{"id":"W3044044172","doi":"10.1016/j.sintl.2020.100025","title":"Protein corona-enabled serological tests for early stage cancer detection","year":2020,"lang":"en","type":"article","venue":"Sensors International","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Associazione Italiana per la Ricerca sul Cancro","keywords":"Nanotechnology; Cancer; Stage (stratigraphy); Cancer detection; Nanoparticle; Computational biology; Computer science; Biology; Materials science; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004492005,0.0001161392,0.0001096891,0.00003794702,0.0000447894,0.00004428883,0.00009416954,0.00009956179,0.0003031783],"category_scores_gemma":[0.00008306029,0.0001073485,0.00007760705,0.00008865297,0.00002280192,0.0000905831,0.00001526627,0.0001591749,0.0000483046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007736068,"about_ca_system_score_gemma":0.000006308045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003089232,"about_ca_topic_score_gemma":0.00003473241,"domain_scores_codex":[0.999305,0.00001160133,0.0001668423,0.0001873285,0.0001598441,0.0001694233],"domain_scores_gemma":[0.9997178,0.00002959808,0.00002773949,0.00005374287,0.00008357303,0.00008753426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005559938,0.00006489083,0.002317542,0.0001690173,0.0003649671,0.00002288121,0.0002708874,0.07415587,0.8900284,0.001773875,0.001373869,0.02890181],"study_design_scores_gemma":[0.0007502278,0.0002039916,0.01089661,0.00002033567,0.00001795285,0.000003050937,0.00003014375,0.7876294,0.1647748,0.0003084133,0.03510563,0.000259503],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846017,0.00002033702,0.0122486,0.001007838,0.0004562845,0.0002794841,0.0000825259,0.0003157038,0.0009875569],"genre_scores_gemma":[0.9977702,0.00001318765,0.0004547627,0.0001761732,0.0005485655,0.00006430375,0.000008052996,0.00002292108,0.0009418091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7252536,"threshold_uncertainty_score":0.4377546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02854239448925459,"score_gpt":0.257297392852528,"score_spread":0.2287549983632734,"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."}}