{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000902331,0.0006707781,0.0004963677,0.0008756183,0.0002029688,0.0006898295,0.001092447,0.0009549196,0.001598965],"category_scores_gemma":[0.001503922,0.0004245556,0.0002760779,0.0004074937,0.0003784948,0.000769818,0.0008166194,0.0008098315,0.001136421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005465887,"about_ca_system_score_gemma":0.0003351545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003771396,"about_ca_topic_score_gemma":0.0006758013,"domain_scores_codex":[0.9986324,0.0002061713,0.00008360077,0.0003694399,0.0006271314,0.00008134446],"domain_scores_gemma":[0.9992944,0.0002487394,0.0001060373,0.00009394692,0.0002026517,0.00005423357],"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":[0.00004854618,0.0000368198,0.0003710416,0.0001183061,0.00001442324,0.00004453523,0.00002231837,0.000488628,0.9785226,0.0005501063,0.0005240034,0.01925871],"study_design_scores_gemma":[0.00002096385,0.0001610801,0.001247893,0.00001858538,0.00002421948,0.0003912764,0.00002089562,0.02508635,0.9639474,0.0003708783,0.008672485,0.00003817176],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1845363,0.003378472,0.8003512,0.0006080641,0.000539332,0.000383026,0.0008816675,0.003526843,0.005795178],"genre_scores_gemma":[0.3564835,0.001547798,0.6345324,0.0006308772,0.0001313437,0.000428867,0.0005140587,0.00007766388,0.00565343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001598965,"threshold_uncertainty_score":0.00534904,"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."}}