{"id":"W4398659495","doi":"10.7910/dvn/95iwxt","title":"A living mapping review for COVID-19 funded research projects: two year update","year":2023,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Innovative Approaches in Technology and Social Development","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Geography; Data science; Computer science; Virology; Medicine; Outbreak","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.008695311,0.0004202614,0.0006590636,0.001206553,0.0009962472,0.0003050531,0.001648924,0.0004334786,0.002460047],"category_scores_gemma":[0.0092284,0.000428102,0.0001491325,0.002561607,0.0003477613,0.0004710219,0.003187269,0.001104686,0.1298578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003869991,"about_ca_system_score_gemma":0.0004670468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001133738,"about_ca_topic_score_gemma":0.0003938068,"domain_scores_codex":[0.9966793,0.0001170579,0.0006750561,0.0009636683,0.0006835687,0.0008813561],"domain_scores_gemma":[0.9972525,0.0004304214,0.0005019634,0.001227576,0.0005539528,0.00003354633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002307968,0.00005875614,0.00002113784,0.01199909,0.0001518311,0.00005125585,0.00002852207,3.481623e-7,0.000001004834,0.01512979,0.9721704,0.0003647954],"study_design_scores_gemma":[0.0004086379,0.000007528115,0.00001274464,0.002331887,0.0001048675,0.000001731202,0.0008835407,0.00002145578,4.314795e-7,0.003123523,0.9926139,0.0004897165],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006037906,0.00002981676,0.0005768812,0.0005670433,0.00120779,0.003706408,0.9920183,0.00054859,0.001339088],"genre_scores_gemma":[0.000005024047,0.002315412,0.001133248,0.0115218,0.001308683,0.001305849,0.9817104,0.00007443663,0.0006251434],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1273977,"threshold_uncertainty_score":0.9998171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1798208577320025,"score_gpt":0.3732300533745209,"score_spread":0.1934091956425184,"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."}}