{"id":"W7132888356","doi":"","title":"CRISPR-based Diagnostics for the Rapid Identification of Invasive Fungal Pathogens and Antimicrobial Resistance Biomarkers","year":2025,"lang":"","type":"dissertation","venue":"TSpace","topic":"Antifungal resistance and susceptibility","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Echinocandin; Drug resistance; Invasive candidiasis; CRISPR; Antifungal; Candida infections; Antimicrobial; Antibiotic resistance; Infectious disease (medical specialty)","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":[0.0005313577,0.0004460768,0.0003006098,0.0005112842,0.0003092637,0.0007611521,0.0003044304,0.0006036976,0.005722978],"category_scores_gemma":[0.0005519134,0.0002042308,0.0004081797,0.0002589661,0.000313134,0.000383294,0.0006455471,0.0009943339,0.002453418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000429463,"about_ca_system_score_gemma":0.0006432441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003610078,"about_ca_topic_score_gemma":0.0008878443,"domain_scores_codex":[0.9995845,0.00007195301,0.0000192209,0.00008565192,0.0001929759,0.00004577181],"domain_scores_gemma":[0.9997837,0.00006610484,0.00004128558,0.00001859423,0.00005498849,0.00003544349],"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":[0.00006615304,0.0000734092,0.0004687119,0.0003377612,0.00001395715,0.00009101381,0.00009940944,0.000500107,0.9246913,0.00282138,0.00349855,0.06733827],"study_design_scores_gemma":[0.00002865957,0.000573619,0.003039032,0.000125565,0.00003977158,0.0004320783,0.0001349637,0.003235929,0.8858282,0.001541092,0.104974,0.00004706132],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4139607,0.04834087,0.3905041,0.00839758,0.002613782,0.001522057,0.005309139,0.005050278,0.1243015],"genre_scores_gemma":[0.5943322,0.03293784,0.2733951,0.002839708,0.000332349,0.0007622774,0.003487693,0.0003363917,0.09157638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005722978,"threshold_uncertainty_score":0.01914525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02333515146291307,"score_gpt":0.3325518975542815,"score_spread":0.3092167460913684,"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."}}