{"id":"W3047292534","doi":"","title":"Esa Cryovex 2011 Airborne Campaign For Cryosat-2 Calibration And Validation","year":2011,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Calibration; Environmental science; Remote sensing; Meteorology; Computer science; Geography; Mathematics; Statistics","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":[0.0005461091,0.0001251967,0.0001392705,0.00005303779,0.0002278702,0.00005667819,0.00009596064,0.00009651126,0.0002168394],"category_scores_gemma":[0.0002563359,0.0001024,0.00003785286,0.00005722292,0.00004899443,0.0002946879,0.000007105856,0.00008500391,0.00006302858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002688515,"about_ca_system_score_gemma":0.0000192337,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006688756,"about_ca_topic_score_gemma":0.002957829,"domain_scores_codex":[0.9989862,0.00006125553,0.0002976754,0.0002666782,0.0001330865,0.0002551465],"domain_scores_gemma":[0.9991103,0.0004303244,0.0001417069,0.0001245031,0.00004988078,0.0001433054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001382372,0.0000653426,0.9595596,0.00005018217,0.00003178215,0.000006314822,0.001344745,0.02169053,0.0002809358,0.0006146728,0.0005714345,0.01564621],"study_design_scores_gemma":[0.0002781499,0.0001944559,0.9728438,0.00001134202,0.00002612472,0.000002274364,0.00009336202,0.01533675,0.0003581269,0.01014157,0.0005412775,0.0001727114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799977,0.0001413888,0.0009274706,0.0001029443,0.0001740708,0.0002770901,0.00003427547,0.00007164442,0.01827339],"genre_scores_gemma":[0.9912974,0.0000145787,0.008085107,0.0001912548,0.000114487,0.000004141509,0.0001664851,0.000004538398,0.0001219592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01815143,"threshold_uncertainty_score":0.9999258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05106510949870369,"score_gpt":0.2342093262985111,"score_spread":0.1831442167998074,"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."}}