{"id":"W2018238268","doi":"10.1109/apemc.2008.4559820","title":"An alternative TIS measurement method for RSSI reporting based wireless mobile stations","year":2008,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Compatibility and Measurements","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"Sensitivity (control systems); Antenna (radio); Signal strength; Wireless; Computer science; Antenna gain; Mobile wireless; Mobile telephony; Electronic engineering; Mobile radio; Telecommunications; Radiation pattern; Engineering; Antenna aperture","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":[0.001490229,0.001071881,0.001199592,0.003354703,0.00063633,0.001866892,0.001985122,0.001335439,0.004056129],"category_scores_gemma":[0.005256273,0.0004508576,0.0006447469,0.003270902,0.0003958587,0.001595667,0.000850075,0.001266596,0.004323497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006749457,"about_ca_system_score_gemma":0.0006144089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001469707,"about_ca_topic_score_gemma":0.002430992,"domain_scores_codex":[0.9962047,0.0008268041,0.000310053,0.0005430612,0.001938137,0.0001772969],"domain_scores_gemma":[0.9949521,0.000760318,0.0005850281,0.001224666,0.002363738,0.0001142604],"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":[0.0007679064,0.000256326,0.02210112,0.001208436,0.0002909671,0.0004134793,0.0007036132,0.007734013,0.3033718,0.02678026,0.0127298,0.6236422],"study_design_scores_gemma":[0.0002097876,0.002797206,0.03967591,0.0003303461,0.0008268169,0.00602283,0.0007227124,0.2708244,0.4634033,0.00963076,0.204883,0.0006728616],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02256113,0.0007735732,0.9549619,0.0002550409,0.001241852,0.0001583025,0.000709282,0.00399647,0.01534247],"genre_scores_gemma":[0.347768,0.001140516,0.6252998,0.0005475007,0.0007206417,0.0004171824,0.001411509,0.0003800788,0.02231473],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004056129,"threshold_uncertainty_score":0.01356912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08744172982283667,"score_gpt":0.3221795613314735,"score_spread":0.2347378315086369,"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."}}