{"id":"W4284673114","doi":"10.1039/d2lc00388k","title":"Highly accurate multiprotein detection on a digital ELISA platform","year":2022,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Jiangsu Provincial Key Research and Development Program; Project on Maternal and Child Health Talents of Jiangsu Province","keywords":"Multiprotein complex; Computer science; Computational biology; Biology; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.00009286261,0.0001454983,0.0001058333,0.00006391139,0.000205363,0.00003725311,0.000124178,0.00006793863,0.000005483804],"category_scores_gemma":[0.000056148,0.0001257204,0.0001014502,0.0001365188,0.00003033523,0.000004515432,0.0001030689,0.0001700252,0.00001068726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004126602,"about_ca_system_score_gemma":0.00001490053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008278802,"about_ca_topic_score_gemma":0.00001491835,"domain_scores_codex":[0.9991431,0.00002773081,0.0001365358,0.0003360909,0.0001756641,0.0001808401],"domain_scores_gemma":[0.999538,0.000009962016,0.00008369347,0.0002986889,0.00002478064,0.00004487866],"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":[0.0005800959,0.0001748863,0.0000754979,0.00000420305,0.00004507434,0.00001036804,0.0000192553,0.0001179631,0.9319297,0.00009116172,0.0004181173,0.06653365],"study_design_scores_gemma":[0.0003346655,0.0010503,0.0001992672,0.000006365422,0.000007770692,0.00001192951,0.0000489167,0.0001724908,0.9440951,0.0001428984,0.05373765,0.0001926109],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968932,0.00002196043,0.000531287,0.0001383501,0.00007804012,0.0001704315,0.00007787104,0.00008633942,0.002002531],"genre_scores_gemma":[0.9976577,0.00001235768,0.0002308074,0.0006960605,0.0001274561,0.00004005333,0.0001577862,0.00001965842,0.001058078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06634104,"threshold_uncertainty_score":0.5126727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01191132609083388,"score_gpt":0.2522677858359743,"score_spread":0.2403564597451404,"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."}}