{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001366774,0.0005446042,0.0002691551,0.001438236,0.001915953,0.003191386,0.0004228391,0.001898597,0.1286396],"category_scores_gemma":[0.002868759,0.0001993174,0.0002835772,0.00112301,0.0005415719,0.001802144,0.002022095,0.001589215,0.02003714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001345444,"about_ca_system_score_gemma":0.003375004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03039527,"about_ca_topic_score_gemma":0.06791512,"domain_scores_codex":[0.9994999,0.00008468579,0.00002983009,0.00004531214,0.0002253327,0.0001150057],"domain_scores_gemma":[0.9982494,0.0004340101,0.0001116866,0.00007716035,0.0004568762,0.0006708857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002022578,0.00001271394,0.0006602026,0.0001431728,0.000001992258,0.0002059575,0.0003979096,0.00001375487,0.0002584644,0.00137309,0.9627809,0.03413161],"study_design_scores_gemma":[0.000002049512,0.000005585519,0.001864106,0.00009668374,0.000002245489,0.0000800906,0.0002797084,0.00001471946,0.00004624858,0.0001456106,0.9974598,0.000003246504],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01259052,0.04344533,0.0006186505,0.2347965,0.06934123,0.0002245577,0.01767183,0.000979698,0.6203317],"genre_scores_gemma":[0.03938904,0.04088287,0.001183781,0.02289485,0.01838442,0.0001303806,0.007283045,0.0004114142,0.8694403],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1286396,"threshold_uncertainty_score":0.4303422,"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."}}