{"id":"W2059774582","doi":"10.1145/1568199.1568209","title":"WHLocator","year":2009,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Wireless; Real-time computing; Telecommunications","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":[0.000009909876,0.00003177321,0.0000298201,0.00002876947,0.00001066051,0.000007301733,0.00004692263,0.00002891362,0.0001005981],"category_scores_gemma":[0.000004469126,0.00002704652,0.000009912303,0.0000758718,0.000004860733,0.00003155341,0.000001913495,0.00002576445,0.0001227442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000758441,"about_ca_system_score_gemma":0.000001069755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.458859e-7,"about_ca_topic_score_gemma":3.88897e-7,"domain_scores_codex":[0.9998363,6.114254e-7,0.00004008448,0.00002844565,0.00002737967,0.00006716728],"domain_scores_gemma":[0.9999105,0.000001988635,0.000001489567,0.00006989364,0.00000571518,0.0000104156],"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":[0.000002218349,0.00002224076,0.0007412739,0.00001532983,0.00001433326,0.000008215338,0.0001480564,0.01524003,0.0113704,0.4158328,0.1371939,0.4194111],"study_design_scores_gemma":[0.0003835527,0.00007861769,0.008124266,0.00000940574,0.000006255116,0.00000900021,0.0002293498,0.0806957,0.7153326,0.02082827,0.1738484,0.0004545759],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05193675,0.0003035453,0.3434338,0.0005852719,0.0003046349,0.00008923003,0.000001600481,0.009095243,0.59425],"genre_scores_gemma":[0.9984886,0.00001539695,0.0009451802,0.0001872523,0.00001434835,7.33904e-7,0.000001023579,0.000003042875,0.0003444321],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9465519,"threshold_uncertainty_score":0.1577669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003171783871246264,"score_gpt":0.1731956149496186,"score_spread":0.1700238310783724,"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."}}