{"id":"W4394463524","doi":"10.6084/m9.figshare.20124224.v1","title":"Electrophoresis-assisted multilayer assembly of nanoparticles for sensitive lateral flow immunoassay. Raw data","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; University Health Network","funders":"","keywords":"Immunoassay; Raw data; Chromatography; Nanoparticle; Electrophoresis; Nanotechnology; Chemistry; Materials science; Computer science; Biology; Immunology; Antibody","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":[0.00006397519,0.0002598067,0.000377225,0.00009637162,0.00008424502,0.00004779125,0.0004162932,0.0002282426,0.05942791],"category_scores_gemma":[0.0003223255,0.0002579192,0.0001345163,0.0001787461,0.000006237182,0.00009044014,0.0002452216,0.0003599378,0.0001028795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007382726,"about_ca_system_score_gemma":0.00003210396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003133375,"about_ca_topic_score_gemma":0.00007084258,"domain_scores_codex":[0.9987847,0.00004559691,0.000315847,0.0003318479,0.0002086223,0.000313366],"domain_scores_gemma":[0.9988437,0.0001774386,0.00009388485,0.0007401737,0.00008609071,0.00005868929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000381364,0.00002858307,3.121519e-8,0.0005683733,0.0001563427,0.00001604125,0.000004205242,0.0004442545,0.01290947,8.040396e-8,0.9849163,0.000918203],"study_design_scores_gemma":[0.0002787115,0.00008375627,0.00009405116,0.0003407841,0.0001004382,0.000009454502,0.000006579835,0.06081722,0.02548814,0.000001349381,0.9124643,0.000315253],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001849741,0.0002418861,0.000001920718,0.000008884223,0.0001414007,0.0002782302,0.9990541,0.00008005785,0.000008545758],"genre_scores_gemma":[0.003791915,0.00003127608,0.00007035625,0.0000216221,0.0001137114,0.00009913839,0.9957919,0.00004568574,0.00003446548],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07245201,"threshold_uncertainty_score":0.9999873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04107722104450699,"score_gpt":0.2620401872150578,"score_spread":0.2209629661705508,"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."}}