{"id":"W3012836733","doi":"","title":"[Rower with Danish record in maximal oxygen uptake].","year":2020,"lang":"en","type":"article","venue":"PubMed","topic":"Sports Performance and Training","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Bank Note Company (Canada)","funders":"","keywords":"Rowing; VO2 max; Animal science; Medal; Mathematics; Danish; Body weight; Geography; Biology; Medicine; Internal medicine; Forestry; Archaeology; Heart rate","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":[0.0001484217,0.0006125362,0.0004041313,0.0005838947,0.000303958,0.0002601733,0.0007691606,0.0007202073,0.06064006],"category_scores_gemma":[0.0006879137,0.0001719571,0.0001569707,0.0003461444,0.000178738,0.0003641144,0.0005724552,0.0008152506,0.01724677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001049853,"about_ca_system_score_gemma":0.0002158444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002783551,"about_ca_topic_score_gemma":0.00462018,"domain_scores_codex":[0.9998592,0.00001957337,0.00001760761,0.00005601548,0.00002579939,0.00002179822],"domain_scores_gemma":[0.9998389,0.00002628406,0.00001760198,0.00003336989,0.00004970577,0.00003403428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.003761105,0.000750638,0.03358064,0.001332864,0.0001321868,0.04791623,0.001050227,0.0002896725,0.02822652,0.003241845,0.5224019,0.3573162],"study_design_scores_gemma":[0.0003270535,0.001051734,0.1249775,0.0005251593,0.00007697123,0.05112199,0.0005211803,0.0006515499,0.004640972,0.00176216,0.8141918,0.0001518507],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2560577,0.01678006,0.02986485,0.02144983,0.01559265,0.001902466,0.09238288,0.004471194,0.5614983],"genre_scores_gemma":[0.5250619,0.006039461,0.02234374,0.00752839,0.000812487,0.0007890554,0.03210097,0.0005140625,0.4048099],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06064006,"threshold_uncertainty_score":0.2028612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04091170005259444,"score_gpt":0.2196977788051768,"score_spread":0.1787860787525823,"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."}}