{"id":"W3033259525","doi":"10.18280/isi.250203","title":"COVID-19, Bacille Calmette-Guérin (BCG) and Tuberculosis: Cases and Recovery Previsions with Deep Learning Sequence Prediction","year":2020,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Sequence (biology); Tuberculosis; Virology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Medicine; Sequence learning; Mycobacterium tuberculosis; Microbiology; Biology; Artificial intelligence; Computer science; Internal medicine; Genetics; Pathology; Infectious disease (medical specialty); Outbreak","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001617913,0.000753857,0.0005063371,0.001009663,0.0002485346,0.0008213581,0.0009328302,0.001010195,0.001279177],"category_scores_gemma":[0.004601676,0.0002711668,0.0005476546,0.0006302326,0.0004083262,0.001125615,0.0007357229,0.001336028,0.0002715828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051213,"about_ca_system_score_gemma":0.001086056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02248139,"about_ca_topic_score_gemma":0.01842811,"domain_scores_codex":[0.9995075,0.0001575075,0.00003452347,0.0001586348,0.00005479691,0.00008689073],"domain_scores_gemma":[0.9984936,0.001002938,0.0001872336,0.00007097259,0.0001556938,0.00008954842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005504396,0.000368616,0.09337542,0.0001079194,0.0001420043,0.0002607104,0.0001104042,0.8045393,0.0007230522,0.002799012,0.002569097,0.09445412],"study_design_scores_gemma":[0.000007747413,0.00004074683,0.003030531,0.00001129703,0.00001580517,0.00002382794,0.00001625614,0.9945416,0.0002712281,0.001728913,0.0003067113,0.000005395625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8121777,0.002909411,0.1718706,0.004520022,0.0002534877,0.0001218944,0.002365127,0.0007490151,0.005032898],"genre_scores_gemma":[0.9848113,0.0002869701,0.01166704,0.0001747654,0.00004601823,0.00003989887,0.001248646,0.00001344491,0.001711876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02248139,"threshold_uncertainty_score":0.04470104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0338992297906429,"score_gpt":0.2799560116419135,"score_spread":0.2460567818512706,"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."}}