{"id":"W6907998267","doi":"10.25446/oxford.24771849","title":"31844: Covid Cohort","year":2023,"lang":"en","type":"other","venue":"University of Oxford","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nephew and niece; Coronavirus disease 2019 (COVID-19); Cohort; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002077377,0.0005612471,0.0005208602,0.001942993,0.006029717,0.00331815,0.001577395,0.001244972,0.469858],"category_scores_gemma":[0.006858147,0.0005236628,0.000288901,0.002066264,0.0004124239,0.002474726,0.005450838,0.002019904,0.233462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002036096,"about_ca_system_score_gemma":0.007979584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06383856,"about_ca_topic_score_gemma":0.1191098,"domain_scores_codex":[0.9986635,0.0001592926,0.00009225492,0.000185906,0.0003208808,0.0005781719],"domain_scores_gemma":[0.9942828,0.0002799603,0.0002681216,0.0003708946,0.001622497,0.003175646],"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":[0.000171112,0.0001161545,0.01014889,0.00005763186,0.000002803838,0.0001186033,0.0003311893,0.0000109371,0.00007319119,0.0009707637,0.9670982,0.02090054],"study_design_scores_gemma":[0.000231536,0.0001619259,0.04521539,0.0006822548,0.00001099903,0.0005552898,0.003223315,0.00009727639,0.0001554815,0.0009366018,0.9486735,0.00005645878],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04544715,0.001174388,0.0007842464,0.01391605,0.002221016,0.002753589,0.2358775,0.001268659,0.6965573],"genre_scores_gemma":[0.04834912,0.001037059,0.001236098,0.01435923,0.0007490708,0.005369364,0.05560193,0.001159746,0.8721384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.469858,"threshold_uncertainty_score":0.7561832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01468873461239771,"score_gpt":0.213816306170245,"score_spread":0.1991275715578473,"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."}}