{"id":"W2086887913","doi":"10.1002/jccs.201200358","title":"Fabrication of 105Y, Alpha 1‐Anti Trypsin Peptide Conjugated Hybrid Nanoparticles for Biological Applications","year":2013,"lang":"en","type":"article","venue":"Journal of the Chinese Chemical Society","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Beef Cattle Research Council; National Science Council","keywords":"Chemistry; Conjugated system; Peptide; Nanoparticle; Cytotoxicity; Trypsin; Magnetic nanoparticles; Cell culture; Cell; Nanotechnology; Combinatorial chemistry; Biophysics; Enzyme; Biochemistry; Organic chemistry; In vitro; Polymer; Materials science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001720466,0.0002877366,0.0001993766,0.0001693701,0.0001370256,0.0002420638,0.000227457,0.0003991049,0.0005373209],"category_scores_gemma":[0.0001288926,0.0002236824,0.0001659856,0.00009827974,0.0001226148,0.000179132,0.0001420284,0.0002440499,0.0003710089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002144724,"about_ca_system_score_gemma":0.00009989973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001823483,"about_ca_topic_score_gemma":0.0003828309,"domain_scores_codex":[0.9999073,0.00001004402,0.00000856199,0.00003114205,0.0000307663,0.000012247],"domain_scores_gemma":[0.9999409,0.00001146476,0.00001277407,0.000007829743,0.00001817212,0.000008961627],"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":[0.00001046149,0.000004857345,0.00003282295,0.00001863298,0.000002201103,0.00001793638,0.000007401786,0.00007244712,0.9989851,0.00005566528,0.00002417184,0.0007682846],"study_design_scores_gemma":[0.000006393966,0.00006729955,0.0004481749,0.000003031463,0.000007905386,0.0000998035,0.000009932991,0.00169466,0.9959036,0.00002477936,0.001730559,0.000003954414],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9401419,0.001723445,0.05333643,0.0001302296,0.0001059709,0.0001389898,0.0002178507,0.00028852,0.003916583],"genre_scores_gemma":[0.9451419,0.0005384031,0.04859734,0.00008515621,0.00001490232,0.0001699859,0.0003127556,0.00004742632,0.005092124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005373209,"threshold_uncertainty_score":0.001797497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009260537863014943,"score_gpt":0.2670302506425131,"score_spread":0.2577697127794981,"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."}}