{"id":"W2332600054","doi":"10.1021/am502209k","title":"Cell Division Orientation on Biospecific Peptide Gradients","year":2014,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Molecular Junctions and Nanostructures","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Carolina Center of Cancer Nanotechnology Excellence, University of North Carolina - Chapel Hill; Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; Burroughs Wellcome Fund; National Science Foundation","keywords":"Cell division; Cell; Biophysics; Microfluidics; Division (mathematics); Materials science; Peptide; Extracellular matrix; Nanotechnology; Cell biology; Chemistry; Biology; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009732203,0.0001797389,0.0001620417,0.00008810999,0.00007278295,0.0001094616,0.0001349577,0.00007436171,0.000248541],"category_scores_gemma":[0.000005492778,0.0001553872,0.00001100834,0.00007517706,0.00002230824,0.00004820442,0.00003369177,0.0000612988,0.0003755486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002828087,"about_ca_system_score_gemma":0.000001848841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007760692,"about_ca_topic_score_gemma":0.000001439815,"domain_scores_codex":[0.9992192,0.00001894533,0.0002179615,0.0002181453,0.000135967,0.0001897263],"domain_scores_gemma":[0.9996372,0.00002064513,0.00004613187,0.0002449145,0.00001562684,0.00003546995],"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":[0.00002122501,0.00001413504,0.000007307938,0.00003451084,0.00001006918,3.692992e-7,0.0001023375,0.001318389,0.9924481,0.001470573,0.002809354,0.001763652],"study_design_scores_gemma":[0.0002651299,0.00006552575,0.0005955298,0.00001768342,0.00000957704,6.20154e-7,0.00003822803,0.00001125314,0.9952773,0.0007105228,0.002840296,0.0001682926],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887575,0.00003388186,0.0006852277,0.000008443839,0.00144336,0.0001675996,0.0000184554,0.0001937608,0.008691786],"genre_scores_gemma":[0.9993588,0.00003090267,0.0002370096,0.00004120126,0.0001007008,0.00002845729,0.00004048388,0.00003880617,0.0001236012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01060135,"threshold_uncertainty_score":0.6336505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004836708035207066,"score_gpt":0.1894009373770647,"score_spread":0.1845642293418577,"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."}}