{"id":"W2149631302","doi":"10.1002/anie.201003846","title":"Programmed Nanoparticle Aggregation Using Molecular Beacons","year":2010,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Beacon; Molecular beacon; Nanoparticle; Nanotechnology; Computer science; Chemistry; DNA; Materials science; Biochemistry; Telecommunications","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":[0.000483719,0.0003554434,0.0002570532,0.0002735503,0.000194187,0.0004583262,0.0004064423,0.0006250565,0.0009375933],"category_scores_gemma":[0.0005897473,0.0003207044,0.0003315105,0.000177735,0.0004490021,0.0006727787,0.0005355163,0.001019217,0.0005604521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003807503,"about_ca_system_score_gemma":0.0002338699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001791538,"about_ca_topic_score_gemma":0.0001854822,"domain_scores_codex":[0.9996462,0.00007838719,0.00002452323,0.00009394853,0.0001012082,0.00005573411],"domain_scores_gemma":[0.9997656,0.00008867167,0.00005470974,0.00002336768,0.00003835079,0.0000292665],"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":[0.00008792939,0.00002105179,0.00004805582,0.0000642763,0.000005346037,0.0000480282,0.00006973069,0.0001205914,0.994163,0.001060474,0.0002011357,0.004110444],"study_design_scores_gemma":[0.00001461577,0.0000724043,0.00009691815,0.000004189746,0.000004108364,0.0000426025,0.000005946844,0.0009726997,0.9964399,0.0001645082,0.002176102,0.00000593908],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8416577,0.004640372,0.1409902,0.0006710109,0.0005748719,0.0002306196,0.0002314465,0.001759022,0.009244687],"genre_scores_gemma":[0.9532136,0.001213583,0.03699984,0.0003507497,0.00005255722,0.0001419396,0.0001686832,0.00009476319,0.007764136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009375933,"threshold_uncertainty_score":0.003136516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01075894291272767,"score_gpt":0.2871202941616984,"score_spread":0.2763613512489707,"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."}}