{"id":"W2798260210","doi":"","title":"Synthesis of Highly Sensitive Graphene Nanocomposite for Biosensing Glial Fibrillary Acidic Protein (GFAP)","year":2018,"lang":"en","type":"article","venue":"CMBES Proceedings","topic":"Graphene and Nanomaterials Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Glial fibrillary acidic protein; Graphene; Biosensor; Nanocomposite; GFAP stain; Chemistry; Nanotechnology; Materials science; Biology; Immunology; Immunohistochemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0001387487,0.0002015757,0.0003005235,0.0001689188,0.0001449616,0.00004451786,0.0001118189,0.0001188899,0.000003059878],"category_scores_gemma":[0.00003491911,0.0002029177,0.0001125453,0.0003547991,0.0002113883,0.0001615306,0.00003449742,0.00003870512,0.00001382153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002317192,"about_ca_system_score_gemma":0.00001308647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002657958,"about_ca_topic_score_gemma":0.000003567487,"domain_scores_codex":[0.9990153,0.000004193562,0.0003224937,0.0002485271,0.0001172197,0.0002923147],"domain_scores_gemma":[0.9993501,0.00004372537,0.00009014193,0.000119062,0.0003280074,0.00006900159],"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":[0.00004812282,0.00001314496,0.0000669572,0.0002306472,0.00005993845,4.25443e-7,0.0002126317,0.000001491744,0.9950421,0.002699085,0.0006560729,0.0009693932],"study_design_scores_gemma":[0.0001887444,0.0001001962,0.0004867462,0.0001778858,0.00005854048,0.00001324463,0.00009208068,0.0005449433,0.9958969,0.0006426541,0.001572625,0.0002254072],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965525,0.00006566925,0.0006529028,0.00007051523,0.0001317502,0.0007405714,0.00005517883,0.0003153726,0.001415597],"genre_scores_gemma":[0.9898059,0.00001892235,0.009588938,0.00001670927,0.000356167,0.0001343211,0.00000686678,0.0000565875,0.0000155697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008936035,"threshold_uncertainty_score":0.8274742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007599242160129993,"score_gpt":0.2069239800972185,"score_spread":0.1993247379370885,"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."}}