{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001740723,0.0003676633,0.0005744655,0.000566438,0.0007795154,0.002759458,0.0006165927,0.003466145,0.003286683],"category_scores_gemma":[0.002743744,0.0001846843,0.0003465847,0.0005182269,0.0034012,0.004950888,0.001330707,0.006450511,0.001714142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002020845,"about_ca_system_score_gemma":0.0009609775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001249325,"about_ca_topic_score_gemma":0.001445127,"domain_scores_codex":[0.9994692,0.0001479107,0.00002373141,0.00009680259,0.0001555253,0.0001069262],"domain_scores_gemma":[0.9987209,0.0006200986,0.00008192923,0.00006655783,0.0002326105,0.0002777698],"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":[0.0004655573,0.0001233578,0.00210016,0.001229521,0.0001436968,0.00114066,0.0008225055,0.0005114778,0.005291888,0.1803883,0.3276908,0.4800922],"study_design_scores_gemma":[0.00002668845,0.0001010445,0.0006373517,0.0003375977,0.00002249001,0.0008262968,0.0003446509,0.0001376049,0.001443913,0.0467823,0.949319,0.00002108502],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004343587,0.7325022,0.001572289,0.2376617,0.01239191,0.000005366026,0.0001059521,0.00007212468,0.01134488],"genre_scores_gemma":[0.0920158,0.682949,0.00140392,0.1493963,0.0401797,0.00002157331,0.0001419886,0.00007751677,0.03381418],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003466145,"threshold_uncertainty_score":0.01466238,"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."}}