{"id":"W2474756640","doi":"10.1021/acs.chemrev.6b00030","title":"Energy Transfer with Semiconductor Quantum Dot Bioconjugates: A Versatile Platform for Biosensing, Energy Harvesting, and Other Developing Applications","year":2016,"lang":"en","type":"review","venue":"Chemical Reviews","topic":"Quantum Dots Synthesis And Properties","field":"Materials Science","cited_by":709,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"U.S. Naval Research Laboratory; British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Institut Universitaire de France; Defense Threat Reduction Agency; Michael Smith Health Research BC; Office of Naval Research; Canada Foundation for Innovation","keywords":"Nanotechnology; Bioconjugation; Quantum dot; Biosensor; Förster resonance energy transfer; Context (archaeology); Chemistry; Nanomaterials; Energy transfer; Fluorescence; Physics; Materials science; Chemical physics","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":[0.0002534281,0.0004157955,0.0002360969,0.0002823892,0.0002377316,0.0006480791,0.0002872014,0.0005061335,0.0006695479],"category_scores_gemma":[0.0001492841,0.0002127098,0.000236118,0.0002743914,0.0003509901,0.0003555591,0.0003898652,0.0004558312,0.0005568351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005847937,"about_ca_system_score_gemma":0.0002504089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004299747,"about_ca_topic_score_gemma":0.0007202928,"domain_scores_codex":[0.999881,0.00001548949,0.000008179415,0.00003256053,0.00004781658,0.00001483255],"domain_scores_gemma":[0.9999617,0.000008820754,0.000006058156,0.000005574662,0.0000106016,0.000007199015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004413402,0.0000311492,0.0001007713,0.0003669995,0.00001278939,0.0003110493,0.00008521638,0.001134896,0.9610989,0.01141173,0.001057838,0.02434452],"study_design_scores_gemma":[0.00001047689,0.0001742288,0.0005653171,0.00004129954,0.00002703337,0.000618754,0.00003227791,0.004079016,0.9051641,0.002721055,0.08654343,0.00002307746],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.5221318,0.1118002,0.2956898,0.004959967,0.001326557,0.0003201163,0.0006153186,0.002031197,0.06112508],"genre_scores_gemma":[0.8376744,0.04869761,0.08089609,0.001419885,0.0001547186,0.0001624109,0.0003718669,0.0001576493,0.03046538],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0006695479,"threshold_uncertainty_score":0.004243016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1038797923810742,"score_gpt":0.3084630225807383,"score_spread":0.204583230199664,"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."}}