{"id":"W3018076390","doi":"10.38124/ijisrt20apr398","title":"Hypothesis: Advanced Biotechnological Treatment Approaches Against SARS-CoV-2 (COVID-19)","year":2020,"lang":"en","type":"article","venue":"International Journal of Innovative Science and Research Technology (IJISRT)","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus; 2019-20 coronavirus outbreak; Intensive care medicine; Virology; Disease; Medicine; Drug; Infectious disease (medical specialty); Pharmacology; Internal medicine; Outbreak","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.002923335,0.0002356217,0.0004768879,0.003659328,0.000385067,0.000137905,0.001597652,0.0003091545,0.00000422002],"category_scores_gemma":[0.01364187,0.0001569946,0.00009228284,0.006720438,0.005865838,0.0004157659,0.0006585951,0.001460023,0.00002956337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001461998,"about_ca_system_score_gemma":0.003342944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001480224,"about_ca_topic_score_gemma":0.000003056665,"domain_scores_codex":[0.9954207,0.00009569804,0.0006524291,0.0006422097,0.002513115,0.0006758433],"domain_scores_gemma":[0.9942203,0.0002973738,0.0002832552,0.0003021403,0.004749905,0.0001470757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000860542,0.0003141797,0.007797429,0.00002555068,0.0001917385,0.001192541,0.0003603456,0.000001086602,0.831816,0.01023186,0.0003601738,0.1468486],"study_design_scores_gemma":[0.002519541,0.002832208,0.001004069,0.00009560319,0.000008305994,0.0006082527,0.005277491,0.000439595,0.9138239,0.002896144,0.07033693,0.0001579751],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8992053,0.0005238456,0.0006868279,0.09662212,0.0001111146,0.0004175819,0.00001094734,0.0001167153,0.002305515],"genre_scores_gemma":[0.9767938,0.0001434995,0.003777971,0.01903584,0.0001852733,0.00003911377,7.30036e-7,0.00001628318,0.000007503258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1466907,"threshold_uncertainty_score":0.9968396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3135671907369166,"score_gpt":0.4635307386270051,"score_spread":0.1499635478900885,"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."}}