{"id":"W2007215379","doi":"10.1145/2685553.2698994","title":"Shuriken","year":2015,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Transfer (computing); Bluetooth; Mobile device; SwIPe; Bluetooth Low Energy; Computer network; Telecommunications; Wireless; World Wide Web","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":[0.0008561026,0.001157473,0.001046269,0.001537102,0.001523499,0.002398356,0.002253318,0.001099996,0.02382167],"category_scores_gemma":[0.002796442,0.0006398436,0.0009507788,0.001506594,0.0009777513,0.003263565,0.004037742,0.001101519,0.01287498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005942675,"about_ca_system_score_gemma":0.001261684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003773798,"about_ca_topic_score_gemma":0.006532413,"domain_scores_codex":[0.9980622,0.0002802433,0.0001131429,0.0006423666,0.0006978971,0.0002040708],"domain_scores_gemma":[0.9989581,0.0001519755,0.00005998651,0.0005490308,0.0002119147,0.00006885659],"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":[0.0003948662,0.0001088452,0.002689051,0.0004547588,0.000100559,0.0003655648,0.001368146,0.01293762,0.01614266,0.04191934,0.0251909,0.8983276],"study_design_scores_gemma":[0.0001747447,0.0005437735,0.00504279,0.0002991987,0.0001812817,0.00179641,0.001475949,0.2532237,0.06663714,0.05359701,0.6167576,0.0002703329],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01625844,0.0009677844,0.9269584,0.0002953758,0.0003498025,0.000445143,0.0005797747,0.01184723,0.04229812],"genre_scores_gemma":[0.1991704,0.0009050766,0.6943009,0.0006001852,0.0001418237,0.0004231391,0.002722593,0.001664564,0.1000712],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02382167,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02141775047171592,"score_gpt":0.1944889140854773,"score_spread":0.1730711636137614,"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."}}