{"id":"W2125221134","doi":"10.1002/smll.201000909","title":"Quantum‐Dot‐Encoded Microbeads for Multiplexed Genetic Detection of Non‐amplified DNA Samples","year":2010,"lang":"en","type":"article","venue":"Small","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Quantum dot; DNA; Multiplexing; Nanotechnology; Microbead (research); Materials science; Optoelectronics; Genetics; Biology; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001414545,0.0001587702,0.0001925139,0.00006253017,0.00007344873,0.0000121248,0.0001569575,0.0002292827,0.000001245092],"category_scores_gemma":[0.0001451763,0.000142333,0.0001769245,0.00008429171,0.0001100846,0.000001791785,0.00004944791,0.00008931988,0.000001002117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005839233,"about_ca_system_score_gemma":0.00003159233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004926326,"about_ca_topic_score_gemma":0.0007866932,"domain_scores_codex":[0.9991031,0.00002009323,0.0002606244,0.0003416139,0.00006015235,0.0002144282],"domain_scores_gemma":[0.999204,0.00002374161,0.0001514289,0.0003902799,0.0001780738,0.00005246075],"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":[0.0001036475,0.00004852882,0.0003232425,0.00002352925,0.00003758564,4.05112e-7,0.00001102904,0.000004449199,0.9903321,0.00001275603,0.00005288127,0.009049825],"study_design_scores_gemma":[0.0003929988,0.0002552639,0.001590763,0.000008104767,0.00004346607,0.00001124405,0.0000224135,0.0003327364,0.9912218,0.0002141752,0.005720722,0.0001863132],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9417707,0.00004931866,0.05764717,0.00002811036,0.0001268128,0.0002614519,0.00004879486,0.0000325017,0.00003513013],"genre_scores_gemma":[0.9128691,0.00003524118,0.08659913,0.00006044088,0.0001714137,0.00002302371,0.00009885999,0.00002287892,0.0001199396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02895196,"threshold_uncertainty_score":0.5804173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01620317909624178,"score_gpt":0.2656325204869466,"score_spread":0.2494293413907048,"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."}}