{"id":"W3133992448","doi":"10.1016/j.pt.2021.01.009","title":"MalDA, Accelerating Malaria Drug Discovery","year":2021,"lang":"en","type":"review","venue":"Trends in Parasitology","topic":"Malaria Research and Control","field":"Medicine","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; McGill University Health Centre","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health; Medicines for Malaria Venture; Wellcome Trust; Bill and Melinda Gates Foundation","keywords":"Druggability; Drug discovery; Malaria; Identification (biology); Process (computing); Drug; Computer science; Medicine; Risk analysis (engineering); Pharmacology; Bioinformatics; Biology; Immunology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004041244,0.0004993044,0.003440261,0.0009092008,0.00006120102,0.0000837152,0.0003356063,0.0005876947,0.002260862],"category_scores_gemma":[0.0002599185,0.0003981481,0.000685336,0.0009450788,0.0001173417,0.0001088434,0.00018958,0.00158534,0.0001440109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001868033,"about_ca_system_score_gemma":0.0006635088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000113697,"about_ca_topic_score_gemma":0.0002862617,"domain_scores_codex":[0.9964889,0.0006576965,0.0008850085,0.0008095349,0.0003208576,0.0008379925],"domain_scores_gemma":[0.9982894,0.0004375573,0.0002281822,0.0007838595,0.00005357305,0.0002074266],"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":[0.00005238696,0.0001829344,0.0008348883,0.003668844,0.000432859,0.004085125,0.00002758749,3.740234e-7,8.174177e-7,0.00918486,0.004450284,0.977079],"study_design_scores_gemma":[0.00167384,0.0001324609,0.0021321,0.008047551,0.00112897,0.001708765,0.00003096231,0.00002847493,0.000001589797,0.00004330008,0.9846215,0.0004504534],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003074412,0.9772293,0.00002340097,0.001333564,0.0005085513,0.0004055958,0.00003334523,0.00004990537,0.02038561],"genre_scores_gemma":[0.0004065775,0.9725974,0.0003541729,0.0001272968,0.0006624046,0.0003489159,0.0007897137,0.00006746505,0.0246461],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9801713,"threshold_uncertainty_score":0.9998471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07919341917350954,"score_gpt":0.438352097877358,"score_spread":0.3591586787038485,"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."}}