{"id":"W4205551085","doi":"10.4269/ajtmh.21-1202","title":"Resilient Clinical Trial Infrastructure in Response to the COVID-19 Pandemic: Lessons Learned from the TOGETHER Randomized Platform Clinical Trial","year":2022,"lang":"en","type":"article","venue":"American Journal of Tropical Medicine and Hygiene","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of British Columbia","funders":"American Society of Tropical Medicine and Hygiene","keywords":"Clinical trial; Pandemic; Coronavirus disease 2019 (COVID-19); Randomized controlled trial; Enthusiasm; Dissemination; Medicine; Psychology; Computer science; Pathology; Disease","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":[0.4867093,0.0008717535,0.001702524,0.002517949,0.004907026,0.0204929,0.005754618,0.009769985,0.007666187],"category_scores_gemma":[0.574339,0.001114973,0.001756504,0.003273673,0.02149423,0.02487598,0.02016946,0.01473755,0.0007973231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0145222,"about_ca_system_score_gemma":0.05329045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003269971,"about_ca_topic_score_gemma":0.003145215,"domain_scores_codex":[0.5357957,0.4256155,0.01027124,0.009223069,0.01025923,0.00883531],"domain_scores_gemma":[0.3156191,0.5822116,0.02746504,0.04034745,0.01676449,0.01759227],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.001231064,0.0005190403,0.01067299,0.001773482,0.0006634367,0.0005891254,0.01301709,0.0184976,0.0005555336,0.759323,0.02510459,0.1680531],"study_design_scores_gemma":[0.001596425,0.001375366,0.005938292,0.003082652,0.0002857166,0.000189958,0.004874754,0.01272832,0.0008274366,0.8884714,0.08042505,0.000204544],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06552102,0.01036932,0.167732,0.7116269,0.002685857,0.004268926,0.0004497937,0.0006741586,0.0366721],"genre_scores_gemma":[0.7969235,0.003330607,0.1325583,0.05494759,0.001984007,0.006755852,0.0002779195,0.0003470579,0.002875169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5132907,"threshold_uncertainty_score":0.6329789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5506014594412011,"score_gpt":0.5378698729733684,"score_spread":0.01273158646783268,"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."}}