{"id":"W2979187945","doi":"10.1016/j.celrep.2019.08.073","title":"A Small-Molecule Pan-Id Antagonist Inhibits Pathologic Ocular Neovascularization","year":2019,"lang":"en","type":"article","venue":"Cell Reports","topic":"Retinopathy of Prematurity Studies","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Social Fund; Fonds de Recherche du Québec - Santé; Generalitat Valenciana; Ministerio de Educación, Cultura y Deporte; National Cancer Institute; National Institutes of Health; Human Frontier Science Program; Mountain Equipment Co-operative; Memorial Sloan-Kettering Cancer Center; Angiogenex; Breast Cancer Research Foundation","keywords":"Phenocopy; Neovascularization; Transcription factor; Cancer research; Retinal; Biology; Cell biology; Small molecule; Antagonist; In silico; Angiogenesis; Receptor; Genetics; Biochemistry; Phenotype; Gene","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":[0.0004618427,0.0002294903,0.0004648534,0.00009002851,0.00009669909,0.00003967266,0.0000606903,0.0001718598,0.00008613584],"category_scores_gemma":[0.0002371827,0.0001976738,0.0001927543,0.000186384,0.0000719817,0.00005859484,0.000122119,0.0002367468,0.0002021536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006161699,"about_ca_system_score_gemma":0.0000897336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002265552,"about_ca_topic_score_gemma":0.000003370125,"domain_scores_codex":[0.9981581,0.00005808221,0.0004807884,0.0005829083,0.0003944323,0.0003256956],"domain_scores_gemma":[0.998623,0.00002399968,0.0002811273,0.0008008595,0.0001629467,0.0001080525],"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":[0.00009052846,0.0004875636,0.2277091,0.0009444373,0.0001252306,0.02168057,0.0009781772,0.00001320877,0.7448336,0.00005185039,0.001777159,0.001308575],"study_design_scores_gemma":[0.001693414,0.0008017524,0.09797109,0.000342253,0.0004340559,0.007718295,0.0004609131,0.0001055102,0.8732519,0.0003278749,0.01620176,0.0006911545],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9619192,0.001776226,0.0001745177,0.0002718729,0.0004336026,0.0009167835,0.000001120119,0.0001658373,0.03434079],"genre_scores_gemma":[0.9939051,0.0001326699,0.00118737,0.0003926588,0.0001008915,0.00002258776,0.0000989892,0.00003786054,0.004121866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.129738,"threshold_uncertainty_score":0.8060904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01290463234772725,"score_gpt":0.2261202666692437,"score_spread":0.2132156343215164,"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."}}