{"id":"W3087100678","doi":"10.1126/sciadv.abb4920","title":"Artificial cells drive neural differentiation","year":2020,"lang":"en","type":"article","venue":"Science Advances","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":144,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Provincia Autonoma di Trento; Ministero dell’Istruzione, dell’Università e della Ricerca; European Commission; Giovanni Armenise-Harvard Foundation; Simons Foundation","keywords":"Neural stem cell; Embryonic stem cell; Cell biology; Artificial cell; Nerve cells; Drug delivery; Biology; Neuroscience; Stem cell; Chemistry; Nanotechnology; Materials science; Biochemistry; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000879724,0.0001371624,0.0001169931,0.00009473427,0.0004228777,0.000175843,0.0006825173,0.00001680877,0.000030529],"category_scores_gemma":[0.0005432813,0.000115492,0.00004339392,0.001544723,0.0005988089,0.002051564,0.0001230163,0.0001469719,0.0001261146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001896581,"about_ca_system_score_gemma":0.00004043337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.452045e-7,"about_ca_topic_score_gemma":5.983562e-7,"domain_scores_codex":[0.9980076,0.00002445527,0.0001867558,0.0006963393,0.000627124,0.0004577313],"domain_scores_gemma":[0.9994307,0.00008151642,0.00007385901,0.0001584556,0.0000244825,0.000230945],"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":[0.000006656397,0.00001073163,0.00004369802,0.000004629875,7.459814e-8,0.000008951598,0.0001500858,0.001875361,0.9867327,0.0007492549,0.000009010892,0.01040881],"study_design_scores_gemma":[0.00004461023,0.00009481517,0.0002331598,0.000003208985,0.000001663347,0.000003831524,0.00003962722,0.03033066,0.9679047,0.0003172049,0.000885495,0.0001410401],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952639,0.00002527831,0.001274996,0.001320641,0.001188862,0.0001513592,0.000005018699,0.0002016466,0.0005682537],"genre_scores_gemma":[0.9974636,0.00001799532,0.0001254433,0.002196546,0.0001438032,0.000006571105,1.851651e-7,0.000008578555,0.00003724034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0284553,"threshold_uncertainty_score":0.4709628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03716729288205937,"score_gpt":0.2756742253817989,"score_spread":0.2385069324997395,"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."}}