{"id":"W4416842637","doi":"10.1016/j.exphem.2025.104970","title":"3029 – MODELING EFFICIENT HSC DEVELOPMENT FROM HUMAN PLURIPOTENT STEM CELLS","year":2025,"lang":"en","type":"article","venue":"Experimental Hematology","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network","funders":"","keywords":"Embryonic stem cell; Induced pluripotent stem cell; Haematopoiesis; Stem cell; Transplantation; Progenitor cell; Mesoderm; Regenerative medicine","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":[0.000143248,0.0003084657,0.0001462797,0.0001414341,0.000136865,0.000332116,0.0004100163,0.0004483727,0.004634049],"category_scores_gemma":[0.0002222722,0.000169794,0.0002957038,0.0001476531,0.0002017617,0.0001935185,0.0002113287,0.0002426982,0.0009081851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003744494,"about_ca_system_score_gemma":0.0005449335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002991027,"about_ca_topic_score_gemma":0.00226434,"domain_scores_codex":[0.9999026,0.00001452165,0.000003692084,0.00001751843,0.00004855266,0.00001319131],"domain_scores_gemma":[0.9999435,0.00001776559,0.00001059152,0.000008408727,0.00001257999,0.000007089642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005910427,0.00006783805,0.0008774314,0.00008555945,0.00001417287,0.0002610656,0.00005691927,0.8095726,0.1496513,0.02805275,0.001757666,0.00954354],"study_design_scores_gemma":[0.00001859642,0.00007102291,0.0005841483,0.000007731202,0.000007004563,0.00008266395,0.00001403663,0.9237077,0.06010194,0.003356984,0.01203813,0.000009967443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5264443,0.0006102967,0.3397891,0.0006472478,0.0001821041,0.0001987669,0.002436006,0.0007217002,0.1289705],"genre_scores_gemma":[0.9314112,0.0004037489,0.04107423,0.00006231088,0.00001623955,0.0001099098,0.001109904,0.0001588952,0.02565357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004634049,"threshold_uncertainty_score":0.01550245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01914464114576542,"score_gpt":0.2967831811916203,"score_spread":0.2776385400458549,"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."}}