERCISE OVER-REACHING CAN BE MONITORED WITH A TRAINING QUESTIONNAIRE","year":2014,"lang":"en","type":"article","venue":"TopSCHOLAR (Western Kentucky University)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Resistance training; Training (meteorology); Power (physics); Physical therapy; Resistance (ecology); Psychology; Medicine; Geography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001649361,0.0002728071,0.0002901878,0.0003969595,0.000247256,0.00009574161,0.0005960504,0.0001632742,0.00001342914],"category_scores_gemma":[0.00006146019,0.0002936971,0.00005125287,0.0005604352,0.0001217257,0.0007395608,0.0001476892,0.0007250403,0.000009903181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004478063,"about_ca_system_score_gemma":0.00003035909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004732924,"about_ca_topic_score_gemma":0.000419724,"domain_scores_codex":[0.9984915,0.00007049857,0.0001558326,0.0004016464,0.0003563209,0.0005242343],"domain_scores_gemma":[0.9990192,0.00004978079,0.00005727684,0.0006386059,0.00007877934,0.0001563257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003678982,0.0007223823,0.5377817,0.002223226,0.001706567,0.006788156,0.02638548,0.1107337,0.05538971,0.04117295,0.002764593,0.2106526],"study_design_scores_gemma":[0.01805749,0.00157007,0.3823177,0.008522991,0.0005889657,0.0001550755,0.01190794,0.003660983,0.03622834,0.003365449,0.5257843,0.007840727],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823139,0.0001002492,0.01307316,0.0003298091,0.0001508222,0.000240446,0.00001776909,0.001315065,0.002458826],"genre_scores_gemma":[0.9941127,0.00005819367,0.002810411,0.0000345706,0.00003629145,0.000003433893,0.00001236588,0.00006445811,0.002867523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5230197,"threshold_uncertainty_score":0.9999515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192839710828776,"score_gpt":0.2116088329784031,"score_spread":0.1996804358701154,"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."}}