{"id":"W2017182875","doi":"10.1016/j.joca.2014.02.831","title":"Modelling campomelic dysplasia using induced pluripotent stem cells","year":2014,"lang":"en","type":"article","venue":"Osteoarthritis and Cartilage","topic":"Renal and related cancers","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Sinai Hospital; Stemcell Technologies; Ottawa Hospital; University of Toronto","funders":"","keywords":"Induced pluripotent stem cell; SOX9; Germ layer; SOX2; KLF4; Endoderm; Mesoderm; Biology; Embryonic stem cell; Cell biology; Stem cell; Cancer research; Pathology; Molecular biology; Genetics; Medicine","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":[0.0001336547,0.0003021599,0.0001838996,0.000295619,0.0001515006,0.0004490756,0.0005103386,0.0006090364,0.001289568],"category_scores_gemma":[0.0003121575,0.0002509498,0.0003250566,0.0002195429,0.0003297809,0.0002072688,0.00025686,0.0003874894,0.0001541939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004175814,"about_ca_system_score_gemma":0.0004514923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003260859,"about_ca_topic_score_gemma":0.003397525,"domain_scores_codex":[0.9999307,0.00001119602,0.000003927788,0.00001226328,0.00003125716,0.00001061438],"domain_scores_gemma":[0.9998969,0.00004482634,0.0000263861,0.000010927,0.00001144644,0.000009603902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006414096,0.00004297503,0.001312986,0.0001436008,0.00002270294,0.0004209415,0.00005708554,0.7323055,0.2463752,0.01506601,0.0001702534,0.004018688],"study_design_scores_gemma":[0.00003565579,0.00009988752,0.001249294,0.00001531981,0.00002878163,0.0002155166,0.00005193411,0.9009477,0.08799853,0.005608537,0.003726248,0.00002257898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7870902,0.0006394284,0.1980394,0.000251582,0.00008736063,0.0001045952,0.0008593092,0.000303911,0.01262417],"genre_scores_gemma":[0.9639596,0.0004384733,0.03133641,0.00003054464,0.000006690037,0.00005644366,0.0003225977,0.00004047063,0.003808732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003260859,"threshold_uncertainty_score":0.006483734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01101106414530558,"score_gpt":0.2065676129069697,"score_spread":0.1955565487616641,"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."}}