{"id":"W2896245277","doi":"10.1145/3277868.3277876","title":"ILOS","year":2018,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"RSS; Fingerprint (computing); Computer science; Fingerprint recognition; Signal strength; Inertial measurement unit; Mobile phone; Smart phone; SIGNAL (programming language); Process (computing); Artificial intelligence; Pattern recognition (psychology); Wireless; Telecommunications","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001299066,0.001113972,0.000664713,0.001774509,0.001395841,0.003994099,0.001545806,0.001635199,0.3563958],"category_scores_gemma":[0.003110506,0.0004683819,0.0004789197,0.001472263,0.000599679,0.002666346,0.003135986,0.001715429,0.2746914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001058796,"about_ca_system_score_gemma":0.001809113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001746307,"about_ca_topic_score_gemma":0.001700472,"domain_scores_codex":[0.9986629,0.0001927854,0.00008012566,0.0003660443,0.0004736487,0.0002243456],"domain_scores_gemma":[0.997919,0.0002554886,0.0001513293,0.0005251188,0.0007528489,0.0003961522],"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":[0.00114191,0.0002635329,0.003547228,0.0008354964,0.00004670273,0.0004942056,0.0005090766,0.001222262,0.01035332,0.04649161,0.4523554,0.4827392],"study_design_scores_gemma":[0.00005157708,0.00006008657,0.0006217004,0.00009974135,0.00001381384,0.0002114543,0.0001141482,0.001092133,0.002340008,0.00307276,0.9923074,0.00001506133],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007752484,0.00274273,0.04462108,0.004278761,0.003028567,0.0004598844,0.01182816,0.02622348,0.8990648],"genre_scores_gemma":[0.0945132,0.003294887,0.03983948,0.002972056,0.001174627,0.00064787,0.02690734,0.005239781,0.8254107],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6436042,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005002795137475193,"score_gpt":0.184843040062857,"score_spread":0.1798402449253818,"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."}}