{"id":"W3162503496","doi":"10.1109/icassp39728.2021.9414174","title":"Online Dynamic Window (ODW) Assisted 2-Stage LSTM Indoor Localization for Smart Phones","year":2021,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Inertial measurement unit; Artificial intelligence; Rendering (computer graphics); Real-time computing; Scalability; Dead reckoning; Software deployment; Computer vision","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":[0.000255452,0.001038576,0.0005264981,0.0002721837,0.0002113696,0.0004354792,0.001017248,0.0006893296,0.002504692],"category_scores_gemma":[0.000782073,0.0003337949,0.0004431633,0.0003696585,0.0001988759,0.001013327,0.0007023471,0.001019477,0.001217986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003344064,"about_ca_system_score_gemma":0.0006166703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006190423,"about_ca_topic_score_gemma":0.01106768,"domain_scores_codex":[0.9998612,0.00001802183,0.000008639862,0.00005255974,0.00002725401,0.00003230244],"domain_scores_gemma":[0.9998418,0.00005482156,0.00001626882,0.00002363517,0.00005062468,0.00001284578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000415162,0.0001163349,0.001034167,0.0002004201,0.00009239306,0.0002537538,0.0001581032,0.2683785,0.0416586,0.001859204,0.007463066,0.6783704],"study_design_scores_gemma":[0.00001007061,0.00006660516,0.0002880669,0.000009006287,0.00001667322,0.000037618,0.000020627,0.9905978,0.006927011,0.001008334,0.00100808,0.00001006821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06921146,0.00132642,0.9162663,0.0003363778,0.0002960994,0.00004878305,0.0004472056,0.009758379,0.002309019],"genre_scores_gemma":[0.8315948,0.0005563062,0.1602597,0.0002913613,0.00009559891,0.0001371893,0.001079143,0.0002486149,0.005737385],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006190423,"threshold_uncertainty_score":0.01230878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421232225256142,"score_gpt":0.2457753670917847,"score_spread":0.2315630448392233,"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."}}