{"id":"W4412028175","doi":"10.1016/j.comnet.2025.111527","title":"A comparative analysis of indoor localization technologies","year":2025,"lang":"en","type":"article","venue":"Computer Networks","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"Mitacs","keywords":"Computer science; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001096235,0.0006414794,0.0005172974,0.002824121,0.0003178977,0.001184383,0.000689332,0.0005975637,0.002409701],"category_scores_gemma":[0.004698182,0.0001692491,0.000576888,0.003245552,0.0002502307,0.00146242,0.0007200118,0.0002531718,0.001032201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005889994,"about_ca_system_score_gemma":0.0003854669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002081253,"about_ca_topic_score_gemma":0.001751308,"domain_scores_codex":[0.9980013,0.0005952262,0.000108733,0.0003141106,0.0007882395,0.0001924123],"domain_scores_gemma":[0.9957011,0.001966704,0.0004288225,0.0002875183,0.001536097,0.00007976249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005982596,0.0000796404,0.02780197,0.00279736,0.0003610888,0.0005245249,0.0004162947,0.04280369,0.01148608,0.008185085,0.009156567,0.8957894],"study_design_scores_gemma":[0.0001339151,0.003356308,0.1964466,0.002618309,0.001948422,0.008077394,0.005756257,0.462722,0.08617907,0.0112401,0.2210706,0.0004510641],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.3651231,0.06799599,0.4870819,0.001386571,0.001061355,0.0003085668,0.002656512,0.003300694,0.07108529],"genre_scores_gemma":[0.9342113,0.01382229,0.04491763,0.0001512258,0.000213786,0.0001069957,0.001781161,0.0001239604,0.00467161],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.002824121,"threshold_uncertainty_score":0.00806123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007589706687746166,"score_gpt":0.2307049457898961,"score_spread":0.2231152391021499,"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."}}