{"id":"W2904209686","doi":"10.1002/jcp.27977","title":"Wnt signaling reprograms metabolism in dental pulp stem cells","year":2018,"lang":"en","type":"article","venue":"Journal of Cellular Physiology","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research","funders":"Euskal Herriko Unibertsitatea; CHILDREN with CANCER UK; National Institute for Health and Care Research; Cancer Research UK","keywords":"Dental pulp stem cells; Wnt signaling pathway; Cell biology; Biology; Stem cell; Reprogramming; Citric acid cycle; Mitochondrion; Signal transduction; Metabolism; Biochemistry; Cell","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":[0.0009151881,0.000131676,0.0003650536,0.0002315535,0.00003066219,0.00002247988,0.0003961658,0.000141764,0.0001751569],"category_scores_gemma":[0.0000417138,0.0001111629,0.0001305799,0.000289429,0.0001801183,0.00009043502,0.00008598599,0.0005774399,0.00009788375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007188239,"about_ca_system_score_gemma":0.00003860945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008492901,"about_ca_topic_score_gemma":0.000002315265,"domain_scores_codex":[0.9984102,0.0001392088,0.0005580997,0.0001466353,0.0003274593,0.0004184602],"domain_scores_gemma":[0.9992976,0.0001205858,0.0001219393,0.0001836305,0.0001230516,0.0001531918],"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":[0.00003226474,0.00004556086,0.00008939332,0.00003505849,0.00005045303,0.00006657263,0.0001534496,0.0005711198,0.9903219,0.00005087274,0.0001517283,0.008431607],"study_design_scores_gemma":[0.0005048407,0.0001737861,0.001142168,0.00005925859,0.00001319439,0.00003470601,0.0001101603,0.003746443,0.9874986,0.000663372,0.005922838,0.0001306149],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959064,0.0008768789,0.001753229,0.00002878017,0.001093789,0.00007412912,6.791719e-7,0.00002761327,0.000238483],"genre_scores_gemma":[0.9976367,0.00008133744,0.001195206,0.0000242367,0.0009882353,0.000002157861,7.751764e-7,0.00002755701,0.00004381049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008300993,"threshold_uncertainty_score":0.4533092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695924545333344,"score_gpt":0.2601490178221784,"score_spread":0.243189772368845,"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."}}