{"id":"W3036379971","doi":"","title":"Iqaluit Calibration/Validation Supersite for Meteorological Satellites","year":2016,"lang":"en","type":"article","venue":"ESASP","topic":"GNSS positioning and interference","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Calibration; Environmental science; Remote sensing; Meteorology; Geology; Geography; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005631061,0.00005913846,0.00005984118,0.00002630724,0.00003311584,0.00002557524,0.00005867813,0.00004636074,0.0001478406],"category_scores_gemma":[0.00003600089,0.00004036667,0.00003288859,0.00002623073,0.00001583774,0.000151403,0.000006569525,0.00002403989,0.00006487653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002015089,"about_ca_system_score_gemma":0.000003172083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002080013,"about_ca_topic_score_gemma":7.322944e-7,"domain_scores_codex":[0.9996578,0.00001029424,0.00008746886,0.0000866444,0.00004597153,0.0001118659],"domain_scores_gemma":[0.9997751,0.0000864623,0.000007579161,0.00007829994,0.00002305307,0.00002954269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000444612,0.00004233022,0.002240121,0.00005904247,0.00008719547,0.000001476511,0.0006992886,0.002008364,0.8850935,0.05688876,0.02065165,0.03218381],"study_design_scores_gemma":[0.0005552065,0.000207727,0.002471743,0.00006600918,0.0000259762,0.000006226977,0.00002792239,0.0163665,0.9419814,0.004608744,0.03338838,0.000294168],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7283179,0.0002023221,0.2591738,0.0005108197,0.0004018251,0.0001743097,0.00004384102,0.0005229261,0.01065228],"genre_scores_gemma":[0.9967687,0.00002298218,0.002221019,0.00003545697,0.00008396644,0.00002435811,0.00001944865,0.000009069908,0.0008150293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2684508,"threshold_uncertainty_score":0.1646105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01796152214526011,"score_gpt":0.2152204218969341,"score_spread":0.197258899751674,"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."}}