{"id":"W2803771229","doi":"10.2196/resprot.8243","title":"Recruitment and Participation of Recreational Runners in a Large Epidemiological and Genetic Research Study: Retrospective Data Analysis","year":2018,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Genetics and Physical Performance","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queensland University of Technology; Bond University","keywords":"Recreation; Epidemiology; Medicine; Gerontology; Data science; Environmental health; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01871756,0.0003446972,0.0004868702,0.002468926,0.0007838603,0.0007861257,0.0008184598,0.0005700676,0.0009577848],"category_scores_gemma":[0.0224365,0.0004660593,0.0005977318,0.002336061,0.0006816559,0.0006850332,0.0009698024,0.0004392578,0.0004221124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005058345,"about_ca_system_score_gemma":0.001502783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004048658,"about_ca_topic_score_gemma":0.004820771,"domain_scores_codex":[0.9851268,0.0086449,0.002516125,0.001164603,0.002039503,0.0005081],"domain_scores_gemma":[0.9814696,0.005643075,0.006152408,0.003314882,0.00249616,0.0009238205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001553872,0.00006584789,0.9969732,0.00004326531,0.00005830407,0.00009325124,0.0004587488,0.00003325597,0.000255237,0.00003918081,0.0001243333,0.001699991],"study_design_scores_gemma":[0.0000198485,0.0005331836,0.9967183,0.00005926194,0.00007280118,0.0003472933,0.00106542,0.000313058,0.0002537749,0.00004301862,0.0005631981,0.00001074319],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949904,0.0002098558,0.002623016,0.00006738337,0.000007061107,0.0006322514,0.001067599,0.000008517776,0.0003937658],"genre_scores_gemma":[0.9939578,0.0001766491,0.002854836,0.0000962519,0.00001066989,0.001132607,0.001547734,0.000008351069,0.0002151845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01871756,"threshold_uncertainty_score":0.09898907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5034585612771254,"score_gpt":0.6217157195072717,"score_spread":0.1182571582301463,"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."}}