{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001376856,0.0003462274,0.0004262448,0.0006235776,0.0001924081,0.0002694858,0.0003302601,0.0004458484,0.004370643],"category_scores_gemma":[0.003013117,0.0001735754,0.0003502007,0.0004942146,0.000148804,0.0004117209,0.0003961312,0.0004530671,0.0009054655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001400234,"about_ca_system_score_gemma":0.0001591208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001091265,"about_ca_topic_score_gemma":0.002558219,"domain_scores_codex":[0.9990665,0.000336665,0.000138653,0.00009678907,0.0003042031,0.00005725573],"domain_scores_gemma":[0.9965332,0.0008628655,0.001467792,0.0002134009,0.0005128438,0.000409846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007605766,0.009134304,0.8183465,0.00117476,0.0004745121,0.0003726946,0.001270587,0.0005284389,0.0347978,0.0001147252,0.006481176,0.1196989],"study_design_scores_gemma":[0.00008941934,0.003480041,0.9946193,0.00001715262,0.00003057806,0.0001126685,0.00008545173,0.0001361375,0.0006814989,0.00001242547,0.0007250306,0.00001024832],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900535,0.000273081,0.001320392,0.00006898041,0.00001778765,0.001256699,0.002162505,0.00007096216,0.004776177],"genre_scores_gemma":[0.9872098,0.0004689522,0.00353885,0.0001221126,0.00003324397,0.001786713,0.002566564,0.00001377439,0.004260036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004370643,"threshold_uncertainty_score":0.0146212,"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."}}