{"id":"W3155019415","doi":"10.2196/28744","title":"Author’s Response to Peer Reviews of “Mass Testing With Contact Tracing Compared to Test and Trace for the Effective Suppression of COVID-19 in the United Kingdom: Systematic Review”","year":2021,"lang":"en","type":"article","venue":"JMIRx Med","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TRACE (psycholinguistics); Contact tracing; Coronavirus disease 2019 (COVID-19); Test (biology); Tracing; Psychology; Computer science; Medicine; Biology; Internal medicine; Philosophy; Linguistics; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0751359,0.002413236,0.008725247,0.007343675,0.005668255,0.008262551,0.004971176,0.03385451,0.03915364],"category_scores_gemma":[0.460234,0.00403303,0.008968218,0.005902991,0.004223994,0.005977156,0.007527801,0.01614464,0.01223643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01478075,"about_ca_system_score_gemma":0.03221497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01762011,"about_ca_topic_score_gemma":0.03085181,"domain_scores_codex":[0.8699895,0.04495577,0.04398739,0.007530171,0.02839127,0.005145955],"domain_scores_gemma":[0.6343653,0.1389952,0.05844152,0.009916877,0.1500573,0.008223855],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003162608,0.00002098873,0.0004775931,0.02485928,0.0006947792,0.0001841095,0.0004940211,0.0000777753,0.0001770702,0.0006139398,0.9656181,0.006466125],"study_design_scores_gemma":[0.002349791,0.0001725963,0.004658152,0.09249567,0.00240808,0.0004689654,0.001715697,0.0007392843,0.0006818476,0.003339045,0.8905765,0.0003943018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005720304,0.0128473,0.0008598124,0.7331625,0.2414415,0.001859605,0.006606455,0.000329287,0.002321414],"genre_scores_gemma":[0.009961727,0.01305538,0.00541128,0.8912731,0.05182691,0.01202427,0.002009717,0.000530392,0.01390721],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9248641,"threshold_uncertainty_score":0.3973614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1152097075850219,"score_gpt":0.3859761247561474,"score_spread":0.2707664171711255,"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."}}