{"id":"W4417507463","doi":"10.1002/advs.202517593","title":"A Scalable Method for Cavity‐Enhanced Solid‐State Quantum Sensors","year":2025,"lang":"en","type":"article","venue":"Advanced Science","topic":"Diamond and Carbon-based Materials Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"RMIT University; ARC Centre for Nanoscale BioPhotonics; Australian Research Council; Ontario Ministry of Natural Resources and Forestry; Australian National Fabrication Facility","keywords":"Photoluminescence; Quantum sensor; Brightness; Nanoscopic scale; Diamond; Quantum dot; Fabrication; Quantum; Magnetic field","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002661235,0.0002229433,0.0003694028,0.0002863455,0.0006736506,0.0003767756,0.0009814767,0.0000534245,0.0000991927],"category_scores_gemma":[0.001042944,0.0001951089,0.00008205773,0.001278329,0.0006886231,0.0007191835,0.0002549001,0.000104045,0.0001052625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001576976,"about_ca_system_score_gemma":0.0007429069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008178766,"about_ca_topic_score_gemma":0.00002582095,"domain_scores_codex":[0.9968273,0.0001076086,0.0003850047,0.0009360872,0.0006099737,0.001134018],"domain_scores_gemma":[0.998164,0.0004185698,0.0001133567,0.0006146464,0.0004751592,0.0002142456],"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":[0.000121509,0.00004734421,0.000006914125,0.00007038796,0.000002336839,0.00000265127,0.0000971253,0.003398186,0.98261,0.003908422,0.0001335116,0.009601537],"study_design_scores_gemma":[0.0005956301,0.0001093262,0.00008712932,0.00007693104,0.000007407302,0.000001471594,0.0001257828,0.01043241,0.968967,0.01735358,0.002013774,0.0002296101],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8355383,0.00009004949,0.1582694,0.0003551395,0.001364042,0.0006670841,0.00006364685,0.0001692322,0.003483146],"genre_scores_gemma":[0.9338777,0.00002866325,0.06165912,0.000402871,0.00004070699,0.0002665535,0.00000317487,0.00001924348,0.003701931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09833943,"threshold_uncertainty_score":0.7956309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01307358623079092,"score_gpt":0.3647033962586298,"score_spread":0.3516298100278389,"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."}}