{"id":"W7095976387","doi":"","title":"LETTER Earth Planets Space, 52, 1067–1071, 2000 The impact of geomagnetic substorms on GPS receiver performance","year":2000,"lang":"en","type":"article","venue":"","topic":"GNSS positioning and interference","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Substorm; Global Positioning System; Ionosphere; Earth's magnetic field; Geomagnetic storm; Gps receiver; Scintillation; Tracking (education)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006216348,0.0003665024,0.0005294986,0.000582597,0.0006615224,0.00176738,0.0004373728,0.001358116,0.09971163],"category_scores_gemma":[0.002647576,0.0001463566,0.0001422763,0.0007565276,0.0006896724,0.0008756841,0.0005203045,0.0005694195,0.0772476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006734992,"about_ca_system_score_gemma":0.0002613094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00234309,"about_ca_topic_score_gemma":0.002630019,"domain_scores_codex":[0.9994932,0.00009337024,0.00003783582,0.00009588821,0.0002110242,0.00006859504],"domain_scores_gemma":[0.9981676,0.0004574751,0.0001537983,0.0003182111,0.0007549592,0.0001477945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001042122,0.0002233406,0.03322655,0.0006181304,0.00008148073,0.0008730909,0.0005195182,0.002409178,0.01370046,0.005766743,0.6056694,0.33587],"study_design_scores_gemma":[0.00005536789,0.0004764234,0.04004939,0.000184657,0.00005545519,0.001749474,0.0006872761,0.003224266,0.00694175,0.003253216,0.9432977,0.00002511073],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1594503,0.0458179,0.01158955,0.0474894,0.02616109,0.00008779141,0.006484356,0.001338645,0.701581],"genre_scores_gemma":[0.4967295,0.01977016,0.004575052,0.004946884,0.01196259,0.00005369067,0.005055937,0.000377714,0.4565285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09971163,"threshold_uncertainty_score":0.3335686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006078783613775503,"score_gpt":0.1868869466241335,"score_spread":0.180808163010358,"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."}}