{"id":"W2915082515","doi":"10.1109/glocom.2018.8647875","title":"Passive Indoor Localization for Visible Light Communication Systems","year":2018,"lang":"en","type":"article","venue":"","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Ceiling (cloud); Visible light communication; Mean squared error; Depth sounding; Process (computing); Real-time computing; Channel sounding; Impulse response; Minimum mean square error; Impulse (physics); Root mean square; Channel (broadcasting); Telecommunications; Engineering; Electrical engineering; MIMO; Geology; Mathematics","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":[0.00008406759,0.00008770235,0.0001115417,0.00008231603,0.0001234595,0.0000613606,0.0004053038,0.000120992,0.00002386312],"category_scores_gemma":[0.00008830142,0.00008098697,0.00002342456,0.000222108,0.00007808181,0.0001488314,0.00007910503,0.00007533,0.0001141381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006226747,"about_ca_system_score_gemma":0.000006651869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008973398,"about_ca_topic_score_gemma":0.00001706393,"domain_scores_codex":[0.9994786,0.00001809609,0.0002060446,0.00008618275,0.00007070817,0.0001404105],"domain_scores_gemma":[0.998907,0.0001086685,0.00003212706,0.000739488,0.0001861314,0.00002653339],"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":[0.00001406969,0.00007368743,0.000270718,0.0001478435,0.0001020833,1.503793e-7,0.000500335,0.008849405,0.004685193,0.8876578,0.05676619,0.04093253],"study_design_scores_gemma":[0.0002822855,0.00007041606,0.00009909759,0.0000549808,0.000008115478,0.000001087257,0.0003852054,0.8121285,0.07810737,0.002900602,0.1057691,0.0001932618],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005131889,0.001212721,0.9556665,0.001384413,0.0002572203,0.0007059283,0.000007106328,0.002952274,0.03268192],"genre_scores_gemma":[0.9887389,0.0002599714,0.01047285,0.00003546962,0.00003336494,0.0002052691,0.00002419387,0.00002559714,0.000204367],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9836071,"threshold_uncertainty_score":0.3302553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01290556751945058,"score_gpt":0.2407588325988138,"score_spread":0.2278532650793632,"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."}}