{"id":"W2991310872","doi":"10.3390/app9235027","title":"A Novel Localization Technique Using Luminous Flux","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Professional Engineers Ontario","funders":"Yanshan University; National Natural Science Foundation of China","keywords":"Dilution of precision; Computer science; Optical wireless; Satellite system; Non-line-of-sight propagation; Mean squared error; RSS; Wireless; GNSS applications; Global Positioning System; Real-time computing; Telecommunications; Mathematics; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002099874,0.0004517014,0.0004197659,0.0007706514,0.0003818439,0.0006149652,0.0009241464,0.0007626088,0.001815337],"category_scores_gemma":[0.0005098471,0.0002078492,0.0003779541,0.0007588852,0.0003825867,0.001050628,0.0007970451,0.0003804913,0.001199448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003400578,"about_ca_system_score_gemma":0.0003148705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005421576,"about_ca_topic_score_gemma":0.0006382132,"domain_scores_codex":[0.9996934,0.00004783511,0.00001141586,0.0001011621,0.0001147663,0.00003142082],"domain_scores_gemma":[0.9997732,0.00005297105,0.00004934196,0.00004053008,0.00007207842,0.00001180911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003114124,0.0001013127,0.001842367,0.0004467527,0.0000516217,0.0003935959,0.0002762659,0.007376965,0.430835,0.01109656,0.002725808,0.5445423],"study_design_scores_gemma":[0.0001538067,0.001226987,0.004918354,0.0001568604,0.0001966612,0.004656208,0.0003530337,0.3069013,0.5846303,0.005870919,0.09071109,0.0002245483],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03091132,0.00115139,0.9598254,0.0002122489,0.000241387,0.00004586314,0.00006024124,0.001284046,0.006268138],"genre_scores_gemma":[0.5244303,0.001263283,0.4596301,0.0003067489,0.0001684597,0.0001062506,0.0001404462,0.00009421684,0.01386024],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001815337,"threshold_uncertainty_score":0.006072938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01619591725254468,"score_gpt":0.2263758359736652,"score_spread":0.2101799187211205,"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."}}