{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004194743,0.00009357524,0.0002212998,0.0001991909,0.0001534605,0.00003159235,0.0002926666,0.00009799004,0.00002695377],"category_scores_gemma":[0.0006492262,0.0000760238,0.00002228398,0.0007361681,0.0004755118,0.000008197829,0.0008519241,0.0002517461,0.000002943054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002539913,"about_ca_system_score_gemma":0.00008014234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006425739,"about_ca_topic_score_gemma":0.0004968892,"domain_scores_codex":[0.9971466,0.001046749,0.0002962572,0.0006348558,0.000460837,0.0004146813],"domain_scores_gemma":[0.998604,0.0001150507,0.00005712561,0.00067824,0.0004290308,0.000116524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004967338,0.000873218,0.9714463,0.00004100521,0.00009565068,0.00000235781,0.0002888221,0.00001384847,0.02330869,0.0002097494,0.0006572936,0.002566366],"study_design_scores_gemma":[0.0007855375,0.004029505,0.9845376,0.00006304466,0.000005928441,4.474018e-7,0.0001282704,0.003009021,0.002806094,0.0008354816,0.003715669,0.0000833879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9108436,0.0000215546,0.0001005326,0.0001231803,0.000001395151,0.08868705,0.00003916969,0.000002184217,0.0001813232],"genre_scores_gemma":[0.7969885,0.00001521288,0.0005109124,0.000008800151,0.00008654246,0.2022767,0.00004774122,0.000006275674,0.00005939569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1138552,"threshold_uncertainty_score":0.310016,"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."}}