{"id":"W2114342320","doi":"10.1152/physiolgenomics.00063.2005","title":"Gene expression analysis of Tek/Tie2 signaling","year":2005,"lang":"en","type":"article","venue":"Physiological Genomics","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Heart and Stroke Foundation; University of Toronto; Sunnybrook Health Science Centre","funders":"National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Angiopoietin receptor; Biology; Receptor tyrosine kinase; Angiogenesis; Cell biology; Gene; Null allele; Angiopoietin; Signal transduction; Transcriptome; Gene expression; Embryonic stem cell; Genetics; Cancer research; Vascular endothelial growth factor; Allele","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008906468,0.0001161789,0.0002366954,0.00004188331,0.00004621203,0.000005540011,0.0001791741,0.0001266878,0.000115298],"category_scores_gemma":[0.00001706547,0.00008929731,0.0002904927,0.0001442127,0.00006212478,0.000001896869,0.0001173187,0.00003963858,0.000006991237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001546803,"about_ca_system_score_gemma":0.0000205271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003889688,"about_ca_topic_score_gemma":0.000002096215,"domain_scores_codex":[0.9992139,0.00003526315,0.0002200768,0.0002908023,0.00007057533,0.0001693386],"domain_scores_gemma":[0.9995173,0.00001068809,0.00010707,0.0002594038,0.00005104821,0.00005445516],"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":[0.00005457507,0.00006084855,0.0009368991,0.000002716797,0.0002039751,2.048155e-7,0.00001624828,0.02181634,0.9748186,0.00001936139,0.000355294,0.001714882],"study_design_scores_gemma":[0.000128673,0.0001044328,0.006533187,0.00000214475,0.0001326815,3.067904e-7,0.00001971946,0.0007222359,0.9853933,0.00003474224,0.006793017,0.0001354883],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958877,0.001242004,0.002505925,0.0000216938,0.00003034898,0.0000563897,0.00003512032,0.000007344088,0.0002134852],"genre_scores_gemma":[0.9925653,0.0004489826,0.006008178,0.0002746854,0.000435271,0.000009397292,0.0001585643,0.000009824191,0.00008974551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02109411,"threshold_uncertainty_score":0.3641439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02451706290196056,"score_gpt":0.2708489766050885,"score_spread":0.2463319137031279,"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."}}