{"id":"W2887011109","doi":"10.1016/j.scr.2018.07.025","title":"Paracrine mechanisms in early differentiation of human pluripotent stem cells: Insights from a mathematical model","year":2018,"lang":"en","type":"article","venue":"Stem Cell Research","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; European Commission; Stem Cell Network; Joachim Herz Stiftung","keywords":"Biology; Paracrine signalling; Induced pluripotent stem cell; Cell biology; Cellular differentiation; Wnt signaling pathway; Mesoderm; Stem cell; Germ layer; Embryonic stem cell; Computational biology; Genetics; Signal transduction; Receptor; 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":[0.0008414574,0.0002410688,0.000355261,0.0003593266,0.0001696381,0.00006129356,0.0007215994,0.0002933358,0.00006922891],"category_scores_gemma":[0.00001129378,0.0002171334,0.0001191705,0.0003637626,0.0002961564,0.00001374997,0.0007200702,0.0004081025,0.0001824686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008922278,"about_ca_system_score_gemma":0.0001548214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001772146,"about_ca_topic_score_gemma":0.000170761,"domain_scores_codex":[0.99612,0.0005408819,0.0005994494,0.000757356,0.001257466,0.0007248442],"domain_scores_gemma":[0.998183,0.00008559811,0.0001152597,0.0008969973,0.0004949562,0.0002242077],"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":[0.00018596,0.0004006608,0.0001524113,0.0001376967,0.00003210557,0.00001233962,0.0005555074,0.00006674061,0.9967701,0.001078748,0.0001750648,0.0004326942],"study_design_scores_gemma":[0.0009657794,0.000858671,0.0005396695,0.00008096563,0.000008363589,8.037783e-7,0.000325693,0.01698863,0.973392,0.006553164,0.00007960643,0.0002067265],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869106,0.0002768266,0.007803239,0.00003238895,0.00005066903,0.0007082176,0.00003641755,0.00001327625,0.004168363],"genre_scores_gemma":[0.9934816,0.00009015585,0.0005383431,0.000009351026,0.0001120195,0.00008316601,0.00005327044,0.00005354005,0.005578514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02337815,"threshold_uncertainty_score":0.8854442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04883737455243367,"score_gpt":0.3176330525879664,"score_spread":0.2687956780355327,"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."}}