{"id":"W2754052029","doi":"10.1145/3035968","title":"i <sup>2</sup> tag","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Intelligent Systems and Technology","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Multipath propagation; Multipath interference; Radio-frequency identification; Identification (biology); Dynamic time warping; Fingerprint (computing); Real-time computing; Interference (communication); Artificial intelligence; Telecommunications; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005057202,0.0008432246,0.0005311471,0.0006067337,0.0004748857,0.001800244,0.001493113,0.001395954,0.04646955],"category_scores_gemma":[0.001467758,0.0003010977,0.0003378448,0.0008379723,0.0004732715,0.001672982,0.000971074,0.0006016667,0.04099018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004639339,"about_ca_system_score_gemma":0.0003006565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004481255,"about_ca_topic_score_gemma":0.0008819611,"domain_scores_codex":[0.9993424,0.00006770327,0.00005796007,0.000124734,0.0003256502,0.00008140998],"domain_scores_gemma":[0.9987471,0.0001542969,0.0001336616,0.0003447297,0.0005613455,0.00005879208],"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":[0.00200504,0.0001132489,0.007821329,0.0007466741,0.0001171977,0.001744943,0.0002510336,0.00384554,0.1646905,0.01618119,0.3056108,0.4968725],"study_design_scores_gemma":[0.00008238592,0.0005877088,0.003365638,0.00009633452,0.0001374685,0.003585914,0.0002175101,0.04187587,0.256062,0.003972799,0.6899034,0.000112958],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03877135,0.003557879,0.6345873,0.003385129,0.007823565,0.0006437508,0.006938964,0.04107046,0.2632216],"genre_scores_gemma":[0.404726,0.00160363,0.1608068,0.007546733,0.001309921,0.0004009638,0.01156162,0.003137352,0.408907],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04646955,"threshold_uncertainty_score":0.1554561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01719200945203733,"score_gpt":0.2398949537251212,"score_spread":0.2227029442730838,"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."}}