{"id":"W1971268196","doi":"10.1145/2594368.2602428","title":"Video","year":2014,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Gyroscope; Phone; Dead reckoning; Computer vision; Reset (finance); Artificial intelligence; Real-time computing; Floorplan; Rotation (mathematics); Global Positioning System; Embedded system; Telecommunications; Engineering","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":[0.0002174604,0.0009066336,0.0004507459,0.001347042,0.0009874193,0.001909093,0.001143195,0.001443311,0.7340849],"category_scores_gemma":[0.002407463,0.0002457741,0.0004685303,0.001138463,0.0002519534,0.002137113,0.001224509,0.001237054,0.3888479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007825218,"about_ca_system_score_gemma":0.0007200055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01145738,"about_ca_topic_score_gemma":0.01511018,"domain_scores_codex":[0.99981,0.00001396892,0.000008007946,0.00003302429,0.0001024494,0.00003253203],"domain_scores_gemma":[0.9991321,0.0001504399,0.00003217727,0.00007812208,0.0004373868,0.0001698657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007850936,0.00003184753,0.0001580645,0.0001478452,0.000004497259,0.0002576413,0.00003450706,0.0001855503,0.000675257,0.00115866,0.9296211,0.06764666],"study_design_scores_gemma":[0.00001643769,0.0000243371,0.000564581,0.00008277489,0.000004217959,0.0003955584,0.00006562004,0.0004607284,0.0004061066,0.0009770088,0.9969897,0.00001293666],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002938418,0.00327541,0.01428343,0.003814642,0.01159271,0.0005970701,0.08078218,0.01267116,0.8700449],"genre_scores_gemma":[0.01936993,0.002969006,0.01298097,0.003627215,0.002821635,0.000302309,0.07129861,0.003133226,0.8834971],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2659151,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003213149618561131,"score_gpt":0.1639837004493905,"score_spread":0.1607705508308293,"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."}}