{"id":"W3084104727","doi":"10.2478/jdis-2020-0038","title":"Scientometric Analysis of Research Output from Brazil in Response to the Zika Crisis Using e-Lattes","year":2020,"lang":"en","type":"article","venue":"Journal of Data and Information Science","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Originality; Zika virus; Dimension (graph theory); Value (mathematics); Sociology; Library science; Public relations; Political science; Medicine; Social science; Computer science; Qualitative research","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics","metaresearch"],"domain":"evaluation","study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00862939,0.00005947779,0.0001822074,0.005794873,0.0002169673,0.0009001504,0.001777327,0.00002099672,0.00005264674],"category_scores_gemma":[0.005492511,0.00003817263,0.00002515966,0.03320878,0.0002276905,0.02483331,0.00108736,0.0001547521,0.0000222565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002475139,"about_ca_system_score_gemma":0.0001339791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004254499,"about_ca_topic_score_gemma":0.00002287253,"domain_scores_codex":[0.997762,0.00002601808,0.0005846497,0.0001372089,0.001316653,0.000173443],"domain_scores_gemma":[0.9978387,0.0002188969,0.0004267945,0.0003576206,0.001121859,0.00003617992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003129069,0.0002970892,0.5409482,0.0004589046,0.0003814061,0.00001745958,0.02108688,0.03963448,0.02571035,0.002932531,0.07071716,0.2946865],"study_design_scores_gemma":[0.0002575353,0.00003345347,0.4485036,0.00008846712,0.0001317788,0.000002255528,0.005785218,0.4100939,0.0002417716,0.00006644039,0.1346681,0.00012755],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788035,0.00008962727,0.01200995,0.008676639,0.0001194155,0.00007535653,0.00007849358,0.000003017064,0.0001439822],"genre_scores_gemma":[0.9968984,0.00004366853,0.0007626056,0.00217263,0.0001046861,2.42763e-7,0.00001524945,0.00000139906,0.000001185187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3704594,"threshold_uncertainty_score":0.9888058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3078280822000569,"score_gpt":0.444984785050678,"score_spread":0.1371567028506211,"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."}}