{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004013672,0.000581085,0.0005630336,0.001093894,0.0002637626,0.0007896455,0.0004319005,0.001080652,0.002582982],"category_scores_gemma":[0.0003251081,0.0002866999,0.0003595448,0.0008523595,0.0004222238,0.001448553,0.0005978206,0.001391481,0.0008533644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005581952,"about_ca_system_score_gemma":0.0006385904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004731597,"about_ca_topic_score_gemma":0.0009901008,"domain_scores_codex":[0.9998617,0.00002459767,0.00001160423,0.00002591054,0.00005459423,0.00002157684],"domain_scores_gemma":[0.9998983,0.00005868189,0.00001191962,0.000004137808,0.00001856709,0.000008331653],"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":[0.00006981888,0.0001025608,0.0002158208,0.02555347,0.00006406824,0.0005329769,0.0002772105,0.001182159,0.03536847,0.06831643,0.02399237,0.8443246],"study_design_scores_gemma":[0.000006740269,0.0001245113,0.0003282512,0.001823191,0.00002702115,0.0008268454,0.00007944868,0.0002687058,0.005016647,0.004672541,0.9868069,0.00001932714],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007693808,0.9950492,0.0006100031,0.000505605,0.0002567231,0.000008198373,0.00002073673,0.00001167787,0.002768495],"genre_scores_gemma":[0.00450419,0.9929322,0.000700897,0.0002696013,0.0001259842,0.00001554151,0.00002317065,0.000003214177,0.001425261],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002582982,"threshold_uncertainty_score":0.008640885,"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."}}