{"id":"W2594573934","doi":"10.1021/acsami.6b15925","title":"Characterization of Calcium Phosphate Nanoparticles Based on a PEGylated Chelator for Gene Delivery","year":2017,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Nanoparticle; Materials science; Gene delivery; Chelation; Drug delivery; PEG ratio; Nanotechnology; Amorphous calcium phosphate; Particle size; Chemical engineering; Amorphous solid; Cytotoxicity; Calcium; Biophysics; Transfection; In vitro; Organic chemistry; Chemistry; 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":[0.0001700148,0.0001942552,0.0002489945,0.00002999406,0.0001724625,0.0001343697,0.0003706806,0.0001528775,0.00005491878],"category_scores_gemma":[0.00003497657,0.0001762095,0.00002999204,0.00001579787,0.00009559327,0.00001116059,0.000109663,0.00002887543,0.0000188936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009075166,"about_ca_system_score_gemma":0.00003833471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003683486,"about_ca_topic_score_gemma":0.000005948913,"domain_scores_codex":[0.9989962,0.00001900241,0.0003226846,0.0003432906,0.00009583007,0.0002229694],"domain_scores_gemma":[0.9989455,0.00001011002,0.0003545361,0.0005313173,0.0001202621,0.00003822249],"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":[0.001405756,0.0000715777,0.00004539052,0.00004610165,0.00005589277,5.236171e-7,0.0000326914,0.00002941622,0.9974592,0.00002821175,0.0001263884,0.0006988697],"study_design_scores_gemma":[0.0007471928,0.0004071421,0.001157552,0.0000403435,0.00003285117,6.621154e-7,0.00001784654,0.0000150056,0.9971591,0.00003126444,0.0001976631,0.0001934204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985133,0.00003396419,0.000172676,0.00006798837,0.0003420222,0.0004011482,0.0003269346,0.00001493927,0.0001270222],"genre_scores_gemma":[0.9988284,0.0000529407,0.000147945,0.000187533,0.0001393912,0.0001259272,0.0003092993,0.00003006112,0.0001784718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001112161,"threshold_uncertainty_score":0.7185617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01880188986937207,"score_gpt":0.2594170224360329,"score_spread":0.2406151325666609,"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."}}