{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"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":"d5e88d2ffb73","filters":{"venue":"iMetaOmics."}},"results":[{"id":"W4410061253","doi":"10.1002/imo2.70019","title":"Identification of potential SARS‐CoV‐2 genomic regions representing hallmarks for adaptation to different hosts","year":2025,"lang":"en","type":"article","venue":"iMetaOmics.","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":1,"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 Scarborough; Narodowe Centrum Nauki; University of Toronto","keywords":"Identification (biology); Adaptation (eye); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Biology; 2019-20 coronavirus outbreak; Computational biology; Sars virus; Evolutionary biology; Virology; Medicine; Ecology; Neuroscience; Infectious disease (medical specialty); Disease; Outbreak; Pathology","authors":[{"name":"Janusz Wiśniewski","is_ca":false},{"name":"Heng‐Chang Chen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05521058022219098,"gpt":0.3740210284648403,"spread":0.3188104482426493,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005621692,0.0007421118,0.0006049555,0.001480164,0.0003918391,0.001053432,0.0002827494,0.0006016151,0.003176434],"category_scores_gemma":[0.001306089,0.0003149717,0.0008119894,0.0008843034,0.0002147251,0.0006256672,0.0007487187,0.0006998779,0.001628863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000248615,"about_ca_system_score_gemma":0.0003677725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005060264,"about_ca_topic_score_gemma":0.001623959,"domain_scores_codex":[0.9996945,0.00003580761,0.00002154959,0.0001517092,0.00004912839,0.0000473222],"domain_scores_gemma":[0.9994837,0.0001906881,0.0001317177,0.00006204875,0.00006074159,0.00007109861],"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":[0.002949079,0.0001850199,0.08452617,0.0009656728,0.0003235445,0.001002559,0.0005862765,0.002911011,0.8211148,0.0007488807,0.001870052,0.082817],"study_design_scores_gemma":[0.0001995026,0.001426465,0.5055467,0.0002842883,0.0007297389,0.006231878,0.001128827,0.05132502,0.398369,0.004530892,0.0300218,0.0002058882],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9376466,0.002026053,0.03620949,0.000211904,0.00005634853,0.000153017,0.01867225,0.002302702,0.002721607],"genre_scores_gemma":[0.8724808,0.0007448104,0.09107551,0.0002076471,0.00002833465,0.000114843,0.03238629,0.0005298847,0.002432028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003176434,"threshold_uncertainty_score":0.0106262,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403441916","doi":"10.1002/imo2.34","title":"Integrated omics revealed the altered colonic microenvironment after inhibition of peripheral serotonin synthesis by LP533401","year":2024,"lang":"en","type":"article","venue":"iMetaOmics.","topic":"Metabolomics and Mass Spectrometry Studies","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":"Serotonin; Peripheral; Omics; Chemistry; Biology; Medicine; Bioinformatics; Biochemistry; Internal medicine; Receptor","authors":[{"name":"Yidan Ling","is_ca":false},{"name":"Ziyu Liu","is_ca":false},{"name":"Shuibing Han","is_ca":false},{"name":"Haiqin Wu","is_ca":false},{"name":"Chunlong Mu","is_ca":true},{"name":"Weiyun Zhu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005190898216097722,"gpt":0.2137360475147627,"spread":0.208545149298665,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002563464,0.0006998742,0.0009844421,0.00092519,0.0003193963,0.000693983,0.0002223822,0.0004139093,0.001289151],"category_scores_gemma":[0.0001549951,0.0002185161,0.0008475198,0.0009560839,0.0001881534,0.0003034741,0.0004175155,0.0006085949,0.0004036749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000259796,"about_ca_system_score_gemma":0.0003884805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001296027,"about_ca_topic_score_gemma":0.001684429,"domain_scores_codex":[0.999767,0.00002208298,0.00001396325,0.00007600742,0.00007873782,0.00004213511],"domain_scores_gemma":[0.9998872,0.0000196992,0.00002824548,0.00001143347,0.00003764675,0.00001566888],"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":[0.0004964703,0.00003627337,0.003306521,0.0001765191,0.00007885768,0.0001027989,0.00003579563,0.0003228001,0.9898283,0.0000512172,0.0001599614,0.005404593],"study_design_scores_gemma":[0.00005337865,0.001403581,0.2432717,0.0001053203,0.0007565677,0.0006359232,0.0005676812,0.01413023,0.7252032,0.0007665016,0.01300925,0.00009678613],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.944806,0.005551002,0.01582088,0.0003176735,0.0000846547,0.0001259733,0.03071117,0.000506015,0.002076629],"genre_scores_gemma":[0.9374423,0.003441787,0.0243881,0.0004483603,0.00002717341,0.000288709,0.02969265,0.0002122751,0.004058577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001296027,"threshold_uncertainty_score":0.004312694,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}