{"meta":{"query_hash":"5b0dd7a3b0ba","filters":{"venue":"MicroRNA"},"cohort_total":12,"direct_labels_cover":0,"predictions_cover":12,"exported":12,"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/5b0dd7a3b0ba","api":"https://metacan.xera.ac/api/v1/cohort?venue=MicroRNA"},"results":[{"id":"W2313380064","doi":"10.2174/22115366113029990013","title":"Lifestyle Factors and MicroRNAs: A New Paradigm in Cancer Chemoprevention","year":2013,"lang":"en","type":"review","venue":"MicroRNA","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Juravinski Hospital","funders":"","keywords":"microRNA; Cancer; Transcription factor; Biology; Cancer prevention; Bioinformatics; Regulation of gene expression; Computational biology; Cancer research; Gene; Genetics","score_opus":0.030612937101014887,"score_gpt":0.31467291039144385,"score_spread":0.284059973290429,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2313380064","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013140784,0.99768114,0.0003946825,0.00077128306,0.00032758934,0.0000035262306,0.000008425005,0.000009997767,0.0006719357],"genre_scores_gemma":[0.00092105614,0.99747294,0.00047611434,0.00034381775,0.00030150067,0.000008272033,0.000014099492,0.0000018471294,0.00046029803],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99983156,0.00004265284,0.000022104967,0.00003178632,0.00005535016,0.000016602768],"domain_scores_gemma":[0.9997893,0.0001000161,0.000022007192,0.000007724368,0.000057578756,0.000023316119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005836831,0.00082743674,0.0013973415,0.0012800059,0.0003261362,0.0008537613,0.0007736374,0.0014637385,0.0024438354],"category_scores_gemma":[0.0005380733,0.00024017069,0.00047458595,0.0013355007,0.0007101849,0.0016000682,0.000688718,0.0022147272,0.0013504538],"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":[0.00009159781,0.0000978701,0.00024377026,0.010716323,0.000092511524,0.000395782,0.00009797291,0.00031378432,0.006081505,0.012525831,0.02396401,0.94537914],"study_design_scores_gemma":[0.000021593203,0.00012270386,0.0007608952,0.0015755361,0.0000818989,0.0012937536,0.00008181405,0.00014477929,0.0010972973,0.0056597483,0.9891367,0.000023274255],"about_ca_topic_score_codex":0.0006605759,"about_ca_topic_score_gemma":0.0012397203,"teacher_disagreement_score":0.0024438354,"about_ca_system_score_codex":0.00083768443,"about_ca_system_score_gemma":0.0010906819,"threshold_uncertainty_score":0.008175492},"labels":[],"label_agreement":null},{"id":"W2327988935","doi":"10.2174/2211536611201010059","title":"A Macro Role for Imprinted Clusters of MicroRNAs in the Brain","year":2012,"lang":"en","type":"review","venue":"MicroRNA","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Genomic imprinting; Biology; Non-coding RNA; microRNA; RNA; Chromatin; Genetics; DNA methylation; Gene; Epigenetics; Neurogenesis; Gene expression","score_opus":0.03043300715919067,"score_gpt":0.33830153505134153,"score_spread":0.30786852789215086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2327988935","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019553471,0.9706197,0.003607032,0.00043038378,0.00036212476,0.0000107229525,0.00021178252,0.00010565778,0.0050990568],"genre_scores_gemma":[0.20093486,0.7865737,0.004339003,0.00044427277,0.00047145828,0.00003171604,0.0005552615,0.00003380424,0.0066159302],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999923,0.000009350463,0.000008699562,0.000031870637,0.000016522068,0.00001052048],"domain_scores_gemma":[0.9999304,0.000017815544,0.000021749558,0.0000028840602,0.000016244738,0.000011056713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013881935,0.00031008443,0.00036323894,0.00042581093,0.00009537079,0.0005053294,0.000199092,0.00026879943,0.0008048912],"category_scores_gemma":[0.00015805839,0.00009268838,0.00019132091,0.00028509062,0.0002157934,0.00034351167,0.00020742198,0.0003626955,0.00039900327],"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":[0.00038027638,0.00003525731,0.0042050728,0.007960979,0.00043147273,0.002271933,0.00036202127,0.0012432353,0.42834926,0.015765483,0.0068974867,0.5320976],"study_design_scores_gemma":[0.00003516243,0.00065853563,0.04995511,0.0011962291,0.0006324534,0.008847505,0.00032021652,0.0010763999,0.15407984,0.008619198,0.7744982,0.00008119682],"about_ca_topic_score_codex":0.00035581208,"about_ca_topic_score_gemma":0.0006341098,"teacher_disagreement_score":0.0008048912,"about_ca_system_score_codex":0.00028773138,"about_ca_system_score_gemma":0.00037605918,"threshold_uncertainty_score":0.0026926398},"labels":[],"label_agreement":null},{"id":"W2329543996","doi":"10.2174/2211536605666160322152146","title":"Time Dependent Distribution of MicroRNA 144 after Intravenous Delivery","year":2016,"lang":"en","type":"article","venue":"MicroRNA","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Agence Nationale de la Recherche","keywords":"Kidney; Distribution (mathematics); Parenchyma; Cardioprotection; Biology; Medicine; Ischemia; Internal medicine; Pharmacology; Pathology; Endocrinology","score_opus":0.004028568733577954,"score_gpt":0.19789368111254696,"score_spread":0.193865112378969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329543996","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":[0.9500814,0.0070061283,0.0361373,0.00019346937,0.00025572637,0.00026123383,0.00063207716,0.0009185668,0.0045140525],"genre_scores_gemma":[0.97446465,0.0023109643,0.016380511,0.00012788686,0.000066780645,0.00026172696,0.00063249865,0.00024048497,0.005514534],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99977595,0.000028254724,0.000012799398,0.0000635453,0.00007165116,0.000047920108],"domain_scores_gemma":[0.9997272,0.00007369978,0.00010100106,0.000027594067,0.00004218763,0.000028315791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030265265,0.0002956869,0.00028444282,0.00030445418,0.000093642346,0.00046525433,0.00023235782,0.00035310906,0.0014804495],"category_scores_gemma":[0.00043680967,0.00016920944,0.00030300693,0.00019988038,0.00024570705,0.00028582025,0.00013185148,0.00068790326,0.00069330074],"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":[0.0004193082,0.00005061661,0.00021864573,0.00006938531,0.000007732393,0.000046141566,0.000026297243,0.000119271695,0.992338,0.00011377925,0.0001253936,0.006465452],"study_design_scores_gemma":[0.000017812568,0.0008694247,0.001224561,0.0000058750816,0.000016512437,0.00010512147,0.000007567518,0.0007106043,0.9954117,0.000033725035,0.0015906531,0.000006523528],"about_ca_topic_score_codex":0.00027742353,"about_ca_topic_score_gemma":0.0002943506,"teacher_disagreement_score":0.0014804495,"about_ca_system_score_codex":0.000305491,"about_ca_system_score_gemma":0.00023010137,"threshold_uncertainty_score":0.0049526095},"labels":[],"label_agreement":null},{"id":"W2594338261","doi":"10.2174/2211536606666170104130101","title":"microRNAs-based Predictor Factor in Patients with Migraine-ischemic Stroke","year":2017,"lang":"en","type":"review","venue":"MicroRNA","topic":"Migraine and Headache Studies","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Child, Adolescent and Family Mental Health","funders":"","keywords":"Migraine; microRNA; Medicine; Pathophysiology; Stroke (engine); Disease; Biomarker; Ischemic stroke; Bioinformatics; Neuroscience; Internal medicine; Ischemia; Psychology; Gene; Biology; Genetics","score_opus":0.056510988012719504,"score_gpt":0.3337210405911837,"score_spread":0.2772100525784642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594338261","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00036607022,0.99897873,0.000050213883,0.00018254684,0.00007528844,0.0000043844775,0.00003891453,0.0000023557643,0.00030146755],"genre_scores_gemma":[0.0034811082,0.99587834,0.00014827818,0.00013731288,0.00014801341,0.000010385159,0.000057083358,7.55371e-7,0.00013873314],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.99980825,0.000049182596,0.000048800226,0.00003760951,0.000045862154,0.000010356533],"domain_scores_gemma":[0.99963605,0.00022142027,0.00006778041,0.00000497941,0.000055808807,0.000013980584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004678377,0.00053233176,0.0011458397,0.0016510339,0.00012934758,0.00063204323,0.0004272421,0.0005581771,0.001863322],"category_scores_gemma":[0.0013255702,0.00012195402,0.00064121955,0.0014249146,0.00017622414,0.00040846557,0.00030436364,0.00064047595,0.00039291935],"study_design_candidate":"systematic_review","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":[0.00033187782,0.000078436,0.0063867713,0.046557266,0.001169754,0.00034409735,0.00010219706,0.000219201,0.0006792153,0.0013061053,0.016651811,0.92617327],"study_design_scores_gemma":[0.00022564855,0.0006242313,0.0716037,0.086245775,0.009257798,0.009739797,0.0004585782,0.0007928793,0.001728876,0.0047289957,0.8144386,0.00015527333],"about_ca_topic_score_codex":0.0008957889,"about_ca_topic_score_gemma":0.0015450661,"teacher_disagreement_score":0.001863322,"about_ca_system_score_codex":0.0002438912,"about_ca_system_score_gemma":0.0006116116,"threshold_uncertainty_score":0.0062334538},"labels":[],"label_agreement":null},{"id":"W2902015555","doi":"10.2174/2211536608666181126093903","title":"Ketogenic Diet Acts on Body Remodeling and MicroRNAs Expression Profile","year":2018,"lang":"en","type":"article","venue":"MicroRNA","topic":"Diet and metabolism studies","field":"Medicine","cited_by":63,"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":"Regione Calabria; Università della Calabria","keywords":"microRNA; Anthropometry; Ketogenic diet; Medicine; Obesity; Internal medicine; Endocrinology; Biology; Bioinformatics; Biochemistry; Gene","score_opus":0.022446363179756183,"score_gpt":0.2839632326014538,"score_spread":0.2615168694216976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902015555","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":[0.9966479,0.0011081479,0.0007790626,0.00003970944,0.000023061473,0.000013347811,0.00018284433,0.00002093279,0.0011849715],"genre_scores_gemma":[0.99741876,0.00059297425,0.00064331584,0.000048379337,0.000009129163,0.000026110243,0.00016162396,0.000007729369,0.0010918339],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99993384,0.000013744112,0.0000056193644,0.000018719446,0.000015276677,0.000012879179],"domain_scores_gemma":[0.9999274,0.000009601412,0.000029907178,0.000007104255,0.000010853047,0.000015095376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009604094,0.0002340595,0.00017374415,0.00022939646,0.00012322197,0.00025876937,0.000059810533,0.0001140669,0.0015637053],"category_scores_gemma":[0.00013212321,0.00012022804,0.000170631,0.00013748057,0.00017648075,0.00013290081,0.00014412966,0.00026624702,0.00015991162],"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":[0.006396298,0.00031068936,0.06350521,0.00020411282,0.00008854101,0.00035278112,0.00016213203,0.00011147551,0.9043712,0.00022292986,0.00021192782,0.02406271],"study_design_scores_gemma":[0.00008257456,0.0024455593,0.79100084,0.000034680295,0.00015724027,0.0010106219,0.00036267392,0.00084306166,0.20078444,0.00030635027,0.0029487838,0.000023145789],"about_ca_topic_score_codex":0.00027112206,"about_ca_topic_score_gemma":0.00044402576,"teacher_disagreement_score":0.0015637053,"about_ca_system_score_codex":0.00013908208,"about_ca_system_score_gemma":0.000119371056,"threshold_uncertainty_score":0.0052310824},"labels":[],"label_agreement":null},{"id":"W2902369947","doi":"10.2174/2211536608666181204110508","title":"Lack of Association between miR-605 rs2043556 Polymorphism and Overall Cancer Risk: A Meta-analysis of Case-control Studies","year":2018,"lang":"en","type":"review","venue":"MicroRNA","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Odds ratio; Meta-analysis; Confidence interval; Internal medicine; Cancer; Allele; Lung cancer; Genetic model; Medicine; Breast cancer; Case-control study; Esophageal cancer; Oncology; Gastroenterology; Biology; Genetics; Gene","score_opus":0.09830889006074124,"score_gpt":0.3739807706878359,"score_spread":0.2756718806270947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902369947","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04995813,0.94300634,0.0039411793,0.0005030942,0.00048250495,0.00023009047,0.0011316868,0.00008084102,0.00066613377],"genre_scores_gemma":[0.7514789,0.23705493,0.0058295806,0.0015232206,0.00058729725,0.000723783,0.0020284578,0.00011973032,0.00065400376],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.98627275,0.0058187675,0.004005829,0.0023479762,0.0011658934,0.00038880372],"domain_scores_gemma":[0.9821791,0.012734157,0.002176138,0.0016570131,0.0010242898,0.0002293027],"candidate_categories":["metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.017143551,0.0025057744,0.01082892,0.004505227,0.0008752296,0.0035293486,0.0019182949,0.0017454894,0.0020138419],"category_scores_gemma":[0.03193998,0.0015488488,0.035457995,0.0063812514,0.0006955237,0.0014111095,0.0011789118,0.0018809295,0.00025428462],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034537916,0.00002912535,0.046059262,0.027331697,0.91358465,0.00025500273,0.00008764307,0.0005773701,0.00059970986,0.00011923845,0.00038297934,0.007519522],"study_design_scores_gemma":[0.0003702732,0.00017275754,0.01705908,0.0018208852,0.9783982,0.00020931533,0.000038020946,0.00035954124,0.00019591404,0.0003133619,0.0010424488,0.000020245721],"about_ca_topic_score_codex":0.0051170685,"about_ca_topic_score_gemma":0.009280066,"teacher_disagreement_score":0.9891711,"about_ca_system_score_codex":0.0013160688,"about_ca_system_score_gemma":0.0016209309,"threshold_uncertainty_score":0.090664804},"labels":[],"label_agreement":null},{"id":"W3179313328","doi":"10.2174/2211536610666210707113229","title":"Association Between miR-146a rs2910164 Polymorphism and Breast CancerSusceptibility: An Updated Meta-Analysis of 9545 Cases and 10030Controls","year":2021,"lang":"en","type":"review","venue":"MicroRNA","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Institute in Oncology and Hematology; University of Manitoba; CancerCare Manitoba","funders":"","keywords":"Meta-analysis; Odds ratio; Confidence interval; Breast cancer; Genetic model; Subgroup analysis; Internal medicine; Oncology; Biology; Medicine; Genetics; Cancer; Gene","score_opus":0.05387438558283379,"score_gpt":0.3291216945648144,"score_spread":0.2752473089819806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3179313328","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046286236,0.9447369,0.002796357,0.00035494048,0.0003464735,0.00022860961,0.0043810993,0.000099674704,0.00076966657],"genre_scores_gemma":[0.6796999,0.30471888,0.0051756096,0.0011126715,0.0004897382,0.00089673063,0.0069005857,0.00017303655,0.00083287334],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9904483,0.0034941447,0.0029584777,0.0017575579,0.0009918325,0.00034965595],"domain_scores_gemma":[0.9867417,0.008569247,0.0021191747,0.0012786438,0.0011024197,0.0001887639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012243611,0.0022468762,0.010788522,0.0060160547,0.0007068524,0.0028170298,0.001845215,0.0016655204,0.0031174587],"category_scores_gemma":[0.022674678,0.0018384282,0.042618066,0.008516347,0.0004903166,0.0013200534,0.0012164639,0.0017507327,0.00044364962],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004467863,0.000037016085,0.04454318,0.052209772,0.8829084,0.00031463624,0.000098337754,0.00077914563,0.0006039414,0.00014330988,0.0011701443,0.012724225],"study_design_scores_gemma":[0.00049883797,0.00013735416,0.023328122,0.00283318,0.9704249,0.00024918062,0.000037631773,0.00028223265,0.00019467992,0.00020665131,0.0017817965,0.000025476244],"about_ca_topic_score_codex":0.0064228754,"about_ca_topic_score_gemma":0.008786244,"teacher_disagreement_score":0.012243611,"about_ca_system_score_codex":0.0012435799,"about_ca_system_score_gemma":0.0014709115,"threshold_uncertainty_score":0.06475121},"labels":[],"label_agreement":null},{"id":"W3180835019","doi":"10.2174/2211536610666210707114843","title":"Prognostic Implications of microRNA-155, -133a, -21 and -205 in BreastCancer Patients’ Plasma","year":2021,"lang":"en","type":"review","venue":"MicroRNA","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Terry Fox Foundation","keywords":"Breast cancer; Medicine; Oncology; Internal medicine; microRNA; Cancer; Disease; Tamoxifen; Cohort; Biology","score_opus":0.016017219695068297,"score_gpt":0.28252933848513573,"score_spread":0.2665121187900674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3180835019","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09901034,0.89804447,0.00055683486,0.00035792458,0.0001508709,0.000036526675,0.0010092246,0.00001078691,0.0008230715],"genre_scores_gemma":[0.8973073,0.100090414,0.000884913,0.00040437974,0.00024890612,0.00008706708,0.0007621297,0.000010613083,0.00020421397],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973024,0.0012018094,0.0005525569,0.0004574503,0.0004078513,0.00007777886],"domain_scores_gemma":[0.9905984,0.0068523153,0.0017503032,0.00024172076,0.00045829092,0.00009894878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045481687,0.00051856565,0.0023117077,0.0018203304,0.00022070609,0.001306864,0.00056754256,0.0008312299,0.00096384296],"category_scores_gemma":[0.010514833,0.00040592754,0.005921072,0.0028924786,0.00029045422,0.00058400526,0.00039321705,0.00066886295,0.00012058374],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.015783492,0.00013931081,0.51830226,0.0792072,0.27890053,0.00061231037,0.00031029517,0.0016979092,0.0031105087,0.0005178197,0.0016505708,0.09976786],"study_design_scores_gemma":[0.0011090132,0.0018101365,0.46756443,0.009147872,0.50104994,0.0016900639,0.0003707656,0.001523705,0.0026235578,0.0015906036,0.011415382,0.00010459061],"about_ca_topic_score_codex":0.0010397072,"about_ca_topic_score_gemma":0.0015396101,"teacher_disagreement_score":0.0045481687,"about_ca_system_score_codex":0.00036865202,"about_ca_system_score_gemma":0.0005467216,"threshold_uncertainty_score":0.024053276},"labels":[],"label_agreement":null},{"id":"W4286600159","doi":"10.1016/b978-0-323-89774-7.00026-1","title":"MicroRNA turnover and nuclear function","year":2022,"lang":"en","type":"book-chapter","venue":"MicroRNA","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"microRNA; Gene silencing; Cell biology; Biology; Dicer; Ran; Argonaute; Drosha; Biogenesis; Nuclear transport; Nuclear export signal; RNA interference; Gene expression; Cell nucleus; Gene; Genetics; RNA; Cytoplasm","score_opus":0.010009472046298493,"score_gpt":0.21921102199057516,"score_spread":0.20920154994427667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286600159","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015109812,0.29724115,0.04944841,0.0041427137,0.00319579,0.0000393357,0.00031207895,0.000808316,0.62970245],"genre_scores_gemma":[0.09869228,0.095335335,0.012851533,0.0015449866,0.001002207,0.000116733696,0.00048746876,0.00044241734,0.78952706],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99987006,0.000016672191,0.0000050972762,0.000038049064,0.00005750307,0.000012640003],"domain_scores_gemma":[0.99993896,0.00002957226,0.0000043482723,0.000010419213,0.000008543355,0.000008166786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025164176,0.00042133126,0.00045256084,0.00041242054,0.000527992,0.0020570192,0.00058727595,0.001004523,0.008209507],"category_scores_gemma":[0.00025906067,0.00035144715,0.0002142625,0.000475135,0.00079517503,0.0017105296,0.00068932807,0.0012410016,0.0060149515],"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":[0.00016271234,0.000043262055,0.000094768984,0.0004531058,0.000011722687,0.00046089102,0.0003155022,0.0011263659,0.15509735,0.46334872,0.045912605,0.33297297],"study_design_scores_gemma":[0.000007177828,0.00003975416,0.00036963486,0.00010235095,0.000008975504,0.001112251,0.00014186853,0.0011757115,0.049017563,0.09643784,0.8515666,0.000020237281],"about_ca_topic_score_codex":0.00033656144,"about_ca_topic_score_gemma":0.0005837009,"teacher_disagreement_score":0.008209507,"about_ca_system_score_codex":0.0008823982,"about_ca_system_score_gemma":0.00034549407,"threshold_uncertainty_score":0.027463496},"labels":[],"label_agreement":null},{"id":"W4286600731","doi":"10.1016/b978-0-323-89774-7.00021-2","title":"MicroRNA targeted therapy in cardiovascular disease","year":2022,"lang":"en","type":"book-chapter","venue":"MicroRNA","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut universitaire de cardiologie et de pneumologie de Québec","funders":"","keywords":"microRNA; Medicine; Clinical trial; Disease; Bioinformatics; Myocardial infarction; Bench to bedside; Computational biology; Biology; Pathology; Internal medicine; Genetics; Gene","score_opus":0.011471882559206455,"score_gpt":0.21512830183040968,"score_spread":0.20365641927120323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286600731","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023711259,0.80632246,0.021268947,0.003437983,0.0062748464,0.00007184372,0.00019087677,0.0004244431,0.15963751],"genre_scores_gemma":[0.023792377,0.57890755,0.018600145,0.0054075136,0.0032628388,0.0002973377,0.0003545073,0.00022777538,0.36914983],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99992585,0.000014955499,0.0000036254905,0.000012016851,0.000036417234,0.0000071443233],"domain_scores_gemma":[0.999969,0.000018215233,0.0000028755394,0.0000018023142,0.0000043171735,0.0000037776738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023193771,0.00051876385,0.00053376,0.00046987412,0.00018390639,0.00068968546,0.00044060883,0.00079733296,0.01091537],"category_scores_gemma":[0.00018417138,0.00017735559,0.0002462972,0.0004110777,0.00023929549,0.00050231564,0.0004406323,0.0012811311,0.0059928293],"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":[0.000105103914,0.00011059985,0.000051490042,0.000978588,0.000023348708,0.00039683134,0.00008471246,0.00055193336,0.039076094,0.037958432,0.16048199,0.7601809],"study_design_scores_gemma":[0.000022587752,0.00009114087,0.00019566448,0.00022805251,0.000018469409,0.0011075528,0.000018560377,0.0004160344,0.005507367,0.007980025,0.9844028,0.00001179865],"about_ca_topic_score_codex":0.00019806935,"about_ca_topic_score_gemma":0.0007731381,"teacher_disagreement_score":0.01091537,"about_ca_system_score_codex":0.00028386712,"about_ca_system_score_gemma":0.00023342612,"threshold_uncertainty_score":0.036515534},"labels":[],"label_agreement":null},{"id":"W4391068076","doi":"10.2174/0122115366275856240101083442","title":"Tumor Targeting <i>via</i> siRNA-COG3 to Suppress Tumor Progression in Miceand Inhibit Cancer Metastasis and Angiogenesis in Ovarian Cancer CellLines","year":2024,"lang":"en","type":"article","venue":"MicroRNA","topic":"Cellular transport and secretion","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"Mazandaran University of Medical Sciences","keywords":"Angiogenesis; Metastasis; Cancer research; Cell growth; Biology; Apoptosis; Ovarian cancer; Gene knockdown; Small interfering RNA; Cancer cell; Cancer; Cell culture; Transfection; Molecular biology; Chemistry; Biochemistry","score_opus":0.008099097685696078,"score_gpt":0.26103703208086165,"score_spread":0.2529379343951656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391068076","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":[0.96683663,0.00308732,0.01320322,0.000906073,0.0002981146,0.00035176636,0.00446619,0.0014485855,0.009401963],"genre_scores_gemma":[0.97157943,0.0015919788,0.008861723,0.00047197906,0.00003853583,0.00054021424,0.0040850337,0.00020435535,0.012626727],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999701,0.000031384945,0.000031349886,0.000060025453,0.00007869403,0.00009763127],"domain_scores_gemma":[0.9998883,0.000011109284,0.000037769492,0.000014108961,0.000017935557,0.000030805753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029519486,0.0005610997,0.00041902094,0.00045594655,0.000285408,0.0003322753,0.00032501633,0.0005562906,0.0022634142],"category_scores_gemma":[0.00009959432,0.00020164896,0.00045117878,0.00025386165,0.00042880359,0.0002461744,0.00018495167,0.00092243415,0.0006010068],"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":[0.00024950693,0.000100155885,0.00018673042,0.00010928004,0.000013240558,0.000049656042,0.00002746371,0.000097723045,0.9962121,0.00030101847,0.0005868202,0.0020663617],"study_design_scores_gemma":[0.000088796885,0.0006122887,0.002484224,0.000013884698,0.000045826655,0.00025036914,0.000038856462,0.001461638,0.9858586,0.00008662302,0.009051319,0.0000074245336],"about_ca_topic_score_codex":0.0014414933,"about_ca_topic_score_gemma":0.0028031867,"teacher_disagreement_score":0.0022634142,"about_ca_system_score_codex":0.00063036504,"about_ca_system_score_gemma":0.00044962202,"threshold_uncertainty_score":0.0075719357},"labels":[],"label_agreement":null},{"id":"W4400508859","doi":"10.2174/0122115366297817240613065052","title":"MicroRNA Biomarkers on Day of Injury Among Patients with Post Concussive Symptoms at 28-Days: A Prospective Cohort Study","year":2024,"lang":"en","type":"article","venue":"MicroRNA","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Island University","funders":"Defence Health Foundation","keywords":"Rivermead post-concussion symptoms questionnaire; Medicine; Internal medicine; Traumatic brain injury; Prospective cohort study; Concussion; Emergency department; Poison control; Injury prevention; Emergency medicine; Psychiatry","score_opus":0.010487171010058216,"score_gpt":0.2786048654214944,"score_spread":0.2681176944114362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400508859","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":[0.9991762,0.00016084714,0.000049041802,0.000014981702,0.000005232857,0.000028249573,0.0003519725,0.000001810843,0.00021152476],"genre_scores_gemma":[0.99890125,0.00009494619,0.000078411525,0.000031856354,0.000009594229,0.000050271552,0.00059445034,0.0000024522058,0.00023655906],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995158,0.00006757303,0.00005300475,0.00017451271,0.00008494079,0.000104133585],"domain_scores_gemma":[0.999278,0.0000718968,0.00027681555,0.000082583836,0.00013904991,0.00015161111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004863889,0.00046817947,0.0006568769,0.00068068894,0.00081434456,0.0008206118,0.0004585718,0.0007915824,0.0014214693],"category_scores_gemma":[0.0011825586,0.00051326526,0.0007287063,0.0009072998,0.00027254332,0.0006242763,0.00061471004,0.00097437843,0.0005182326],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030033747,0.00006052799,0.9985092,0.000015170693,0.00007535661,0.000080869744,0.0000982292,0.00001206588,0.00027072462,0.0000070291576,0.00007099428,0.00049948174],"study_design_scores_gemma":[0.000014559299,0.00031391502,0.99889046,0.000006533347,0.000048055106,0.0002312215,0.00024671026,0.00006113178,0.000042780735,0.000009029942,0.00012951577,0.000006032979],"about_ca_topic_score_codex":0.0032084817,"about_ca_topic_score_gemma":0.004410907,"teacher_disagreement_score":0.0032084817,"about_ca_system_score_codex":0.00030564194,"about_ca_system_score_gemma":0.00031195607,"threshold_uncertainty_score":0.0063796043},"labels":[],"label_agreement":null}]}