{"id":"W4410780397","doi":"10.1002/anbr.202500028","title":"Graphene Oxide‐Based Gene Modulation in Preferential Elimination of Lung Cancer Cells in a 3D Tumor Microenvironment Model","year":2025,"lang":"en","type":"article","venue":"Advanced NanoBiomed Research","topic":"Graphene and Nanomaterials Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; National Research Council Canada; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tumor microenvironment; Lung cancer; Cancer research; Graphene; Modulation (music); Chemistry; Gene; Oxide; Cell biology; Biology; Medicine; Materials science; Nanotechnology; Tumor cells; Pathology; Biochemistry; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008290884,0.0002056071,0.0001143939,0.0001501807,0.00008615374,0.0001340349,0.0001258101,0.0002817857,0.0003296533],"category_scores_gemma":[0.00004350687,0.0001008216,0.0001905248,0.00009585895,0.000161625,0.0001122573,0.00009869381,0.0002243886,0.00007121635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002134174,"about_ca_system_score_gemma":0.0001587879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001453416,"about_ca_topic_score_gemma":0.002405037,"domain_scores_codex":[0.9999375,0.000007713013,0.000002691093,0.00001553077,0.00002255245,0.00001394909],"domain_scores_gemma":[0.9999707,0.000008134204,0.000008151141,0.000003746953,0.000003555872,0.000005745307],"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":[0.00001672883,0.00001031108,0.00003632852,0.00001037386,0.000001464877,0.00002392029,0.000006745855,0.0002687555,0.9992371,0.00005131058,0.00001280936,0.000324364],"study_design_scores_gemma":[0.000005822592,0.00009717008,0.0007351341,0.000001252771,0.000006011261,0.00004358868,0.000008356529,0.003638794,0.9948382,0.00002254359,0.0005995343,0.000003485746],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925644,0.0003728896,0.005716674,0.00006108266,0.00001612787,0.00002283949,0.0001367291,0.00008009701,0.001029155],"genre_scores_gemma":[0.9918156,0.0003731695,0.006328911,0.00003442278,0.000002342611,0.00003672469,0.0001141619,0.00001472544,0.00127985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001453416,"threshold_uncertainty_score":0.002889872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0170057779271011,"score_gpt":0.3097860175746834,"score_spread":0.2927802396475823,"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."}}