{"id":"W4417535253","doi":"10.1039/d5nr03616j","title":"MXene quantum lands: emerging trends and breakthroughs","year":2025,"lang":"en","type":"article","venue":"Nanoscale","topic":"MXene and MAX Phase Materials","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Waterloo","funders":"","keywords":"Quantum dot; Efficient energy use; Transformative learning; Quantum; Reduction (mathematics); Quantum technology; Energy transformation","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":[0.0002426604,0.0001250322,0.0002237685,0.0001165457,0.0001413064,0.0001028707,0.0001359181,0.0000720086,0.001204601],"category_scores_gemma":[0.00002929086,0.0001058879,0.00003390084,0.0002061427,0.00006170793,0.0001371997,0.0001168474,0.00003880286,0.00007926969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001541849,"about_ca_system_score_gemma":0.00002706257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001864186,"about_ca_topic_score_gemma":0.00003902749,"domain_scores_codex":[0.999065,0.00004929275,0.0002222021,0.000288797,0.0001188612,0.0002557908],"domain_scores_gemma":[0.9995949,0.00003828995,0.00005030915,0.0002334173,0.00002843261,0.00005463757],"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":[0.00003134349,0.0000400465,0.00045108,0.00004131846,0.000005930137,0.000006563946,0.0001339935,0.000001284545,0.973959,0.004936183,0.01328542,0.007107869],"study_design_scores_gemma":[0.0007622127,0.00005318657,0.003304255,0.00006154361,0.00003265133,0.000008185664,0.00006858256,0.00007271847,0.8198169,0.002440367,0.1731875,0.0001918898],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759493,0.0005005007,0.0003494256,0.001364921,0.001108188,0.00006372228,0.00003565843,0.0001286359,0.0204996],"genre_scores_gemma":[0.9909968,0.00006444928,0.0003824306,0.0004850808,0.0001080379,0.00001902153,0.00001002237,0.000009935993,0.007924226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1599021,"threshold_uncertainty_score":0.9997084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01201995263106586,"score_gpt":0.2846131366818774,"score_spread":0.2725931840508115,"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."}}