{"id":"W2091476595","doi":"10.1002/pmic.201100030","title":"Proteomic analysis of extracellular matrices used in stem cell culture","year":2011,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Extracellular matrix; Fibronectin; Embryonic stem cell; Cell biology; Proteomics; Biology; Induced pluripotent stem cell; Matrix (chemical analysis); Cell culture; Fibroblast; Chemistry; Biochemistry; Computational biology; Molecular biology; In vitro; Genetics; 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":[0.0005184903,0.0001351334,0.0003053906,0.0005083201,0.00001624521,0.00001503907,0.0003776349,0.0001672928,0.0001310356],"category_scores_gemma":[0.00002385499,0.0001239754,0.0001048753,0.001365398,0.00005704685,0.00007552577,0.00007056336,0.0003314394,0.00003133963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007593053,"about_ca_system_score_gemma":0.00002647988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008128025,"about_ca_topic_score_gemma":0.00001225705,"domain_scores_codex":[0.9987913,0.00004587098,0.0003793767,0.0001925183,0.000281717,0.0003091827],"domain_scores_gemma":[0.9994686,0.00002670682,0.00006582525,0.0003075563,0.00004273853,0.0000885799],"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":[0.00004372796,0.0001818138,0.1032127,0.0008389716,0.0003784771,0.00002695215,0.005122768,0.004040898,0.8828501,0.0001886086,0.00006515296,0.003049832],"study_design_scores_gemma":[0.0003609149,0.00004666575,0.01608488,0.00004595824,0.0001051307,6.410577e-7,0.0001255933,0.08810926,0.894581,0.0001686659,0.0001414353,0.0002299021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884748,0.0003689362,0.00875973,0.000005485683,0.00004304425,0.0006065007,0.00001011849,0.00009179537,0.001639578],"genre_scores_gemma":[0.9746825,0.0001131606,0.02485767,0.000001727434,0.00001596564,0.00008765312,0.00000522818,0.00002595627,0.0002102069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08712779,"threshold_uncertainty_score":0.5055571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02936372946761177,"score_gpt":0.2447067642479213,"score_spread":0.2153430347803096,"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."}}