{"id":"W4416597815","doi":"10.5256/f1000research.11821.d168039","title":"Anthropometric and biochemical data for athletes and controls.","year":2017,"lang":"en","type":"dataset","venue":"Faculty of 1000 Research Ltd","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Athletes; Anthropometry; Physical activity; Physical exercise; Obesity","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":[0.001094034,0.001935046,0.001747733,0.002063727,0.0004588136,0.001384566,0.002087558,0.002065513,0.02962815],"category_scores_gemma":[0.007913743,0.0004932604,0.001131872,0.003629904,0.0002870683,0.0005947917,0.001226533,0.001430871,0.03546775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00073459,"about_ca_system_score_gemma":0.001856514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01842126,"about_ca_topic_score_gemma":0.02594697,"domain_scores_codex":[0.9989544,0.0001484955,0.0001642649,0.0003993535,0.0001953328,0.0001381808],"domain_scores_gemma":[0.9975737,0.0006013368,0.0004214912,0.0005323018,0.0006079687,0.0002633457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006156045,0.00007763575,0.01058614,0.0009904247,0.0001657106,0.00008130208,0.00002524814,0.0003055719,0.0001893291,0.0002972083,0.9808906,0.005775163],"study_design_scores_gemma":[0.001608664,0.0001534985,0.08167268,0.001729451,0.000425334,0.0005823753,0.0002106902,0.001186316,0.000976047,0.002334039,0.9090185,0.0001024906],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009633607,0.0001732994,0.0001053009,0.00006708491,0.00004436377,0.00001406859,0.997969,0.000124745,0.0005388266],"genre_scores_gemma":[0.002007426,0.000106529,0.0001937589,0.00006285548,0.00001933213,0.00009949682,0.996676,0.0000341146,0.0008004796],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02962815,"threshold_uncertainty_score":0.09911609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1561424086284484,"score_gpt":0.4713356878890968,"score_spread":0.3151932792606484,"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."}}