{"id":"W2118405758","doi":"10.1145/1066677.1066902","title":"Pocket PC beacons","year":2005,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Wheelchair; Beacon; Computer science; Embedded system; Remote control; Server; Human–computer interaction; Real-time computing; Computer hardware; Computer network","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":[0.0005396905,0.00126283,0.0008899851,0.001631976,0.0006263792,0.001329316,0.002017778,0.001106724,0.2363207],"category_scores_gemma":[0.002744223,0.0006208239,0.00029887,0.001314129,0.0002535139,0.001174597,0.001602574,0.001173466,0.09248056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005286746,"about_ca_system_score_gemma":0.0006468287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002046345,"about_ca_topic_score_gemma":0.00141654,"domain_scores_codex":[0.9991519,0.00008539826,0.00004007914,0.000221696,0.0003699269,0.0001309728],"domain_scores_gemma":[0.9981757,0.0003714849,0.0001321997,0.0004529505,0.0006062748,0.0002614159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0016716,0.0002069604,0.002002627,0.0006522128,0.00002585068,0.000430183,0.0008170422,0.001417014,0.0559343,0.01465708,0.315879,0.6063061],"study_design_scores_gemma":[0.0002633245,0.0005927164,0.002704056,0.0001192882,0.00004867507,0.0007564545,0.000144067,0.009900411,0.02526952,0.002709379,0.9574045,0.00008759691],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02096893,0.001562869,0.4270371,0.001004596,0.001864006,0.001737313,0.01094865,0.1046656,0.430211],"genre_scores_gemma":[0.2441569,0.001108239,0.1375,0.001062885,0.0004776913,0.001796435,0.009204817,0.004460273,0.6002327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2363207,"threshold_uncertainty_score":0.7905716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00407620852956119,"score_gpt":0.1757805556821647,"score_spread":0.1717043471526035,"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."}}