{"id":"W4311922486","doi":"10.32920/21751589","title":"OncoProfiler - A Multi-Cancer Early Detection (MCED) Assay","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Toronto Metropolitan University; Interface Biologics (Canada)","funders":"","keywords":"Buffy coat; Cancer; Cancer detection; Nanosensor; Medicine; Cancer research; Computational biology; Nanotechnology; Internal medicine; Biology; Materials science; Immunology","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":[0.0007337574,0.0009263186,0.0004424731,0.0007357162,0.0002438191,0.000725957,0.0005434011,0.001025332,0.002831996],"category_scores_gemma":[0.000941717,0.0004046768,0.0003565632,0.0004738118,0.0004496739,0.0005773779,0.0007347297,0.0008632055,0.001167513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003513637,"about_ca_system_score_gemma":0.0003127863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000311679,"about_ca_topic_score_gemma":0.0006453481,"domain_scores_codex":[0.9985296,0.0001804176,0.00005840506,0.0004164469,0.0007001489,0.0001149209],"domain_scores_gemma":[0.9995056,0.0001667048,0.00008661993,0.00008168164,0.0001118416,0.00004742462],"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":[0.0001379901,0.00004666356,0.0006332439,0.0001320848,0.00001796053,0.0001145691,0.00005111089,0.0003308138,0.9769867,0.0006463879,0.001116013,0.01978647],"study_design_scores_gemma":[0.000007896612,0.0001327117,0.0008814224,0.000006642896,0.00001234638,0.0003778168,0.00001166382,0.001714686,0.9895797,0.00009204774,0.00716589,0.00001710469],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4920552,0.008453751,0.4537397,0.001044816,0.0006772094,0.0007499778,0.003731311,0.006705828,0.03284219],"genre_scores_gemma":[0.6716443,0.002891499,0.2735417,0.0005211096,0.00009116415,0.0005576424,0.003356907,0.0004024128,0.04699317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002831996,"threshold_uncertainty_score":0.009473979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02420722799391879,"score_gpt":0.2596168961339672,"score_spread":0.2354096681400484,"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."}}