{"id":"W4294012183","doi":"10.1016/j.stem.2022.08.007","title":"Modeling human multi-lineage heart field development with pluripotent stem cells","year":2022,"lang":"en","type":"article","venue":"Cell stem cell","topic":"Congenital heart defects research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":99,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"Biology; Mesoderm; Induced pluripotent stem cell; Heart development; Gastrulation; Lineage (genetic); Embryonic stem cell; Transcriptome; Myocyte; Computational biology; Cell biology; Genetics; Anatomy; Bioinformatics; Gene; Gene expression","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000132887,0.0003091546,0.0001811683,0.0001924593,0.0001622272,0.0003852726,0.0004965724,0.0006801355,0.002333719],"category_scores_gemma":[0.0003437625,0.0002580145,0.0003657024,0.0001662891,0.0002903341,0.0002138317,0.0002944253,0.0002911329,0.0002101751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004677594,"about_ca_system_score_gemma":0.0006089337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005987793,"about_ca_topic_score_gemma":0.004313691,"domain_scores_codex":[0.9999532,0.00001076901,0.000001868306,0.00001098279,0.00001551891,0.000007651701],"domain_scores_gemma":[0.9998913,0.00006300427,0.00001476893,0.000007587277,0.00001409506,0.000009315241],"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":[0.00001375732,0.00001334614,0.000432015,0.00001646197,0.000005911959,0.00006442141,0.00002348969,0.9898797,0.005259738,0.002439235,0.0001080547,0.001743859],"study_design_scores_gemma":[0.000005368187,0.00001343319,0.0001637737,0.000002039987,0.000003686508,0.00002093865,0.000009937748,0.9966115,0.002080589,0.0005683486,0.0005175919,0.000002728699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5328643,0.000539656,0.4362867,0.0004612023,0.00007568963,0.0001176007,0.0009738545,0.0004657372,0.02821523],"genre_scores_gemma":[0.9568247,0.0003135165,0.03478308,0.00004563367,0.0000104168,0.00007436521,0.0002416723,0.00006152969,0.007645093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005987793,"threshold_uncertainty_score":0.01190591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0255831565993232,"score_gpt":0.2554055539519713,"score_spread":0.2298223973526481,"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."}}