{"id":"W3045533501","doi":"10.2196/19615","title":"Global Research on Coronaviruses: An R Package","year":2020,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Computer science; Data science; Workflow; Scientometrics; Multidisciplinary approach; Dissemination; Pipeline (software); Set (abstract data type); Filter (signal processing); Information retrieval; World Wide Web; Database","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","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03428495,0.0001833859,0.0007034851,0.0001982715,0.0001483671,0.0001200581,0.002569097,0.0003639144,0.003428894],"category_scores_gemma":[0.1537738,0.0001141456,0.000214712,0.0009605146,0.001016297,0.00014615,0.001291789,0.004037549,0.0003776796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006098259,"about_ca_system_score_gemma":0.000525861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003490377,"about_ca_topic_score_gemma":0.0002028115,"domain_scores_codex":[0.9858783,0.004512526,0.001086457,0.0004323095,0.007153105,0.0009372394],"domain_scores_gemma":[0.9791219,0.01710674,0.0002133608,0.0004042494,0.001354168,0.001799568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001414325,0.001030304,0.01038781,0.0001988084,0.000204336,0.00253985,0.001361656,0.000003946856,0.00006077958,0.1209157,0.8393582,0.02252428],"study_design_scores_gemma":[0.004133134,0.02527704,0.01761661,0.001928405,0.0000455141,0.0002923145,0.006760023,0.004444533,0.0005809507,0.5596585,0.3787018,0.0005611643],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8508068,0.0006292186,0.003521273,0.1372664,0.0002947759,0.0003757976,0.00001519782,0.00005567441,0.007034898],"genre_scores_gemma":[0.9933143,0.0004542919,0.0006790033,0.003626327,0.001652416,0.000009808628,9.080111e-7,0.00002199675,0.0002409086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4606564,"threshold_uncertainty_score":0.9982602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7759128679443068,"score_gpt":0.6519109559752351,"score_spread":0.1240019119690717,"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."}}