{"id":"W2772206214","doi":"10.1002/9783527698646.ch4","title":"Carbon‐Based Nanobiomaterials","year":2017,"lang":"en","type":"other","venue":"","topic":"Graphene and Nanomaterials Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Carbon nanotube; Nanotechnology; Graphene; Materials science; Biosensor; Biomolecule; Tissue engineering; Regenerative medicine; Microfabrication; Biocompatible material; Biomedical engineering; Chemistry; Cell; Medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002897643,0.0001828687,0.0002329287,0.000120502,0.00002210626,0.00004888334,0.0002222723,0.0002223093,0.004235952],"category_scores_gemma":[0.000001771914,0.0001659314,0.00004421554,0.00002380559,0.00002433695,0.000008072191,0.00001333216,0.0000188655,0.0002491342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009218648,"about_ca_system_score_gemma":0.0000122163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002254975,"about_ca_topic_score_gemma":0.000117145,"domain_scores_codex":[0.99957,0.000005465749,0.00009643238,0.0001295707,0.00005440833,0.000144148],"domain_scores_gemma":[0.9992901,0.000003746321,0.00004729287,0.0006147277,0.000005144715,0.00003900141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[4.061235e-7,0.000004693366,0.000004414797,0.0001031351,0.00003600175,0.000001518472,0.000001134012,0.000002647074,0.06087916,0.000171533,0.9385555,0.0002398944],"study_design_scores_gemma":[0.0001022428,0.000002877964,0.0000107273,0.00006349087,0.00001873477,4.575303e-7,2.615989e-7,0.00006372936,0.08110523,0.00003565002,0.9183882,0.0002083996],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000290966,0.0003687038,0.00009786287,0.000008334197,0.0008736686,0.0002058258,0.0001041779,0.001626468,0.996424],"genre_scores_gemma":[0.03093304,0.000246619,0.001782302,0.00003364285,0.000656473,0.000260221,0.0001731252,0.001101775,0.9648128],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03161119,"threshold_uncertainty_score":0.9966743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00857805652404063,"score_gpt":0.2111355292328882,"score_spread":0.2025574727088476,"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."}}