{"id":"W2785927793","doi":"10.1007/s41664-018-0047-7","title":"Recent Advances in Graphene Quantum Dots as Bioimaging Probes","year":2018,"lang":"en","type":"article","venue":"Journal of Analysis and Testing","topic":"Carbon and Quantum Dots Applications","field":"Materials Science","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Nanotechnology; Quantum dot; Graphene; Biocompatibility; Materials science; Computer science","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":[0.0007417139,0.00007151435,0.0002366002,0.0003849812,0.000102112,0.00008432647,0.00009947703,0.00001508164,0.00007568125],"category_scores_gemma":[0.0003032624,0.00005284229,0.00006022628,0.001293975,0.0000887831,0.0002854363,0.00002801967,0.00007506022,0.000004784067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001440506,"about_ca_system_score_gemma":0.00003494212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007688421,"about_ca_topic_score_gemma":0.0001262486,"domain_scores_codex":[0.999105,0.00003640771,0.0004166247,0.0001311146,0.0001724576,0.0001383787],"domain_scores_gemma":[0.9990878,0.0001105965,0.0003749008,0.00009234773,0.0002665023,0.00006792407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004781917,0.0001894715,0.2136582,0.00002567417,0.0001000516,0.00003082401,0.000648711,0.0002771495,0.6064908,0.003454949,0.00003280757,0.1750436],"study_design_scores_gemma":[0.002369986,0.00150163,0.591538,0.0007919992,0.002483333,0.0005814071,0.002870246,0.07784344,0.2431277,0.04101669,0.0346722,0.001203425],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946727,0.003137522,0.0008248427,0.0003546703,0.00006286991,0.00003133534,9.668969e-7,0.000008581131,0.0009064849],"genre_scores_gemma":[0.9944185,0.001690467,0.003694865,0.00006566173,0.0001186667,0.000001257472,3.192018e-7,0.000003997206,0.000006272254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3778798,"threshold_uncertainty_score":0.2154846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02312743227719931,"score_gpt":0.3040762452513533,"score_spread":0.280948812974154,"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."}}