{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001849781,0.0003826071,0.0002100731,0.0004019634,0.0002300628,0.0003851173,0.0002178739,0.0003001152,0.0007615421],"category_scores_gemma":[0.000212623,0.0001719931,0.0001003424,0.0002941595,0.0002195812,0.0002276464,0.0002362833,0.0005722722,0.0003591779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002289367,"about_ca_system_score_gemma":0.0002000323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003704496,"about_ca_topic_score_gemma":0.0009170238,"domain_scores_codex":[0.9997727,0.00002735377,0.00001396136,0.00005536179,0.00008525044,0.00004535871],"domain_scores_gemma":[0.9997198,0.00008416026,0.00006547723,0.00001781634,0.00005121831,0.00006148114],"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":[0.0000155798,0.000006954346,0.0001177792,0.00001245833,6.870405e-7,0.000007207986,0.00001238074,0.00002012873,0.9985626,0.00005953103,0.00001557538,0.001169146],"study_design_scores_gemma":[0.000003636587,0.00004763078,0.002509688,0.000003219203,0.000003135583,0.00004428539,0.00001536119,0.0009485277,0.9953178,0.0000326478,0.001070412,0.000003614473],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9403222,0.001526083,0.05139439,0.00009419106,0.00009033403,0.0001538643,0.0003459317,0.0002063525,0.005866589],"genre_scores_gemma":[0.9343155,0.001716466,0.0565988,0.0000887453,0.00003902465,0.0002239759,0.0005977608,0.00006431156,0.006355456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007615421,"threshold_uncertainty_score":0.002547622,"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."}}