{"id":"W2900475759","doi":"10.3390/jsan7040049","title":"Special Issue: Wireless Sensor and Actuator Networks for Smart Cities","year":2018,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Wireless sensor network; Wireless; Wireless network; Key distribution in wireless sensor networks; Telecommunications; Actuator; Computer network; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008052728,0.0003455994,0.0007193767,0.0002024736,0.0003869669,0.0006516048,0.0004048983,0.0002581945,0.00006698095],"category_scores_gemma":[0.00011176,0.0002941165,0.0001982967,0.0002485745,0.0002591547,0.001001575,0.0001651662,0.0004378429,0.000008206121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000581867,"about_ca_system_score_gemma":0.00007898777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001099067,"about_ca_topic_score_gemma":0.00002731007,"domain_scores_codex":[0.9977503,0.0001541843,0.0007487272,0.0004141936,0.0003838377,0.0005487689],"domain_scores_gemma":[0.9969948,0.0009013217,0.0007133702,0.0003109823,0.000685322,0.0003942021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007606125,0.0001730534,0.002853983,0.00009974555,0.0005334882,0.0001336646,0.003357491,0.00008579144,0.0005661747,0.0005301814,0.1326838,0.8582221],"study_design_scores_gemma":[0.007202062,0.002920166,0.009174034,0.0009765696,0.0003309257,0.004223308,0.002442568,0.3336239,0.001284954,0.0009429813,0.634955,0.001923473],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4775337,0.0006198544,0.5101919,0.001696336,0.008158992,0.0006305492,0.00001898143,0.00009604513,0.001053639],"genre_scores_gemma":[0.954347,0.0003732831,0.005778888,0.0007831823,0.0380608,0.000007511081,0.000002012376,0.00004007591,0.0006072177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8562986,"threshold_uncertainty_score":0.9999511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01755360926345899,"score_gpt":0.2465204305971979,"score_spread":0.2289668213337389,"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."}}