{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002520214,0.000281848,0.0002338607,0.0002022222,0.0002068611,0.0005242874,0.000420254,0.0004794298,0.001643319],"category_scores_gemma":[0.0002925603,0.0002126836,0.0002581735,0.0002072654,0.0004018206,0.0003600997,0.0004632112,0.0009742777,0.0009982588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002429807,"about_ca_system_score_gemma":0.0002248241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002394899,"about_ca_topic_score_gemma":0.0004684897,"domain_scores_codex":[0.9997208,0.00003021315,0.00002881651,0.00005708194,0.0001360389,0.00002705976],"domain_scores_gemma":[0.9998314,0.0000429986,0.00003746486,0.00002442004,0.00003766728,0.0000259828],"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":[0.00003497323,0.00002992214,0.0001626933,0.0001461785,0.00001064437,0.00008808139,0.0000831572,0.0003854354,0.9774693,0.008788439,0.0007007051,0.01210061],"study_design_scores_gemma":[0.00002345454,0.0001335208,0.0004462066,0.00002005829,0.00001907545,0.0003083978,0.00002377401,0.00317163,0.8653568,0.001088036,0.1293938,0.00001525084],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5692824,0.01749899,0.3458666,0.001583865,0.003107082,0.0006931944,0.002142028,0.00162126,0.05820469],"genre_scores_gemma":[0.8022009,0.008607195,0.1601952,0.0005652949,0.0001608476,0.0006007195,0.001723326,0.0003402748,0.02560625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001643319,"threshold_uncertainty_score":0.005497515,"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."}}