{"id":"W2593139211","doi":"10.1109/ibcast.2017.7868140","title":"Contribution to develop a generic hybrid technique of satellite system for RFI geolocation","year":2017,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Geolocation; Computer science; Communications satellite; Satellite; Broadcasting (networking); Wireless; Transmission (telecommunications); Telecommunications; Radio frequency; Remote sensing; Interference (communication); Electromagnetic interference; Radio spectrum; Real-time computing; Computer network; Engineering; Geography","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":[0.0002887818,0.0005861918,0.0003565983,0.0008859044,0.0002960528,0.0005936301,0.0007823701,0.0007061579,0.002452127],"category_scores_gemma":[0.0005455147,0.0001688774,0.000470712,0.0007896124,0.0003222371,0.001018039,0.0006416781,0.0004218302,0.00180582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002302396,"about_ca_system_score_gemma":0.0003212301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009902597,"about_ca_topic_score_gemma":0.001343279,"domain_scores_codex":[0.9995803,0.00007046036,0.00001807676,0.00008874659,0.0002041609,0.00003819879],"domain_scores_gemma":[0.9996876,0.00004672126,0.0000304523,0.00006770967,0.0001511159,0.00001644986],"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":[0.0001826106,0.00009079825,0.007875064,0.000339572,0.000117247,0.0004739569,0.0003800576,0.02410636,0.1997598,0.01113579,0.003624831,0.751914],"study_design_scores_gemma":[0.0000667861,0.00119572,0.01157248,0.0001167085,0.0002900527,0.006142973,0.0005345352,0.6858273,0.1981779,0.007864187,0.08806897,0.0001425153],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02009977,0.0005976396,0.9737512,0.0001362592,0.0001099797,0.00006601421,0.00005906605,0.0006768674,0.004503159],"genre_scores_gemma":[0.4440593,0.001037234,0.5427972,0.0002490662,0.0002085584,0.0001358839,0.0003508998,0.00008171602,0.01108007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002452127,"threshold_uncertainty_score":0.008203208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0122720338767077,"score_gpt":0.2315634600402798,"score_spread":0.2192914261635721,"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."}}