{"id":"W2149870009","doi":"10.1158/0008-5472.can-11-3148","title":"A Zebrafish Model to Study and Therapeutically Manipulate Hypoxia Signaling in Tumorigenesis","year":2012,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Cancer Research UK; Wellcome Trust","keywords":"Zebrafish; Carcinogenesis; Biology; Transgene; Cancer research; Hypoxia-inducible factors; Transcription factor; Cell biology; Signal transduction; Cancer; Genetics; Gene","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":[0.001043233,0.0001317352,0.0001728362,0.000130839,0.0001047765,0.00003991025,0.0002045486,0.00008273879,0.00003280578],"category_scores_gemma":[0.00004877614,0.0001237953,0.00003457272,0.0002587257,0.00005938159,0.000008370228,0.0002217454,0.0001828308,0.000007688631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004186863,"about_ca_system_score_gemma":0.0001382312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002859863,"about_ca_topic_score_gemma":0.0003300488,"domain_scores_codex":[0.998333,0.0001591273,0.0001758272,0.0003772767,0.0003036727,0.0006510424],"domain_scores_gemma":[0.9992834,0.00001903454,0.00001807223,0.0003013695,0.0001195268,0.0002585707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002370661,0.0001983538,0.009909648,0.0000158229,0.00004439627,0.000001413168,0.00097958,0.0004021426,0.9757152,0.00005713165,0.0002812992,0.01215792],"study_design_scores_gemma":[0.005682431,0.001291608,0.2814582,0.0001072998,0.0001055671,0.00002241349,0.003115029,0.001163609,0.6174747,0.0008147556,0.08728746,0.001476821],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904018,0.008209345,0.0002184784,0.0001767749,0.0002126276,0.000560899,0.000009556163,0.00000740105,0.0002030896],"genre_scores_gemma":[0.9967252,0.0009228689,0.0002302411,0.0002991607,0.0009762591,0.0003155732,0.000003461233,0.00003424899,0.0004929981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3582405,"threshold_uncertainty_score":0.5048227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1050404974690253,"score_gpt":0.3996671100778345,"score_spread":0.2946266126088092,"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."}}