{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001758407,0.0001124905,0.0002164813,0.000009353525,0.0000637176,0.00001232275,0.0002705589,0.0001048357,0.00000240425],"category_scores_gemma":[0.0002392485,0.00006012878,0.0005102613,0.0001401254,0.0001980923,0.00000697646,0.00007704287,0.00010155,5.074201e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001906803,"about_ca_system_score_gemma":0.00002719443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000312114,"about_ca_topic_score_gemma":1.857487e-7,"domain_scores_codex":[0.9992116,0.00002730297,0.0003865179,0.000136943,0.0001106646,0.0001269395],"domain_scores_gemma":[0.9988381,0.00004298607,0.0004146835,0.0002094034,0.0004410708,0.00005373243],"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":[0.00001917415,0.00009489418,0.001575214,0.00001036939,0.00007973088,3.119227e-8,0.0000097273,0.000004706326,0.9913046,0.000007398246,0.006009522,0.0008846704],"study_design_scores_gemma":[0.000273778,0.000066119,0.001891429,0.00001152521,0.00003904262,0.00001711896,0.00002977726,0.0001561573,0.9939576,0.00153914,0.00193622,0.00008204727],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944564,0.0001815418,0.004003083,0.001071666,0.00002745359,0.0002210612,0.0000157523,0.000008175754,0.00001492534],"genre_scores_gemma":[0.9879446,0.00009984531,0.01139307,0.0002387887,0.0002286231,0.00001659662,0.00002350258,0.00000854178,0.00004645933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007389983,"threshold_uncertainty_score":0.245198,"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."}}