{"id":"W3047770534","doi":"10.1109/newcas49341.2020.9159784","title":"Collaborative Localization and Tracking with Minimal Infrastructure","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Polytechnique Montréal","funders":"","keywords":"Tracking (education); Computer science; Automation; The Internet; Location tracking; Robotics; Tracking system; Wireless; Artificial intelligence; Internet of Things; Real-time computing; Computer vision; Robot; Embedded system; Telecommunications; Engineering; World Wide Web; Kalman filter","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":[0.0009224029,0.001077417,0.001390874,0.0007527361,0.0009615395,0.001668987,0.002393222,0.001857925,0.002149768],"category_scores_gemma":[0.003482317,0.0006027555,0.0009228195,0.0008828217,0.001130878,0.002339978,0.004970377,0.0009696495,0.001401249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006093732,"about_ca_system_score_gemma":0.0007232694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002199193,"about_ca_topic_score_gemma":0.001787943,"domain_scores_codex":[0.9976473,0.0005548145,0.000087988,0.0007859303,0.0006032652,0.000320636],"domain_scores_gemma":[0.9977591,0.0007559605,0.0002701343,0.0009003842,0.0001766919,0.0001376094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005026954,0.0002120885,0.001873984,0.0003704838,0.0001506669,0.0009792732,0.0005240642,0.7108122,0.04484417,0.04563406,0.003626376,0.19047],"study_design_scores_gemma":[0.00007471876,0.0003473571,0.000987442,0.00003207949,0.00005253523,0.0006115135,0.0001429319,0.9522706,0.01369076,0.02413553,0.007610546,0.00004399814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01354157,0.0001231247,0.983158,0.00009192819,0.00002298911,0.00004466898,0.00003858349,0.0005410868,0.002438049],"genre_scores_gemma":[0.7028311,0.0003038268,0.2878626,0.000111899,0.00009470387,0.000287375,0.0002725104,0.00009326266,0.008142687],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002393222,"threshold_uncertainty_score":0.007191658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006236393935791722,"score_gpt":0.205477271991639,"score_spread":0.1992408780558473,"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."}}