{"id":"W2171445605","doi":"10.1109/icc.2011.5963278","title":"Wi-Fi-Based Indoor Positioning Using Human-Centric Collaborative Feedback","year":2011,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Bookmarking; Baseline (sea); Human–computer interaction; Real-time computing; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005742248,0.0001580476,0.0001493659,0.0002148715,0.0001640075,0.00004060202,0.0001991492,0.0001322173,0.0005564204],"category_scores_gemma":[0.00002657007,0.0001540396,0.00003865669,0.0007100618,0.0000601926,0.0001633139,0.00003553618,0.0001216235,0.00006424126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001089639,"about_ca_system_score_gemma":0.00002820385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003282762,"about_ca_topic_score_gemma":0.00001449907,"domain_scores_codex":[0.9992537,0.00001680561,0.0002094334,0.0001448439,0.0001170212,0.0002581809],"domain_scores_gemma":[0.9995453,0.00001620852,0.00003454647,0.0002465419,0.0001153171,0.00004213101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002553088,0.001056284,0.1044976,0.001054398,0.00110047,0.0003768416,0.01421114,0.3332144,0.2305078,0.2664092,0.03248949,0.0148271],"study_design_scores_gemma":[0.00138011,0.0001049775,0.002748147,0.00007946441,0.00005178154,0.000007150652,0.00163285,0.1329934,0.8578089,0.001780981,0.0007397456,0.0006725001],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.602973,0.0003089183,0.3160674,0.00003534396,0.0004515146,0.0004747409,0.00002610767,0.003501014,0.07616203],"genre_scores_gemma":[0.9826868,0.00000608856,0.01707254,0.0000806544,0.00002829302,0.00001059189,0.00001599829,0.0000326865,0.00006635315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6273011,"threshold_uncertainty_score":0.6281552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02862552517852368,"score_gpt":0.2307822522837153,"score_spread":0.2021567271051916,"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."}}