{"id":"W2270616373","doi":"10.1146/annurev-bioeng-083115-032943","title":"Tissue Patterning: Translating Design Principles from In Vivo to In Vitro","year":2016,"lang":"en","type":"review","venue":"Annual Review of Biomedical Engineering","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cell fate determination; Biology; Cell biology; Tissue engineering; Compartment (ship); Morphogenesis; Developmental biology; Embryo; Cell; Ex vivo; Cellular differentiation; In vivo; Computational biology; Gene; Genetics; Transcription factor","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001005104,0.0003768844,0.001469542,0.0002944772,0.000008747093,0.000006724778,0.0005699498,0.0003572935,0.00006050034],"category_scores_gemma":[0.0007730331,0.0002888342,0.0002297595,0.0004407583,0.00003835093,0.000005423791,0.0002309747,0.0003002706,0.00002668988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000651107,"about_ca_system_score_gemma":0.0001814587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003129927,"about_ca_topic_score_gemma":0.000002874491,"domain_scores_codex":[0.997217,0.0002090377,0.001122509,0.0005662394,0.000401897,0.0004833211],"domain_scores_gemma":[0.9990022,0.0001751873,0.0001556667,0.0004031937,0.00004020004,0.0002235727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000810543,0.00003809186,7.262775e-7,0.04959571,0.00004793737,0.00004552306,0.00002392285,0.000007898662,0.02967016,7.646173e-7,0.0001856082,0.9203755],"study_design_scores_gemma":[0.0001428543,0.00007639656,0.000001251012,0.1447101,0.000027515,0.00000654244,0.000002294999,0.00002053321,0.005170112,3.608785e-7,0.8495798,0.0002623004],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002077454,0.9852411,0.01316745,0.0000923785,0.00009364963,0.0009782027,0.0003542265,0.000009243414,0.00004294151],"genre_scores_gemma":[0.00008232474,0.9964975,0.002693692,0.00004954754,0.0001792127,0.0001728072,0.0001963894,0.00006172132,0.00006680038],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9201133,"threshold_uncertainty_score":0.9999564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02786484454521003,"score_gpt":0.32648671785384,"score_spread":0.29862187330863,"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."}}