{"id":"W7132952087","doi":"","title":"Engineering Nanoparticles for Multiplexed Point-of-Care and Clinical Diagnostics","year":2024,"lang":"","type":"dissertation","venue":"TSpace","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute","funders":"","keywords":"Multiplexing; Nucleic acid detection; Modular design; Oligonucleotide; Barcode; Molecular diagnostics; Interrogation","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":[0.000701778,0.0005475294,0.0003042824,0.0004133582,0.0002437085,0.001050809,0.000491518,0.001164952,0.001414481],"category_scores_gemma":[0.0009263588,0.0004928605,0.0004900126,0.0001980588,0.0004023686,0.0007579987,0.0007816219,0.001014186,0.001090769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000621929,"about_ca_system_score_gemma":0.0003711852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002600019,"about_ca_topic_score_gemma":0.0005038994,"domain_scores_codex":[0.9993913,0.00009598675,0.00003528045,0.000187703,0.0002121817,0.00007758653],"domain_scores_gemma":[0.999684,0.000089703,0.00008469921,0.00002853019,0.00008325361,0.00002980043],"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":[0.00005689024,0.00009499615,0.0004951176,0.0004488167,0.00004187417,0.0001809674,0.0001371902,0.00254012,0.9349636,0.008651341,0.003204561,0.04918444],"study_design_scores_gemma":[0.00002450954,0.0003456817,0.0004470713,0.00006590426,0.00003315391,0.0003288927,0.0000536529,0.01251958,0.9406354,0.002180977,0.04332025,0.0000447874],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2611789,0.01654256,0.6773238,0.003787163,0.002018987,0.001444985,0.0007730291,0.002572485,0.03435824],"genre_scores_gemma":[0.552416,0.008006506,0.4154314,0.001810964,0.0002551643,0.001527614,0.0005546724,0.00022032,0.01977736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001414481,"threshold_uncertainty_score":0.004731894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01682416713715985,"score_gpt":0.3290254469519822,"score_spread":0.3122012798148223,"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."}}