{"id":"W6999160744","doi":"","title":"Conferencia online: Brasil tras el coronavirus","year":2020,"lang":"es","type":"other","venue":"Repositorio Académico UPC (Universidad Peruana de Ciencias Aplicadas)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public health; Coronavirus disease 2019 (COVID-19); Field (mathematics); Population","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.0009163961,0.004174207,0.00428799,0.002500526,0.00187575,0.001602464,0.007259854,0.005425651,0.007746165],"category_scores_gemma":[0.0006455979,0.005091737,0.002300184,0.005815746,0.001826136,0.001429843,0.001920616,0.006429642,0.01467573],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007558422,"about_ca_system_score_gemma":0.006790265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003821239,"about_ca_topic_score_gemma":0.0009423299,"domain_scores_codex":[0.9813612,0.001219043,0.002342369,0.006175893,0.004380877,0.004520622],"domain_scores_gemma":[0.9867491,0.000633413,0.003622006,0.003945833,0.0009246967,0.004124958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001809374,0.003773801,0.04027111,0.001333541,0.004416949,0.007594291,0.009615501,0.0001062085,0.6213142,0.03817305,0.2559375,0.01565458],"study_design_scores_gemma":[0.004749143,0.001201081,0.1025691,0.001933897,0.00351381,0.001386664,0.008139285,0.001785744,0.004777081,0.0001359905,0.863133,0.006675236],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4757578,0.008527275,0.0009951151,0.002048688,0.005536858,0.005651729,0.007395809,0.004161865,0.4899249],"genre_scores_gemma":[0.7924963,0.003670331,0.002994751,0.001781965,0.0130587,0.0001030016,0.001561491,0.005092347,0.1792411],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6165371,"threshold_uncertainty_score":0.999434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03034434619875164,"score_gpt":0.2910599667975287,"score_spread":0.260715620598777,"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."}}