{"id":"W2230273156","doi":"","title":"Worst-case scenario SBAS interference","year":2009,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"GNSS positioning and interference","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"GNSS augmentation; Interference (communication); Computer science; Environmental science; Telecommunications; GNSS applications; Global Positioning System","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":[0.0008896586,0.001548127,0.0013837,0.0009905201,0.001364181,0.002232591,0.001290297,0.002816128,0.008076158],"category_scores_gemma":[0.003369442,0.0004944015,0.0006551426,0.001460387,0.0008863186,0.001315435,0.001283744,0.0008856555,0.002383303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001238705,"about_ca_system_score_gemma":0.0007100672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004547942,"about_ca_topic_score_gemma":0.004694356,"domain_scores_codex":[0.9973944,0.0006295813,0.00005199746,0.000340114,0.000590976,0.0009929975],"domain_scores_gemma":[0.997129,0.001361992,0.0001675578,0.0003282244,0.0007988873,0.0002142402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002793347,0.0001127183,0.0126139,0.0004277694,0.0003335224,0.003849251,0.0002250341,0.895341,0.02311242,0.008546963,0.01842812,0.03421602],"study_design_scores_gemma":[0.0001529102,0.0007222667,0.01106349,0.0001145465,0.0004268907,0.007414174,0.001010789,0.9228613,0.02297724,0.02008384,0.0130546,0.000118033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6118774,0.002687785,0.1940697,0.002418595,0.0007979596,0.0002107651,0.004669663,0.004901095,0.1783671],"genre_scores_gemma":[0.9911097,0.0002272616,0.004119538,0.0001464149,0.00006272276,0.00002370795,0.0005885937,0.00009376211,0.003628304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008076158,"threshold_uncertainty_score":0.02701747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01529430689292537,"score_gpt":0.2190151897957825,"score_spread":0.2037208829028571,"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."}}