{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001491158,0.0002609369,0.0002560831,0.0001380292,0.00008258874,0.00007747097,0.0001466321,0.0003381331,0.004162043],"category_scores_gemma":[0.00001499029,0.0002534189,0.0001983126,0.0001667423,0.00001859447,0.00005109928,0.0002070386,0.001185577,0.0001212533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003135458,"about_ca_system_score_gemma":0.00001713747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006485186,"about_ca_topic_score_gemma":0.0002325863,"domain_scores_codex":[0.998875,0.00004167223,0.0002517282,0.0003542107,0.0002254019,0.000251974],"domain_scores_gemma":[0.9995167,0.00002444954,0.00003964368,0.0002970052,0.00003565777,0.00008654712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007642977,0.0002785952,0.001361154,0.001519783,0.001322198,0.00004869886,0.0004888925,0.4470438,0.1064513,0.0002854851,0.008876245,0.4322473],"study_design_scores_gemma":[0.0003673659,0.00005234553,0.008786163,0.00006031188,0.0001065237,0.000002968979,0.00004949065,0.9288024,0.03204176,0.0003369971,0.02862616,0.0007674808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5280026,0.001631658,0.3958832,0.0002642137,0.01242529,0.001450272,0.0003017318,0.006673309,0.05336772],"genre_scores_gemma":[0.9882794,0.0002353966,0.001308422,0.0000455608,0.0003622623,0.0002537183,0.00001480766,0.00007719409,0.009423262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4817586,"threshold_uncertainty_score":0.9999918,"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."}}