{"id":"W3010372003","doi":"10.1016/j.mtchem.2020.100250","title":"Mechanisms of graphene influence on cell differentiation","year":2020,"lang":"en","type":"article","venue":"Materials Today Chemistry","topic":"Graphene and Nanomaterials Applications","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Addiction and Mental Health","funders":"National University Health System; Ministry of Education - Singapore","keywords":"Nanotechnology; Materials science; Cellular differentiation; Biophysics; Chemistry; Biology","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":[0.00003791,0.0001341906,0.0001920526,0.00001377882,0.00002216367,0.00002272041,0.0001450379,0.00008523082,0.0005145519],"category_scores_gemma":[0.000007661773,0.0001353367,0.00003510023,0.00009910139,0.00001458079,0.00003927393,0.00002263352,0.00003229696,0.00003735674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008444117,"about_ca_system_score_gemma":0.000005575397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003766163,"about_ca_topic_score_gemma":7.022648e-8,"domain_scores_codex":[0.9993444,0.000007773088,0.0002721084,0.0001471913,0.0001014975,0.0001270405],"domain_scores_gemma":[0.9996474,0.00001087057,0.00006629957,0.0001871052,0.00002450801,0.00006378455],"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":[0.00001112317,0.00001758579,0.00001160849,0.0003351018,0.000008894678,4.581107e-7,0.00004297245,0.0004495714,0.9987383,0.0001995437,0.0001696112,0.00001524392],"study_design_scores_gemma":[0.0001758046,0.00001535683,0.0006589766,0.00001767685,0.00001363404,3.546036e-7,0.000009585668,0.00004571985,0.9978291,0.001016285,0.00009242337,0.0001250203],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977093,0.0000180884,0.0009606183,0.00004286785,0.00008322037,0.00009664235,0.0001270064,0.000178336,0.0007838794],"genre_scores_gemma":[0.9994549,0.00002848478,0.0002678966,0.00005508515,0.00004609692,0.00003815326,0.0000747188,0.00002456815,0.00001013327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001745522,"threshold_uncertainty_score":0.5633983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005370091129137947,"score_gpt":0.1704371222645246,"score_spread":0.1650670311353866,"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."}}