{"id":"W2025975691","doi":"10.1007/s12307-008-0006-3","title":"A Dialogue between the Hypoxia-Inducible Factor and the Tumor Microenvironment","year":2008,"lang":"en","type":"article","venue":"Cancer Microenvironment","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut National Du Cancer; Centre National de la Recherche Scientifique; Institute of Cancer Research; Institut National de la Santé et de la Recherche Médicale","keywords":"Tumor microenvironment; Hypoxia (environmental); Cellular adaptation; Transcription factor; Hypoxia-inducible factors; Oxygen tension; Cell biology; Tumor hypoxia; Cancer research; Extracellular matrix; Biology; HIF1A; Chemistry; Medicine; Angiogenesis; Internal medicine; Gene; Oxygen; Tumor cells; Biochemistry","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":[0.0001777632,0.0003042105,0.0003001176,0.00002151264,0.0004236104,0.00002622947,0.0003639628,0.00009006043,0.0001075378],"category_scores_gemma":[0.00001516873,0.0001866429,0.0001627189,0.00004916481,0.001039825,0.00000603943,0.0003229132,0.000200634,0.00003057079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007573153,"about_ca_system_score_gemma":0.00006216311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000178119,"about_ca_topic_score_gemma":0.00003490054,"domain_scores_codex":[0.9983627,0.000129034,0.0002871285,0.0005669465,0.0002097389,0.0004444113],"domain_scores_gemma":[0.9989731,0.00003303274,0.0001430939,0.0007092095,0.000007732994,0.000133776],"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":[0.0003338527,0.0001070485,0.01966416,0.00002738594,0.0003902369,0.000005168879,0.001171751,0.0000920848,0.9367219,0.00002608804,0.02670675,0.01475361],"study_design_scores_gemma":[0.002006034,0.00006227286,0.1267226,0.00000924337,0.00009455034,0.00004875081,0.00008092478,0.000002492603,0.1321476,0.00002107881,0.7385548,0.0002496046],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9551604,0.0412979,0.0001965875,0.001781568,0.0005595496,0.0006782843,0.0001963305,0.000008877327,0.0001204509],"genre_scores_gemma":[0.9585014,0.03479335,0.00009721132,0.002267754,0.002239124,0.0003037427,0.00004868254,0.00004717447,0.001701578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8045743,"threshold_uncertainty_score":0.7611076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01451475093426372,"score_gpt":0.2175070695526381,"score_spread":0.2029923186183744,"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."}}