{"id":"W2966310143","doi":"10.1002/anie.201907817","title":"Potential‐Responsive Surfaces for Manipulation of Cell Adhesion, Release, and Differentiation","year":2019,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Adhesion; Cell adhesion; Adipogenesis; Cell biology; Cell; Biophysics; Stem cell; Cellular differentiation; Chemistry; Nanotechnology; Materials science; Biology; Biochemistry; Mesenchymal stem cell","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":[0.0002870437,0.0003277192,0.0002182516,0.0002943346,0.0002122333,0.0004020894,0.0003342161,0.0004702588,0.001974663],"category_scores_gemma":[0.0002748726,0.0002325245,0.0001833175,0.0003146998,0.0003173914,0.0004027718,0.0003728857,0.0006792056,0.0008780558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002712117,"about_ca_system_score_gemma":0.0001286863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002041288,"about_ca_topic_score_gemma":0.0002894709,"domain_scores_codex":[0.9998156,0.00002529333,0.000009939643,0.00003392953,0.00009388564,0.00002139643],"domain_scores_gemma":[0.999923,0.00003481937,0.00001481705,0.000007844926,0.00001289871,0.00000663247],"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":[0.00002255127,0.00001394192,0.00004029226,0.0001374182,0.000004701668,0.00005408014,0.00003371084,0.0002257971,0.9811299,0.002355539,0.0006379625,0.01534409],"study_design_scores_gemma":[0.00001701802,0.0001078349,0.0003924535,0.00002201434,0.00001006899,0.0001794762,0.00002958159,0.002432796,0.970426,0.001157238,0.02520731,0.00001819763],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5283637,0.1106558,0.2836147,0.003051374,0.002056597,0.0003211345,0.0007484291,0.00166026,0.06952804],"genre_scores_gemma":[0.8797859,0.02574592,0.07774568,0.0006227276,0.0001803702,0.0003047444,0.0004293128,0.0001528276,0.01503252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001974663,"threshold_uncertainty_score":0.006605923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01843534739624948,"score_gpt":0.2470890965637639,"score_spread":0.2286537491675144,"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."}}