{"id":"W3042580730","doi":"10.5194/tc-14-2235-2020","title":"The Copernicus Polar Ice and Snow Topography Altimeter (CRISTAL) high-priority candidate mission","year":2020,"lang":"en","type":"article","venue":"The cryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Payload (computing); Copernicus; Remote sensing; Altimeter; Earth observation; Ground segment; Meteorology; Geology; Computer science; Aerospace engineering; Geography; Physics; Engineering; Astrobiology; Satellite","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001893118,0.0001797696,0.0001766453,0.000003524755,0.001294253,0.0001847772,0.0003361472,0.00005843509,0.001424362],"category_scores_gemma":[0.00004734529,0.00009481116,0.00007979987,0.0003359961,0.0001938755,0.0001116366,0.00006257316,0.0002273304,0.0001213669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004041826,"about_ca_system_score_gemma":0.00003399772,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0189357,"about_ca_topic_score_gemma":0.02975943,"domain_scores_codex":[0.9988054,0.00009436514,0.0002154432,0.0002960804,0.0002496322,0.0003390982],"domain_scores_gemma":[0.9990478,0.0003544055,0.00008352269,0.0002756928,0.00004858664,0.0001899909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001912813,0.00002272608,0.7657652,0.00003621533,0.0001823279,0.00002361433,0.002175569,0.0004124681,0.00006821522,0.0002355412,0.08995382,0.140933],"study_design_scores_gemma":[0.0002180279,0.00009441408,0.5125005,0.00000825485,0.00003653734,0.000002955052,0.000913993,0.002840404,0.000009700712,0.0002224002,0.4830076,0.0001451588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9593785,0.02009825,0.0002066192,0.01679392,0.0006409876,0.0004351614,0.0002054375,0.00009820786,0.002142921],"genre_scores_gemma":[0.9945066,0.001507903,0.0003872979,0.002517742,0.0002484191,0.000001926268,0.00003607822,0.000007125815,0.0007868882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3930538,"threshold_uncertainty_score":0.9994885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01329554707741011,"score_gpt":0.2059828161408631,"score_spread":0.192687269063453,"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."}}