{"id":"W3120984923","doi":"10.5539/nct.v5n2p40","title":"Indoor Localization Based on Fingerprint Clustering","year":2020,"lang":"en","type":"article","venue":"Network and Communication Technologies","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"RSS; Computer science; Cluster analysis; Fingerprint (computing); Gaussian; Fingerprint recognition; Data mining; Artificial intelligence; SIGNAL (programming language); Pattern recognition (psychology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000816512,0.0001533472,0.0001564839,0.00007752243,0.0001901098,0.00005688878,0.0004100867,0.0002084299,0.00001046429],"category_scores_gemma":[0.0001045075,0.0001500037,0.00002300872,0.0004474379,0.0001332837,0.0000755733,0.0001886172,0.0002905597,0.00001484731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002914221,"about_ca_system_score_gemma":0.000006255021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001805523,"about_ca_topic_score_gemma":0.000005283879,"domain_scores_codex":[0.9993203,0.00002375019,0.0002084914,0.0001566893,0.00009866856,0.0001921061],"domain_scores_gemma":[0.9993305,0.00007692115,0.00004301654,0.0004924177,0.00003187438,0.00002528911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001746255,0.00001055766,0.001886214,0.0000631818,0.00001358558,9.760096e-7,0.000147461,0.8395476,0.00008330394,0.00943768,0.003165364,0.1456266],"study_design_scores_gemma":[0.0002228144,0.00007113171,0.0002373289,0.00006480506,0.000006668108,6.859579e-7,0.0004047744,0.9771034,0.003586531,0.002328059,0.01578323,0.0001905837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005925156,0.003538281,0.9600952,0.006057684,0.0001099023,0.0003951809,0.000004457996,0.01471811,0.009156046],"genre_scores_gemma":[0.9911996,0.001673803,0.006411887,0.0005998404,0.00001786978,0.00005144784,0.00001752491,0.00002421288,0.000003843692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9852744,"threshold_uncertainty_score":0.6116976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270437953085269,"score_gpt":0.2002165457740009,"score_spread":0.1875121662431482,"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."}}