{"id":"W4311586875","doi":"10.1186/s13104-022-06263-1","title":"Competition for recruitment in SARS-CoV-2 Trials in the United States: a longitudinal cohort analysis","year":2022,"lang":"en","type":"article","venue":"BMC Research Notes","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Ethica (Canada)","funders":"Narodowe Centrum Nauki","keywords":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Cohort; 2019-20 coronavirus outbreak; Competition (biology); Medicine; Cohort study; Sars virus; Demography; Virology; Biology; Outbreak; Disease; Infectious disease (medical specialty); Internal medicine; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch","metaepi_broad"],"domain":"methods","study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.176629,0.0001329742,0.0008444142,0.002474014,0.0003344441,0.00009580921,0.0006051445,0.0001392225,0.000263627],"category_scores_gemma":[0.1521812,0.00009456724,0.0003512811,0.006539132,0.0003687994,0.00004807843,0.0003844701,0.003125536,0.00001562169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007385077,"about_ca_system_score_gemma":0.000891531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00634639,"about_ca_topic_score_gemma":0.01779285,"domain_scores_codex":[0.9824257,0.0107174,0.001316278,0.0007008632,0.003985405,0.000854318],"domain_scores_gemma":[0.7865826,0.2111966,0.0001549962,0.0009941761,0.0009635927,0.0001080103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005129533,0.001815881,0.9596608,0.0004437859,0.0005228817,0.0001624887,0.001687274,0.001871488,0.00154787,0.02532654,0.001297559,0.0005339435],"study_design_scores_gemma":[0.01018295,0.004980782,0.7567829,0.000395873,0.0005054614,0.00001388137,0.009061903,0.03774891,0.003445697,0.1591578,0.01735093,0.0003728572],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755558,0.0001737197,0.001507499,0.01603214,0.00004805025,0.00620525,0.0001300199,0.00001884802,0.0003286271],"genre_scores_gemma":[0.9907681,0.000594523,0.001134354,0.0006228578,0.0001057924,0.005749336,0.0008128628,0.00002165534,0.0001905559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2028778,"threshold_uncertainty_score":0.9991743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9400359417216635,"score_gpt":0.7114902230524065,"score_spread":0.228545718669257,"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."}}