{"id":"W2138627124","doi":"10.1155/s1110724302205057","title":"Playing Tag with HIF: The VHL Story","year":2002,"lang":"en","type":"article","venue":"BioMed Research International","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"National Cancer Institute","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005463688,0.00008304798,0.00006135234,0.0001162648,0.0002533828,0.00005851394,0.0004504389,0.00006740438,0.0003846036],"category_scores_gemma":[0.0001355769,0.00005410265,0.00004692984,0.000156146,0.0002851671,0.000005577813,0.0001470509,0.0002278675,0.00008124649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003888394,"about_ca_system_score_gemma":0.00005608546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004010993,"about_ca_topic_score_gemma":0.00004491553,"domain_scores_codex":[0.9986844,0.0001103336,0.00009167112,0.0002498961,0.0005815324,0.0002821535],"domain_scores_gemma":[0.9993463,0.00003652758,0.00003157199,0.0002578376,0.0002439663,0.00008380954],"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":[0.0001586033,0.0001126687,0.0006475986,0.000007898948,0.0001790555,0.000005990204,0.0001742009,0.00001121991,0.5496117,0.000792146,0.4169122,0.03138667],"study_design_scores_gemma":[0.0005036704,0.00008851694,0.002987067,0.0000084895,0.000003172542,0.00002416914,0.00008662271,0.0001735616,0.009937529,0.0000259594,0.9860774,0.00008381307],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9058656,0.0114242,0.0007180618,0.01870461,0.006811813,0.0006490009,0.0001524353,0.00004040594,0.05563385],"genre_scores_gemma":[0.9632394,0.001379111,0.0003302786,0.0002838406,0.00586289,0.00008003011,0.00008673624,0.00002167061,0.0287161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5691652,"threshold_uncertainty_score":0.4211139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05825601837466959,"score_gpt":0.3376571740096001,"score_spread":0.2794011556349305,"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."}}