{"id":"W4385741446","doi":"10.3390/sports11080151","title":"Evaluation of the Training Session in Elite Paralympic Powerlifting Athletes Based on Biomechanical and Thermal Indicators","year":2023,"lang":"en","type":"article","venue":"Sports","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Asymmetry; Bench press; Athletes; Mathematics; Lift (data mining); Physics; Animal science; Materials science; Physical therapy; Medicine; Computer science; Biology; Machine learning; Resistance training","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":[0.00302024,0.00009876677,0.0001989682,0.0004653013,0.0000417831,0.000002765923,0.00005466907,0.0000880911,0.00008925169],"category_scores_gemma":[0.0003486985,0.00006267742,0.00005621093,0.0009577466,0.00008049023,0.00001985152,0.000021547,0.000171096,0.000001359047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003488131,"about_ca_system_score_gemma":0.0001389756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006956354,"about_ca_topic_score_gemma":0.000001160413,"domain_scores_codex":[0.9982603,0.000121073,0.0002781325,0.0001843684,0.0009708804,0.0001852507],"domain_scores_gemma":[0.9994209,0.00009650202,0.0001336394,0.0002439611,0.00005211803,0.0000528379],"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":[0.0001219283,0.00008718473,0.3877232,0.00007254005,0.00002731983,0.00004104477,0.003493487,0.000242728,0.06322313,0.0001194899,0.00001876025,0.5448292],"study_design_scores_gemma":[0.001557715,0.00009935581,0.9780948,0.001326045,0.0001028957,0.000004144533,0.0006524964,0.01419182,0.003516282,0.0003348648,0.000051893,0.00006772375],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970475,0.0001060903,0.000004208415,0.0004557755,0.0001730345,0.0003999471,0.000002323878,0.00004000775,0.001771125],"genre_scores_gemma":[0.9994782,0.00001182133,0.00008723882,0.0003107205,0.0000538005,0.00001758391,0.0000158397,0.00001558183,0.000009192016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5903715,"threshold_uncertainty_score":0.2555911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03244980481147781,"score_gpt":0.3118562573015432,"score_spread":0.2794064524900654,"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."}}