{"id":"W4390166157","doi":"10.1101/2023.12.21.23300369","title":"Cohort profile: OpenPROMPT","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Medical Research Council; National Institute for Health and Care Research; UK Research and Innovation; Department of Health and Social Care; Wellcome Trust","keywords":"Medicine; Cohort; Phone; Family medicine; Longitudinal study; Cohort study; Medical record; Quality of life (healthcare); Data collection; Gerontology; Nursing","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":[0.003397024,0.0004989925,0.0008591789,0.002280241,0.0008830989,0.001974232,0.001287869,0.0009294323,0.1446931],"category_scores_gemma":[0.02187002,0.000555647,0.001463622,0.003582343,0.0002157136,0.001455061,0.002365334,0.001114224,0.03208004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006166767,"about_ca_system_score_gemma":0.00240246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008899133,"about_ca_topic_score_gemma":0.0100309,"domain_scores_codex":[0.9977195,0.0005496339,0.0004767835,0.0005537195,0.0004292482,0.00027111],"domain_scores_gemma":[0.9863617,0.004096549,0.002228164,0.003388155,0.002580849,0.001344517],"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":[0.007799827,0.0002654873,0.2062146,0.003771013,0.0007047494,0.0009235141,0.001064197,0.0005665108,0.001130791,0.003097984,0.7106852,0.06377614],"study_design_scores_gemma":[0.002565173,0.001116045,0.3497005,0.003215754,0.0007783865,0.003141198,0.0008250079,0.001454609,0.001066015,0.005034475,0.6308899,0.0002128633],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"protocol","genre_scores_codex":[0.02275385,0.0004182428,0.004097848,0.0006562055,0.000177576,0.001798099,0.9549552,0.0009097712,0.01423318],"genre_scores_gemma":[0.1035586,0.001063222,0.01010479,0.002088611,0.0004578065,0.01502064,0.8275766,0.001747132,0.03838259],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.1446931,"threshold_uncertainty_score":0.4840468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03455031838270677,"score_gpt":0.3375345131172058,"score_spread":0.3029841947344991,"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."}}