{"id":"W2313614502","doi":"10.1021/am504456t","title":"The Effect of Layer-by-Layer Assembly Coating on the Proliferation and Differentiation of Neural Stem Cells","year":2014,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital Research Institute of Manitoba; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Science and Technology of the People's Republic of China; Canadian Institutes of Health Research; National Science Council; Government of Canada; Canadian Stroke Network","keywords":"Neural stem cell; Materials science; Gelatin; Polyelectrolyte; Cell growth; Layer by layer; Growth factor; Chitosan; Nanotechnology; Viability assay; Cell; Coating; Neural tissue engineering; Stem cell; Cellular differentiation; Biophysics; Cell biology; Layer (electronics); Chemistry; Biology; Biochemistry; Regeneration (biology); Polymer; Receptor","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":[0.0001232182,0.0003635722,0.0001353897,0.0001340991,0.00009368218,0.0001835984,0.0001382427,0.00019396,0.0003922108],"category_scores_gemma":[0.0001603803,0.0001859747,0.0002240172,0.00009375904,0.0001229546,0.0001578626,0.0001310652,0.0002505912,0.0001665131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001850669,"about_ca_system_score_gemma":0.0001255686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007044395,"about_ca_topic_score_gemma":0.001196412,"domain_scores_codex":[0.9998988,0.00001421712,0.00001052383,0.00002123481,0.00003210108,0.00002319537],"domain_scores_gemma":[0.9999018,0.00002398322,0.00003564093,0.000009367758,0.00001388054,0.00001545378],"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":[0.00001960944,0.000007184325,0.00004408868,0.00002342908,0.000003990222,0.00001266378,0.000007355257,0.00004328787,0.9991334,0.00001202378,0.000009025078,0.0006837614],"study_design_scores_gemma":[0.000001947449,0.00006957977,0.0007389704,0.000001453091,0.00001079463,0.00002347474,0.000002704106,0.0004466139,0.9984073,0.000002238958,0.0002928641,0.000002094745],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992408,0.001965539,0.004278025,0.00003833802,0.00003054146,0.00002447066,0.00008529591,0.0000936728,0.001076123],"genre_scores_gemma":[0.9932263,0.0009215001,0.004734819,0.00003096039,0.000006777358,0.00001889161,0.00009078467,0.0000193153,0.0009506519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007044395,"threshold_uncertainty_score":0.001400709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01475058032174333,"score_gpt":0.2507280205184753,"score_spread":0.2359774401967319,"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."}}