{"id":"W2461023984","doi":"10.1016/j.proeng.2016.06.322","title":"Statistical Analyses of Unidirectional Static Forces on Instrumented Rowing Oarlocks","year":2016,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Sports Performance and Training","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Rowing; Reliability (semiconductor); Calibration; Simulation; Engineering; Force transducer; Power (physics); Mathematics; Statistics; Acoustics; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01131509,0.0007582397,0.001081128,0.003250757,0.0007274314,0.001002501,0.001133025,0.0005484293,0.00294858],"category_scores_gemma":[0.04731204,0.0003503887,0.001427357,0.003971702,0.001681753,0.0006546935,0.001233811,0.001251937,0.0004796464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006653319,"about_ca_system_score_gemma":0.0008115546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002768533,"about_ca_topic_score_gemma":0.003463484,"domain_scores_codex":[0.9884408,0.002521027,0.001867943,0.001829896,0.004750045,0.0005903231],"domain_scores_gemma":[0.9380876,0.03422273,0.009293347,0.006153225,0.01147439,0.0007687893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00536236,0.001470742,0.8476913,0.001391413,0.001703539,0.0005664491,0.005229132,0.003763302,0.0290124,0.001522884,0.001806188,0.1004802],"study_design_scores_gemma":[0.00006140295,0.003752049,0.9735834,0.00008553711,0.0002841104,0.0001989605,0.00188229,0.008065195,0.008619947,0.0004601222,0.002956755,0.00005027767],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.963589,0.0003554396,0.02829822,0.00004715324,0.0001449484,0.001384305,0.002968865,0.000247436,0.002964685],"genre_scores_gemma":[0.9680109,0.0001469474,0.02446942,0.00003920774,0.00005197036,0.003351135,0.002070958,0.0001480924,0.001711389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01131509,"threshold_uncertainty_score":0.05984062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03071812732605649,"score_gpt":0.308227370822051,"score_spread":0.2775092434959945,"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."}}