{"id":"W3040511919","doi":"10.51847/q3egbyl","title":"10.51847/Q3eGByl","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydroxychloroquine; Chloroquine; Quinine; Angiotensin-converting enzyme 2; Docking (animal); Coronavirus disease 2019 (COVID-19); Pharmacology; Enzyme; Virology; Antidote; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Chemistry; Biology; Medicine; Malaria; Biochemistry; Internal medicine; Immunology; Toxicity; Infectious disease (medical specialty); Veterinary medicine","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007066547,0.001875463,0.0008117395,0.002235965,0.001131062,0.002809434,0.001796648,0.003156203,0.9795635],"category_scores_gemma":[0.001447521,0.0005374431,0.0006328974,0.00196417,0.001101336,0.00209464,0.003397074,0.001423821,0.9824557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001191041,"about_ca_system_score_gemma":0.000673913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004743016,"about_ca_topic_score_gemma":0.003422824,"domain_scores_codex":[0.9996318,0.00003675573,0.00002318635,0.000103366,0.0001309479,0.00007389035],"domain_scores_gemma":[0.9991873,0.000185597,0.00004259203,0.0001922895,0.0001907772,0.0002013724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002043367,0.0001670109,0.0006693855,0.0002620276,0.00001815798,0.000220425,0.00004843683,0.0006079212,0.002518888,0.007431763,0.4382906,0.5495611],"study_design_scores_gemma":[0.00006335141,0.00003601076,0.0005790266,0.0001314616,0.000005836358,0.0001706719,0.00004666903,0.0006679785,0.0006097014,0.002441783,0.9952331,0.00001450523],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00095389,0.0004727372,0.004087793,0.001134533,0.0006179365,0.0001634592,0.004423218,0.004793687,0.9833528],"genre_scores_gemma":[0.002717294,0.0001747101,0.001408065,0.0004702598,0.00004997105,0.00006163532,0.002082453,0.0007595186,0.9922761],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02043647,"threshold_uncertainty_score":0.02915013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01037937517117862,"score_gpt":0.2285376432309198,"score_spread":0.2181582680597411,"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."}}