{"id":"W3210586995","doi":"10.4337/9781789906530.00018","title":"The age-performance profile of professional and recreational marathon runners","year":2021,"lang":"en","type":"book-chapter","venue":"Edward Elgar Publishing eBooks","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pension; German; Homogeneous; Recreation; Productivity; Psychology; Political science; Demographic economics; Demography; Geography; Sociology; Law; Economic growth; Economics; Mathematics","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":[0.0003411183,0.0002180058,0.0001600369,0.0008914478,0.0004137026,0.0005803298,0.000271369,0.0004032712,0.005554804],"category_scores_gemma":[0.001078496,0.0001242062,0.0001866487,0.0005044669,0.0001883514,0.0007046094,0.0006619056,0.000357848,0.003266459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002193577,"about_ca_system_score_gemma":0.0002804683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009152504,"about_ca_topic_score_gemma":0.02220333,"domain_scores_codex":[0.9998218,0.00002206131,0.00001317031,0.00004788777,0.00002869601,0.00006629096],"domain_scores_gemma":[0.9994473,0.00003021434,0.0001548154,0.00001523942,0.0001240377,0.0002284605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001481845,0.00008696336,0.9827355,0.00003585012,0.00002158079,0.0001669869,0.001345609,0.00009112874,0.0006870343,0.0001436273,0.001069708,0.0134679],"study_design_scores_gemma":[0.000001702925,0.0001283107,0.9973732,0.00002110576,0.000006267738,0.0001658343,0.001218009,0.00009298649,0.00004619534,0.0001007531,0.0008395159,0.000006053559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968521,0.000347973,0.00008472655,0.0001275454,0.00001069259,0.000004456673,0.0003499775,0.000003749969,0.002218789],"genre_scores_gemma":[0.9939989,0.0004203593,0.0000756493,0.00005021186,0.00002516594,0.000007563237,0.0009663727,0.000005563618,0.004450239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009152504,"threshold_uncertainty_score":0.01858264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03236655837102147,"score_gpt":0.2779243628660308,"score_spread":0.2455578044950094,"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."}}