{"id":"W1834676530","doi":"10.3390/s151026236","title":"Protein Adsorption in Microengraving Immunoassays","year":2015,"lang":"en","type":"article","venue":"Sensors","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"Adsorption; Chemistry; Chromatography; Computational biology; Biology; Organic chemistry","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":[0.0001032535,0.00006858635,0.0000550599,0.00002735406,0.00001457634,0.000007682451,0.00006234326,0.00007071601,8.510811e-7],"category_scores_gemma":[0.00004405324,0.00006841782,0.00002449967,0.00007545113,0.00002959247,0.000001332671,0.00003960993,0.00005855805,0.00001027671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001854995,"about_ca_system_score_gemma":0.00002072126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002982952,"about_ca_topic_score_gemma":0.00003024957,"domain_scores_codex":[0.9995375,0.00002391438,0.0001011458,0.0001651112,0.00004749805,0.0001248469],"domain_scores_gemma":[0.9996804,0.000001569207,0.00003372502,0.0002041676,0.00004319202,0.00003693189],"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":[0.0000167842,0.0000191744,0.0002005957,0.000001727314,0.00000182666,0.000001137048,0.00001918956,0.00008720489,0.9979005,0.0002398337,0.0002902471,0.001221768],"study_design_scores_gemma":[0.0002608264,0.00007708069,0.0004886287,0.00001723757,0.000001842839,0.0000142014,0.0001072773,0.0001867198,0.9548213,0.001277231,0.04260986,0.000137757],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973565,0.00008663807,0.001177011,0.0001946915,0.00002021973,0.0001893681,0.000003168337,0.00002792635,0.0009444195],"genre_scores_gemma":[0.9870719,0.00001485691,0.01210742,0.00005357624,0.00005819294,0.00001657321,0.00003941466,0.00001194955,0.0006261574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04307918,"threshold_uncertainty_score":0.2789997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01699273628819686,"score_gpt":0.272411964990925,"score_spread":0.2554192287027281,"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."}}