{"id":"W4402135912","doi":"10.5958/2348-1773.2024.00001.5","title":"Scientometric analysis on covid-19 pandemic publications: A study","year":2024,"lang":"en","type":"article","venue":"Journal of Information Management","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Medicine; Outbreak; Infectious disease (medical specialty); Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.009654644,0.0006719339,0.001288194,0.09473404,0.001763146,0.005343509,0.0007457049,0.0006661701,0.005839045],"category_scores_gemma":[0.06961422,0.0002283551,0.001838031,0.1633544,0.001285077,0.00400908,0.002602269,0.0004802977,0.00134701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002434468,"about_ca_system_score_gemma":0.003495082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003535065,"about_ca_topic_score_gemma":0.003091092,"domain_scores_codex":[0.9831246,0.004679731,0.003116848,0.001340958,0.00678111,0.0009567445],"domain_scores_gemma":[0.9146086,0.05399334,0.01382667,0.003635279,0.01187073,0.002065428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002875447,0.0002630273,0.8497007,0.004322675,0.001172829,0.001036203,0.006577365,0.001352201,0.0005067935,0.004885424,0.01238558,0.1175096],"study_design_scores_gemma":[0.0000394284,0.000176181,0.9400651,0.0009582934,0.0008553607,0.001199177,0.0140391,0.004908646,0.0007550216,0.004589596,0.0323321,0.00008201863],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9433017,0.01042921,0.003520804,0.001786963,0.0001661529,0.0005035871,0.01993799,0.0001616339,0.02019188],"genre_scores_gemma":[0.9812082,0.004461315,0.001681588,0.00009038812,0.0003124881,0.0003689824,0.01059933,0.00005274173,0.001224886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.905266,"threshold_uncertainty_score":0.05105925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2622723408739469,"score_gpt":0.5115589224661299,"score_spread":0.249286581592183,"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."}}