{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2284,"total_is_capped":false,"direct_labels_cover":5,"predictions_cover":2284,"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"},"query_hash":"08232a8a964f","filters":{"topic":"MicroRNA in disease regulation"}},"results":[{"id":"W1975437957","doi":"10.1038/nrg2290","title":"Mechanisms of post-transcriptional regulation by microRNAs: are the answers in sight?","year":2008,"lang":"en","type":"review","venue":"Nature Reviews Genetics","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5211,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Novartis Foundation; Howard Hughes Medical Institute","keywords":"Biology; microRNA; Psychological repression; Translation (biology); Regulation of gene expression; Genetics; Gene; Gene expression; Computational biology; Messenger RNA; Translational regulation; Post-transcriptional regulation; Cell biology","retraction":null,"screen_n_in":null,"score":{"opus":0.01573579824245012,"gpt":0.2875015664556918,"spread":0.2717657682132417,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.000341286,0.0005333057,0.001190214,0.0001273918,0.00006560572,0.00001612365,0.0005901333,0.001394991,0.00003442563],"category_scores_gemma":[0.00012229,0.0003780392,0.0008091443,0.0003812869,0.0001240426,0.000004140199,0.00008385572,0.0005841781,0.00001366351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006279231,"about_ca_system_score_gemma":0.0002525311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001592087,"about_ca_topic_score_gemma":0.00004513239,"domain_scores_codex":[0.9971406,0.0005326344,0.001122498,0.0006069027,0.0003194122,0.0002779371],"domain_scores_gemma":[0.9977804,0.00003186295,0.001042081,0.0008657834,0.0002044146,0.00007538684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004486831,0.0002744143,0.00001914298,0.01730379,0.0003586969,0.000006189589,0.00004220229,0.00002990031,0.160546,0.000227763,0.0321549,0.7889922],"study_design_scores_gemma":[0.0001659691,0.00005198694,0.00009863039,0.003352786,0.0002585801,0.00005333728,0.000004761745,0.000002458154,0.001938646,0.00005138492,0.9936639,0.0003575459],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008345763,0.9967342,0.0004887339,0.00004865267,0.0002566705,0.001814327,0.0005146502,0.00000626428,0.0000530668],"genre_scores_gemma":[0.0001697926,0.9945279,0.001008557,0.0001761217,0.0001724521,0.0001089559,0.003614365,0.00007543559,0.0001464531],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.961509,"threshold_uncertainty_score":0.9999014,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2811212358","doi":"10.3389/fendo.2018.00402","title":"Overview of MicroRNA Biogenesis, Mechanisms of Actions, and Circulation","year":2018,"lang":"en","type":"review","venue":"Frontiers in Endocrinology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5209,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"Canadian Institutes of Health Research","keywords":"microRNA; Biology; Untranslated region; Biogenesis; Regulation of gene expression; Translation (biology); Microvesicles; Cell biology; Primary transcript; Computational biology; Gene; Gene expression; Genetics; Messenger RNA; Alternative splicing","retraction":null,"screen_n_in":null,"score":{"opus":0.04120114092190173,"gpt":0.3150052833028497,"spread":0.273804142380948,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000102983,0.0002474986,0.0009191966,0.0003353453,0.00002055756,0.000003105498,0.0001994872,0.0003779387,0.00001112434],"category_scores_gemma":[0.00005099711,0.0002511827,0.0002267693,0.0001855319,0.0002109756,0.000003498422,0.0001414039,0.00008038539,0.000001564383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000041795,"about_ca_system_score_gemma":0.0001444974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001721939,"about_ca_topic_score_gemma":0.000008435782,"domain_scores_codex":[0.9984565,0.0002006654,0.0006150555,0.0004269669,0.00007704653,0.0002237547],"domain_scores_gemma":[0.9988961,0.00001207005,0.0005425332,0.0004403827,0.0000710064,0.000037871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001033678,0.0002622248,0.002155495,0.03096554,0.001373138,0.00001011416,0.00003158488,0.000006931823,0.03452307,0.001525656,0.006306657,0.9227362],"study_design_scores_gemma":[0.0005000951,0.0001542822,0.0008366185,0.002013555,0.0006111686,0.0001150534,0.00002528592,0.000006199892,0.01469923,0.001231319,0.9794137,0.0003935052],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001256371,0.9934545,0.004174099,0.000005734993,0.0005028322,0.0004340417,0.000126423,0.000005267814,0.00004074671],"genre_scores_gemma":[0.00161831,0.9932095,0.004602012,0.000007983383,0.00007318673,0.00003807505,0.0003898303,0.00003428503,0.00002686487],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.973107,"threshold_uncertainty_score":0.999994,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2141549067","doi":"10.2174/138920210793175895","title":"MicroRNA: Biogenesis, Function and Role in Cancer","year":2010,"lang":"en","type":"article","venue":"Current Genomics","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1835,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Gene silencing; microRNA; Argonaute; RNA-induced silencing complex; Biology; Cell biology; Dicer; RNA; Small RNA; RNA silencing; RNA interference; Computational biology; Genetics; Gene; Non-coding RNA","retraction":null,"screen_n_in":null,"score":{"opus":0.00983212898421194,"gpt":0.2554013615007473,"spread":0.2455692325165354,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006069765,0.0000843197,0.0000596863,0.00003833868,0.0000290735,0.00001446225,0.00005984752,0.00008111746,0.00001760551],"category_scores_gemma":[0.000009035189,0.00009034928,0.00002641064,0.00004118451,0.00003607311,0.000002460646,0.00005558848,0.00006838476,0.000005559615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001640963,"about_ca_system_score_gemma":0.00006060626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002097112,"about_ca_topic_score_gemma":0.0002625269,"domain_scores_codex":[0.9995137,0.0000116646,0.0001070798,0.0002154461,0.00003147882,0.0001206456],"domain_scores_gemma":[0.9997225,0.000001933525,0.00004238532,0.0001571209,0.00002541756,0.00005066548],"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":[0.00002817082,0.00003248172,0.04024361,0.00001149074,0.000007117717,7.883573e-8,0.00001203897,0.00001780718,0.9373108,0.00004534399,0.0002654351,0.02202568],"study_design_scores_gemma":[0.0006648283,0.00003394549,0.3294338,0.00001088144,0.00002843119,0.000004499484,0.00001990861,0.0002149701,0.4059131,0.0003261529,0.2630967,0.0002527747],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894549,0.009642021,0.0001259946,0.00003896666,0.0005516439,0.0001167302,0.0000334958,0.000005154791,0.0000311022],"genre_scores_gemma":[0.9984842,0.0008827384,0.0001192875,0.00002751804,0.0003126323,0.00001952598,0.0001211442,0.00001337688,0.00001958788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5313977,"threshold_uncertainty_score":0.3684337,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1983991097","doi":"10.1074/jbc.c800074200","title":"The miR-200 Family Inhibits Epithelial-Mesenchymal Transition and Cancer Cell Migration by Direct Targeting of E-cadherin Transcriptional Repressors ZEB1 and ZEB2","year":2008,"lang":"en","type":"article","venue":"Journal of Biological Chemistry","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1630,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Cancer Institute; Natural Sciences and Engineering Research Council of Canada; Susan G. Komen for the Cure; American Cancer Society","keywords":"Cadherin; Epithelial–mesenchymal transition; Repressor; Transition (genetics); Cancer research; Cell biology; Cell; Cell migration; Cancer; Mesenchymal stem cell; microRNA; Biology; Chemistry; Gene; Genetics; Transcription factor","retraction":null,"screen_n_in":null,"score":{"opus":0.01192905957860558,"gpt":0.2228143917736383,"spread":0.2108853321950328,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002189966,0.0001196297,0.0001648624,0.000007012288,0.0001038254,0.00001029118,0.00007694637,0.0001844921,0.00001592752],"category_scores_gemma":[0.00006847744,0.00008037929,0.00009521895,0.00003528156,0.00022231,0.00001025637,0.0000173606,0.0001040506,8.892761e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001697524,"about_ca_system_score_gemma":0.00004504961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001773971,"about_ca_topic_score_gemma":0.000001762178,"domain_scores_codex":[0.9991285,0.00006326897,0.0003723286,0.0001750331,0.0001292403,0.000131584],"domain_scores_gemma":[0.9994153,0.00003321795,0.0002681285,0.00007393739,0.0001264003,0.00008303375],"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":[0.0002632386,0.00005365324,0.001458333,0.00003058637,0.00003081372,0.000001951299,0.0000615079,0.00003621178,0.9969571,4.585623e-7,0.0008220797,0.0002840425],"study_design_scores_gemma":[0.0005063968,0.0001150587,0.007974238,0.00002699444,0.00002120094,0.00005259118,0.0001343788,0.00004409673,0.9869383,0.00001807362,0.004068162,0.0001005331],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713341,0.02812141,0.0000968832,0.0001636621,0.0000341071,0.0000627097,0.00008954522,0.000002616774,0.00009496343],"genre_scores_gemma":[0.9866955,0.01279369,0.0001670709,0.00003655403,0.0001694656,0.000004189754,0.00005441699,0.000006730455,0.00007242955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01536135,"threshold_uncertainty_score":0.3277772,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2004791359","doi":"10.1101/gr.7179508","title":"Application of massively parallel sequencing to microRNA profiling and discovery in human embryonic stem cells","year":2008,"lang":"en","type":"article","venue":"Genome Research","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1107,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"BC Cancer Agency","funders":"BC Cancer Foundation; Deutsche Forschungsgemeinschaft; Michael Smith Health Research BC; Stem Cell Network; Canadian Institutes of Health Research; Canada's Michael Smith Genome Sciences Centre","keywords":"Biology; microRNA; Embryonic stem cell; Deep sequencing; Gene expression profiling; Embryoid body; Gene; Genetics; Computational biology; Small RNA; MiRBase; Gene expression; Regulation of gene expression; Induced pluripotent stem cell; Genome","retraction":null,"screen_n_in":null,"score":{"opus":0.04612339180942388,"gpt":0.3187717010365685,"spread":0.2726483092271446,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004260613,0.00008129056,0.0001110945,0.0001527596,0.00009479834,0.00001466572,0.0001560612,0.00008139813,0.000001471106],"category_scores_gemma":[0.00001243646,0.00008573836,0.00002845736,0.0002087026,0.0001039888,0.000007014659,0.000185678,0.00009990255,0.000007225464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009624418,"about_ca_system_score_gemma":0.0001612993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004927708,"about_ca_topic_score_gemma":0.00001705748,"domain_scores_codex":[0.9989117,0.000104433,0.0001885139,0.0003374147,0.0001875102,0.0002704577],"domain_scores_gemma":[0.999464,0.00001283119,0.00004840445,0.0002833171,0.0001136354,0.0000777941],"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":[0.00004507167,0.00002253548,0.004237036,0.00007665615,0.000009418176,0.000003654374,0.0001077872,0.0007417632,0.9944704,0.00007649811,0.00002340551,0.0001858367],"study_design_scores_gemma":[0.0002947653,0.0001082416,0.02949596,0.00001782201,0.000002202517,0.000007528967,0.0001559892,0.0001153398,0.9691104,0.00005661651,0.0005250449,0.0001100433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954029,0.0009182623,0.002934584,0.00005160764,0.000007147859,0.0005691231,0.00001693299,0.000003370348,0.00009606013],"genre_scores_gemma":[0.9982336,0.0001228547,0.001065031,0.000009463043,0.00005054661,0.00006556663,0.00005417306,0.0000161436,0.0003826339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02535989,"threshold_uncertainty_score":0.3496309,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2138910750","doi":"10.1016/j.cell.2006.10.040","title":"Large-Scale Sequencing Reveals 21U-RNAs and Additional MicroRNAs and Endogenous siRNAs in C. elegans","year":2006,"lang":"en","type":"article","venue":"Cell","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1022,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Institutes of Health; Canada's Michael Smith Genome Sciences Centre; Genome Canada; Howard Hughes Medical Institute","keywords":"Biology; Small nucleolar RNA; Genetics; RNA; Caenorhabditis elegans; Intron; Small RNA; RNA silencing; Gene; microRNA; Long non-coding RNA; Trans-acting siRNA; Non-coding RNA; Argonaute; RNA interference; Computational biology","retraction":null,"screen_n_in":null,"score":{"opus":0.008233153224576293,"gpt":0.2009323098426067,"spread":0.1926991566180304,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009592956,0.000112189,0.00009786015,0.00004012012,0.00005883342,0.00002185971,0.00005136307,0.000106766,0.0001002424],"category_scores_gemma":[0.00001286844,0.0001221551,0.00002948714,0.00004829371,0.00005225826,0.000005085372,0.0000548175,0.00005532357,0.000006021895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002965092,"about_ca_system_score_gemma":0.00004863664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003347823,"about_ca_topic_score_gemma":0.0001330067,"domain_scores_codex":[0.9992537,0.0000363609,0.0001617419,0.0002763628,0.00006433958,0.0002074853],"domain_scores_gemma":[0.999701,0.00001379452,0.0000577593,0.0001395405,0.00003156053,0.0000563709],"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":[0.00001372184,0.00003739119,0.001963087,0.00003192544,0.000004260949,0.00001187384,0.00004363132,0.00002285621,0.9937533,0.00002569332,0.004035091,0.00005712696],"study_design_scores_gemma":[0.0009122575,0.00005237414,0.02406533,0.00003141279,0.00001625112,0.00009833763,0.0001074547,0.000076371,0.930579,0.0006077862,0.04320269,0.0002507391],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933143,0.0028698,0.0002088212,0.00003143264,0.00002664395,0.0001384696,0.0003539947,0.000007695383,0.00304881],"genre_scores_gemma":[0.9969478,0.00008457292,0.0009253634,0.0001071637,0.0001723623,0.00001331718,0.0009384359,0.00001711606,0.0007939186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06317434,"threshold_uncertainty_score":0.498134,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3029717128","doi":"10.1093/nar/gkaa467","title":"miRNet 2.0: network-based visual analytics for miRNA functional analysis and systems biology","year":2020,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":912,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Genome Canada","keywords":"Biology; Workflow; microRNA; Computational biology; Context (archaeology); Gene regulatory network; Visual analytics; Interface (matter); Visualization; Computer science; Bioinformatics; Gene; Genetics; Database; Data mining; Gene expression","retraction":null,"screen_n_in":null,"score":{"opus":0.05968823757798066,"gpt":0.3518531770188,"spread":0.2921649394408194,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006225193,0.0001317208,0.0002149199,0.0001427968,0.0001775716,0.00006693932,0.0001606164,0.0002171412,0.0000588653],"category_scores_gemma":[0.000260842,0.000128078,0.0001393702,0.0006615065,0.0002030714,0.000003874225,0.0001278479,0.0001308798,0.00001132724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003005446,"about_ca_system_score_gemma":0.000141672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002046468,"about_ca_topic_score_gemma":0.00001292946,"domain_scores_codex":[0.9983748,0.0002281733,0.0002305548,0.0005101067,0.0002371872,0.0004191291],"domain_scores_gemma":[0.9990164,0.0000928899,0.00005983403,0.000230372,0.000364788,0.0002356984],"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":[0.001270314,0.0001169625,0.1147043,0.0002100509,0.001530157,0.000003577043,0.00002818926,0.01884114,0.8219902,0.0007505704,0.03882545,0.001729078],"study_design_scores_gemma":[0.002722612,0.001877834,0.07585852,0.00002256894,0.0005649761,0.000004369277,0.0001348801,0.7570001,0.02359083,0.0002041509,0.1374091,0.0006100393],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9226905,0.001544013,0.07423354,0.0006787405,0.00007245134,0.0005191343,0.000108749,0.00002111008,0.0001318294],"genre_scores_gemma":[0.9970991,0.00004352633,0.0007596615,0.0001930758,0.0007033272,0.00005990852,0.0009716917,0.00002544755,0.0001442724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7983993,"threshold_uncertainty_score":0.5222868,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2030714059","doi":"10.1038/ng.392","title":"Lin28 promotes transformation and is associated with advanced human malignancies","year":2009,"lang":"en","type":"article","venue":"Nature Genetics","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":820,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"National Institute of General Medical Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institutes of Health; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Howard Hughes Medical Institute","keywords":"LIN28; Derepression; Psychological repression; microRNA; Biology; Cancer research; Carcinogenesis; Proteostasis; Malignant transformation; HMGA2; Cancer; KLF2; Oncomir; Cell biology; Genetics; Downregulation and upregulation; Gene; Gene expression; Transcription factor; SOX2","retraction":null,"screen_n_in":null,"score":{"opus":0.004455062445350644,"gpt":0.2397715543522619,"spread":0.2353164919069113,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005357159,0.000118262,0.00008445665,0.00002582768,0.0000748645,0.0000221715,0.0000655248,0.0002804937,0.000004338955],"category_scores_gemma":[0.00002005724,0.0001042941,0.00002641829,0.00007079022,0.00003468108,0.00000437034,0.000009488779,0.0001011881,5.535667e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001081252,"about_ca_system_score_gemma":0.00002535622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.152777e-7,"about_ca_topic_score_gemma":0.000007562706,"domain_scores_codex":[0.9994237,0.0000173637,0.0001124556,0.0001916877,0.0001171375,0.0001376915],"domain_scores_gemma":[0.9996209,0.000002421749,0.00006329856,0.000152992,0.000113211,0.00004714337],"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":[0.00003361284,0.00004263845,0.0008768309,0.0000129023,0.00002907521,0.000001082846,0.0001457507,0.00003750501,0.9934593,0.00004689746,0.000313924,0.005000438],"study_design_scores_gemma":[0.0007375269,0.0005640614,0.120888,0.00004342133,0.00004054404,0.000008782011,0.00002253983,0.00009047849,0.8733104,0.000388119,0.003694149,0.0002119412],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954614,0.003480624,0.0002382393,0.0002237999,0.00002170857,0.0002224691,0.00002408012,0.00001683157,0.0003108369],"genre_scores_gemma":[0.9981496,0.0001175342,0.0009038711,0.0004194516,0.00005653558,0.000004160715,0.0002554809,0.00001160265,0.00008174917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1201489,"threshold_uncertainty_score":0.4252991,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2079479637","doi":"10.1038/sj.onc.1209913","title":"A small piece in the cancer puzzle: microRNAs as tumor suppressors and oncogenes","year":2006,"lang":"en","type":"review","venue":"Oncogene","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":731,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of Alberta; Allen Foundation; Lustgarten Foundation; Rita Allen Foundation; March of Dimes Foundation","keywords":"Biology; microRNA; Carcinogenesis; Suppressor; Cancer; Translation (biology); Tumor suppressor gene; Function (biology); Cell cycle; Malignant transformation; Cell biology; Cancer research; Regulation of gene expression; Gene; Messenger RNA; Genetics","retraction":null,"screen_n_in":null,"score":{"opus":0.03544709775433961,"gpt":0.3238040308605048,"spread":0.2883569331061652,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002905283,0.0004512027,0.0006649455,0.00009706127,0.00008344234,0.00006497173,0.0005304263,0.0003403664,0.00003675666],"category_scores_gemma":[0.00005034101,0.0003315325,0.0002733463,0.0002106182,0.0001094296,0.000002722853,0.0001950943,0.0001752862,0.00001869819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000681694,"about_ca_system_score_gemma":0.0003943116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003448097,"about_ca_topic_score_gemma":0.001250638,"domain_scores_codex":[0.9980313,0.0002842312,0.0004777545,0.0007015396,0.0001543394,0.0003507973],"domain_scores_gemma":[0.9988794,0.00003287664,0.0002998954,0.0006579021,0.00005251492,0.00007746569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005835604,0.0002834228,0.0001675439,0.00740871,0.0003480618,0.0001405437,0.00006403467,0.00002242362,0.04661441,0.00004547695,0.0123469,0.9325001],"study_design_scores_gemma":[0.0002619117,0.00004334099,0.00005642859,0.001039099,0.0003654668,0.0001983105,0.000008866878,0.000001463841,0.003940797,0.00001342649,0.9936893,0.0003815969],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01685665,0.9812366,0.000008147576,0.0000468761,0.0001318782,0.0008298759,0.0002365643,0.000009293191,0.0006441397],"genre_scores_gemma":[0.000442896,0.9966476,0.0001991954,0.0001719182,0.0005974137,0.000379674,0.0008320133,0.00008115712,0.0006481354],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9813424,"threshold_uncertainty_score":0.9999137,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2047043150","doi":"10.1038/nature10486","title":"Inhibition of miR-33a/b in non-human primates raises plasma HDL and lowers VLDL triglycerides","year":2011,"lang":"en","type":"article","venue":"Nature","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":697,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; National Institute on Aging; Canadian Institutes of Health Research","keywords":"Endocrinology; ABCA1; microRNA; PCSK9; Internal medicine; Cholesterol; Biology; Apolipoprotein B; Lipoprotein; Very low-density lipoprotein; Sterol regulatory element-binding protein; High-density lipoprotein; Gene; LDL receptor; Sterol; Medicine; Genetics; Transporter","retraction":null,"screen_n_in":null,"score":{"opus":0.007159008808033468,"gpt":0.2509450695449111,"spread":0.2437860607368776,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006455084,0.00009182646,0.00009770653,0.00005746734,0.00002245988,0.000005575299,0.00005174642,0.0005225482,0.00002675811],"category_scores_gemma":[0.00003606211,0.00008741162,0.00003579718,0.00005999018,0.00007044072,0.00000570342,0.0000405897,0.0001731287,0.000001075451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009134266,"about_ca_system_score_gemma":0.00001974597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001491933,"about_ca_topic_score_gemma":0.00004612547,"domain_scores_codex":[0.9994999,0.00001700682,0.0001347294,0.0001824066,0.00006522213,0.0001007244],"domain_scores_gemma":[0.9997136,0.000004631962,0.00007268909,0.000135045,0.00004595784,0.00002805829],"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":[0.0001352991,0.00005679849,0.006278325,0.00007325794,0.0000147392,0.000002747782,0.0001006328,0.000002367488,0.9920938,0.00006257186,0.0008305432,0.0003489228],"study_design_scores_gemma":[0.0006248489,0.00007392459,0.09325997,0.00004278311,0.00001164508,0.000004378027,0.00003774432,0.00001385753,0.9050296,0.0002116352,0.00059051,0.00009912473],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997925,0.000875456,0.00001012938,0.00002521111,0.00004534682,0.0001418347,0.00002077989,0.000005688775,0.0009505976],"genre_scores_gemma":[0.9992837,0.00004919533,0.0003817055,0.00005219039,0.00003955211,0.000006753675,0.0001222291,0.00001136011,0.00005334431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08706421,"threshold_uncertainty_score":0.403037,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2069759108","doi":"10.1371/journal.pone.0000116","title":"MiRNA-Directed Regulation of VEGF and Other Angiogenic Factors under Hypoxia","year":2006,"lang":"en","type":"article","venue":"PLoS ONE","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":658,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Sunnybrook Health Science Centre; University of Toronto; Health Sciences Centre","funders":"Canadian Institutes of Health Research; National Natural Science Foundation of China","keywords":"microRNA; Biology; Regulation of gene expression; Gene expression; Gene; Computational biology; Cell biology; Psychological repression; Genetics","retraction":null,"screen_n_in":null,"score":{"opus":0.0198375094512698,"gpt":0.2105011080622353,"spread":0.1906635986109655,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003297899,0.00007900254,0.00009239178,0.00003454523,0.00002234418,0.000006351303,0.00004013288,0.0000875202,0.00004188234],"category_scores_gemma":[0.00001520012,0.00007889056,0.00003852918,0.00005908827,0.0000451573,0.000002528222,0.00002254751,0.00001710243,0.000002264327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009594725,"about_ca_system_score_gemma":0.00001523973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004199272,"about_ca_topic_score_gemma":0.00002663511,"domain_scores_codex":[0.999496,0.00002682505,0.0001292753,0.0001573538,0.0001000778,0.00009050324],"domain_scores_gemma":[0.9996656,0.000006343795,0.00007607164,0.000168053,0.00005650133,0.00002739281],"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":[0.00002375993,0.0001878445,0.02338878,0.00002511279,0.00008949297,6.227248e-8,0.000007975712,0.00001839621,0.9760038,0.00006341111,0.0001670407,0.00002434801],"study_design_scores_gemma":[0.0001809493,0.00002544665,0.3557652,0.00001557266,0.00004833132,3.655095e-7,0.000004060288,0.00007218206,0.6434972,0.0002139543,0.0001119596,0.00006479291],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985053,0.000851178,0.00009022593,0.0000222455,0.000009584212,0.0001241698,0.00002480011,0.00001810186,0.0003544058],"genre_scores_gemma":[0.9985222,0.000008866983,0.0008220269,0.00001900584,0.00007546705,0.000003939687,0.0001424962,0.00001732879,0.0003887218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3325066,"threshold_uncertainty_score":0.3217064,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2017905687","doi":"10.1158/0008-5472.can-09-1298","title":"Up-regulation of <i>miR-200</i> and <i>let-7</i> by Natural Agents Leads to the Reversal of Epithelial-to-Mesenchymal Transition in Gemcitabine-Resistant Pancreatic Cancer Cells","year":2009,"lang":"en","type":"article","venue":"Cancer Research","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":658,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Cancer Institute; Public Health Agency of Canada","keywords":"Gemcitabine; Pancreatic cancer; Vimentin; Epithelial–mesenchymal transition; microRNA; Cancer research; Slug; Cancer; Biology; Transfection; Cancer cell; Mesenchymal stem cell; Cell biology; Metastasis; Immunology; Cell culture; Immunohistochemistry; Gene; Genetics","retraction":null,"screen_n_in":null,"score":{"opus":0.01613831642948406,"gpt":0.3188672432641309,"spread":0.3027289268346468,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004663711,0.0001200497,0.0001753936,0.0001093502,0.00005883798,0.00001435569,0.0001851832,0.00008862018,0.00003155312],"category_scores_gemma":[0.000047076,0.0001007032,0.0000479768,0.0003934196,0.0001057774,0.000009911723,0.0000471147,0.0001205287,0.000001743868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009392235,"about_ca_system_score_gemma":0.0001503291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006527238,"about_ca_topic_score_gemma":0.0003945845,"domain_scores_codex":[0.9985361,0.0001859588,0.000273269,0.0003203959,0.0003869907,0.0002972517],"domain_scores_gemma":[0.9992952,0.00002369464,0.00006413686,0.0002818886,0.0002375854,0.00009744157],"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":[0.0007590951,0.0000371572,0.0003561269,0.00006773561,0.00001644445,6.299356e-7,0.0003493655,0.001001799,0.9854715,0.00001123423,0.01003449,0.001894455],"study_design_scores_gemma":[0.0006537833,0.0002227144,0.02958184,0.0001400727,0.00001668234,7.705442e-7,0.00006535929,0.0001588016,0.9655867,0.0000294785,0.003425459,0.0001182904],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940744,0.002735738,0.0001069224,0.001997001,0.00008583929,0.0006929938,0.0002660439,0.000003096973,0.00003798961],"genre_scores_gemma":[0.9986343,0.0003870967,0.00006715143,0.0002698105,0.0001060471,0.00007280078,0.00006424933,0.00001445968,0.0003840562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02922572,"threshold_uncertainty_score":0.4106556,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2111456931","doi":"10.1200/jco.2011.38.2697","title":"Plasma MicroRNA Panel to Diagnose Hepatitis B Virus–Related Hepatocellular Carcinoma","year":2011,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":643,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"CAE (Canada)","funders":"","keywords":"Medicine; Hepatocellular carcinoma; Cirrhosis; Internal medicine; Hepatitis B virus; microRNA; Receiver operating characteristic; Oncology; Cohort; Liver cancer; Gastroenterology; Liver disease; Logistic regression; Hepatitis B; Cancer; Area under the curve; Virus; Immunology; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.092397048890682,"gpt":0.3544049140683008,"spread":0.2620078651776188,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001418926,0.0001859266,0.0006951853,0.00009880702,0.00004554022,0.000009223713,0.0004015156,0.000622643,0.0001877008],"category_scores_gemma":[0.001844553,0.0001637268,0.0005090248,0.0001184766,0.0001522595,0.00001060783,0.0001570869,0.0003849806,0.00007552705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005765763,"about_ca_system_score_gemma":0.0006470802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001463511,"about_ca_topic_score_gemma":0.0001807766,"domain_scores_codex":[0.9968249,0.0004689121,0.001918851,0.0003042301,0.0001994303,0.0002837404],"domain_scores_gemma":[0.9973364,0.0001802793,0.001214045,0.0003376802,0.00039936,0.0005322589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001971317,0.001337752,0.6868004,0.00001577129,0.0003971586,0.0007347228,0.0001760689,0.00001985151,0.2682534,0.00007607755,0.01535123,0.02486631],"study_design_scores_gemma":[0.003510415,0.007357659,0.7143046,0.00003661555,0.0002198972,0.0003647631,0.00003003554,0.0001442176,0.1472926,0.0003472626,0.1260703,0.000321676],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961146,0.0005118733,0.0003723316,0.0003902576,0.001205394,0.0002029671,0.00001591595,0.000006621971,0.001180107],"genre_scores_gemma":[0.9937335,0.0005658321,0.003797635,0.0009475581,0.0006941184,0.000006732172,0.00001647704,0.00003153398,0.0002066434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1209608,"threshold_uncertainty_score":0.6676584,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2063408296","doi":"10.1371/journal.pone.0109973","title":"MicroRNA Related Polymorphisms and Breast Cancer Risk","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":638,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; McGill University; McGill University Health Centre; Royal Victoria Regional Health Centre; Université Laval; Royal Victoria Hospital; Centre hospitalier universitaire de Québec; St. Michael's Hospital; Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute; Public Health Ontario; University of Toronto","funders":"Medical Research and Materiel Command; National Cancer Institute; Universitätsklinikum Hamburg-Eppendorf; Cancer Council Tasmania; Medical Research Council; U.S. Army; National Institutes of Health; Rheinische Friedrich-Wilhelms-Universität Bonn; Ministero dello Sviluppo Economico; Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail; Agence Française de Sécurité Sanitaire de l'Environnement et du Travail; National Health and Medical Research Council; Oulun Yliopisto; Deutsche Krebshilfe; Medizinischen Hochschule Hannover; Norges Forskningsråd; Institut National Du Cancer; Leids Universitair Medisch Centrum; Vetenskapsrådet; Stockholms Läns Landsting; Kuopion Yliopistollinen Sairaala; Canadian Institutes of Health Research; General Secretariat for Research and Technology; Bundesministerium für Bildung und Forschung; Ministerio de Economía y Competitividad; Deutsche Gesetzliche Unfallversicherung; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Erasmus Medisch Centrum; Fonds Wetenschappelijk Onderzoek; Cancerfonden; Karolinska Institutet; University of Cambridge; ZonMw; Robert Bosch Stiftung; National Breast Cancer Foundation; European Commission; Academy of Finland; King's College London; McGill University; Breast Cancer Research Foundation; KWF Kankerbestrijding; Herlev Hospital; Fondation du cancer du sein du Québec; Wellcome Trust; Cancer Research UK; Roswell Park Cancer Institute; National Institute for Health and Care Research; Associazione Italiana per la Ricerca sul Cancro; Itä-Suomen Yliopisto; Ministère du Développement Économique, de l’Innovation et de l’Exportation; Lon V. Smith Foundation; European Social Fund; Agency for Science, Technology and Research; McGill University Health Centre; David F. and Margaret T. Grohne Family Foundation; Ligue Contre le Cancer; Deutsches Krebsforschungszentrum; Helsingin ja Uudenmaan Sairaanhoitopiiri; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research; Fondation de France; Cancer Council Victoria; California Department of Public Health; Sundhed og Sygdom, Det Frie Forskningsråd; U.S. Department of Health and Human Services; Instituto de Salud Carlos III; Ohio State University; Cancer Care Ontario; Susan G. Komen for the Cure","keywords":"Single-nucleotide polymorphism; Breast cancer; Drosha; Genome-wide association study; Odds ratio; microRNA; Case-control study; Oncology; Biology; Estrogen receptor; Cancer; Bioinformatics; Medicine; Internal medicine; Genetics; Genotype; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.00840533947213463,"gpt":0.2010539923849224,"spread":0.1926486529127878,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007525132,0.00008846471,0.00009277578,0.00002088055,0.00005293369,0.00001249634,0.0000624589,0.00009780817,0.00007867035],"category_scores_gemma":[0.00003124394,0.00008821298,0.00002688354,0.00004003586,0.00005364548,0.000002278547,0.00005093656,0.00005252751,0.00001750112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009847845,"about_ca_system_score_gemma":0.00001806244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005179448,"about_ca_topic_score_gemma":0.00001402272,"domain_scores_codex":[0.9994195,0.00004686115,0.0001068943,0.0002211918,0.00007795677,0.0001275981],"domain_scores_gemma":[0.9995883,0.000005029969,0.0000727992,0.0002105604,0.00004745718,0.00007586226],"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":[0.00003358129,0.0001213268,0.03235057,0.00001674992,0.0001391926,2.623651e-7,0.00001233897,0.000003588283,0.9655415,0.00001938381,0.0002824079,0.001479128],"study_design_scores_gemma":[0.0006722415,0.00005885201,0.2992099,0.00006442384,0.0001853305,0.00001015506,0.000003454479,0.0004127618,0.6982593,0.0001737772,0.000741243,0.0002085771],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976751,0.001400771,0.00005694186,0.0003619728,0.00002154519,0.0001012178,0.00007407834,0.00001570425,0.0002926362],"genre_scores_gemma":[0.9983391,0.0004052593,0.0004420477,0.0001056574,0.0001494405,0.00001219553,0.00005942382,0.00001946326,0.0004673676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2672822,"threshold_uncertainty_score":0.3597221,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2154040159","doi":"10.1158/1535-7163.mct-08-0021","title":"Involvement of microRNA-451 in resistance of the MCF-7 breast cancer cells to chemotherapeutic drug doxorubicin","year":2008,"lang":"en","type":"article","venue":"Molecular Cancer Therapeutics","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":636,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Lethbridge","funders":"Oak Ridge Institute for Science and Education","keywords":"microRNA; Cancer research; Cancer cell; Doxorubicin; Breast cancer chemotherapy; Cancer; Transfection; Biology; Epigenetics; Breast cancer; MCF-7; Drug resistance; Gene silencing; Multiple drug resistance; Cell culture; Gene; Chemotherapy; Genetics","retraction":null,"screen_n_in":null,"score":{"opus":0.0127625030576074,"gpt":0.251522607907698,"spread":0.2387601048500906,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001300362,0.0002273809,0.0002592267,0.00007292305,0.00004979413,0.000005413262,0.0004421392,0.0001129017,0.00003222573],"category_scores_gemma":[0.000002914645,0.0001966225,0.000164365,0.000393067,0.0001845584,0.000004065671,0.0001175062,0.0001000678,0.000001174725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001215975,"about_ca_system_score_gemma":0.0003089249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002987227,"about_ca_topic_score_gemma":0.000671403,"domain_scores_codex":[0.9985027,0.0001139881,0.0004240088,0.0003663647,0.0003012051,0.0002916828],"domain_scores_gemma":[0.9988173,0.000007715645,0.0002401255,0.0006850901,0.0001884323,0.0000612994],"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":[0.0002278254,0.0001285753,0.007594722,0.00009273171,0.0001457965,0.000001671551,0.0004284585,0.001549562,0.9888824,0.00001924453,0.0002769557,0.0006520728],"study_design_scores_gemma":[0.0007344747,0.00002371277,0.02853227,0.0001468149,0.00005488636,0.000002462006,0.00004079712,0.00002769167,0.9640594,0.0000392812,0.006134213,0.0002040212],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893808,0.008169075,0.0003672591,0.001147706,0.0001625521,0.0005451008,0.0001541827,0.000005640661,0.00006769203],"genre_scores_gemma":[0.9962324,0.0009512859,0.000320874,0.001950221,0.00005162844,0.00007387828,0.000008983857,0.00004960885,0.0003611382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02482301,"threshold_uncertainty_score":0.8018032,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2042027879","doi":"10.1074/jbc.m608939200","title":"An E2F/miR-20a Autoregulatory Feedback Loop","year":2006,"lang":"en","type":"article","venue":"Journal of Biological Chemistry","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":616,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institute for Research in Immunology and Cancer; Université de Montréal","funders":"","keywords":"Control theory (sociology); Feedback loop; Loop (graph theory); Negative feedback; Computer science; Physics; Mathematics; Control (management); Artificial intelligence; Voltage; Combinatorics; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.01026847331347938,"gpt":0.2434040811866822,"spread":0.2331356078732028,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002510695,0.0001834032,0.0002199549,0.00001965353,0.00005316866,0.00002982371,0.0003281739,0.0003727852,0.0001956556],"category_scores_gemma":[0.00009130956,0.0001415196,0.0002163201,0.00006829695,0.0001620962,0.000008284615,0.00005522737,0.0001600429,0.000006559021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004421088,"about_ca_system_score_gemma":0.0001005027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002086893,"about_ca_topic_score_gemma":4.673391e-7,"domain_scores_codex":[0.9988234,0.00005501784,0.0004623024,0.0002507743,0.0001751392,0.0002333809],"domain_scores_gemma":[0.9988402,0.00001173676,0.0004882039,0.0002966648,0.0001939926,0.0001692768],"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":[0.0001343962,0.0001990265,0.007055115,0.00001678327,0.00003007563,0.00001695182,0.000001813215,0.0002267227,0.9879687,0.000009710424,0.003904804,0.0004358392],"study_design_scores_gemma":[0.0005574971,0.0002069036,0.06075571,0.00001730633,0.00002137235,0.000190195,0.00001964472,0.00004530725,0.9249853,0.0002951324,0.01269745,0.0002081858],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968926,0.001489748,0.0004453595,0.00006989899,0.00009372524,0.00004992092,0.00001526828,0.00001340785,0.0009300688],"genre_scores_gemma":[0.9971442,0.00003401129,0.0008124091,0.00008199556,0.00147181,0.000001941063,0.0001219677,0.00001559322,0.0003161331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06298347,"threshold_uncertainty_score":0.5771001,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2085350682","doi":"10.1038/nature09830","title":"DICER1 deficit induces Alu RNA toxicity in age-related macular degeneration","year":2011,"lang":"en","type":"article","venue":"Nature","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":614,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Centre hospitalier de l'Université Laval; Université Laval","funders":"National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences; National Heart, Lung, and Blood Institute; National Eye Institute; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Howard Hughes Medical Institute","keywords":"Alu element; microRNA; RNA; Gene knockdown; Macular degeneration; Biology; Downregulation and upregulation; Cell biology; RNA interference; Retinal degeneration; Retinal pigment epithelium; Cancer research; Retina; Genetics; Gene; Medicine; Human genome; Ophthalmology; Neuroscience","retraction":null,"screen_n_in":null,"score":{"opus":0.01085720637023821,"gpt":0.2403046805883772,"spread":0.229447474218139,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001160163,0.0001185212,0.00008876061,0.00005577778,0.00003740315,0.0000125784,0.0001295143,0.001205027,0.00006972511],"category_scores_gemma":[0.00005817036,0.0001152199,0.0000570122,0.0001292784,0.00003300947,0.00000601091,0.00004730922,0.0004298364,0.00001128974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002566367,"about_ca_system_score_gemma":0.00004046658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001927857,"about_ca_topic_score_gemma":0.0001014401,"domain_scores_codex":[0.9992489,0.00005957273,0.0001599786,0.0002698503,0.0001099637,0.0001517235],"domain_scores_gemma":[0.9996061,0.000002589632,0.00006421971,0.0002272109,0.00005156118,0.00004830254],"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":[0.00003393225,0.00005854443,0.001777498,0.000008676779,0.00002216467,0.00001260714,0.00006433071,0.00004360057,0.9961538,0.0003203643,0.0005926001,0.0009118842],"study_design_scores_gemma":[0.000370989,0.00004110333,0.0630876,0.00001445882,0.00001693865,0.000006112479,0.0000149714,0.00006175379,0.9344753,0.0003957044,0.001350747,0.0001643276],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947343,0.002564024,0.00007763892,0.00005226386,0.0001458776,0.0001596857,0.0000100459,0.00001521531,0.002240953],"genre_scores_gemma":[0.998551,0.00004316883,0.000589293,0.0002369233,0.00008949947,0.00001051688,0.000311527,0.00001662605,0.0001514589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06167851,"threshold_uncertainty_score":0.929427,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2748577514","doi":"10.1038/nbt.3947","title":"An integrated expression atlas of miRNAs and their promoters in human and mouse","year":2017,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":606,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Child and Family Research Institute; University of British Columbia","funders":"RIKEN; Biotechnology and Biological Sciences Research Council; Novo Nordisk Fonden; Russian Science Foundation; Novo Nordisk; Ministry of Education, Culture, Sports, Science and Technology; National Cancer Institute; H. Lundbeck A/S; Lundbeckfonden; Conquer Cancer Foundation","keywords":"Promoter; microRNA; Atlas (anatomy); Biology; Computational biology; Gene expression; Genetics; Gene; Anatomy","retraction":null,"screen_n_in":null,"score":{"opus":0.004883814505546584,"gpt":0.2591928271405895,"spread":0.2543090126350429,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007876497,0.0001031132,0.0001180281,0.00008183387,0.0000702606,0.00001472822,0.0002018835,0.0009820556,0.00000181611],"category_scores_gemma":[0.00007930379,0.00008173216,0.00001597058,0.00002589254,0.0002878734,0.000006249112,0.0001376636,0.0002209805,9.465543e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007007718,"about_ca_system_score_gemma":0.00001380814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002306662,"about_ca_topic_score_gemma":0.00009431221,"domain_scores_codex":[0.999456,0.00002652483,0.0001063366,0.0002772505,0.00002922933,0.0001046695],"domain_scores_gemma":[0.9993236,0.000002369947,0.0001110644,0.0005035027,0.00002932366,0.0000301179],"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":[0.00004021493,0.00003582769,0.00322078,0.00001588536,0.000007647851,0.000001264141,0.00002282537,4.898554e-7,0.9926125,0.0001527976,0.00004948466,0.003840277],"study_design_scores_gemma":[0.0003959006,0.0001529802,0.01666122,0.00002704391,0.00000284977,0.00000751303,0.00004509278,0.00003649491,0.9804901,0.0001828744,0.001913676,0.00008428218],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983945,0.001034581,0.00008445925,0.0002688987,0.00002465804,0.0001418976,0.00001687282,0.00001391659,0.00002020095],"genre_scores_gemma":[0.9991918,0.0001003618,0.00058257,0.00001664618,0.00001751423,0.000004588581,0.00005541689,0.000010336,0.00002072253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01344045,"threshold_uncertainty_score":0.7574512,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2768781242","doi":"10.1093/nar/gkx1144","title":"mirDIP 4.1—integrative database of human microRNA target predictions","year":2017,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":590,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Biology; microRNA; Computational biology; Measure (data warehouse); Gene; Bioinformatics; Computer science; Data mining; Genetics","retraction":null,"screen_n_in":null,"score":{"opus":0.04544454186593114,"gpt":0.3747696861785874,"spread":0.3293251443126562,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006150284,0.0001244491,0.0001411964,0.0001072147,0.000711614,0.0000709189,0.0007263541,0.0001446629,0.0002444788],"category_scores_gemma":[0.0005225031,0.0001144714,0.00009836996,0.00007618417,0.0007130607,0.00001596289,0.0005320513,0.0002307385,0.00004296084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003704012,"about_ca_system_score_gemma":0.0001477881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001325552,"about_ca_topic_score_gemma":0.00005387092,"domain_scores_codex":[0.9985511,0.0001646988,0.0002113337,0.0003859957,0.0003616008,0.0003253274],"domain_scores_gemma":[0.9978849,0.0000166442,0.0001200443,0.001358581,0.0004836383,0.0001362307],"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":[0.00006802294,0.0001109513,0.006850972,0.000035531,0.00005966123,0.00000350994,0.0000652054,0.000003308065,0.9725711,0.0004265883,0.01952886,0.0002763255],"study_design_scores_gemma":[0.0006167642,0.0003040431,0.05918683,0.00007506218,0.00001388652,0.000005486272,0.0001761783,0.0001589255,0.9164043,0.0004497525,0.02245814,0.000150614],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987879,0.0003782857,0.0007075898,0.0002575907,0.00007911142,0.0003426436,0.0003187217,0.00001205702,0.01002494],"genre_scores_gemma":[0.9957687,0.00006575174,0.001268333,0.00001223201,0.0002457183,0.00003294836,0.0003764356,0.00002833796,0.002201517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05616675,"threshold_uncertainty_score":0.5473232,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2896019639","doi":"10.1261/rna.068692.118","title":"Post-transcriptional control of miRNA biogenesis","year":2018,"lang":"en","type":"review","venue":"RNA","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":585,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Medical Research Council; Medical Research Council Canada; Wellcome Trust","keywords":"Drosha; Dicer; Biology; microRNA; Gene silencing; Argonaute; Post-transcriptional regulation; RNA-binding protein; Biogenesis; Regulation of gene expression; Ribonuclease III; Cell biology; Gene expression; RNA-induced silencing complex; Computational biology; RNA; Genetics; RNA interference; Gene; Non-coding RNA","retraction":null,"screen_n_in":null,"score":{"opus":0.01790409103357319,"gpt":0.2829568286532629,"spread":0.2650527376196897,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000111363,0.0002280305,0.0005124343,0.00007515162,0.00002777816,0.000007949245,0.0002290947,0.0003376191,0.0001182269],"category_scores_gemma":[0.00003991801,0.0002005947,0.0005751381,0.00007364165,0.00009667676,0.000001379489,0.00003162308,0.00004496904,0.00005481195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001983025,"about_ca_system_score_gemma":0.0002532626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000784289,"about_ca_topic_score_gemma":0.000003669254,"domain_scores_codex":[0.9989352,0.00008930522,0.0003804471,0.0003119489,0.0001307204,0.0001523583],"domain_scores_gemma":[0.9990863,0.00001102232,0.0002651158,0.0003906502,0.000180118,0.00006674909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001142857,0.0002032543,0.00001538118,0.01506186,0.00157784,0.000004495563,0.000009467883,0.000001499091,0.4261616,0.0003672225,0.005017119,0.5514659],"study_design_scores_gemma":[0.0001654111,0.00007979074,0.00004335777,0.0009029276,0.0005220626,0.00001482281,8.118595e-7,0.000001042614,0.003533956,0.000007810823,0.9945289,0.0001990595],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000474632,0.9970917,0.0005440009,0.000009214779,0.0001834483,0.000353504,0.001145178,0.000006878446,0.0001914376],"genre_scores_gemma":[0.001598035,0.9957662,0.0002023085,0.00003842723,0.0005399647,0.00003351832,0.001473821,0.00004293875,0.0003048474],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9895118,"threshold_uncertainty_score":0.8180014,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2094097897","doi":"10.1016/j.cell.2010.01.007","title":"miR-328 Functions as an RNA Decoy to Modulate hnRNP E2 Regulation of mRNA Translation in Leukemic Blasts","year":2010,"lang":"en","type":"article","venue":"Cell","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":567,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"National Cancer Institute","keywords":"Biology; Translation (biology); RNA-binding protein; Messenger RNA; Heterogeneous nuclear ribonucleoprotein; Heterogeneous ribonucleoprotein particle; Cell biology; Three prime untranslated region; microRNA; Molecular biology; RNA; Ribonucleoprotein; Untranslated region; Genetics; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.008115636433225501,"gpt":0.2392081812439088,"spread":0.2310925448106833,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001248929,0.0001146876,0.00009852722,0.0001025251,0.00003504576,0.00001155968,0.0001059762,0.0001793372,0.00007992693],"category_scores_gemma":[0.00001675976,0.0001299858,0.00005809967,0.0001426916,0.00003200962,0.00001250725,0.00002068948,0.00008100733,0.00003460321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002125018,"about_ca_system_score_gemma":0.00007695571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004616897,"about_ca_topic_score_gemma":0.0003101352,"domain_scores_codex":[0.9991727,0.00003928065,0.0002413385,0.0002922863,0.0001029715,0.0001513675],"domain_scores_gemma":[0.9993615,0.000007778827,0.00008475377,0.0003692297,0.00007783246,0.00009894564],"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":[0.00009026668,0.00007459008,0.0005297593,0.00001645188,0.000005725557,3.366484e-7,0.0001000039,0.003695383,0.9915236,0.00001330683,0.0001833788,0.003767244],"study_design_scores_gemma":[0.0005307437,0.0001088365,0.05461705,0.000009802035,0.00001508292,0.000002508531,0.00002465435,0.002493502,0.9391377,0.0002137711,0.002701988,0.0001443465],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964206,0.00007594305,0.001854862,0.00005275787,0.0001824256,0.0002663952,0.00001539905,0.00001229858,0.001119325],"genre_scores_gemma":[0.9979188,0.000006293658,0.001075454,0.00003570565,0.0001135996,0.00001447787,0.0002712481,0.00002241873,0.0005420352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05408729,"threshold_uncertainty_score":0.5300665,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2127586500","doi":"10.4049/jimmunol.0904060","title":"MicroRNA-21 and MicroRNA-148a Contribute to DNA Hypomethylation in Lupus CD4+ T Cells by Directly and Indirectly Targeting DNA Methyltransferase 1","year":2010,"lang":"en","type":"article","venue":"The Journal of Immunology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":558,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institute of Infection and Immunity","funders":"Chinese Academy of Sciences","keywords":"DNMT1; DNA methylation; DNA methyltransferase; microRNA; Biology; Systemic lupus erythematosus; Epigenetics; Methylation; Cancer research; Regulation of gene expression; Methyltransferase; Lupus erythematosus; Gene expression; Molecular biology; Immunology; Gene; Genetics; Disease; Antibody; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.004029368273045768,"gpt":0.2185922635993921,"spread":0.2145628953263463,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001177692,0.0001965499,0.0003028454,0.000164964,0.0001010796,0.00003760074,0.0002342987,0.0002419948,0.00001406955],"category_scores_gemma":[0.0002413667,0.0001567598,0.00006293271,0.0001465664,0.0001809492,0.0000200977,0.00009837189,0.0003777662,0.000002750051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002639657,"about_ca_system_score_gemma":0.00006942003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000413512,"about_ca_topic_score_gemma":0.00007173388,"domain_scores_codex":[0.9985428,0.0003473682,0.0005051995,0.0002040491,0.0001014961,0.0002990225],"domain_scores_gemma":[0.9991019,0.0001332558,0.0002848576,0.0002122563,0.0001637786,0.0001039652],"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":[0.0005180826,0.00004691616,0.002079638,0.000008900838,0.000126965,0.000005251324,0.0003131668,0.000007347161,0.9932106,0.000005072937,0.0008011131,0.002876953],"study_design_scores_gemma":[0.00127807,0.0002665951,0.01180421,0.00002052377,0.00006788426,0.0002734913,0.00009991426,0.00000778069,0.9764863,0.00007320185,0.009451803,0.000170175],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845412,0.01329683,0.0005378001,0.0009038381,0.0004388411,0.0002240612,0.00003578945,0.000004815435,0.00001680626],"genre_scores_gemma":[0.997484,0.001326777,0.0007818986,0.0001881363,0.0001128842,0.000003717281,0.00002453557,0.00002437073,0.00005373871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01672424,"threshold_uncertainty_score":0.6392478,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2047213909","doi":"10.1073/pnas.0703942104","title":"Tumor protein 53-induced nuclear protein 1 expression is repressed by miR-155, and its restoration inhibits pancreatic tumor development","year":2007,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":550,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Vancouver General Hospital; University of Toronto","funders":"Institut National de la Santé et de la Recherche Médicale; Centre National de la Recherche Scientifique; Kanazawa Medical University; Association pour la Recherche sur le Cancer","keywords":"Cancer research; miR-155; Pancreatic cancer; Apoptosis; Biology; Cancer; Medicine; microRNA; Internal medicine; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.02266867140047045,"gpt":0.2742662133435361,"spread":0.2515975419430656,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00101494,0.000111518,0.0001076198,0.00007883323,0.0001977915,0.00002444144,0.0002964537,0.00008557892,0.000006696934],"category_scores_gemma":[0.0004716861,0.00008482135,0.00003166681,0.0002450735,0.0001684203,0.00004991489,0.0001515337,0.0000779432,8.932723e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002923514,"about_ca_system_score_gemma":0.00005650795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001454605,"about_ca_topic_score_gemma":5.938767e-8,"domain_scores_codex":[0.9985003,0.00001019078,0.0003468677,0.0003351709,0.0006589174,0.0001485947],"domain_scores_gemma":[0.9991847,0.00000977737,0.0004733997,0.00001515364,0.0002640962,0.00005286515],"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":[0.00006195789,0.00003775636,0.0003019024,0.00008857628,0.000006959856,9.255553e-9,0.00009663621,0.000001347437,0.9984838,0.0003665016,0.0004715792,0.00008301932],"study_design_scores_gemma":[0.0002041369,0.00005297139,0.01194399,0.0002229622,0.000004957775,0.000004723805,0.00006206092,0.00008862563,0.9863369,0.0004970264,0.0004798531,0.0001018228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984423,0.0002223572,0.00000256804,0.000393511,0.000004984658,0.0006165853,0.000008037512,0.000007224099,0.0003024552],"genre_scores_gemma":[0.9977034,0.000002463924,0.00197556,0.0001252953,0.00004329087,0.00002816663,0.000001326329,0.000007850953,0.0001126767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01214688,"threshold_uncertainty_score":0.3458914,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2025635382","doi":"10.1073/pnas.0706901104","title":"MicroRNA-378 promotes cell survival, tumor growth, and angiogenesis by targeting SuFu and Fus-1 expression","year":2007,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":520,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"microRNA; Angiogenesis; Transfection; Luciferase; Cell growth; Biology; Psychological repression; Cancer research; Molecular biology; Cell; Small interfering RNA; Cell culture; Gene expression; Cell biology; Gene; Genetics","retraction":null,"screen_n_in":null,"score":{"opus":0.01260768069823856,"gpt":0.2568899484610411,"spread":0.2442822677628025,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008902582,0.00008269883,0.00008320814,0.00005687306,0.0001413715,0.00001779331,0.0002204141,0.00007038932,0.000002365701],"category_scores_gemma":[0.0002431221,0.00006055433,0.0000338537,0.0001716714,0.0004241516,0.00002398294,0.0001547547,0.0000400342,8.582229e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005373886,"about_ca_system_score_gemma":0.00001313791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002982976,"about_ca_topic_score_gemma":3.18268e-8,"domain_scores_codex":[0.9990872,0.000006083432,0.0002001597,0.0002422026,0.0003383743,0.0001260358],"domain_scores_gemma":[0.9995219,0.00003041624,0.0002604088,0.000006702066,0.0001386264,0.00004198524],"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":[0.00001624897,0.00002167667,0.01599792,0.00007233862,0.000004468871,3.37586e-9,0.00003301742,8.120117e-7,0.9829712,0.0001049256,0.0007220561,0.00005534146],"study_design_scores_gemma":[0.0001226739,0.00002894394,0.04039928,0.00002455759,0.000007126939,0.000003418374,0.00009423957,0.00002000058,0.9584939,0.0006117423,0.0001243201,0.00006979117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971917,0.001963488,0.000005207971,0.0002550697,0.000008927352,0.0001212219,0.000017013,0.000003322226,0.0004340365],"genre_scores_gemma":[0.997985,0.00007547467,0.001785513,0.00006101247,0.0000570413,0.000002424289,0.000001172054,0.000004759737,0.00002760456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02447729,"threshold_uncertainty_score":0.2469334,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2159638567","doi":"10.1126/science.1146067","title":"MicroRNA Inhibition of Translation Initiation in Vitro by Targeting the Cap-Binding Complex eIF4F","year":2007,"lang":"en","type":"article","venue":"Science","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":519,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"microRNA; Translation (biology); Messenger RNA; Gene silencing; Biology; Cell biology; Eukaryotic translation; Gene expression; Protein biosynthesis; Gene; Molecular biology; Genetics","retraction":null,"screen_n_in":null,"score":{"opus":0.01710408002849436,"gpt":0.2716304265396682,"spread":0.2545263465111738,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009870495,0.0000544196,0.00004671965,0.00006922539,0.00009817583,0.00001499162,0.00010527,0.00003977044,0.000005399791],"category_scores_gemma":[0.00007353825,0.00004789479,0.000022806,0.00032879,0.0001987988,0.00001516749,0.00002345652,0.00003831466,0.000001512644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003176162,"about_ca_system_score_gemma":0.00005327617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001293755,"about_ca_topic_score_gemma":0.00001408117,"domain_scores_codex":[0.9992791,0.00002684316,0.0001956612,0.0001752708,0.0001632765,0.0001598677],"domain_scores_gemma":[0.9996758,0.00001390244,0.0001096603,0.0001068218,0.00006703011,0.00002680521],"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":[0.00002572504,0.00001440527,0.0006161295,0.000005832197,8.933965e-7,1.777139e-7,0.0001203761,0.00004336375,0.9970925,0.00001068812,0.00006642791,0.00200352],"study_design_scores_gemma":[0.0001746263,0.00001383464,0.01469875,0.00000807555,0.000002239679,0.000001246011,0.0001041776,0.0004018276,0.983974,0.00003920418,0.0005266282,0.00005540825],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929909,0.0003022046,0.00615237,0.00009030662,0.0000442817,0.0001367177,0.00001388104,0.000003812449,0.0002655301],"genre_scores_gemma":[0.9986535,0.000007728697,0.001086243,0.00004932593,0.00003365516,0.000002156275,0.0001581177,0.000004249043,0.000005042564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01408262,"threshold_uncertainty_score":0.1953093,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1978208518","doi":"10.1038/nsmb.1651","title":"Existence of a microRNA pathway in anucleate platelets","year":2009,"lang":"en","type":"article","venue":"Nature Structural & Molecular Biology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":484,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval; Centre hospitalier de l'Université Laval; Université de Montréal; Hôpital du Sacré-Cœur de Montréal; Centre hospitalier universitaire de Québec","funders":"Canadian Institutes of Health Research","keywords":"microRNA; Cell biology; Platelet; Signal transduction; Phosphorylation; Chemistry; Biology; Genetics; Gene; Immunology","retraction":null,"screen_n_in":null,"score":{"opus":0.003748726223065097,"gpt":0.2708692091270463,"spread":0.2671204829039812,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000901431,0.0002239419,0.0002517345,0.0001049097,0.00002836336,0.000007771191,0.0003021668,0.0006574671,0.00001651612],"category_scores_gemma":[0.00009647629,0.0002023782,0.000132031,0.000183675,0.0001195457,0.00000444165,0.00007178129,0.0002782787,0.000002158218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002389014,"about_ca_system_score_gemma":0.00006014376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009102602,"about_ca_topic_score_gemma":0.00000911264,"domain_scores_codex":[0.9987006,0.0001095874,0.0003108148,0.000469584,0.00009046392,0.0003189032],"domain_scores_gemma":[0.9992799,0.000005383731,0.0001548338,0.0003939539,0.0000969765,0.00006893693],"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":[0.0001484174,0.00001432847,0.0005955473,0.00001099387,0.00002218389,0.00002388151,0.00001758847,0.00003045411,0.9905961,0.003556806,0.00004605788,0.004937665],"study_design_scores_gemma":[0.0006700307,0.000292506,0.03588524,0.00001925363,0.000007243779,0.00006740663,0.00000731288,0.00003542112,0.9557832,0.005328685,0.001668669,0.0002350078],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950641,0.003684846,0.0002072145,0.0002780533,0.0001368623,0.0002281665,0.00004177944,0.0000126167,0.0003463125],"genre_scores_gemma":[0.9967038,0.00002279192,0.002171169,0.0007110837,0.00006831763,0.000003346164,0.0002817035,0.00001560683,0.0000221729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0352897,"threshold_uncertainty_score":0.8252745,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2341117915","doi":"10.1093/nar/gkw288","title":"miRNet - dissecting miRNA-target interactions and functional associations through network-based visual analysis","year":2016,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":467,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Biology; microRNA; Computational biology; Visualization; Personalization; Gene regulatory network; Network analysis; Bioinformatics; Computer science; Data mining; Genetics; Gene; Gene expression","retraction":null,"screen_n_in":null,"score":{"opus":0.03935835955173538,"gpt":0.3607559520121019,"spread":0.3213975924603665,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006105909,0.0001200673,0.0001386404,0.0001474186,0.0004098816,0.00006794662,0.0001099708,0.00013037,0.0005376746],"category_scores_gemma":[0.0006014945,0.00009861516,0.0001326593,0.0006075738,0.0001608587,0.00002008496,0.0001371269,0.0001507131,0.00003408114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001032075,"about_ca_system_score_gemma":0.0001213432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000495925,"about_ca_topic_score_gemma":0.0001179527,"domain_scores_codex":[0.9983095,0.0002832605,0.00021383,0.0004207547,0.000372497,0.0004001619],"domain_scores_gemma":[0.9988935,0.0001864037,0.00007714029,0.0002706552,0.0004578308,0.0001144808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001858661,0.0001773404,0.2390623,0.00001263898,0.0008321684,0.000002312745,0.0000439142,0.0008483841,0.733232,0.000289047,0.02380097,0.001513053],"study_design_scores_gemma":[0.001290664,0.0002562657,0.8710567,0.00004614405,0.0002144018,0.000004897319,0.000122953,0.004745753,0.06450949,0.001104863,0.0562227,0.0004252142],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767675,0.0002312436,0.02096235,0.0008769083,0.0001220614,0.0001781692,0.00006929958,0.00002439553,0.0007680148],"genre_scores_gemma":[0.9960472,0.00002506761,0.001390855,0.00007901731,0.0005325021,0.0000405367,0.0003551433,0.00002386713,0.001505794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6687225,"threshold_uncertainty_score":0.588716,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1975981804","doi":"10.1371/journal.pcbi.0010013","title":"microRNA Target Predictions across Seven Drosophila Species and Comparison to Mammalian Targets","year":2005,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":450,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Deutscher Akademischer Austauschdienst; Directorate for Biological Sciences; York University; Howard Hughes Medical Institute","keywords":"microRNA; Biology; Gene; Drosophila melanogaster; Computational biology; Regulation of gene expression; Genetics; Function (biology)","retraction":null,"screen_n_in":null,"score":{"opus":0.01620323458501124,"gpt":0.2785661226787319,"spread":0.2623628880937207,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000856979,0.0001655674,0.0001729575,0.00005372551,0.000170423,0.00002814286,0.0001367627,0.0001452441,0.00005910282],"category_scores_gemma":[0.00005774935,0.0001733179,0.00005392306,0.00008455287,0.0001384825,0.000006902881,0.0001624386,0.00007392224,0.00006106611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003360877,"about_ca_system_score_gemma":0.00004679491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003299153,"about_ca_topic_score_gemma":0.00001997219,"domain_scores_codex":[0.9988815,0.00006774169,0.0002760018,0.0004146174,0.00008914455,0.0002710644],"domain_scores_gemma":[0.9994485,0.00002831542,0.00008638185,0.0001569026,0.0001329077,0.0001469529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001473053,0.0002770185,0.03415404,0.000024422,0.0001734743,0.000001417247,0.0004702415,0.0559775,0.8955325,0.001069747,0.01124495,0.0009273134],"study_design_scores_gemma":[0.001855014,0.0007523276,0.394239,0.00003224116,0.00006113237,0.00008079887,0.0002175921,0.02726853,0.179766,0.003467673,0.391306,0.0009536636],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771762,0.0006946474,0.01832052,0.002632552,0.0001112114,0.000287556,0.0004794771,0.00003538227,0.0002624599],"genre_scores_gemma":[0.9764064,0.000009341165,0.02042508,0.000626782,0.0005718438,0.00003052161,0.001640792,0.00001900303,0.0002702552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7157666,"threshold_uncertainty_score":0.7067699,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2145937040","doi":"10.1242/jcs.010728","title":"The muscle-specific microRNAs <i>miR-1</i> and <i>miR-133</i> produce opposing effects on apoptosis by targeting HSP60, HSP70 and caspase-9 in cardiomyocytes","year":2007,"lang":"en","type":"article","venue":"Journal of Cell Science","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":442,"is_retracted":true,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"","keywords":"Biology; HSP60; microRNA; Apoptosis; Psychological repression; Hsp70; Cell biology; Caspase 3; Molecular biology; Caspase 2; Regulation of gene expression; Heat shock protein; Gene expression; Gene; Genetics; Programmed cell death","retraction":{"nature":"Retraction","openalex_flagged":true},"screen_n_in":null,"score":{"opus":0.004536072367603231,"gpt":0.2196530440167432,"spread":0.2151169716491399,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002289397,0.0001436757,0.0001524939,0.00009202502,0.0002859247,0.0001424373,0.0002494905,0.00006478521,6.107268e-7],"category_scores_gemma":[0.0001812777,0.0001064605,0.0000493572,0.0002606269,0.0003285597,0.00002741834,0.0001001133,0.0001515192,5.782668e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005642731,"about_ca_system_score_gemma":0.00008993525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000384101,"about_ca_topic_score_gemma":0.000003407944,"domain_scores_codex":[0.9985993,0.00007262094,0.0003403657,0.0003206141,0.0003196928,0.0003474084],"domain_scores_gemma":[0.9991031,0.0001081059,0.0002852491,0.0001930273,0.0001412426,0.0001692466],"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":[0.00007268179,0.00002811327,0.0007520089,0.00001934408,0.000004779185,0.000006435846,0.00007963646,0.00001730307,0.992557,0.000005448547,0.001965626,0.004491609],"study_design_scores_gemma":[0.0004180612,0.0001545421,0.005932208,0.00005433547,0.000009996176,0.00003845707,0.00009986153,0.00001369219,0.9712138,0.00001521541,0.02192366,0.000126216],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906875,0.00818086,0.0002380028,0.0002352968,0.0002489856,0.0001662786,0.000001773571,0.000002664609,0.0002385598],"genre_scores_gemma":[0.9981055,0.0008075887,0.0007305983,0.0001173365,0.0001915359,0.000001427451,0.000001636789,0.00001235559,0.00003198899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02134326,"threshold_uncertainty_score":0.4341335,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2078526803","doi":"10.1182/blood-2013-03-492801","title":"Activated platelets can deliver mRNA regulatory Ago2•microRNA complexes to endothelial cells via microparticles","year":2013,"lang":"en","type":"article","venue":"Blood","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":434,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval; Centre hospitalier de l'Université Laval; Centre hospitalier universitaire de Québec","funders":"Canadian Institutes of Health Research","keywords":"microRNA; Cell biology; Platelet; Endogeny; Gene silencing; Gene expression; Biology; Regulation of gene expression; Chemistry; Molecular biology; Gene; Immunology; Biochemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.006768637729867742,"gpt":0.2056415120237737,"spread":0.1988728742939059,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006162428,0.0002218413,0.0001659628,0.00005708038,0.00009778488,0.00005041303,0.0002339192,0.0001392071,0.0001704038],"category_scores_gemma":[0.00001807947,0.0002238751,0.00009421528,0.00009292018,0.00007626176,0.000007829908,0.000139798,0.0000680897,0.0002457674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002302217,"about_ca_system_score_gemma":0.00005045495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001980829,"about_ca_topic_score_gemma":0.00004885529,"domain_scores_codex":[0.9987456,0.00006408468,0.0002499368,0.000423137,0.0001390235,0.0003782648],"domain_scores_gemma":[0.9990783,0.000009659407,0.00009300473,0.0004575154,0.0001308739,0.0002306409],"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":[0.00004321643,0.0001968236,0.0006847229,0.00001454445,0.0001046124,0.00000541121,0.00005710054,0.00004880581,0.9939841,0.000005021597,0.003830786,0.00102483],"study_design_scores_gemma":[0.001054383,0.00009847747,0.01951904,0.00001449086,0.00004380941,0.00002601575,0.00001732945,0.00001481844,0.9743089,0.00003815839,0.004581717,0.000282825],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987132,0.0002093993,0.0001145848,0.0001522091,0.00009870291,0.0004864346,0.0000864188,0.00003941625,0.00009965283],"genre_scores_gemma":[0.9976317,0.00001320874,0.001287541,0.0004048571,0.0002410265,0.00004219709,0.0001050876,0.00004687804,0.0002275043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01967519,"threshold_uncertainty_score":0.912936,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2965213944","doi":"10.1016/j.pneurobio.2019.101664","title":"microRNA dysregulation in neurodegenerative diseases: A systematic review","year":2019,"lang":"en","type":"review","venue":"Progress in Neurobiology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":429,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University Health Centre; Memorial University of Newfoundland; McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Multiple Sclerosis Society of Canada","keywords":"Neurodegeneration; microRNA; Amyotrophic lateral sclerosis; Neuroscience; Disease; Biology; Dementia; Bioinformatics; Medicine; Genetics; Gene; Pathology","retraction":null,"screen_n_in":null,"score":{"opus":0.02275203542275077,"gpt":0.3244632681547114,"spread":0.3017112327319607,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000323723,0.0006326011,0.002538158,0.0003109201,0.00002590325,0.00002611514,0.0005899373,0.0005220974,0.00001394263],"category_scores_gemma":[0.0002819272,0.0005372403,0.0004615755,0.0004628278,0.0001473273,0.000007659066,0.0003005422,0.0003223878,0.00006323714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001016956,"about_ca_system_score_gemma":0.0002935407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001250233,"about_ca_topic_score_gemma":0.00001137229,"domain_scores_codex":[0.9950134,0.001847354,0.001403806,0.001150185,0.0001160981,0.0004691308],"domain_scores_gemma":[0.9978409,0.00008214415,0.0008846307,0.001039949,0.00007344795,0.00007894807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00002012341,0.0001652223,0.0002896671,0.982823,0.00009794675,0.00002867064,0.000006740755,0.000008331393,0.00007295641,0.0000358761,0.0002920286,0.01615945],"study_design_scores_gemma":[0.001069105,0.0004236004,0.0004517346,0.8192504,0.0031231,0.0002691626,0.000004143259,0.00005257496,0.0000714825,0.00002798291,0.173493,0.001763664],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003076553,0.9933634,0.000007661144,0.00003436198,0.0003389924,0.005783403,0.0001246004,0.00001977091,0.00002012479],"genre_scores_gemma":[0.0004529346,0.994993,0.00004206609,0.0002142922,0.0001112744,0.0016107,0.002396772,0.00009777668,0.0000812017],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.173201,"threshold_uncertainty_score":0.9997079,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2164840475","doi":"10.1002/emmm.201202318","title":"MicroRNA‐146 represses endothelial activation by inhibiting pro‐inflammatory pathways","year":2013,"lang":"en","type":"article","venue":"EMBO Molecular Medicine","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":428,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Hospital for Sick Children; Heart and Stroke Foundation; University of Toronto; University Health Network","funders":"National Institute of General Medical Sciences; Canadian Institutes of Health Research; Tulane University; Hospital for Sick Children; National Institute of Allergy and Infectious Diseases; Johns Hopkins University; National Heart, Lung, and Blood Institute; Heart and Stroke Foundation of Canada","keywords":"Cell biology; Inflammation; Endothelial activation; Enos; Signal transduction; Endothelium; Biology; Transcription factor; Downregulation and upregulation; Chemistry; KLF2; NF-κB; Nitric oxide synthase; Nitric oxide; Immunology; Gene; Biochemistry; Genetics; Endocrinology","retraction":null,"screen_n_in":null,"score":{"opus":0.007988387128590416,"gpt":0.2265282112667931,"spread":0.2185398241382027,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001966724,0.0002457767,0.0001976253,0.00006864731,0.00008773142,0.00002588944,0.0001859926,0.00018159,0.000219818],"category_scores_gemma":[0.0003852564,0.00022538,0.00007831252,0.0001052494,0.0001447948,0.00001477338,0.00009855127,0.0001222325,0.00004758188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000347856,"about_ca_system_score_gemma":0.00007453058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000575362,"about_ca_topic_score_gemma":0.000001376719,"domain_scores_codex":[0.9984183,0.0001059469,0.0003753538,0.000499089,0.000288638,0.0003126309],"domain_scores_gemma":[0.998972,0.00001637181,0.0002160555,0.0004454788,0.0001953973,0.0001546764],"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":[0.00002488122,0.00003657672,0.0001510462,0.00004270857,0.00004672482,0.00000621243,0.00007318721,0.0000174258,0.9799141,0.00008434631,0.01730172,0.002301079],"study_design_scores_gemma":[0.0009036341,0.0001215861,0.001062303,0.0001126105,0.00002661238,0.00001642214,0.00008313792,0.00005440412,0.9839603,0.0002315436,0.01319244,0.0002350605],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885982,0.001348402,0.006118181,0.0008427622,0.0001248532,0.0006545811,0.00001647756,0.00005138608,0.002245216],"genre_scores_gemma":[0.9970667,0.00004380275,0.0004517775,0.000809527,0.0005020249,0.0001092174,0.0006327635,0.00005764399,0.0003265829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008468519,"threshold_uncertainty_score":0.9190729,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2049702012","doi":"10.1038/ncomms4292","title":"HDL-transferred microRNA-223 regulates ICAM-1 expression in endothelial cells","year":2014,"lang":"en","type":"article","venue":"Nature Communications","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":418,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Health and Medical Research Council; Canadian Institutes of Health Research; National Institutes of Health; Massachusetts Institute of Technology","keywords":"Cell biology; microRNA; ICAM-1; Intercellular Adhesion Molecule-1; Cell adhesion molecule; Transfection; Endothelial stem cell; Chemistry; Intracellular; Extracellular; Biology; In vitro; Gene; Biochemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.008366455283037843,"gpt":0.26163995175367,"spread":0.2532734964706321,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000208178,0.0001442441,0.0001250005,0.00007402043,0.000122091,0.00002462652,0.0008043995,0.0004134182,0.00001664124],"category_scores_gemma":[0.0001070915,0.000144824,0.00008734505,0.0001359727,0.0001134231,0.000006862465,0.0002324217,0.0003455729,0.0000184041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002483276,"about_ca_system_score_gemma":0.00004142428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001205095,"about_ca_topic_score_gemma":0.0004086947,"domain_scores_codex":[0.9989687,0.0002361705,0.0002364357,0.0002669058,0.0001042203,0.0001875526],"domain_scores_gemma":[0.9980281,0.00005438416,0.00007135277,0.001696209,0.00008217119,0.00006778137],"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":[0.00003250114,0.0001268144,0.0006827787,0.000007861195,0.000009533678,1.593105e-7,0.00003693047,0.00003638136,0.9946582,0.000322405,0.003217141,0.0008693328],"study_design_scores_gemma":[0.0006415003,0.00002579394,0.009607906,0.00003595748,0.00001102566,0.000002867077,0.00001649353,0.0002275296,0.8461562,0.0002009593,0.1429075,0.0001662085],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850656,0.00719052,0.001496449,0.001469184,0.0002715188,0.0005385641,0.000121579,0.00005719331,0.003789371],"genre_scores_gemma":[0.9917293,0.0003888239,0.006802058,0.0002229934,0.0001111431,0.00003872295,0.0005103754,0.00002676267,0.000169791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1485019,"threshold_uncertainty_score":0.5905752,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2021597202","doi":"10.1038/nm.3497","title":"Tissue mechanics modulate microRNA-dependent PTEN expression to regulate malignant progression","year":2014,"lang":"en","type":"article","venue":"Nature Medicine","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":417,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"National Institute of Environmental Health Sciences; National Cancer Institute","keywords":"Tensin; PTEN; microRNA; Extracellular matrix; Cancer research; Malignancy; Tumor progression; Biology; Breast cancer; Suppressor; Cancer; Pathology; Internal medicine; Medicine; Cell biology; Signal transduction; Gene; PI3K/AKT/mTOR pathway","retraction":null,"screen_n_in":null,"score":{"opus":0.004969993023110427,"gpt":0.2741342675862292,"spread":0.2691642745631188,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004851082,0.000260482,0.0002485886,0.0001027487,0.00009451961,0.00001345845,0.0003018578,0.0005227183,0.00008369375],"category_scores_gemma":[0.0002680771,0.000190513,0.00005355948,0.0001409048,0.00003794898,0.0000051677,0.0002072686,0.0002380446,0.00002898329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003511474,"about_ca_system_score_gemma":0.00002867483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005014187,"about_ca_topic_score_gemma":0.000007849171,"domain_scores_codex":[0.9982228,0.0001117795,0.0003113606,0.0006063849,0.0004203051,0.0003273232],"domain_scores_gemma":[0.9986904,0.00001107851,0.0001537192,0.000705159,0.0001762494,0.0002633572],"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":[0.0001581786,0.00003490734,0.00003383357,0.0000407723,0.00001692952,0.000006497883,0.00004324501,0.0001046408,0.9723585,0.0001665282,0.01066653,0.01636944],"study_design_scores_gemma":[0.0007979392,0.000350189,0.0006993575,0.0003145661,0.00003229989,0.00002808731,0.00001175793,0.0003246097,0.8751463,0.0003946713,0.121681,0.0002192879],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9381137,0.005443974,0.04858084,0.004377786,0.001393013,0.001133703,0.00002190672,0.00009745121,0.0008375925],"genre_scores_gemma":[0.9938124,0.00005653354,0.002583552,0.001033741,0.001095687,0.00003013575,0.0003147389,0.0000510648,0.001022095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1110144,"threshold_uncertainty_score":0.7768896,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2078576279","doi":"10.1126/scisignal.2000594","title":"Identification of the <i>miR-106b</i> ~ <i>25</i> MicroRNA Cluster as a Proto-Oncogenic <i>PTEN</i> -Targeting Intron That Cooperates with Its Host Gene <i>MCM7</i> in Transformation","year":2010,"lang":"en","type":"article","venue":"Science Signaling","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":410,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Cancer Institute; Canadian Institutes of Health Research","keywords":"PTEN; microRNA; Biology; Suppressor; Gene; Cancer research; Tumor suppressor gene; Cancer; Intron; Transformation (genetics); Prostate cancer; Three prime untranslated region; Identification (biology); Genetics; Carcinogenesis; Untranslated region; RNA; Signal transduction; PI3K/AKT/mTOR pathway","retraction":null,"screen_n_in":null,"score":{"opus":0.00534562180831021,"gpt":0.2290658572393023,"spread":0.2237202354309921,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001303697,0.000182441,0.0001417607,0.0000960432,0.0002612376,0.000108521,0.0005465195,0.0001128624,0.00001043158],"category_scores_gemma":[0.0001393247,0.0001352986,0.00007066853,0.0006452114,0.0003940566,0.00008202213,0.00009140597,0.0001899133,0.00000726183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003397799,"about_ca_system_score_gemma":0.0004095767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001582597,"about_ca_topic_score_gemma":0.00004520435,"domain_scores_codex":[0.9982453,0.00007728491,0.0004398378,0.0004582502,0.0004253312,0.000354002],"domain_scores_gemma":[0.9988698,0.00001460639,0.0003199019,0.0003842521,0.0003320964,0.00007935009],"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":[0.00007623798,0.00004209476,0.001773918,0.00003838935,0.000006950158,3.178293e-7,0.0004010436,0.0009129771,0.996524,0.00003128879,0.00001953283,0.0001732584],"study_design_scores_gemma":[0.0005816612,0.00004979782,0.001024363,0.0000530886,0.0000186196,0.00002158654,0.0001551928,0.001279239,0.9962485,0.0000251988,0.0003556953,0.0001870994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970297,0.0002002289,0.000915825,0.0002887201,0.0001798114,0.001213833,0.00001690855,0.00001236323,0.0001426634],"genre_scores_gemma":[0.9991124,0.00001531029,0.0003665737,0.0002433516,0.00008587887,0.00009098934,0.00003507396,0.00002040215,0.00003000607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002082768,"threshold_uncertainty_score":0.5517319,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2077582952","doi":"10.3389/fimmu.2014.00578","title":"MicroRNA-146a: A Dominant, Negative Regulator of the Innate Immune Response","year":2014,"lang":"en","type":"review","venue":"Frontiers in Immunology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":407,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba; Public Health Agency of Canada","funders":"","keywords":"microRNA; Innate immune system; Immune system; Biology; Acquired immune system; Pattern recognition receptor; Immunology; Signal transduction; Inflammation; Immunity; Receptor; Regulator; Toll-like receptor; Cell biology; Gene; Genetics","retraction":null,"screen_n_in":null,"score":{"opus":0.008192691592722491,"gpt":0.2570635176356925,"spread":0.24887082604297,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007752809,0.0004835861,0.001525463,0.0003005959,0.00007682425,0.00001123004,0.001050476,0.0009943948,0.000010633],"category_scores_gemma":[0.0007763988,0.0003752186,0.0007041733,0.0004108909,0.0007319775,0.000003463889,0.000593334,0.0003989861,0.000008706589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001544725,"about_ca_system_score_gemma":0.0005980592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001916881,"about_ca_topic_score_gemma":0.000006193933,"domain_scores_codex":[0.9959907,0.001824535,0.001019235,0.0006220313,0.0001253322,0.0004182004],"domain_scores_gemma":[0.9971582,0.00007093475,0.001079098,0.001541985,0.0001126304,0.00003718001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00634943,0.0004500083,0.0002574002,0.008426118,0.004250689,0.00002105113,0.00039229,0.00002521692,0.390056,0.0002073228,0.03511805,0.5544464],"study_design_scores_gemma":[0.0008573395,0.000155212,0.001325853,0.002463821,0.0002661667,0.00005551834,0.00003701166,0.000003150725,0.01708396,0.0001204175,0.9772301,0.0004014938],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01229264,0.9843162,0.000446588,0.00004597018,0.001767425,0.0009949722,0.000083677,0.000006697559,0.00004580324],"genre_scores_gemma":[0.001939439,0.9949945,0.00125188,0.00002811612,0.0001246409,0.000104372,0.0001662449,0.00009776532,0.001293073],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.942112,"threshold_uncertainty_score":0.99987,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2094720383","doi":"10.1038/nature12108","title":"The shaping and functional consequences of the microRNA landscape in breast cancer","year":2013,"lang":"en","type":"article","venue":"Nature","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":403,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"National Institute for Health and Care Research; Cancer Research UK","keywords":"microRNA; Biology; Breast cancer; Context (archaeology); Wnt signaling pathway; Computational biology; Gene silencing; Regulation of gene expression; Gene expression profiling; Genetics; Bioinformatics; Gene expression; Cancer; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.00613972569248213,"gpt":0.2298574538377314,"spread":0.2237177281452493,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004535945,0.00003960099,0.00003120265,0.000007067655,0.00004460415,0.00001127433,0.00006260772,0.0001873255,0.00003133751],"category_scores_gemma":[0.00001602009,0.00002144981,0.00001963192,0.00004196076,0.00009483744,0.000002052143,0.00003609966,0.0001529901,5.402796e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004681569,"about_ca_system_score_gemma":0.00004550556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003398948,"about_ca_topic_score_gemma":0.00007219926,"domain_scores_codex":[0.999726,0.00002109033,0.00005844454,0.00008230032,0.00005204061,0.00006013162],"domain_scores_gemma":[0.9998003,0.000008656376,0.00003794091,0.00008882405,0.00005234661,0.00001194182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001501551,0.000004090168,0.0604105,0.000006731319,0.00001147494,5.821718e-8,0.00000833456,0.00001705673,0.9329126,0.00007967024,0.005756441,0.0007780511],"study_design_scores_gemma":[0.00015055,0.000003240317,0.9179946,0.00002028088,0.000004366863,0.00001220329,0.00003412579,0.00003881861,0.07816885,0.0001897959,0.003344517,0.00003872009],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985935,0.009920118,0.000001562496,0.003840869,0.00009069916,0.00008815766,0.00001859745,0.000001132732,0.0001038785],"genre_scores_gemma":[0.999337,0.0001688519,0.0000110943,0.0003125544,0.00006565781,0.00001071313,0.000006354874,0.000002896247,0.00008493054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8575841,"threshold_uncertainty_score":0.1444826,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2113390076","doi":"10.1038/nmeth1130","title":"Using expression profiling data to identify human microRNA targets","year":2007,"lang":"en","type":"article","venue":"Nature Methods","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":399,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of New Brunswick; Ontario Institute for Cancer Research; University of Toronto","funders":"National Cancer Institute","keywords":"microRNA; Computational biology; Biology; Gene expression profiling; Gene expression; Bioinformatics; Gene; Genetics","retraction":null,"screen_n_in":null,"score":{"opus":0.08152713650975808,"gpt":0.4902602839792751,"spread":0.408733147469517,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001906763,0.0001556703,0.0001313423,0.00008730923,0.0001448289,0.00003207389,0.0004876977,0.0004463052,0.00002690529],"category_scores_gemma":[0.0004508111,0.0001506022,0.00005521209,0.0001546428,0.00002855807,0.000008981943,0.0005602455,0.0002524252,0.000003875316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003071198,"about_ca_system_score_gemma":0.00003985437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004193142,"about_ca_topic_score_gemma":0.000005173801,"domain_scores_codex":[0.9985671,0.0001951321,0.0002403306,0.0005680968,0.0001518888,0.0002774442],"domain_scores_gemma":[0.9986588,0.00002289985,0.0001034802,0.0009751554,0.000107296,0.0001323136],"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":[0.00004370599,0.00002390868,0.0004298006,0.00002244245,0.00001848485,0.000003742035,0.00001444618,0.00002415328,0.993955,0.00002080934,0.001518079,0.003925382],"study_design_scores_gemma":[0.0001667808,0.00001803536,0.005332049,0.00002931194,0.00001978987,0.000009556343,0.00001738268,0.00006542524,0.9601239,0.00009048345,0.03394828,0.0001790249],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5841026,0.00315352,0.4117616,0.00002510976,0.000393436,0.0002573746,0.00002967627,0.0000195442,0.0002571098],"genre_scores_gemma":[0.3685861,0.000003140024,0.6301589,0.0001983301,0.0004865482,0.000001915751,0.0004551384,0.00002659001,0.00008332812],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2183973,"threshold_uncertainty_score":0.6141379,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2153749888","doi":"10.1093/nar/gkr148","title":"Analysis of microRNA turnover in mammalian cells following Dicer1 ablation","year":2011,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":397,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Occupational Cancer Research Centre","funders":"National Health and Medical Research Council; Medical Research Council; State Government of Victoria","keywords":"microRNA; Biology; Cell biology; Messenger RNA; Gene silencing; Gene; RNA interference; Embryonic stem cell; Gene expression; Regulation of gene expression; RNA; Computational biology; Genetics","retraction":null,"screen_n_in":null,"score":{"opus":0.03478493160461189,"gpt":0.3133562197103738,"spread":0.2785712881057619,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007684989,0.00009587717,0.0001703056,0.0004940435,0.00004698047,0.0000137939,0.0002560219,0.0001652171,0.0002569425],"category_scores_gemma":[0.00006447105,0.00009890339,0.000181953,0.0009870947,0.00009394862,0.000008928506,0.0001091934,0.0001289555,0.00002221512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005061258,"about_ca_system_score_gemma":0.00006148085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002537952,"about_ca_topic_score_gemma":0.0002024922,"domain_scores_codex":[0.9985912,0.0001811693,0.0002698932,0.0003235228,0.0003305762,0.0003035844],"domain_scores_gemma":[0.9992654,0.00001713032,0.00006462876,0.0004375389,0.0001366952,0.00007856677],"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":[0.00009709682,0.00008653607,0.08120207,0.00001648102,0.0002149275,0.000005642672,0.0003743533,0.00005402696,0.9169633,0.00002454279,0.0002148566,0.0007461708],"study_design_scores_gemma":[0.0003527861,0.0000769208,0.4407984,0.00001391739,0.00008060376,4.007609e-7,0.000114299,0.0004495714,0.5564731,0.00005187742,0.001477572,0.0001105227],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965882,0.0002402824,0.0001927401,0.00001383582,0.00004309987,0.0001783513,0.0000153595,0.000004882961,0.002723231],"genre_scores_gemma":[0.9989263,0.00002381107,0.0005920629,0.00001267134,0.00003758925,0.00001000129,0.00008819696,0.00001927311,0.0002900721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3604901,"threshold_uncertainty_score":0.4033163,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2105260398","doi":"10.1158/1078-0432.ccr-09-2166","title":"Comprehensive MicroRNA Profiling for Head and Neck Squamous Cell Carcinomas","year":2010,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":396,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"microRNA; Head and neck squamous-cell carcinoma; Cancer research; Downregulation and upregulation; Cell cycle; Clonogenic assay; Gene knockdown; Biology; Cell growth; Flow cytometry; Cell; Cell culture; Cancer; Head and neck cancer; Molecular biology; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.1134332804949355,"gpt":0.4556207139829654,"spread":0.3421874334880299,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000631208,0.0001109034,0.0001640061,0.00004068914,0.0001543539,0.0000385021,0.0001989135,0.0002541873,0.00002794255],"category_scores_gemma":[0.0003753328,0.0001055442,0.0001024768,0.00007862372,0.0003747465,0.000003455846,0.000203635,0.0004105441,0.000008009154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001534036,"about_ca_system_score_gemma":0.0003061084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006768195,"about_ca_topic_score_gemma":0.0001305972,"domain_scores_codex":[0.9985092,0.0001326211,0.0002936583,0.0005231559,0.0001670726,0.0003743148],"domain_scores_gemma":[0.9986154,0.0002166605,0.00005914626,0.0003843179,0.0005063307,0.0002181298],"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":[0.0004668146,0.00008858624,0.03823442,0.0001400071,0.00001272471,0.00000172275,0.00001144577,0.000004528774,0.9553799,0.00003771023,0.00333321,0.002288899],"study_design_scores_gemma":[0.003117206,0.0007732635,0.1109689,0.00001782609,0.00002138487,0.000005226578,0.00005043767,0.0002670449,0.7069325,0.0002832304,0.1772982,0.0002647488],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955551,0.002694399,0.0000591529,0.0003689215,0.000282445,0.0007453975,0.00006929877,0.000008732382,0.0002165377],"genre_scores_gemma":[0.9963206,0.0001645471,0.001720099,0.0001477529,0.0009566038,0.0001536462,0.00008577651,0.00003047817,0.0004204763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2484474,"threshold_uncertainty_score":0.4303968,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2142190754","doi":"10.1161/circresaha.112.300658","title":"mir-17–92 Cluster Is Required for and Sufficient to Induce Cardiomyocyte Proliferation in Postnatal and Adult Hearts","year":2013,"lang":"en","type":"article","venue":"Circulation Research","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":393,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of Toronto; American Heart Association; March of Dimes Foundation; National Heart, Lung, and Blood Institute; Foundation for the National Institutes of Health","keywords":"Embryonic stem cell; Tensin; Biology; Cell growth; Cell biology; Regeneration (biology); Embryonic heart; microRNA; Cell cycle; Heart failure; Oncogene; Genetically modified mouse; Heart development; Stem cell; Transgene; PTEN; Internal medicine; Cancer research; Cell; Medicine; Signal transduction; PI3K/AKT/mTOR pathway; Genetics; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.03423597002470813,"gpt":0.3340758790130366,"spread":0.2998399089883285,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004262209,0.00008323877,0.00008703199,0.0001579567,0.000103439,0.0001014139,0.00005093306,0.0001215181,0.00001216245],"category_scores_gemma":[0.0002251102,0.00008727142,0.00002403533,0.0001502385,0.00005596663,0.00001889709,0.00009014455,0.00006237036,0.000008180992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004180009,"about_ca_system_score_gemma":0.00006062673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008768786,"about_ca_topic_score_gemma":0.00004387515,"domain_scores_codex":[0.9989018,0.0001032948,0.0001741896,0.0003714265,0.0002111197,0.0002381955],"domain_scores_gemma":[0.9991544,0.00002373524,0.00002517823,0.0002051941,0.0004724137,0.0001190851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001419882,0.00004357144,0.02364209,0.00008099142,0.00001695468,6.7622e-7,0.0005202891,0.0004933166,0.9670714,0.00008790207,0.006338481,0.001562375],"study_design_scores_gemma":[0.001514701,0.0002366027,0.8985352,0.00004569354,0.000007031549,0.00002110006,0.0001774929,0.01809124,0.07829562,0.0002636847,0.002557984,0.000253648],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950895,0.0002200652,0.00118834,0.001630927,0.00002282315,0.001749732,0.00001659134,0.000005348238,0.00007669362],"genre_scores_gemma":[0.998625,0.000009847048,0.0004186243,0.0002613781,0.00009611776,0.0002835386,0.0001633378,0.00001454514,0.0001275625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8887758,"threshold_uncertainty_score":0.3558825,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2125818518","doi":"10.1261/rna.768207","title":"Determinants of targeting by endogenous and exogenous microRNAs and siRNAs","year":2007,"lang":"en","type":"article","venue":"RNA","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":387,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; Knut och Alice Wallenbergs Stiftelse","keywords":"Biology; microRNA; Small interfering RNA; Psychological repression; Endogeny; Messenger RNA; RNA; Genetics; Computational biology; Cell biology; Gene expression; Gene; Biochemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.00935275417377023,"gpt":0.2345180007239736,"spread":0.2251652465502034,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001670495,0.00008559421,0.00009475044,0.0000216119,0.00004705871,0.000007494899,0.00005017358,0.00007914751,0.000004360814],"category_scores_gemma":[0.00003557161,0.00008663809,0.00002320354,0.00002706571,0.00006869112,0.000002211342,0.00005901066,0.00002594884,7.617741e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005992354,"about_ca_system_score_gemma":0.00001576671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002514287,"about_ca_topic_score_gemma":0.00001204719,"domain_scores_codex":[0.999428,0.00001496965,0.0001637559,0.0001766443,0.00005443931,0.0001621299],"domain_scores_gemma":[0.999684,0.000009997649,0.00008641146,0.0001151572,0.0000345568,0.00006984565],"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":[0.00003554019,0.00002860377,0.01108478,0.000034922,0.00001182057,0.000006092901,0.00005314311,4.511372e-7,0.9802347,0.000002360171,0.0001812012,0.008326414],"study_design_scores_gemma":[0.0002194772,0.00009229822,0.009059674,0.000009990609,0.00001372051,0.00005994664,0.00003536031,0.000008575568,0.9874913,0.00001777411,0.002895793,0.00009614083],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900857,0.009246577,0.0002668387,0.000004929534,0.00002900681,0.00009679659,0.00002006808,0.000004306869,0.0002457769],"genre_scores_gemma":[0.9988109,0.000250658,0.0007423858,0.00003339521,0.00005644083,0.000001186217,0.00002747555,0.00001353013,0.00006395995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008995919,"threshold_uncertainty_score":0.3532999,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1996409634","doi":"10.1007/s00401-011-0899-7","title":"Rapid, reliable, and reproducible molecular sub-grouping of clinical medulloblastoma samples","year":2011,"lang":"en","type":"article","venue":"Acta Neuropathologica","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":387,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Hospital for Sick Children; University of British Columbia; BC Cancer Agency; University of Toronto; SickKids Foundation","funders":"National Institute of Neurological Disorders and Stroke; Hospital for Sick Children; Garron Family Cancer Centre; Genome British Columbia; Canadian Institutes of Health Research; Genome Canada; National Cancer Institute; National Institutes of Health; Children's Hospital Foundation; Pediatric Brain Tumor Foundation","keywords":"Medulloblastoma; Concordance; Subgroup analysis; Computational biology; Gene expression profiling; Clinical trial; DNA microarray; Oncology; Medicine; Biology; Bioinformatics; Internal medicine; Pathology; Gene expression; Gene; Genetics; Meta-analysis","retraction":null,"screen_n_in":null,"score":{"opus":0.05712082493575657,"gpt":0.2843066546347465,"spread":0.22718582969899,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006217314,0.0001554737,0.000243407,0.00004215019,0.00004593125,0.000008366258,0.0001995294,0.0001601108,0.00002718885],"category_scores_gemma":[0.0008792425,0.0001392825,0.0001109251,0.00009445017,0.0002292256,0.000006148817,0.0002507048,0.000103276,0.000003736498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002335211,"about_ca_system_score_gemma":0.00003311088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004641531,"about_ca_topic_score_gemma":7.914017e-7,"domain_scores_codex":[0.9983446,0.0001946138,0.0004545189,0.0006989577,0.0001048983,0.0002023941],"domain_scores_gemma":[0.9987815,0.00002216868,0.0002482016,0.0007595342,0.00009313516,0.00009544681],"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":[0.0001712894,0.0001090088,0.02511543,0.00002345697,0.00001708238,0.00004425168,0.00002131498,0.000001769844,0.9716864,0.00008149649,0.0003835716,0.00234499],"study_design_scores_gemma":[0.0003069433,0.0005899039,0.34392,0.00001462094,0.00003342309,0.0001047297,0.00001403119,0.00001160638,0.6517304,0.0001770612,0.002940548,0.0001568041],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971595,0.001090684,0.0002285419,0.00004994334,0.0001220237,0.0001836526,0.000009417749,0.0000256944,0.001130575],"genre_scores_gemma":[0.9952339,0.0008303443,0.003549741,0.0002258148,0.00007619426,0.000009636943,0.00002768451,0.00002438119,0.00002228717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.319956,"threshold_uncertainty_score":0.5679775,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1971624340","doi":"10.4161/rna.5.3.6558","title":"The emerging role of miR-200 family of MicroRNAs in epithelial-mesenchymal transition and cancer metastasis","year":2008,"lang":"en","type":"review","venue":"RNA Biology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":380,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Cancer Institute; Natural Sciences and Engineering Research Council of Canada; American Cancer Society","keywords":"microRNA; Biology; Epithelial–mesenchymal transition; Metastasis; Carcinogenesis; Suppressor; Phenotype; Cancer research; Cancer; Regulation of gene expression; Cell biology; Genetics; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.01688474243414672,"gpt":0.3024951814398132,"spread":0.2856104390056665,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001744524,0.0002410832,0.0007250083,0.000109014,0.00004546111,0.000003166098,0.000191323,0.0003651751,0.000006789372],"category_scores_gemma":[0.00003355071,0.0001751553,0.0002647477,0.0001455755,0.0002691101,0.000002232881,0.00006589767,0.0001118022,8.424736e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002437819,"about_ca_system_score_gemma":0.00022092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002078037,"about_ca_topic_score_gemma":0.00007447789,"domain_scores_codex":[0.9984868,0.0003016895,0.0005952003,0.0003370834,0.00005862538,0.0002205557],"domain_scores_gemma":[0.9991484,0.00004589598,0.0004124054,0.000285573,0.00006997689,0.00003771751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003654083,0.00002949729,0.00003096561,0.0007820628,0.0002292838,0.0000010043,0.00004422594,0.000005251711,0.4060156,0.00003687384,0.00006723723,0.5927214],"study_design_scores_gemma":[0.0003166907,0.0001022686,0.000201156,0.0007745756,0.0002420661,0.00002992359,0.00004730824,0.000008994484,0.02306018,0.00006143771,0.9749107,0.0002446433],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.05750593,0.9415563,0.0000307686,0.00002001113,0.00008627657,0.0003386646,0.0004115438,0.000002553198,0.00004790811],"genre_scores_gemma":[0.01193937,0.9874579,0.0001096224,0.00001186185,0.00009285678,0.00005381524,0.0002947878,0.0000243035,0.00001553736],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9748435,"threshold_uncertainty_score":0.7142627,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2140154586","doi":"10.1152/japplphysiol.00901.2010","title":"High responders to resistance exercise training demonstrate differential regulation of skeletal muscle microRNA expression","year":2010,"lang":"en","type":"article","venue":"Journal of Applied Physiology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":380,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University Medical Centre","funders":"","keywords":"Skeletal muscle; microRNA; Resistance training; Gene expression; Biology; Medicine; Internal medicine; Endocrinology; Gene; Genetics","retraction":null,"screen_n_in":null,"score":{"opus":0.006903522754432049,"gpt":0.2267901543591956,"spread":0.2198866316047635,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001678498,0.0001459641,0.000286072,0.0001049605,0.00005376636,0.00000840045,0.0002182727,0.0001993289,0.00005206628],"category_scores_gemma":[0.00003547709,0.0001326875,0.0001290869,0.00009205968,0.0001112951,0.000007325315,0.00006047748,0.0001762488,0.000002185726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001252128,"about_ca_system_score_gemma":0.0001102884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.643982e-7,"about_ca_topic_score_gemma":0.0000052676,"domain_scores_codex":[0.9989315,0.00004203072,0.0004671197,0.0002248933,0.0001457817,0.0001886809],"domain_scores_gemma":[0.998903,0.00002082142,0.0005371309,0.0002737557,0.0001517075,0.0001136042],"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":[0.001383694,0.00005880849,0.000004515237,0.00002277838,0.00002711764,7.824715e-7,0.0001196224,0.0002703047,0.993584,0.0001830092,0.0007153909,0.003630017],"study_design_scores_gemma":[0.0007464617,0.00009070316,0.04392477,0.0000421054,0.00003150686,0.000004624091,0.00007578925,0.0000087352,0.9519463,0.001366695,0.001634304,0.0001279755],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982875,0.0000473966,0.001045077,0.00006069786,0.0002933291,0.0001549852,0.00001316495,0.000004090835,0.00009375602],"genre_scores_gemma":[0.9917084,0.00001268159,0.007741685,0.00003201652,0.000392706,0.000005882521,0.00004222427,0.00002047927,0.00004391316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04392026,"threshold_uncertainty_score":0.5410841,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2602986494","doi":"10.1038/ng.3823","title":"Genome-wide association study of glioma subtypes identifies specific differences in genetic susceptibility to glioblastoma and non-glioblastoma tumors","year":2017,"lang":"en","type":"review","venue":"Nature Genetics","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":378,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta; Institute of Genetics; McGill Genome Centre; Genome Canada","funders":"National Center for Chronic Disease Prevention and Health Promotion; National Center for Research Resources; National Institute of Neurological Disorders and Stroke; National Cancer Institute; Agence Nationale de la Recherche; Wellcome Trust; University of California, San Francisco; Mayo Clinic","keywords":"Glioblastoma; Biology; Glioma; Genome-wide association study; Genetic association; Genetics; Cancer research; Single-nucleotide polymorphism; Genotype; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.01679983006586424,"gpt":0.2954588668396421,"spread":0.2786590367737779,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004568225,0.0005946776,0.001367153,0.000444372,0.0001185771,0.0001293089,0.0007546184,0.001143486,0.00001190379],"category_scores_gemma":[0.0004878198,0.000569643,0.0002474897,0.0003502709,0.00009695323,0.000007040891,0.0005140918,0.0004709746,0.000009509805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001703313,"about_ca_system_score_gemma":0.0002144737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001235528,"about_ca_topic_score_gemma":0.001159497,"domain_scores_codex":[0.996675,0.0003088489,0.0009838261,0.00110212,0.0005028376,0.0004273843],"domain_scores_gemma":[0.9971728,0.00009719699,0.001013845,0.001260777,0.0002897181,0.0001656337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009352058,0.003283419,0.7171347,0.02318391,0.002443242,0.0002535318,0.001764991,0.0001627391,0.03565848,0.000002318325,0.002354785,0.2128227],"study_design_scores_gemma":[0.0007616215,0.001559946,0.9201535,0.001484308,0.0004715013,0.00001369252,0.000132463,0.000004266466,0.001961585,0.00003069912,0.07251831,0.0009080917],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5300797,0.4685492,0.000008000525,0.000004929012,0.0001885266,0.001088132,0.00006552794,0.000005976806,0.0000100232],"genre_scores_gemma":[0.5782253,0.4211831,0.0001022221,0.000007401371,0.0002353515,0.00006056785,0.00005604695,0.00005335844,0.00007663633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2119146,"threshold_uncertainty_score":0.9996755,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2130808338","doi":"10.1158/1078-0432.ccr-09-1467","title":"MicroRNA Expression in Squamous Cell Carcinoma and Adenocarcinoma of the Esophagus: Associations with Survival","year":2009,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":378,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Saskatchewan","funders":"National Institutes of Health; Howard Hughes Medical Institute","keywords":"Adenocarcinoma; Tissue microarray; Medicine; Esophagus; microRNA; Cancer; Carcinogenesis; Oncology; Carcinoma; Stage (stratigraphy); Pathology; Internal medicine; Esophageal cancer; Biology; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.06184540703168849,"gpt":0.3949153091517561,"spread":0.3330699021200676,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008650879,0.0000831188,0.0001511169,0.00004307137,0.00008022656,0.00001417876,0.0002325083,0.0001547366,0.00001243068],"category_scores_gemma":[0.0002691928,0.00005864134,0.00005990147,0.0002102505,0.0002262577,0.000004189524,0.0001309877,0.0002681576,8.929879e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004236648,"about_ca_system_score_gemma":0.0002872059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009886045,"about_ca_topic_score_gemma":0.0001898348,"domain_scores_codex":[0.9983946,0.0004645592,0.000296215,0.0003198916,0.0002888602,0.0002358902],"domain_scores_gemma":[0.999141,0.00012488,0.0001006852,0.0003602029,0.000188893,0.00008437371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002473612,0.0001462017,0.8283446,0.0000179842,0.000003648061,0.000002077312,0.00003955478,0.00002115358,0.1700704,0.00001078935,0.0006434007,0.0004528577],"study_design_scores_gemma":[0.0009062423,0.000262032,0.8218706,0.00001788439,0.00000623744,5.979124e-7,0.00003709736,0.00001650338,0.1766723,0.00006438939,0.00008747617,0.00005866208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886892,0.01029176,0.00001129533,0.0004796401,0.00004965605,0.0002912198,0.00002988021,0.000002365255,0.0001549833],"genre_scores_gemma":[0.9994099,0.00009220692,0.00008111691,0.0000578074,0.0001430799,0.0000165103,0.00001427806,0.00001056312,0.0001745901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01072065,"threshold_uncertainty_score":0.2391325,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2169600668","doi":"10.1261/rna.7119904","title":"Probing microRNAs with microarrays: Tissue specificity and functional inference","year":2004,"lang":"en","type":"article","venue":"RNA","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":376,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Biology; microRNA; Gene silencing; DNA microarray; Computational biology; Gene expression; Gene; Regulation of gene expression; Genetics; Microarray; Messenger RNA; Gene expression profiling","retraction":null,"screen_n_in":null,"score":{"opus":0.01175966002628349,"gpt":0.2283780917451022,"spread":0.2166184317188187,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004068671,0.00009610019,0.00006306243,0.00002132155,0.0000614708,0.00002535956,0.00004490444,0.00006252109,0.00002347918],"category_scores_gemma":[0.00001250258,0.00008574916,0.00001572644,0.00004548876,0.00007259053,0.000004379036,0.00003765994,0.00004490001,0.0000121057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000211973,"about_ca_system_score_gemma":0.00007558993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001363359,"about_ca_topic_score_gemma":0.00002628731,"domain_scores_codex":[0.9994822,0.00001065858,0.00008542669,0.0002330349,0.00006619885,0.0001224831],"domain_scores_gemma":[0.9996958,0.00000296223,0.00004367171,0.0001500045,0.00005094779,0.0000566191],"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":[0.00005691928,0.00002694962,0.0006436242,0.00001549268,0.00001727981,0.000002487975,0.0000283081,0.0002469333,0.9977949,0.0001661912,0.0001475987,0.0008532671],"study_design_scores_gemma":[0.000440994,0.00009363257,0.01937472,0.00003043067,0.00001128601,0.00003993629,0.00002096429,0.000003160544,0.9724724,0.0002013001,0.00716973,0.0001414986],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838703,0.0005247566,0.01479908,0.0001135599,0.00003855248,0.0001305393,0.000008085783,0.00001173839,0.000503451],"genre_scores_gemma":[0.9964857,0.00002944712,0.002985915,0.00007259045,0.0001470536,0.000007301401,0.00006846667,0.00001244006,0.000191099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0253226,"threshold_uncertainty_score":0.3496749,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2753109313","doi":"10.1038/cddis.2017.440","title":"Circulating microRNAs in breast cancer: novel diagnostic and prognostic biomarkers","year":2017,"lang":"en","type":"review","venue":"Cell Death and Disease","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":373,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University Health Centre","funders":"King Saud University","keywords":"Breast cancer; microRNA; Medicine; Oncology; Cancer; Biomarker; Biology; Internal medicine; Bioinformatics; Computational biology; Cancer research; Genetics; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.02979799242428465,"gpt":0.3029843469793503,"spread":0.2731863545550656,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001060014,0.0003899485,0.0005157254,0.0001004105,0.0001306638,0.0001068302,0.0001751214,0.0002233364,0.000008826335],"category_scores_gemma":[0.0003407572,0.0003635957,0.0001644308,0.00005409657,0.0001170745,0.00000747648,0.000201334,0.0001010876,0.000002824037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003701802,"about_ca_system_score_gemma":0.0005505114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005319967,"about_ca_topic_score_gemma":0.000008978233,"domain_scores_codex":[0.9985082,0.00006053137,0.000328451,0.0007006084,0.00009043439,0.0003117882],"domain_scores_gemma":[0.9986112,0.00006666836,0.0002760968,0.0004587479,0.00003810478,0.0005491779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001177181,0.000402008,0.0649474,0.04476582,0.0002957059,0.0003130461,0.00001927416,0.000007595879,0.002222677,0.00002275115,0.0007478269,0.8861382],"study_design_scores_gemma":[0.003092504,0.00007018965,0.2057909,0.02642084,0.004372762,0.0003466451,0.00001662022,0.000202073,0.00004409957,0.0001134892,0.756907,0.00262285],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01819399,0.9798584,0.00002174054,0.00002492946,0.00008786653,0.0008185021,0.0009009089,0.000009097243,0.00008455988],"genre_scores_gemma":[0.03170865,0.9669037,0.00005617023,0.00003619876,0.0001850754,0.0001909098,0.0008089551,0.00005389756,0.00005644268],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8835153,"threshold_uncertainty_score":0.9998816,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2037995476","doi":"10.1038/ncb2783","title":"The Lin28b–let-7–Hmga2 axis determines the higher self-renewal potential of fetal haematopoietic stem cells","year":2013,"lang":"en","type":"article","venue":"Nature Cell Biology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":344,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"Wellcome Trust","keywords":"Haematopoiesis; Stem cell; Biology; LIN28; Cell biology; Downregulation and upregulation; microRNA; Fetus; HMGA2; Immunology; Transcription factor; Genetics; Gene; SOX2","retraction":null,"screen_n_in":null,"score":{"opus":0.003045984558192627,"gpt":0.2071616775120455,"spread":0.2041156929538528,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001680177,0.0002139249,0.0001871765,0.00002845044,0.0001529833,0.0000292251,0.0005070015,0.0006788597,0.00007156739],"category_scores_gemma":[0.00001428536,0.0001195684,0.0001909637,0.00008966796,0.0002572595,0.000003904417,0.0001996006,0.0002433812,0.0000421279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001283449,"about_ca_system_score_gemma":0.0000595192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002000143,"about_ca_topic_score_gemma":0.00001179567,"domain_scores_codex":[0.9987017,0.0002165951,0.0003029414,0.0003528436,0.0001081172,0.0003178261],"domain_scores_gemma":[0.998873,0.00006653392,0.0002141769,0.0005960799,0.0001858908,0.00006435265],"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":[0.00003465539,0.00004694233,0.0003115934,0.00002348275,0.00007505698,0.000001285336,0.00001611054,0.00001164017,0.9936947,0.00007400585,0.003709106,0.002001487],"study_design_scores_gemma":[0.0003882715,0.0001489028,0.001466132,0.000005074457,0.00006335875,0.00001224364,0.00003340627,0.00009644882,0.9417242,0.0002815044,0.05560384,0.0001765724],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891807,0.008038832,0.0000844883,0.0005532497,0.001077324,0.0004583369,0.00002476186,0.00001997761,0.0005623084],"genre_scores_gemma":[0.9976544,0.0002389403,0.0002180291,0.0002659869,0.0004558819,0.00004006013,0.000063064,0.00002401773,0.001039572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05197039,"threshold_uncertainty_score":0.5235988,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}