{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01314936,0.0005988363,0.0009563859,0.04269787,0.001309016,0.004803471,0.0008090648,0.0006520753,0.005180425],"category_scores_gemma":[0.09339599,0.0002270196,0.001175992,0.08082398,0.0009137183,0.002118842,0.003512947,0.0004830198,0.0009617035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002536742,"about_ca_system_score_gemma":0.004418154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01585533,"about_ca_topic_score_gemma":0.01249449,"domain_scores_codex":[0.9842353,0.005564353,0.002840903,0.001188919,0.00530296,0.0008675004],"domain_scores_gemma":[0.9029638,0.05389152,0.01426733,0.007283753,0.01995727,0.001636297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003702187,0.0002470651,0.7789338,0.005877589,0.0008210617,0.00082221,0.01687312,0.005750378,0.001849134,0.01218168,0.02355255,0.152721],"study_design_scores_gemma":[0.00004484308,0.0001393335,0.8980912,0.001208869,0.000333001,0.0003689197,0.02171575,0.006918255,0.001410474,0.003558264,0.06613056,0.00008048109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8872436,0.002386303,0.006866503,0.002431856,0.0001239151,0.0007802216,0.06051367,0.0003138982,0.03934001],"genre_scores_gemma":[0.9646785,0.001199957,0.004674147,0.0001598633,0.0001163323,0.001150209,0.0261921,0.0000766458,0.001752201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9573022,"threshold_uncertainty_score":0.06954134,"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."}}