{"id":"W3098425057","doi":"","title":"Spatial noise filtering through error correction for quantum sensing","year":2018,"lang":"en","type":"article","venue":"DSpace@MIT (Massachusetts Institute of Technology)","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Army Research Office; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Noise (video); Computer science; Remote sensing; Artificial intelligence; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006133377,0.0004272897,0.0003563644,0.0005459918,0.0005302203,0.0006792565,0.0007288369,0.001082296,0.002294296],"category_scores_gemma":[0.002782322,0.0002068997,0.000266056,0.0005912549,0.001721489,0.001320441,0.001029843,0.001101711,0.0004642641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007902582,"about_ca_system_score_gemma":0.0005408033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005948469,"about_ca_topic_score_gemma":0.0006146957,"domain_scores_codex":[0.9993873,0.0001374861,0.00002641871,0.00008879006,0.0003092208,0.00005075681],"domain_scores_gemma":[0.9992073,0.0003810728,0.00009606018,0.0001997127,0.00009119575,0.00002463517],"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":[0.00009711387,0.00005570152,0.0003537207,0.0001579573,0.00002168884,0.0001387819,0.0001588362,0.05887045,0.06165902,0.8187954,0.001401548,0.05828969],"study_design_scores_gemma":[0.00002424496,0.00008226561,0.000163964,0.00005808364,0.00001719571,0.0002004217,0.00002509249,0.6901138,0.06917858,0.2294448,0.01064037,0.00005115759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0368801,0.0009814155,0.9447282,0.0008223496,0.0002716801,0.00006801058,0.00004111987,0.0006572263,0.01554994],"genre_scores_gemma":[0.790457,0.00108103,0.2012484,0.000331782,0.000122762,0.00007813983,0.00004368907,0.000132576,0.006504713],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002294296,"threshold_uncertainty_score":0.007675231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02086290733036272,"score_gpt":0.2671380954677654,"score_spread":0.2462751881374027,"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."}}