{"id":"W2801639712","doi":"10.1002/cmdc.201800161","title":"Fragment‐Based Phenotypic Lead Discovery: Cell‐Based Assay to Target Leishmaniasis","year":2018,"lang":"en","type":"article","venue":"ChemMedChem","topic":"Research on Leishmaniasis Studies","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Canadian Institutes of Health Research; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Phenotypic screening; Amastigote; Drug discovery; Axenic; Leishmania; Computational biology; Small molecule; Biology; Chemical library; Phenotype; Lead compound; Fragment (logic); Leishmaniasis; In vitro; Bioinformatics; Biochemistry; Genetics; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007530585,0.0006809667,0.000645857,0.0006155035,0.0002534261,0.0005918971,0.0005411511,0.0005204176,0.001615033],"category_scores_gemma":[0.000631146,0.0002654501,0.0002615095,0.0005996153,0.0004025629,0.0004339962,0.0006780337,0.0009659961,0.0006949393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003222951,"about_ca_system_score_gemma":0.0003440583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004024965,"about_ca_topic_score_gemma":0.000820274,"domain_scores_codex":[0.9994497,0.0001828286,0.00003576271,0.00006881784,0.0001960733,0.00006680041],"domain_scores_gemma":[0.9996787,0.0001355981,0.00004474404,0.00006034283,0.00004536042,0.00003525652],"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":[0.000361438,0.000177992,0.0004461005,0.0002097976,0.00001894759,0.0001244754,0.00003175445,0.001371111,0.9728047,0.0007283118,0.0006959289,0.02302943],"study_design_scores_gemma":[0.0001826125,0.003209206,0.001985277,0.00002280329,0.00004313864,0.0008807819,0.00002320166,0.007637285,0.976428,0.0005556357,0.009002938,0.0000290738],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5045804,0.01552354,0.4510156,0.001309638,0.0003275134,0.001773091,0.004762505,0.002725665,0.01798196],"genre_scores_gemma":[0.8760191,0.006263838,0.1074564,0.0004485959,0.00009868168,0.0007419967,0.002709263,0.00009268289,0.006169373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001615033,"threshold_uncertainty_score":0.005402863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03271862383978037,"score_gpt":0.3051362606192915,"score_spread":0.2724176367795111,"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."}}