{"id":"W4366178534","doi":"10.1038/s43856-023-00281-1","title":"The importance of appropriate selection of clinical endpoints in outpatient COVID-19 clinical trials","year":2023,"lang":"en","type":"review","venue":"Communications Medicine","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Selection (genetic algorithm); Clinical trial; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Intensive care medicine; Computer science; Virology; Internal medicine; Artificial intelligence; Outbreak; Infectious disease (medical specialty)","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4190721,0.0008351504,0.006513368,0.002946029,0.001076675,0.009871597,0.003003373,0.005129401,0.002466416],"category_scores_gemma":[0.5337917,0.0008995874,0.003361259,0.00487669,0.003417143,0.007236908,0.00277216,0.009512713,0.0008186822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003591665,"about_ca_system_score_gemma":0.01542027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001311342,"about_ca_topic_score_gemma":0.001906023,"domain_scores_codex":[0.5054391,0.4228271,0.04426231,0.00431995,0.0219639,0.00118755],"domain_scores_gemma":[0.2680433,0.6689743,0.0295359,0.01142846,0.02013998,0.001878189],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003725403,0.0005035263,0.006520958,0.08892591,0.003709958,0.0003147281,0.002440305,0.003414581,0.0007678519,0.08140951,0.04050795,0.7677594],"study_design_scores_gemma":[0.004818582,0.002590753,0.02229518,0.3549828,0.004944379,0.001057232,0.002177779,0.005068445,0.002612709,0.166987,0.4320162,0.0004489916],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008713139,0.7826238,0.0661499,0.1050065,0.008206262,0.009291419,0.001356125,0.000151661,0.01850121],"genre_scores_gemma":[0.2164819,0.4170879,0.2505789,0.07237747,0.01005507,0.02939978,0.00198299,0.0003467682,0.001689056],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5809279,"threshold_uncertainty_score":0.7163875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9407688146128442,"score_gpt":0.7069308898320102,"score_spread":0.233837924780834,"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."}}