{"id":"W4404687144","doi":"10.1021/acsnano.4c12306","title":"QBox: An Automated Portable System for Multiplex Quantum Dot Barcode Diagnostics","year":2024,"lang":"en","type":"article","venue":"ACS Nano","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; Public Health Ontario; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario; Canada Research Chairs; NanoMedicines Innovation Network; Canadian Institutes of Health Research; University of Toronto","keywords":"Barcode; Multiplex; Quantum dot; Nanotechnology; Materials science; Optoelectronics; Computer science; Bioinformatics","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":[0.001527525,0.001273328,0.000958606,0.001758943,0.0004852323,0.0008404852,0.002405533,0.001320778,0.01516299],"category_scores_gemma":[0.001633942,0.0008332768,0.0005658487,0.0006928477,0.0005520349,0.001068334,0.00145213,0.000936211,0.008427151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006223959,"about_ca_system_score_gemma":0.001047559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001117814,"about_ca_topic_score_gemma":0.001165897,"domain_scores_codex":[0.9980556,0.0001957399,0.0001045987,0.0004531103,0.001052118,0.0001389372],"domain_scores_gemma":[0.9990532,0.0002119423,0.0001483471,0.0001563798,0.0003221153,0.0001078931],"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":[0.001139944,0.0004545614,0.004861863,0.0006894549,0.0001428254,0.0005345879,0.0002113326,0.001251351,0.7474926,0.002397682,0.04218388,0.1986399],"study_design_scores_gemma":[0.0002813495,0.001331302,0.006522113,0.0001480847,0.0001481272,0.002289247,0.00005556429,0.04671212,0.7905614,0.001129271,0.1504522,0.0003691613],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07761777,0.001683114,0.8111518,0.0007312175,0.001015548,0.003007637,0.008145136,0.08686799,0.009779767],"genre_scores_gemma":[0.2632579,0.001388796,0.6821808,0.002253778,0.0004161581,0.003694225,0.009378876,0.002956999,0.03447255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01516299,"threshold_uncertainty_score":0.05072528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0134320944786818,"score_gpt":0.2499597900371532,"score_spread":0.2365276955584714,"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."}}