{"id":"W4409145838","doi":"10.1039/d4nr04853a","title":"MXenes in healthcare: transformative applications and challenges in medical diagnostics and therapeutics","year":2025,"lang":"en","type":"review","venue":"Nanoscale","topic":"MXene and MAX Phase Materials","field":"Materials Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Boniface Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"MXenes; Transformative learning; Nanotechnology; Healthcare system; Carbide; Patient care; Health care; Materials science; Computer science; Medicine; Political science; Psychology","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":[0.0006473992,0.0002418011,0.00104451,0.0001910477,0.00004750683,0.00004064872,0.0001937577,0.0004073847,0.00003275327],"category_scores_gemma":[0.00006391652,0.0001919731,0.00003979462,0.000185148,0.0001193062,0.00006706095,0.00008957017,0.0001844561,0.000008751208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004105116,"about_ca_system_score_gemma":0.0002907913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009094307,"about_ca_topic_score_gemma":0.0006569899,"domain_scores_codex":[0.9982795,0.0002966301,0.0006055697,0.0003684412,0.0001966845,0.0002531467],"domain_scores_gemma":[0.9988614,0.0007161698,0.0001068857,0.0002006267,0.00002258164,0.00009239033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003532449,0.00006887122,0.00000613501,0.02418876,0.0000052655,0.00000831375,0.0002505623,1.559749e-8,0.00001545836,0.002941697,0.00001961891,0.9724918],"study_design_scores_gemma":[0.000273859,0.00003741238,0.00002015621,0.00736285,0.00006478526,0.00001605193,0.00004297384,0.000001189094,0.0001269173,0.001036248,0.9908147,0.0002028949],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001428784,0.9963517,0.00002712684,0.001861131,0.0001475285,0.001040965,0.0001544873,0.00002361142,0.0002506142],"genre_scores_gemma":[0.0001409327,0.9986801,0.0000941931,0.0001960081,0.00005577076,0.0007684343,0.0000260137,0.0000143438,0.0000242069],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.990795,"threshold_uncertainty_score":0.7828437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08954750609002282,"score_gpt":0.3756439595231866,"score_spread":0.2860964534331638,"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."}}