{"id":"W4403863445","doi":"10.1109/jiot.2024.3487822","title":"Positioning in 5G Networks: Emerging Techniques, Use Cases, and Challenges","year":2024,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; 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":[0.002148777,0.0007723583,0.0005503068,0.001752496,0.0004888622,0.002514422,0.001040775,0.002110854,0.001667442],"category_scores_gemma":[0.003133297,0.0003991899,0.0005003223,0.003284319,0.001508315,0.004475177,0.001265262,0.001898737,0.0007850967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001012907,"about_ca_system_score_gemma":0.0008655405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002166196,"about_ca_topic_score_gemma":0.002276135,"domain_scores_codex":[0.9985461,0.0005027499,0.0001296377,0.0002125525,0.0004992891,0.0001097468],"domain_scores_gemma":[0.9978135,0.001372226,0.0001502255,0.0001313411,0.0004802104,0.00005252202],"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":[0.00006945046,0.00003743368,0.003308148,0.005054714,0.0000714485,0.0006345221,0.0007337995,0.0100638,0.002782379,0.1988146,0.01777063,0.7606591],"study_design_scores_gemma":[0.00001086036,0.0002389634,0.002513218,0.003972657,0.0001100371,0.003581831,0.001644182,0.01679556,0.002604847,0.09108825,0.877331,0.0001086032],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0072815,0.8898132,0.05716014,0.01434174,0.001920033,0.00006106497,0.0001533232,0.0001458227,0.02912315],"genre_scores_gemma":[0.07471445,0.8950596,0.0208101,0.002484516,0.003484832,0.00005198295,0.0001645155,0.00003436148,0.003195682],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002514422,"threshold_uncertainty_score":0.01136398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02060753959777686,"score_gpt":0.2359967781070749,"score_spread":0.215389238509298,"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."}}