{"id":"W4417475992","doi":"10.1088/2053-1591/ae2f26","title":"A review of advances in next-generation materials for quantum sensing and communication","year":2025,"lang":"en","type":"article","venue":"Materials Research Express","topic":"Diamond and Carbon-based Materials Research","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Quantum sensor; Quantum; Quantum technology; Qubit; Underpinning; Quantum information science; Key (lock); Quantum nanoscience","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":[],"consensus_categories":[],"category_scores_codex":[0.01014836,0.0001858397,0.0006345306,0.0003651344,0.0002105488,0.0004268115,0.0004809671,0.0001176424,0.0003384721],"category_scores_gemma":[0.001763888,0.0001663648,0.00003304304,0.0003408788,0.0003407412,0.0005586869,0.0004055963,0.00008990905,0.00001009768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009613692,"about_ca_system_score_gemma":0.0002155278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006140092,"about_ca_topic_score_gemma":0.00006569338,"domain_scores_codex":[0.9957317,0.00178661,0.0008621925,0.0004673171,0.0005756466,0.0005765572],"domain_scores_gemma":[0.9976994,0.0006448273,0.0001714377,0.0006434668,0.0007692731,0.00007161815],"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":[0.0002315872,0.0000581063,0.000003628028,0.01168457,0.000004040191,0.000001365248,0.00007926192,0.000002597857,0.9810179,0.003219421,0.00163293,0.002064585],"study_design_scores_gemma":[0.0005321489,0.00008167632,0.00001395004,0.008449465,0.000008003555,0.000001286022,0.0001086058,0.00007655544,0.9813459,0.003377819,0.005865042,0.0001395404],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9532798,0.04313284,0.0002525018,0.0005691175,0.0004408776,0.00173722,0.0002740689,0.00003416967,0.0002794059],"genre_scores_gemma":[0.9314564,0.06607813,0.001495335,0.0001646469,0.0001075635,0.0004757243,0.0001203293,0.0000269108,0.00007493882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02294528,"threshold_uncertainty_score":0.678416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1053659209783384,"score_gpt":0.4127083530559539,"score_spread":0.3073424320776155,"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."}}