{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":6,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":6,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"0fa6d92076ec","filters":{"venue":"In Silico Pharmacology"}},"results":[{"id":"W2171183822","doi":"10.1186/s40203-014-0003-9","title":"Characterizing plasma albumin concentration changes in TB/HIV patients on anti retroviral and anti –tuberculosis therapy","year":2014,"lang":"en","type":"article","venue":"In Silico Pharmacology","topic":"HIV-related health complications and treatments","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Karolinska Institutet; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Tuberculosis; Antiretroviral therapy; Human immunodeficiency virus (HIV); Albumin; Medicine; Antiretroviral medication; Virology; Internal medicine; Pathology; Viral load","authors":[{"name":"Kuteesa R. Bisaso","is_ca":false},{"name":"Joel Owen","is_ca":false},{"name":"Francis Williams Ojara","is_ca":false},{"name":"Proscovia Namuwenge","is_ca":false},{"name":"Apollo Mugisha","is_ca":false},{"name":"Lawrence Mbuagbaw","is_ca":true},{"name":"Livingstone S. Luboobi","is_ca":false},{"name":"Jackson Mukonzo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01969919359289323,"gpt":0.3192601026118673,"spread":0.299560909018974,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001499122,0.0001533779,0.0003144954,0.0001850856,0.00006485838,0.000008227357,0.00005069387,0.0001362474,0.0000815293],"category_scores_gemma":[0.0000228416,0.0001387681,0.00002129872,0.0001978011,0.0000588725,0.00006425222,0.00001737897,0.0002458884,0.00004475192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001230286,"about_ca_system_score_gemma":0.0000286708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007105649,"about_ca_topic_score_gemma":0.00003676845,"domain_scores_codex":[0.9988151,0.0001614228,0.0002830416,0.0003218904,0.0001047839,0.0003138072],"domain_scores_gemma":[0.9995005,0.0001370062,0.00009712869,0.0001247071,0.00004005804,0.000100578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002918589,0.0007535439,0.9109846,0.00003071934,0.00002844899,0.00001134214,0.0006776126,0.000005101209,0.06368861,0.00004282973,0.0002644483,0.02322089],"study_design_scores_gemma":[0.008223995,0.0007313858,0.9669934,0.00008257055,0.00002346924,0.00000613302,0.00001963307,0.002255805,0.01804995,0.000008616042,0.003496751,0.0001083251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927767,0.0000956386,8.455253e-7,0.005344735,0.000225472,0.0007561318,0.00001327165,0.00002861405,0.0007586181],"genre_scores_gemma":[0.9952548,0.0009980581,0.00002837428,0.003350934,0.00009078267,0.0001160129,0.000106034,0.00001739235,0.00003758407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05600876,"threshold_uncertainty_score":0.5658801,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2292195272","doi":"10.1186/s40203-016-0018-5","title":"Population physiologically-based pharmacokinetic model incorporating lymphatic uptake for a subcutaneously administered pegylated peptide","year":2016,"lang":"en","type":"article","venue":"In Silico Pharmacology","topic":"Lymphatic System and Diseases","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Pharmacokinetics; Pharmacology; Peptide; Population; Lymphatic system; Medicine; Chemistry; Pathology; Biochemistry","authors":[{"name":"Elliot Offman","is_ca":true},{"name":"Colin Phipps","is_ca":true},{"name":"Andrea N. Edginton","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03815659972586787,"gpt":0.3377864936752218,"spread":0.2996298939493539,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002697601,0.0003117599,0.0006488641,0.000227921,0.00007929195,0.00001315728,0.0001672501,0.000167392,0.0003261574],"category_scores_gemma":[0.0002756712,0.0002172546,0.0001903757,0.0002390011,0.0001127217,0.00009813401,0.00003936424,0.00003077143,0.00003998926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003147441,"about_ca_system_score_gemma":0.0003693762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002423597,"about_ca_topic_score_gemma":0.00001175299,"domain_scores_codex":[0.9977067,0.0001769369,0.0008195326,0.0005576456,0.0002290198,0.0005101446],"domain_scores_gemma":[0.9983526,0.0006816903,0.0003050911,0.0002323904,0.0001617955,0.0002664195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004697037,0.0009516949,0.02711767,0.0005037682,0.0001069525,0.0002357007,0.0001036577,0.003790756,0.9530179,0.00009621041,0.001251744,0.008126928],"study_design_scores_gemma":[0.0623619,0.002691811,0.0933198,0.0008513202,0.001242027,0.0003583795,0.0001088896,0.7935558,0.04052586,0.003407925,0.0004402216,0.0011361],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938942,0.0001721398,0.001823019,0.001247194,0.0003362338,0.001907628,0.00005915335,0.0001862805,0.000374129],"genre_scores_gemma":[0.9941534,0.00001048446,0.001552787,0.002792747,0.0002583353,0.0006700555,0.00009157381,0.00004915054,0.000421446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.912492,"threshold_uncertainty_score":0.8859385,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386857510","doi":"10.1007/s40203-023-00162-4","title":"Network analysis and molecular docking studies of quercetin as a potential treatment for prostate cancer","year":2023,"lang":"en","type":"article","venue":"In Silico Pharmacology","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Queen's University","keywords":"Prostate cancer; Quercetin; KEGG; Computational biology; Cancer; Biology; Cancer research; Pharmacology; Traditional medicine; Bioinformatics; Medicine; Gene; Biochemistry; Transcriptome; Genetics; Antioxidant; Gene expression","authors":[{"name":"Frank Kalungi","is_ca":false},{"name":"Anthony M. Nsubuga","is_ca":false},{"name":"Godwin Anywar","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04484600559123265,"gpt":0.4323328701150304,"spread":0.3874868645237977,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004422802,0.0001091595,0.0003198356,0.0002877716,0.00005050104,0.00001601161,0.000171425,0.00002839968,0.000005848579],"category_scores_gemma":[0.00003015877,0.0001014227,0.00008515843,0.001304863,0.00006676539,0.00007850632,0.000200268,0.00004237032,0.000001278542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008236957,"about_ca_system_score_gemma":0.00009005385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002118438,"about_ca_topic_score_gemma":0.00009604061,"domain_scores_codex":[0.9987988,0.0002572956,0.0002469134,0.0003335686,0.00010594,0.0002574415],"domain_scores_gemma":[0.9990619,0.000622365,0.00009762424,0.0001008722,0.00008195679,0.00003525271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007014652,0.00004437421,0.004494834,0.00002583076,0.0007252948,0.00004770874,0.001578203,0.9548365,0.01035746,0.001059423,0.0001977437,0.02656252],"study_design_scores_gemma":[0.001670426,0.0002470865,0.01877021,0.00001568799,0.0004168391,0.000004260872,0.0001123895,0.9391341,0.01915135,0.01985795,0.0004447043,0.000175024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769228,0.001704824,0.01874489,0.001765733,0.0003846212,0.0004110156,0.000009113664,0.0000414289,0.00001562215],"genre_scores_gemma":[0.993139,0.0004638107,0.005594702,0.0003238231,0.00006176265,0.0003704313,0.000004461325,0.00000668751,0.00003528755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0263875,"threshold_uncertainty_score":0.4135898,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404725559","doi":"10.1007/s40203-024-00283-4","title":"Targeting telomeric RNA quadruplexes with natural metabolites to prevent cancer","year":2024,"lang":"en","type":"article","venue":"In Silico Pharmacology","topic":"DNA and Nucleic Acid Chemistry","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Telomere; Telomerase; Chemistry; Biochemistry; In vivo; Computational biology; Cancer; Nucleic acid; G-quadruplex; Cancer cell; Biology; Pharmacology; DNA; Genetics; Gene","authors":[{"name":"Gourav Choudhir","is_ca":false},{"name":"Sushil Kumar","is_ca":false},{"name":"Anuj Kumar","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005601964896450189,"gpt":0.2969461124558571,"spread":0.2913441475594069,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001119864,0.0001819732,0.0001778296,0.00006294466,0.00003360055,0.00002223849,0.0002018963,0.00009205996,0.0002422583],"category_scores_gemma":[0.00001804468,0.0001495113,0.00005191682,0.0002321349,0.00007031231,0.000005927572,0.0001138225,0.000188979,0.00001944329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003464955,"about_ca_system_score_gemma":0.0001039073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000469794,"about_ca_topic_score_gemma":0.0000293855,"domain_scores_codex":[0.9988777,0.00004341553,0.0001887033,0.0004431062,0.00009346986,0.0003536166],"domain_scores_gemma":[0.999702,0.00002419125,0.00002954553,0.0001174279,0.00003469308,0.00009215988],"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":[0.0001105528,0.00006370695,0.0009628783,0.00006052419,0.0001107372,0.00003531339,0.0001294716,0.0003882431,0.9818285,0.000007757997,0.01250829,0.003794086],"study_design_scores_gemma":[0.0002521602,0.00007163009,0.0003598072,0.00002223454,0.00003894226,0.00001493128,0.00006710809,0.0002379428,0.889111,0.000008247638,0.1096192,0.000196862],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775055,0.02026808,0.00001918142,0.0007611351,0.000707816,0.0001926432,0.0000179085,0.0000361231,0.000491577],"genre_scores_gemma":[0.9957404,0.0006253452,0.0003123482,0.001036986,0.0006390967,0.0001799072,0.00003390863,0.00003220325,0.001399823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09711088,"threshold_uncertainty_score":0.6096895,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409451975","doi":"10.1007/s40203-025-00357-x","title":"GABAergic antidepressant effect of daidzin: in vivo approach with in silico receptor binding affinities","year":2025,"lang":"en","type":"article","venue":"In Silico Pharmacology","topic":"Biochemical effects in animals","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Innovation Cluster (Canada)","funders":"Khulna University; University Grants Commission","keywords":"Affinities; In silico; Daidzin; In vivo; Binding affinities; Pharmacology; Antidepressant; Chemistry; Receptor; Biology; Stereochemistry; Biochemistry; Biotechnology; Genetics; Daidzein; Neuroscience; Gene","authors":[{"name":"Muhammad Torequl Islam","is_ca":true},{"name":"Md. Showkoth Akbor","is_ca":true},{"name":"Md. Shimul Bhuia","is_ca":true},{"name":"Rubel Hasan","is_ca":true},{"name":"Raihan Chowdhury","is_ca":true},{"name":"Md. Amirul Islam","is_ca":false},{"name":"Md. Saifuzzaman","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009678189420133406,"gpt":0.3123480757382369,"spread":0.3026698863181034,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008935606,0.0002944107,0.001001297,0.0008317076,0.00002105558,0.000006792891,0.0002418706,0.0003022538,0.0002755391],"category_scores_gemma":[0.0002703041,0.0002406244,0.00007485965,0.001169012,0.0003918438,0.00007019684,0.0001525598,0.0007478346,0.00001006747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002193956,"about_ca_system_score_gemma":0.0001365245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001734986,"about_ca_topic_score_gemma":0.00004785546,"domain_scores_codex":[0.9976499,0.0005029437,0.000591035,0.0005313542,0.0001992332,0.0005255171],"domain_scores_gemma":[0.9981838,0.001344316,0.0001200492,0.0002371022,0.00003706403,0.0000776566],"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":[0.003111583,0.0005388828,0.2643815,0.0009746213,0.00006364087,0.0001040335,0.0003050719,0.00008367113,0.7282748,0.00006996873,0.001403021,0.0006892983],"study_design_scores_gemma":[0.01056038,0.0009703721,0.01515584,0.0007035649,0.00008905323,0.00002514601,0.0001808417,0.001142661,0.9705588,0.00001229977,0.0003950668,0.000205942],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859439,0.001149584,0.000005808318,0.0003019554,0.0002706221,0.001292289,0.00001155681,0.00004668377,0.0109776],"genre_scores_gemma":[0.998553,0.0001393863,0.0002953725,0.0003933338,0.00005461034,0.0002952616,0.00001306373,0.00002843137,0.0002275647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2492256,"threshold_uncertainty_score":0.9812379,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4239658699","doi":"10.1186/s40203-014-0005-7","title":"Erratum to: Characterizing plasma albumin concentration changes in TB/HIV patients on anti retroviral and anti –tuberculosis therapy","year":2015,"lang":"en","type":"erratum","venue":"In Silico Pharmacology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HIV Legal Network; McMaster University","funders":"","keywords":"Tuberculosis; Human immunodeficiency virus (HIV); Antiretroviral therapy; Medicine; Albumin; Virology; Internal medicine; Immunology; Pathology; Viral load","authors":[{"name":"Kuteesa R. Bisaso","is_ca":false},{"name":"Joel Owen","is_ca":false},{"name":"Francis Williams Ojara","is_ca":false},{"name":"Proscovia Namuwenge","is_ca":false},{"name":"Apollo Mugisha","is_ca":false},{"name":"Lawrence Mbuagbaw","is_ca":true},{"name":"Livingstone S. Luboobi","is_ca":false},{"name":"Jackson Mukonzo","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02561343644245479,"gpt":0.311036933764462,"spread":0.2854234973220072,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000195341,0.0005322931,0.001025495,0.0004500269,0.00005068452,0.00003730728,0.0001406896,0.0005358731,0.000155618],"category_scores_gemma":[0.0000493008,0.0004770817,0.00008678016,0.0003108557,0.0000923608,0.00010812,0.00008233987,0.0007594822,0.00005573581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005413221,"about_ca_system_score_gemma":0.0002495825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001522253,"about_ca_topic_score_gemma":0.0001327592,"domain_scores_codex":[0.9974204,0.0002617599,0.0004741686,0.000841389,0.000386902,0.0006154271],"domain_scores_gemma":[0.9989516,0.000111321,0.0002112829,0.0002430988,0.0001318577,0.0003508347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0009683,0.002276988,0.4560947,0.00013544,0.0002323221,0.0003406341,0.001059468,0.000002525417,0.00564946,0.000002983997,0.5278724,0.005364726],"study_design_scores_gemma":[0.01205074,0.002044294,0.9014436,0.0006301944,0.0002589738,0.000007187535,0.00007006665,0.0001640955,0.009180645,0.000005235992,0.07366502,0.0004799231],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803869,0.001321272,1.985167e-8,0.004900381,0.008316527,0.002031709,0.000273687,0.00004006988,0.002729413],"genre_scores_gemma":[0.9798179,0.007680917,0.000007348557,0.00712757,0.001107817,0.0005175212,0.001932918,0.00007450794,0.001733557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4542074,"threshold_uncertainty_score":0.9997681,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}