{"id":"W2508714251","doi":"10.1109/plasma.2016.7534241","title":"Selective plasma activation of surfaces for biosensing application","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Biosensor; Biomolecule; Analyte; Nanotechnology; Materials science; Chemistry; Chromatography","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":[0.0002923632,0.000602848,0.0002628215,0.0003497687,0.0003034539,0.0004224918,0.0004977531,0.0008723019,0.003245812],"category_scores_gemma":[0.0003730596,0.000294106,0.000328274,0.0002603793,0.0002093734,0.0005114417,0.0005235695,0.0007071852,0.001932672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002659431,"about_ca_system_score_gemma":0.0001852462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001283946,"about_ca_topic_score_gemma":0.0001775481,"domain_scores_codex":[0.9996461,0.00004506341,0.00001310572,0.00006516536,0.0001591707,0.000071375],"domain_scores_gemma":[0.9998473,0.00004087203,0.00001922178,0.00001918603,0.00006153215,0.00001193366],"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":[0.00003198084,0.000009428075,0.00009921796,0.0001397381,0.000005316859,0.00008060112,0.00004539381,0.00007509362,0.9900644,0.0004780671,0.0006423385,0.008328333],"study_design_scores_gemma":[0.000007061052,0.00008432653,0.0006167215,0.0000111807,0.000007041578,0.000270719,0.00003679543,0.001034497,0.9808843,0.0003003074,0.01674081,0.000006264091],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7266471,0.02852323,0.1787062,0.002688735,0.001285721,0.0005931265,0.0009257612,0.002739473,0.0578906],"genre_scores_gemma":[0.9344596,0.006402784,0.03952704,0.0008755926,0.000146046,0.0003227879,0.0006864348,0.0002183559,0.01736136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003245812,"threshold_uncertainty_score":0.0108583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008885260558980401,"score_gpt":0.2708469778548007,"score_spread":0.2619617172958203,"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."}}