{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00281604,0.0008030813,0.0004673693,0.001492702,0.001084931,0.001360544,0.001604298,0.0008614368,0.00843356],"category_scores_gemma":[0.003612211,0.0004238591,0.0006629201,0.001090045,0.0004285529,0.001185687,0.001938947,0.001326508,0.009352125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008877635,"about_ca_system_score_gemma":0.002049669,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01267977,"about_ca_topic_score_gemma":0.0186453,"domain_scores_codex":[0.9979759,0.0003295502,0.00008202089,0.0002995285,0.001084988,0.0002280445],"domain_scores_gemma":[0.997573,0.0002027606,0.000165977,0.0007959919,0.001120248,0.0001419931],"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":[0.004283178,0.0008405917,0.07786756,0.000721855,0.000689777,0.0005683666,0.001368745,0.07251875,0.2246241,0.0199508,0.1176441,0.4789222],"study_design_scores_gemma":[0.0008945583,0.001298281,0.1196545,0.0002994762,0.0004069196,0.000537346,0.0005447346,0.3019462,0.2696639,0.004672344,0.2998074,0.0002742802],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2659002,0.0006758732,0.4567397,0.0007003848,0.0006951883,0.0008102137,0.03224827,0.05410449,0.1881255],"genre_scores_gemma":[0.5494428,0.0001774459,0.3154799,0.0007311804,0.0001533297,0.0006834629,0.08923236,0.01040028,0.03369918],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9873202,"threshold_uncertainty_score":0.02821302,"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."}}