{"id":"W1929337670","doi":"","title":"CoReH2O, A Dual Frequency Radar Staellite for Cold Regions Hydrology","year":2011,"lang":"en","type":"article","venue":"International Geoscience and Remote Sensing Symposium","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Radar; Dual (grammatical number); Hydrology (agriculture); Remote sensing; Geology; Environmental science; Meteorology; Computer science; Telecommunications; Geography; Geotechnical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0002407765,0.0001312622,0.0001308486,0.000125873,0.0002580578,0.000072365,0.000168094,0.00007766467,0.0002297385],"category_scores_gemma":[0.00002893917,0.00011007,0.00005564034,0.0001233385,0.0003091365,0.0002209596,0.00002073031,0.00009057391,0.00003610635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007153056,"about_ca_system_score_gemma":0.00004205494,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01197421,"about_ca_topic_score_gemma":0.009034574,"domain_scores_codex":[0.9988903,0.00002741169,0.0002024551,0.0003552462,0.0002049538,0.0003195649],"domain_scores_gemma":[0.9994245,0.0001209249,0.00009157853,0.0001343509,0.0001054311,0.0001232565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001250753,0.0002772504,0.2933883,0.0002401749,0.000381761,0.001300195,0.03464938,0.0001318836,0.3768592,0.02161201,0.007960718,0.2619484],"study_design_scores_gemma":[0.003281377,0.002266823,0.1957996,0.0004122451,0.0001850513,0.003541878,0.001890557,0.5009893,0.009746042,0.05474952,0.2248475,0.002290149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9520187,0.0003668108,0.008008332,0.005944635,0.004069874,0.0004233086,0.001305742,0.00008813748,0.02777446],"genre_scores_gemma":[0.965254,0.001209894,0.02605599,0.003241681,0.0007070989,2.191533e-7,0.0006327326,0.00001205331,0.002886304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5008574,"threshold_uncertainty_score":0.9946051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04207116067871947,"score_gpt":0.2452555197496333,"score_spread":0.2031843590709138,"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."}}