{"id":"W2972586682","doi":"10.1002/admt.201900478","title":"Reproducible and Scalable Generation of Multilayer Nanocomposite Constructs for Ultrasensitive Nanobiosensing","year":2019,"lang":"en","type":"article","venue":"Advanced Materials Technologies","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Iran University of Science and Technology; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; University of Calgary","keywords":"Materials science; Nanotechnology; Nanosensor; Nanomaterials; Microfluidics; Nanocomposite; Electrode; Lab-on-a-chip; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001731017,0.0001703444,0.0003030828,0.00007965759,0.00006534251,0.00001948551,0.00007750324,0.0001965667,6.315033e-7],"category_scores_gemma":[0.0002090816,0.0001491082,0.00004499217,0.00009162246,0.0002081155,0.00001343523,0.00009900435,0.00003355463,6.712227e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009570158,"about_ca_system_score_gemma":0.00001652528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004717686,"about_ca_topic_score_gemma":0.000003906353,"domain_scores_codex":[0.9988992,0.00002171606,0.0002759501,0.0005447918,0.00006274639,0.0001955593],"domain_scores_gemma":[0.9990837,0.0000203164,0.0002163679,0.0004699776,0.0001957231,0.00001392567],"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":[0.000109444,0.00001582844,0.0001417004,0.00004646261,0.00003188684,5.207201e-7,0.00000620583,0.00001416017,0.9910023,0.0001537104,0.00004271597,0.008435131],"study_design_scores_gemma":[0.0003889023,0.0002803495,0.00005445033,0.00004859956,0.00002215866,0.00002180459,0.0001643045,0.00002798733,0.9978513,0.0003146524,0.0006326419,0.0001928407],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976276,0.0002813286,0.001068027,0.00009658299,0.0001225789,0.0005306431,0.00008079306,0.0001567566,0.00003570483],"genre_scores_gemma":[0.8957104,0.0003500124,0.1036412,0.00002905212,0.00002754259,0.00001390824,0.0001151925,0.00001795029,0.00009472277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1025732,"threshold_uncertainty_score":0.6080456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01121477073209092,"score_gpt":0.2599758323517909,"score_spread":0.2487610616197,"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."}}