{"id":"W4282935762","doi":"10.15252/embj.2022110655","title":"An engineered multicellular stem cell niche for the 3D derivation of human myogenic progenitors from iPSCs","year":2022,"lang":"en","type":"article","venue":"The EMBO Journal","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Fonds de Recherche du Québec - Santé; Stiftung für die Erforschung der Muskelkrankheiten; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Foundation for Innovation; Stem Cell Network","keywords":"Library science; Conceptualization; Biology; Computer science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001948111,0.0002718844,0.0002322039,0.0003196195,0.0002075757,0.0003778552,0.0003511814,0.0004148851,0.0007746],"category_scores_gemma":[0.00008885441,0.000217829,0.0002784175,0.000154771,0.0001695935,0.0001528816,0.000492837,0.0005089224,0.0004906361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002044049,"about_ca_system_score_gemma":0.0002693656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003517102,"about_ca_topic_score_gemma":0.0009396443,"domain_scores_codex":[0.999887,0.000009405773,0.0000109304,0.00002212043,0.00004834805,0.00002214367],"domain_scores_gemma":[0.9999166,0.00001774093,0.00001820156,0.00001356359,0.00000884502,0.00002501775],"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":[0.00001257542,0.00000887467,0.00006371143,0.00001664526,0.000001628662,0.00006735598,0.00001478901,0.0001923405,0.9981322,0.0002600783,0.00002518016,0.00120463],"study_design_scores_gemma":[0.000009683272,0.00005132617,0.001078809,0.000009691679,0.00001108794,0.0003831951,0.00001427509,0.003219733,0.9892173,0.00009924326,0.00589924,0.000006440885],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8725566,0.001201011,0.1189002,0.0001616511,0.0001254664,0.0002264444,0.001224588,0.0007230798,0.004881022],"genre_scores_gemma":[0.920849,0.0005946586,0.07314201,0.00007133583,0.00001422624,0.0001767668,0.001022014,0.0001817553,0.003948222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007746,"threshold_uncertainty_score":0.002591252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01358872996381976,"score_gpt":0.2462297091835814,"score_spread":0.2326409792197616,"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."}}