{"id":"W4302007561","doi":"10.1016/j.matt.2022.07.031","title":"Emerging carbon-supported single-atom catalysts for biomedical applications","year":2022,"lang":"en","type":"article","venue":"Matter","topic":"Advanced Nanomaterials in Catalysis","field":"Materials Science","cited_by":125,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; China University of Geosciences, Wuhan; National Natural Science Foundation of China","keywords":"Nanotechnology; Biocompatibility; Biosafety; Carbon Nanoparticles; Carbon fibers; Materials science; Biochemical engineering; Engineering; Biotechnology; Nanoparticle; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003700719,0.0005352463,0.0002931064,0.0004523898,0.0002238607,0.001089871,0.0009315711,0.001642452,0.003034394],"category_scores_gemma":[0.0004949218,0.0001943626,0.0002117371,0.0002686055,0.0003774056,0.0008240867,0.0004989785,0.0007953198,0.001354085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000495706,"about_ca_system_score_gemma":0.0004031232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003661177,"about_ca_topic_score_gemma":0.00132927,"domain_scores_codex":[0.999813,0.00001798436,0.000008605541,0.00003397645,0.00008607852,0.0000403761],"domain_scores_gemma":[0.9998329,0.00004689233,0.00001665469,0.0000114592,0.00005954074,0.0000324452],"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":[0.000230038,0.0001171231,0.0005877222,0.001012405,0.00005490925,0.0004639514,0.00007029151,0.0005946492,0.8855785,0.01872255,0.007807793,0.08476017],"study_design_scores_gemma":[0.00002999149,0.0002309909,0.0009109846,0.00006329828,0.0000346795,0.0005900968,0.00008258344,0.005549085,0.9120867,0.004894478,0.07551175,0.00001538298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5425586,0.2667922,0.07665262,0.01232933,0.004288509,0.0002088437,0.001146878,0.001066385,0.09495661],"genre_scores_gemma":[0.9169626,0.03795088,0.02383984,0.001066214,0.0005708933,0.00005788171,0.0008795409,0.0001067367,0.01856538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003034394,"threshold_uncertainty_score":0.01015103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01317885317896421,"score_gpt":0.2668347831692257,"score_spread":0.2536559299902615,"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."}}