{"id":"W4386392850","doi":"10.1038/s41467-023-40914-6","title":"Compact all-fiber quantum-inspired LiDAR with over 100 dB noise rejection and single photon sensitivity","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Random lasers and scattering media","field":"Physics and Astronomy","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lidar; Physics; Quantum sensor; Quantum entanglement; Noise (video); Photon; Sensitivity (control systems); Quantum optics; Quantum; Optics; Quantum network; Computer science; Electronic engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002020442,0.000134264,0.0001744039,0.00007954487,0.0002839921,0.00007329832,0.0001630882,0.00008420273,0.00004596122],"category_scores_gemma":[0.00001307462,0.0001137495,0.00005349132,0.0002996245,0.0001078312,0.0001316197,0.00009333642,0.0005040702,0.00004218205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002461106,"about_ca_system_score_gemma":0.00002692268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005188102,"about_ca_topic_score_gemma":0.0002924267,"domain_scores_codex":[0.9992648,0.0001268135,0.0001267799,0.0001779431,0.000126467,0.0001771478],"domain_scores_gemma":[0.9986621,0.0002831958,0.00008095642,0.0008318495,0.00006226612,0.00007970494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001126783,0.003280461,0.5053963,0.000145876,0.001945966,0.00004353077,0.01011686,0.0009927095,0.2866379,0.02657719,0.1290661,0.03467033],"study_design_scores_gemma":[0.006199031,0.0003228437,0.6137532,0.0003159256,0.0003555724,0.00002432408,0.00106792,0.02872029,0.01356828,0.002049767,0.3323763,0.001246587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908866,0.0001461162,0.00007386087,0.002633891,0.00009034244,0.0002277014,0.00006413504,0.0001230105,0.005754353],"genre_scores_gemma":[0.9987966,0.00003057578,0.0002973994,0.0001289218,0.00007680993,0.00001593856,0.0002870094,0.00002157473,0.0003451123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2730696,"threshold_uncertainty_score":0.4638569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02147617390632166,"score_gpt":0.2798640845484475,"score_spread":0.2583879106421258,"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."}}