{"id":"W3014240442","doi":"10.1002/ddr.21664","title":"The current drug discovery landscape for trypanosomiasis and leishmaniasis: Challenges and strategies to identify drug targets","year":2020,"lang":"en","type":"review","venue":"Drug Development Research","topic":"Trypanosoma species research and implications","field":"Medicine","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Ste. Anne's Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Neglected tropical diseases; Drug discovery; Leishmaniasis; Drug; Tropical disease; CRISPR; Biology; Drug resistance; Computational biology; Drug development; African trypanosomiasis; Leishmania; Disease; Medicine; Bioinformatics; Pharmacology; Trypanosomiasis; Computer science; Immunology; Pathology; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0007712916,0.0006013343,0.001487375,0.0006462564,0.001199365,0.001183364,0.0007610092,0.0001290784,0.00001692898],"category_scores_gemma":[0.0008835348,0.0003866687,0.0002432551,0.0006898694,0.0003583813,0.0003473962,0.00119817,0.001486356,0.0001154109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003117459,"about_ca_system_score_gemma":0.003346746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001530384,"about_ca_topic_score_gemma":0.0002806246,"domain_scores_codex":[0.9945834,0.0004743165,0.0008986972,0.001264764,0.001471085,0.001307716],"domain_scores_gemma":[0.9955923,0.002111388,0.0001537775,0.000730427,0.0005206485,0.0008914617],"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":[0.0000808078,0.00009169853,0.000006697248,0.01418606,0.0003387815,0.00001429182,0.002682472,2.6148e-8,0.000009541745,0.001519223,0.05381222,0.9272582],"study_design_scores_gemma":[0.0005101379,0.00006477086,0.00413635,0.004449336,0.0001217087,0.00002923074,0.00411506,0.000002442873,0.00002480595,0.0002636064,0.9858913,0.000391279],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004408422,0.9805671,0.00002108561,0.01228085,0.0001746137,0.005140245,0.0001318469,0.00006793596,0.00117546],"genre_scores_gemma":[0.0005369729,0.989892,0.000470862,0.00002828892,0.0004545316,0.004011193,0.0002610887,0.0001037133,0.004241315],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.932079,"threshold_uncertainty_score":0.9998585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1542866226947156,"score_gpt":0.4593390436714971,"score_spread":0.3050524209767815,"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."}}