{"id":"W2999018780","doi":"10.3390/biomedicines8010010","title":"Meta-Analysis of Hypoxic Transcriptomes from Public Databases","year":2020,"lang":"en","type":"article","venue":"Biomedicines","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Bioscience Database Center; Institute of Genetics; Japan Science and Technology Agency; Research Organization of Information and Systems","keywords":"Transcriptome; Biology; Hypoxia (environmental); Transcription factor; Gene; Gene expression; Database; Hypoxia-inducible factors; Gene expression profiling; Computational biology; Bioinformatics; Genetics; Oxygen; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000106064,0.0001690682,0.0007344591,0.0001491448,0.00002822556,0.000009247903,0.000235516,0.00006482832,0.0005350877],"category_scores_gemma":[0.00009396284,0.0001247794,0.0006438582,0.0006956569,0.0001555893,0.00000621698,0.0000518938,0.00004095729,0.00000459533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002183099,"about_ca_system_score_gemma":0.00006107916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002596223,"about_ca_topic_score_gemma":0.0001259077,"domain_scores_codex":[0.9988469,0.00005188297,0.0003123437,0.0003894535,0.0002224947,0.0001768901],"domain_scores_gemma":[0.999207,0.00002276525,0.0001137429,0.0003918714,0.00009222551,0.0001723805],"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":[0.0000450612,0.00004695767,0.0005163102,0.00001814538,0.06018661,8.074137e-7,0.0001376945,0.000003119671,0.9227489,0.00004095756,0.01483574,0.001419644],"study_design_scores_gemma":[0.000503379,0.0001052847,0.002918385,0.000001284045,0.1005637,7.524808e-7,0.0001859896,0.00004381233,0.09129827,0.000008395355,0.8041899,0.0001809107],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.741294,0.2333249,0.00766908,0.01137801,0.001316977,0.0003423815,0.004039285,0.00005865405,0.0005766971],"genre_scores_gemma":[0.9910232,0.002134391,0.0007544123,0.002367086,0.001608956,0.00002041774,0.001842497,0.00001850618,0.0002305358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8314507,"threshold_uncertainty_score":0.5858835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.146524091477059,"score_gpt":0.3060610260646263,"score_spread":0.1595369345875673,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}