{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":5,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":5,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"fc9181807e00","filters":{"venue":"EMBnet journal"}},"results":[{"id":"W4247060564","doi":"10.14806/ej.19.1.606","title":"The Global Organisation for Bioinformatics Learning, Education & Training (GOBLET)","year":2013,"lang":"en","type":"article","venue":"EMBnet journal","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Norwegian Biodiversity Information Centre; Université de Lausanne; Radboud Universiteit; University of New South Wales; Macquarie University; Commonwealth Scientific and Industrial Research Organisation; University of Cape Town; Universität Basel; Universidad de Málaga; Ontario Institute for Cancer Research; Université du Luxembourg","keywords":"Globe; Variety (cybernetics); Training (meteorology); Visibility; Value (mathematics); Public relations; Political science; Knowledge management; Computer science; Medicine; Artificial intelligence; Geography","authors":[{"name":"GOBLET Consortium","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02273019757531064,"gpt":0.3064984702373998,"spread":0.2837682726620891,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007057741,0.0001218962,0.00009849284,0.00003136735,0.00054422,0.0003600553,0.0003066715,0.0001358177,0.0001062678],"category_scores_gemma":[0.000756367,0.00008197862,0.00009314727,0.00006547544,0.0001241891,0.00001639831,0.00006810038,0.0002021503,0.0001475804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005386956,"about_ca_system_score_gemma":0.0005876474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007330988,"about_ca_topic_score_gemma":0.00002244898,"domain_scores_codex":[0.9987297,0.00005131297,0.0004094265,0.00009730611,0.000317251,0.0003950232],"domain_scores_gemma":[0.9990426,0.00003667274,0.0002027274,0.0001684837,0.0003221215,0.0002274449],"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":[0.00006467156,0.00008858796,0.002447095,0.00007611746,0.0001277044,1.869614e-7,0.001476087,0.00009480317,0.01338404,0.000381226,0.2689347,0.7129248],"study_design_scores_gemma":[0.0005517592,0.0004686727,0.002074154,0.000017628,0.00001623686,0.000133939,0.003857547,0.002075114,0.001670868,0.003404062,0.9855342,0.0001958221],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8093719,0.001929844,0.1546559,0.008331892,0.002715603,0.001691469,0.00002967251,0.00004988154,0.02122377],"genre_scores_gemma":[0.9243951,0.00335333,0.05403917,0.00181431,0.003980963,0.0001145803,0.0006243301,0.00004983303,0.01162832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7165995,"threshold_uncertainty_score":0.4185755,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2040326233","doi":"10.14806/ej.19.b.722","title":"TagCurate: crowdsourcing the verification of biomedical annotations to mobile users","year":2013,"lang":"en","type":"article","venue":"EMBnet journal","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Crowdsourcing; Android (operating system); Computer science; World Wide Web; Pipeline (software); Dissemination; Web browser; Android application; Android app; Task (project management); Mobile device; Human–computer interaction; Data science; Engineering; The Internet; Operating system","authors":[{"name":"Bahar Sateli","is_ca":true},{"name":"Sebastien Luong","is_ca":true},{"name":"René Witte","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01520067129938627,"gpt":0.3413283262216847,"spread":0.3261276549222984,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006908278,0.00004113983,0.00005737134,0.00007970199,0.0006120364,0.0001927207,0.0002108741,0.00004022289,0.001378783],"category_scores_gemma":[0.000342454,0.00003027989,0.00002689624,0.0006096553,0.0001329558,0.0002756007,0.000008977168,0.0001149207,0.0001347715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007156102,"about_ca_system_score_gemma":0.0003569052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002673515,"about_ca_topic_score_gemma":0.00009307297,"domain_scores_codex":[0.9990481,0.0001851245,0.0002207834,0.00006605059,0.0003462174,0.0001336875],"domain_scores_gemma":[0.9991254,0.00008222097,0.0001348469,0.00009897481,0.0004251809,0.000133333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001920673,0.0002988066,0.003394163,0.000007449047,0.00004364783,7.888568e-7,0.229908,0.001436735,0.02135302,0.02029402,0.6260237,0.0972204],"study_design_scores_gemma":[0.0001658622,0.00009928042,0.02075024,0.00002048712,0.00001299454,0.000004958031,0.1174654,0.0003161501,0.0004401646,0.001943129,0.8586726,0.0001086636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9626656,0.00009378374,0.003465325,0.0260038,0.001138337,0.0005076446,0.000003224658,0.00002196231,0.006100302],"genre_scores_gemma":[0.9968385,0.00003745435,0.001006294,0.0004049964,0.0005460303,0.00008091921,0.000003531066,0.000004253234,0.001078033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2326489,"threshold_uncertainty_score":0.9995341,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2762649299","doi":"10.14806/ej.23.0.892","title":"PolarFCS: A Multi-Parametric Data Visualisation Aid for Flow Cytometry Assessment","year":2017,"lang":"en","type":"article","venue":"EMBnet journal","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Plot (graphics); Computer science; Visualization; Parametric statistics; Data mining; Software; Scatter plot; Data set; Set (abstract data type); Data visualization; Workflow; Population; Artificial intelligence; Machine learning; Statistics; Database; Mathematics","authors":[{"name":"Pavandeep Gill","is_ca":true},{"name":"Joanne Luider","is_ca":true},{"name":"Etienne Mahé","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1338901701360881,"gpt":0.4123767455782927,"spread":0.2784865754422046,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007169427,0.000145872,0.0001667965,0.00009795176,0.0005558108,0.00034761,0.0008603627,0.0001474579,0.0000285816],"category_scores_gemma":[0.0004231689,0.0001323771,0.0001065879,0.0000529789,0.00005564975,0.00002927458,0.0001531366,0.000198499,0.000004521142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002934346,"about_ca_system_score_gemma":0.0001440542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001985011,"about_ca_topic_score_gemma":0.0000390732,"domain_scores_codex":[0.9989283,0.00005294471,0.0002669454,0.0003051375,0.0001809773,0.0002656826],"domain_scores_gemma":[0.9986643,0.00001906472,0.0002554955,0.0008039008,0.0001245104,0.000132781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004585997,0.0008193239,0.07234747,0.00009135241,0.0004856023,0.00002358113,0.0001096524,0.0002803651,0.7931222,0.00005713362,0.01889305,0.1133117],"study_design_scores_gemma":[0.01917202,0.002676931,0.175175,0.0001446049,0.0004251562,0.0006357497,0.0002937776,0.1957922,0.130478,0.0004650557,0.4730069,0.001734594],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4204601,0.0009953094,0.5761262,0.0003070113,0.00129242,0.0002659743,0.0002471629,0.00001141837,0.0002943538],"genre_scores_gemma":[0.8969452,0.0003966821,0.1000876,0.0002068326,0.001366876,0.000006414083,0.0005547045,0.00003127999,0.0004044152],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6626441,"threshold_uncertainty_score":0.5398182,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4233079289","doi":"10.14806/ej.v19i1.606","title":"The Global Organisation for Bioinformatics Learning, Education & Training (GOBLET)","year":2013,"lang":"en","type":"article","venue":"EMBnet journal","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Norwegian Biodiversity Information Centre; Université de Lausanne; Radboud Universiteit; University of New South Wales; Macquarie University; Commonwealth Scientific and Industrial Research Organisation; University of Cape Town; Universität Basel; Universidad de Málaga; Ontario Institute for Cancer Research; Université du Luxembourg","keywords":"Globe; Variety (cybernetics); Visibility; Training (meteorology); Value (mathematics); Public relations; Core (optical fiber); Political science; Knowledge management; Computer science; Biology; Geography; Artificial intelligence; Telecommunications","authors":[{"name":"GOBLET Consortium","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02273019757531064,"gpt":0.3064984702373998,"spread":0.2837682726620891,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007057741,0.0001218962,0.00009849284,0.00003136735,0.00054422,0.0003600553,0.0003066715,0.0001358177,0.0001062678],"category_scores_gemma":[0.000756367,0.00008197862,0.00009314727,0.00006547544,0.0001241891,0.00001639831,0.00006810038,0.0002021503,0.0001475804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005386956,"about_ca_system_score_gemma":0.0005876474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007330988,"about_ca_topic_score_gemma":0.00002244898,"domain_scores_codex":[0.9987297,0.00005131297,0.0004094265,0.00009730611,0.000317251,0.0003950232],"domain_scores_gemma":[0.9990426,0.00003667274,0.0002027274,0.0001684837,0.0003221215,0.0002274449],"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":[0.00006467156,0.00008858796,0.002447095,0.00007611746,0.0001277044,1.869614e-7,0.001476087,0.00009480317,0.01338404,0.000381226,0.2689347,0.7129248],"study_design_scores_gemma":[0.0005517592,0.0004686727,0.002074154,0.000017628,0.00001623686,0.000133939,0.003857547,0.002075114,0.001670868,0.003404062,0.9855342,0.0001958221],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8093719,0.001929844,0.1546559,0.008331892,0.002715603,0.001691469,0.00002967251,0.00004988154,0.02122377],"genre_scores_gemma":[0.9243951,0.00335333,0.05403917,0.00181431,0.003980963,0.0001145803,0.0006243301,0.00004983303,0.01162832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7165995,"threshold_uncertainty_score":0.4185755,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2008580586","doi":"10.14806/ej.19.a.634","title":"A better sequence-read generator program for metagenomics","year":2013,"lang":"en","type":"article","venue":"EMBnet journal","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"Genome Prairie","keywords":"Metagenomics; Computer science; Emulation; Generator (circuit theory); Sequence (biology); Parametric statistics; Data mining; Biology; Mathematics; Statistics","authors":[{"name":"Stephen E. Johnson","is_ca":true},{"name":"Brett Trost","is_ca":true},{"name":"Jeffrey R Long","is_ca":true},{"name":"Anthony Kusalik","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02451872003337635,"gpt":0.2765958522053288,"spread":0.2520771321719524,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001609108,0.000155198,0.0001573829,0.00002928734,0.0001829064,0.0001240323,0.0001993858,0.00008961157,0.0000824071],"category_scores_gemma":[0.00003036027,0.0001274815,0.0001574769,0.00003219835,0.00005344767,0.000001627241,0.00006639346,0.00009165454,0.00002209885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001402144,"about_ca_system_score_gemma":0.00006920304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006861614,"about_ca_topic_score_gemma":0.00000727238,"domain_scores_codex":[0.9991223,0.00002929745,0.0002362881,0.0002094277,0.00007853068,0.0003241788],"domain_scores_gemma":[0.9993942,0.000007909475,0.0001075112,0.0001825591,0.0001808053,0.0001270582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001984344,0.00005493041,0.001288364,0.000009107911,0.0002460056,0.00000213683,0.00005997598,0.00005514589,0.9000177,0.00004661965,0.0377686,0.0604315],"study_design_scores_gemma":[0.001066373,0.000980547,0.004440931,0.00000634068,0.00007637914,0.000220023,0.00009240874,0.0003685555,0.08282413,0.001936922,0.9075657,0.0004217443],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949694,0.001893001,0.001058472,0.0006969062,0.0003339163,0.0004749114,0.00002644102,0.000004440813,0.0005424978],"genre_scores_gemma":[0.9229473,0.0006388507,0.07026576,0.001611636,0.002630935,0.0003159156,0.00005282076,0.00005040838,0.00148641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8697971,"threshold_uncertainty_score":0.5198547,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}