{"id":"W4416573046","doi":"10.1016/j.cell.2025.11.018","title":"Fate and state transitions during human blood vessel organoid development","year":2025,"lang":"en","type":"article","venue":"Cell","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"NCCR Catalysis; Eidgenössische Technische Hochschule Zürich; Bundesministerium für Bildung und Forschung; Österreichischen Akademie der Wissenschaften; Vienna Science and Technology Fund; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Canada Research Chairs; Chan Zuckerberg Initiative; European Research Council; Fundació la Marató de TV3; T. Von Zastrow Foundation; Silicon Valley Community Foundation","keywords":"Organoid; Blood vessel; Human blood; State (computer science); Blood cell","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001725367,0.00004972777,0.0001055889,0.0002098103,0.0001811483,0.0006942946,0.0001061732,0.0001285132,0.002120874],"category_scores_gemma":[0.0003959963,0.0001206105,0.00009730655,0.0001711769,0.0002271718,0.0003861794,0.0002188507,0.00021846,0.0002686603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002795391,"about_ca_system_score_gemma":0.0001923272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001435564,"about_ca_topic_score_gemma":0.001504934,"domain_scores_codex":[0.9999267,0.00001800356,0.000003114641,0.00001482238,0.00001733761,0.00002009517],"domain_scores_gemma":[0.9998872,0.00006007959,0.00001424708,0.000009086358,0.00001323187,0.00001606137],"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":[0.001160643,0.00004202682,0.008850267,0.00004017668,0.00001677075,0.0002606986,0.0009809679,0.0007370016,0.9696051,0.004910655,0.000292391,0.01310327],"study_design_scores_gemma":[0.00003728926,0.0003092384,0.1044564,0.00002262044,0.0000371009,0.000372532,0.001091693,0.0066951,0.877213,0.002380287,0.007356579,0.0000281596],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993924,0.0005447492,0.002469082,0.00003819491,0.000008913285,0.000007139161,0.0002092043,0.00002786102,0.00277105],"genre_scores_gemma":[0.998431,0.0001430616,0.0002141353,0.00001052284,0.000001881323,0.000008041272,0.0001454416,0.000007021982,0.001038779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002120874,"threshold_uncertainty_score":0.007095039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00663468145001969,"score_gpt":0.2374465706928844,"score_spread":0.2308118892428647,"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."}}