{"id":"W4386907440","doi":"10.48550/arxiv.2309.10332","title":"Towards a Realistic Model for Cavity-Enhanced Atomic Frequency Comb Quantum Memories","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Quantum optics and atomic interactions","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Dispersion (optics); Quantum; Optics; Function (biology); Frequency comb; Physics; Computer science; Materials science; Computational physics; Optoelectronics; Quantum mechanics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001769251,0.0004217083,0.0005288906,0.0001942244,0.000359719,0.000109894,0.0006014285,0.000198488,0.00008754301],"category_scores_gemma":[0.00002727239,0.0004964046,0.0004854409,0.0002280082,0.0001267398,0.0001560823,0.0004623338,0.0006864759,0.0001103446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002200107,"about_ca_system_score_gemma":0.0005344846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001867562,"about_ca_topic_score_gemma":0.0001486813,"domain_scores_codex":[0.9981689,0.0000545033,0.0003288735,0.0008922397,0.00007569048,0.0004797543],"domain_scores_gemma":[0.9982921,0.0001659932,0.0003396465,0.0007473077,0.0002964709,0.0001584847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005089763,0.0001076081,0.0003050878,0.00009646404,0.00028489,0.00001193678,0.0003428055,0.1989055,0.0001852337,0.79861,0.001018577,0.00008094341],"study_design_scores_gemma":[0.0003248233,0.00001719587,0.00004109847,0.00007176829,0.0001687521,1.867956e-7,0.0003001034,0.5556083,0.0001917477,0.4429175,0.0000454606,0.0003130992],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4022892,0.000006166872,0.5918143,0.00009662133,0.0009409816,0.0004512192,0.001344429,0.000145627,0.002911426],"genre_scores_gemma":[0.9921174,0.00002779042,0.0006721092,0.00002523931,0.0002631457,0.00002058445,0.0006021382,0.00007409394,0.006197511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5911422,"threshold_uncertainty_score":0.9997488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1043105413844463,"score_gpt":0.2397358300132894,"score_spread":0.135425288628843,"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."}}