{"id":"W2754572601","doi":"10.1002/anie.201708168","title":"Morphology‐Dependent Cell Imaging by Using a Self‐Assembled Diacetylene Peptide Amphiphile","year":2017,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Polydiacetylene-based materials and applications","field":"Chemistry","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"Diacetylene; Vesicle; HeLa; Biophysics; Amphiphile; Cell; Nanofiber; Cationic polymerization; Membrane; Fluorescence; Chemistry; Morphology (biology); Polymerization; Nanotechnology; Materials science; Biology; Copolymer; Polymer chemistry; Biochemistry; Organic chemistry; Polymer","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001577881,0.0002356474,0.0002001285,0.000048307,0.0004449888,0.0003190521,0.0006001957,0.0001288216,0.001647224],"category_scores_gemma":[0.00006280803,0.0002572359,0.0001150598,0.00002449121,0.00005518986,0.0004816796,0.0001826768,0.0001728159,0.00007963947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002801743,"about_ca_system_score_gemma":0.00006005242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003238477,"about_ca_topic_score_gemma":0.000007508645,"domain_scores_codex":[0.9985675,0.000009339656,0.0003225079,0.00044894,0.0003451176,0.0003065615],"domain_scores_gemma":[0.9986647,0.0000505148,0.0004516675,0.0005520756,0.0001590402,0.0001219982],"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":[0.00002176941,0.0001874258,0.0009359904,0.00003444894,0.00003905412,0.00001013097,0.00004131741,0.000009606901,0.9829205,0.00006229418,0.01557676,0.0001607004],"study_design_scores_gemma":[0.0009678357,0.000004349353,0.0001571149,0.00005774047,0.00005106594,0.00002728479,0.00005301796,0.0003038564,0.9832044,0.0003552232,0.01454827,0.0002698074],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9558945,0.0001498611,0.001690391,0.001537253,0.0009869429,0.0001047358,0.0007637581,0.0001879997,0.03868457],"genre_scores_gemma":[0.9950643,0.000161922,0.0006668795,0.0002313913,0.001983764,0.0001143336,0.0007737845,0.00004299132,0.0009606378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03916981,"threshold_uncertainty_score":0.999988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01408596778429939,"score_gpt":0.2669142905003457,"score_spread":0.2528283227160463,"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."}}