{"id":"W2532320222","doi":"10.14257/ijsip.2016.9.9.28","title":"A New Low Complexity NLOS Identification Approach Based on Maximum Slope and Skewness of Energy Block for 60GHz System","year":2016,"lang":"en","type":"article","venue":"International Journal of Signal Processing Image Processing and Pattern Recognition","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Ocean University of China","keywords":"Skewness; Non-line-of-sight propagation; Identification (biology); Block (permutation group theory); Computer science; Energy (signal processing); Statistics; Mathematics; Telecommunications; Wireless; Geometry; Biology; Ecology","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":[0.0006238714,0.0002035254,0.0002763133,0.0004414649,0.0001508642,0.0004811761,0.0004497056,0.00009337161,0.000003463132],"category_scores_gemma":[0.00008320377,0.0001577776,0.00007652643,0.0001834033,0.0001188265,0.001423371,0.00004598814,0.0001073813,0.000001146295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001085521,"about_ca_system_score_gemma":0.0002570584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000865143,"about_ca_topic_score_gemma":0.000001139244,"domain_scores_codex":[0.9978216,0.00009503048,0.0008452046,0.0003885049,0.0006812474,0.0001683661],"domain_scores_gemma":[0.9956785,0.000182092,0.001493415,0.0001126393,0.002408353,0.000124933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000172475,0.0001308483,0.0002599236,0.000520197,0.00002274672,0.000003728711,0.0001386046,0.00008234863,0.03077834,0.0001212116,0.00002931616,0.9677402],"study_design_scores_gemma":[0.00407787,0.0003811806,0.005890505,0.006512195,0.00009233944,0.000392078,0.0001626807,0.8781571,0.08849221,0.01525586,0.00006524674,0.0005207528],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01244604,0.0001412734,0.9856021,0.001334095,0.0001621432,0.0001340574,0.00002965797,0.00004373889,0.0001069329],"genre_scores_gemma":[0.9324904,0.00001107712,0.06700727,0.0001342872,0.0002747067,0.00001691996,0.0000208856,0.00001981485,0.00002462618],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9672195,"threshold_uncertainty_score":0.6433984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04215339071912468,"score_gpt":0.2653571758129666,"score_spread":0.2232037850938419,"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."}}