{"id":"W7132978663","doi":"","title":"Point-of-care Detection Platforms for Metabolic Biomarker and Infectious Disease","year":2023,"lang":"","type":"dissertation","venue":"TSpace","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Infectious disease (medical specialty); Outbreak; Disease; Pandemic; Biomarker; Disease monitoring","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":[0.0004087301,0.000624759,0.0003635007,0.0005368848,0.0003452287,0.0009358271,0.0006186722,0.0009536666,0.006071776],"category_scores_gemma":[0.0004632839,0.0002821556,0.0004318126,0.0004320096,0.0002361901,0.0006014683,0.0005532354,0.001153248,0.003878168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003884814,"about_ca_system_score_gemma":0.0004735168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002425925,"about_ca_topic_score_gemma":0.0005398649,"domain_scores_codex":[0.999651,0.00003356224,0.00001218722,0.00007814923,0.0001862166,0.00003887018],"domain_scores_gemma":[0.9998386,0.00003502841,0.0000209349,0.00001219331,0.00007475785,0.00001850094],"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":[0.00007467946,0.000145406,0.0003895592,0.00137538,0.00003068615,0.0001987819,0.000239873,0.0007628177,0.8733281,0.00713325,0.01226693,0.1040546],"study_design_scores_gemma":[0.00001634535,0.0004058301,0.0009242312,0.0001805405,0.00003258346,0.0003736822,0.0001481794,0.002361736,0.8327623,0.001359246,0.1614036,0.00003167976],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2114462,0.09539115,0.5189815,0.008589703,0.005252707,0.00169524,0.00286264,0.003195055,0.1525857],"genre_scores_gemma":[0.3923665,0.08655322,0.3011238,0.00279473,0.0006896695,0.001485057,0.002732786,0.0002762028,0.211978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006071776,"threshold_uncertainty_score":0.02031213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01396734795481271,"score_gpt":0.2889201531345894,"score_spread":0.2749528051797767,"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."}}