{"meta":{"query_hash":"4ecfdaf377e0","filters":{"venue":"Journal of Postgenomics Drug & Biomarker 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/4ecfdaf377e0","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Postgenomics+Drug+%26+Biomarker+Development"},"results":[{"id":"W2013857996","doi":"10.4172/2153-0769.1000108","title":"MicroRNAs as Biomarkers for Clinical Features of Lung Cancer","year":2012,"lang":"en","type":"article","venue":"Journal of Postgenomics Drug & Biomarker Development","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Cancer Agency","funders":"National Cancer Institute","keywords":"Lung cancer; microRNA; Disease; Cancer; Medicine; Diagnostic biomarker; Drug development; Biomarker; Intensive care medicine; Bioinformatics; Oncology; Internal medicine; Biology; Drug; Pharmacology","score_opus":0.02223944554244233,"score_gpt":0.34379840825079144,"score_spread":0.3215589627083491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013857996","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40802386,0.51025707,0.038384523,0.0067231734,0.0025526956,0.00046836742,0.0027946632,0.0009522442,0.029843414],"genre_scores_gemma":[0.9005098,0.05545237,0.03438532,0.0012819852,0.0011222046,0.0002993908,0.0011526874,0.000051548344,0.0057446784],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991788,0.00038313903,0.000087685374,0.00011166859,0.00019379672,0.000044846296],"domain_scores_gemma":[0.9991405,0.000381589,0.00021703224,0.00003460056,0.00016738883,0.000058962152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001402692,0.00046944924,0.0007349591,0.001804736,0.0002450102,0.001018844,0.00034229114,0.0008501881,0.0015773509],"category_scores_gemma":[0.0024545651,0.00020788885,0.000293358,0.0010400257,0.00048390718,0.0006902326,0.0003810795,0.0008132314,0.0007562018],"study_design_candidate":"observational","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":[0.0029382978,0.00029347802,0.34801453,0.0022477268,0.0004795985,0.0029208125,0.0003767373,0.0012039985,0.199547,0.0069929566,0.011421097,0.42356387],"study_design_scores_gemma":[0.00018475189,0.003227574,0.64006585,0.0010645059,0.0011765208,0.028909486,0.00084245007,0.010427121,0.11560855,0.013399724,0.18485023,0.00024324954],"about_ca_topic_score_codex":0.0002785643,"about_ca_topic_score_gemma":0.00044379575,"teacher_disagreement_score":0.001804736,"about_ca_system_score_codex":0.00037251908,"about_ca_system_score_gemma":0.00035720842,"threshold_uncertainty_score":0.0074182153},"labels":[],"label_agreement":null},{"id":"W2528156816","doi":"","title":"Targeting cancer metabolism to overcome treatment resistance in HER2-positive breast cancer","year":2015,"lang":"en","type":"article","venue":"Journal of Postgenomics Drug & Biomarker Development","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","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":"Dalhousie University","funders":"","keywords":"AMPK; mTORC1; PI3K/AKT/mTOR pathway; mTORC2; Cancer research; Glycolysis; Cancer; Warburg effect; Kinase; MAPK/ERK pathway; Citric acid cycle; Mechanistic target of rapamycin; Biology; Cancer cell; Medicine; Protein kinase A; Signal transduction; Internal medicine; Metabolism; Cell biology; Biochemistry","score_opus":0.01504983045199422,"score_gpt":0.26955138754525476,"score_spread":0.25450155709326056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528156816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9424785,0.0421767,0.0041951328,0.0011521773,0.00023065353,0.00030362327,0.0008995185,0.00042470475,0.008139068],"genre_scores_gemma":[0.9787,0.013029938,0.0027798724,0.0002832256,0.000044316064,0.0001382811,0.0008336547,0.000041901265,0.004148841],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999168,0.000012158288,0.0000055343344,0.000014270289,0.00002052681,0.000030746964],"domain_scores_gemma":[0.9999745,0.0000032316555,0.0000070329165,0.0000034638545,0.0000044655108,0.0000073621018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013568423,0.00027542797,0.00057939766,0.0003935632,0.00014586953,0.0005031574,0.00023837322,0.00025733843,0.0018561787],"category_scores_gemma":[0.00007796666,0.00013908539,0.00030209226,0.00029198406,0.00012321984,0.0002021223,0.00024458257,0.0006610756,0.00045194497],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014542348,0.00071646774,0.0014398292,0.0007729816,0.000117066484,0.00033087563,0.000086547334,0.0024928746,0.8863661,0.0009464963,0.0026665984,0.10260989],"study_design_scores_gemma":[0.00090493076,0.009661565,0.02068065,0.00014303911,0.0003618408,0.004161949,0.00016801505,0.0075684395,0.82653356,0.00082939136,0.12893662,0.000050115246],"about_ca_topic_score_codex":0.0005657471,"about_ca_topic_score_gemma":0.002065145,"teacher_disagreement_score":0.0018561787,"about_ca_system_score_codex":0.00052996824,"about_ca_system_score_gemma":0.00022953561,"threshold_uncertainty_score":0.0062095523},"labels":[],"label_agreement":null},{"id":"W2528937747","doi":"","title":"Myc induces expression of glutamine synthetase through promoter demethylation","year":2016,"lang":"en","type":"article","venue":"Journal of Postgenomics Drug & Biomarker Development","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"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":"Glutamine synthetase; Demethylation; Biology; Glutamine; Genetics; Gene expression; Gene; DNA methylation","score_opus":0.018241606122518045,"score_gpt":0.2587328988296484,"score_spread":0.24049129270713035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528937747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.984571,0.0020685438,0.0063395402,0.0003633397,0.00013448494,0.000022629216,0.0005796041,0.00023163146,0.0056891856],"genre_scores_gemma":[0.99506074,0.00046171836,0.00065909914,0.00008794946,0.000012386888,0.000012298395,0.00044066802,0.00003483274,0.00323045],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99986947,0.000017009572,0.0000099359695,0.00003543903,0.0000293552,0.000038856146],"domain_scores_gemma":[0.9998708,0.000027474345,0.00003476012,0.00002043013,0.000014751917,0.000031685806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013156967,0.00018348725,0.00015238658,0.00019059224,0.00010794802,0.0003167958,0.00015545657,0.00017756574,0.0020297398],"category_scores_gemma":[0.00022575725,0.00015619386,0.00023958953,0.00011688768,0.00016134937,0.0001424749,0.00036019218,0.00040872185,0.00046737594],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016769311,0.00001796044,0.0006895672,0.000017824479,0.000006054568,0.00008981565,0.000012809029,0.0000489119,0.9954952,0.00029956,0.00018808735,0.0029664675],"study_design_scores_gemma":[0.00004128519,0.00025237698,0.013752862,0.000009852333,0.000019777312,0.0004848881,0.00006153852,0.0016037752,0.9769444,0.00035487014,0.006467253,0.0000072111675],"about_ca_topic_score_codex":0.0003689396,"about_ca_topic_score_gemma":0.0007491983,"teacher_disagreement_score":0.0020297398,"about_ca_system_score_codex":0.00028433817,"about_ca_system_score_gemma":0.0001782222,"threshold_uncertainty_score":0.006790161},"labels":[],"label_agreement":null}]}