{"id":"W4250617174","doi":"10.1145/1410012","title":"Proceedings of the first ACM international workshop on Mobile entity localization and tracking in GPS-less environments","year":2008,"lang":"en","type":"paratext","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Global Positioning System; Computer science; Context (archaeology); Tracking (education); Bridge (graph theory); Data science; Telecommunications; World Wide Web; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005019902,0.0001986807,0.0002081513,0.000201069,0.00005689815,0.00003594443,0.0004514741,0.000341432,0.000202179],"category_scores_gemma":[0.00005368522,0.0001606444,0.00004573177,0.0002173142,0.0001008116,0.000120371,0.000163714,0.0002819613,0.00004000164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001497028,"about_ca_system_score_gemma":0.000006927264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001277229,"about_ca_topic_score_gemma":0.00002924254,"domain_scores_codex":[0.9991019,0.000003302401,0.0003008497,0.0002071799,0.000241982,0.0001448366],"domain_scores_gemma":[0.999679,0.00002926079,0.00008720945,0.0001648804,0.00002510938,0.00001456138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005128733,0.0003303433,0.04033786,0.00111932,0.0002309132,0.000003988775,0.002615402,0.6933797,0.0007001777,0.0015725,0.235027,0.02463149],"study_design_scores_gemma":[0.00225427,0.00009452988,0.01835891,0.003047479,0.00006029231,0.00002160161,0.002874979,0.08863398,0.1443413,0.0004026705,0.7382334,0.001676571],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6402028,0.003099239,0.03921058,0.0004920435,0.008856586,0.003992239,0.0002336593,0.0007759132,0.3031369],"genre_scores_gemma":[0.9880925,0.004772662,0.00006958217,0.00005221383,0.00006107428,0.00006572616,0.00004345547,0.00004145504,0.006801331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6047457,"threshold_uncertainty_score":0.6550887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01315764915742396,"score_gpt":0.2270227582219069,"score_spread":0.213865109064483,"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."}}