{"id":"W4404146462","doi":"10.1039/d4tb01579g","title":"Nano-bio interactions of Gum Arabic-stabilized lanthanide-based upconverting nanoparticles: <i>in vitro</i> and <i>in vivo</i> study","year":2024,"lang":"en","type":"article","venue":"Journal of Materials Chemistry B","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Health Canada; University of Ottawa","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Ontario Research Foundation; University of Ottawa","keywords":"Lanthanide; In vivo; Materials science; Nanoparticle; Arabic; Nano-; In vitro; Nanotechnology; Gum arabic; Chemical engineering; Chemistry; Composite material; Organic chemistry; Engineering; Biochemistry; Biology; Biotechnology","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":[0.0001634985,0.0003212102,0.0001711782,0.0001590351,0.0001469167,0.0001815093,0.0001855147,0.0002666309,0.001142069],"category_scores_gemma":[0.0001682696,0.0001246567,0.0001924685,0.00009526209,0.0002134915,0.0001325696,0.0001395878,0.0002464306,0.000315664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002668196,"about_ca_system_score_gemma":0.0001280955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001924275,"about_ca_topic_score_gemma":0.001812621,"domain_scores_codex":[0.999926,0.00001032696,0.000005061308,0.00002237266,0.00002106848,0.00001527577],"domain_scores_gemma":[0.9999044,0.00003257695,0.00002180976,0.000008102294,0.00002187607,0.00001114219],"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":[0.00003773461,0.000008477361,0.00003772978,0.00002325824,0.0000024526,0.00003182115,0.000020819,0.0001483155,0.998938,0.00003440608,0.00002987907,0.0006870076],"study_design_scores_gemma":[0.000001971039,0.00006797724,0.0003821006,0.000001657307,0.000005178303,0.00002475432,0.00001076791,0.0007486641,0.9983133,0.00001163576,0.0004282413,0.000003545181],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921492,0.0008882865,0.003533921,0.00006182794,0.00002520351,0.00003235651,0.0001751073,0.0001077284,0.003026247],"genre_scores_gemma":[0.9928811,0.0004541586,0.003094523,0.00004464467,0.000006425464,0.00003520056,0.0001127738,0.00003667173,0.003334629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001924275,"threshold_uncertainty_score":0.003826141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00797139766682476,"score_gpt":0.2257438579121284,"score_spread":0.2177724602453036,"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."}}