{"meta":{"query_hash":"a86fa4070b83","filters":{"venue":"Asian Journal of Pharmaceutical Research and Development"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/a86fa4070b83","api":"https://metacan.xera.ac/api/v1/cohort?venue=Asian+Journal+of+Pharmaceutical+Research+and+Development"},"results":[{"id":"W4313464202","doi":"10.22270/ajprd.v10i4.1158","title":"Review: Drug Discovery and Development of Warfarin","year":2022,"lang":"en","type":"article","venue":"Asian Journal of Pharmaceutical Research and Development","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Warfarin; Rodenticide; Medicine; Food and drug administration; Anticoagulant drug; Blood clotting; New drug application; Clinical trial; Drug; Anticoagulant; Dabigatran; Pharmacology; Intensive care medicine; Surgery; Internal medicine; Toxicology; Biology","score_opus":0.14751854465582767,"score_gpt":0.4252817918790871,"score_spread":0.2777632472232594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313464202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45793447,0.25267038,0.19924632,0.08211025,0.0014834391,0.0025700554,0.000012719233,0.0001125876,0.0038597852],"genre_scores_gemma":[0.9071753,0.0022314123,0.08980639,0.00043551365,0.00003156986,0.0000423252,0.0000016501876,0.00001002322,0.0002657856],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99718,0.0003087486,0.0007130798,0.00022128652,0.0012406182,0.00033629755],"domain_scores_gemma":[0.9989269,0.00019017796,0.00017953041,0.00014805711,0.00029707543,0.0002582783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056824856,0.00010221223,0.00026367194,0.00035278243,0.0003434834,0.000053581633,0.00071700726,0.000023197506,0.000031666797],"category_scores_gemma":[0.0002093145,0.00008476935,0.00002279981,0.0004064126,0.0001770807,0.00031514242,0.0012245625,0.0006700136,0.0000046287414],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013574201,0.0005529696,0.005821579,0.001218779,0.00030484278,0.00025845383,0.006603593,0.000004391394,0.002978072,0.01806758,0.014347006,0.949707],"study_design_scores_gemma":[0.0019736004,0.00045255083,0.011296758,0.0012442122,0.000010872184,0.0012025385,0.0022801545,0.00025359506,0.038893018,0.0040380666,0.93794096,0.00041370332],"about_ca_topic_score_codex":9.93295e-7,"about_ca_topic_score_gemma":0.0000012037973,"teacher_disagreement_score":0.9492933,"about_ca_system_score_codex":0.0001658258,"about_ca_system_score_gemma":0.0012388681,"threshold_uncertainty_score":0.34567937},"labels":[],"label_agreement":null},{"id":"W4313464250","doi":"10.22270/ajprd.v10i4.1153","title":"Simultaneous Estimation of Metoprolol and Telmisartan in Combined Tablet Dosage Form by Using RP-HPLC and UV Spectrophotometry","year":2022,"lang":"en","type":"article","venue":"Asian Journal of Pharmaceutical Research and Development","topic":"Analytical Methods in Pharmaceuticals","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Telmisartan; Metoprolol; Chromatography; Dosage form; Chemistry; Absorbance; Spectrophotometry; Phosphate buffered saline; High-performance liquid chromatography; Methanol; Medicine; Anesthesia","score_opus":0.09700284198714493,"score_gpt":0.44915865837765306,"score_spread":0.35215581639050814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313464250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940682,0.002031339,0.0022179077,0.0006128663,0.00003428011,0.00019966999,0.000018112056,0.0000068584413,0.0008107678],"genre_scores_gemma":[0.9721602,0.00030864574,0.027321931,0.00007049192,0.000023616172,0.000008289632,0.0000030030417,0.000019797471,0.00008403137],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99688697,0.0002776092,0.00082706637,0.00028555578,0.0011174724,0.00060530927],"domain_scores_gemma":[0.9975027,0.0014076395,0.00017428875,0.000110286936,0.00016385816,0.00064125843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003339336,0.0001833341,0.0004726018,0.00039861555,0.00023855294,0.000060688384,0.00022444049,0.00007681018,0.0008086648],"category_scores_gemma":[0.0014447466,0.00016638736,0.00003304432,0.0004879676,0.00044772445,0.00013886241,0.00043801128,0.0013599694,6.5584965e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005661519,0.0018577656,0.020692296,0.0015280197,0.0006379836,0.0017783282,0.002606969,0.00035565827,0.37657258,0.00106226,0.00032327155,0.58692336],"study_design_scores_gemma":[0.011175124,0.0013954772,0.0007210204,0.000378547,0.0001607687,0.0016477956,0.0058861026,0.22952616,0.72067755,0.012446574,0.015167912,0.00081693515],"about_ca_topic_score_codex":0.0000063611574,"about_ca_topic_score_gemma":5.22383e-7,"teacher_disagreement_score":0.5861064,"about_ca_system_score_codex":0.0003180344,"about_ca_system_score_gemma":0.00027544546,"threshold_uncertainty_score":0.88543123},"labels":[],"label_agreement":null},{"id":"W7124436364","doi":"10.22270/ajprd.v13i2.1544","title":"The Role of Artificial Intelligence in Modern Drug Discovery and Development","year":2025,"lang":"","type":"article","venue":"Asian Journal of Pharmaceutical Research and Development","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Future Earth","funders":"","keywords":"Drug discovery; Identification (biology); Drug development; Process (computing); Clinical trial; Big data; Precision medicine; Pharmaceutical industry","score_opus":0.2486857346683548,"score_gpt":0.522774281609842,"score_spread":0.27408854694148715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7124436364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8953961,0.0714874,0.010926183,0.018396214,0.0010507469,0.0011557642,0.0000024778897,0.000004866004,0.0015802415],"genre_scores_gemma":[0.9887796,0.008539222,0.0021093956,0.0000992212,0.00015749002,0.000019288129,0.000001340187,0.000012299457,0.00028216164],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9949004,0.000460098,0.0022729016,0.00034030873,0.0011288892,0.00089739315],"domain_scores_gemma":[0.9962465,0.001655511,0.0002546641,0.00017696971,0.0010393898,0.0006269633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007726869,0.00022864588,0.00048625158,0.00073639734,0.00060087367,0.0002012467,0.00033410845,0.0001348957,0.000039554263],"category_scores_gemma":[0.0014581409,0.00016522693,0.000044748835,0.0006966122,0.0010041216,0.0002711217,0.00028819422,0.0015591828,0.000009809658],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018520358,0.00052139425,0.014599183,0.00033784553,0.0001393577,0.000035451347,0.018701319,0.000005348345,0.0007912225,0.004152632,0.00006702341,0.95879716],"study_design_scores_gemma":[0.0003854426,0.0007959685,0.018389806,0.0047925017,0.00006367665,0.00009104238,0.24647242,0.0043033403,0.5652944,0.09977648,0.059190396,0.0004445241],"about_ca_topic_score_codex":0.000039268823,"about_ca_topic_score_gemma":0.00016735426,"teacher_disagreement_score":0.9583527,"about_ca_system_score_codex":0.00046020426,"about_ca_system_score_gemma":0.0073508997,"threshold_uncertainty_score":0.9982765},"labels":[],"label_agreement":null}]}