{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007297804,0.0006025229,0.0003948936,0.001013086,0.000602562,0.0006985282,0.0008188238,0.0005241802,0.00431915],"category_scores_gemma":[0.0007162989,0.0003025935,0.0002715427,0.001022833,0.0003038192,0.001003277,0.0007449637,0.0006682526,0.001241362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004647255,"about_ca_system_score_gemma":0.001626351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01749389,"about_ca_topic_score_gemma":0.04571334,"domain_scores_codex":[0.9995047,0.00003717342,0.00001646442,0.0001278235,0.0002145975,0.00009922239],"domain_scores_gemma":[0.99933,0.00004704178,0.0001059671,0.0001122195,0.0002530704,0.0001516782],"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":[0.002587862,0.001260535,0.154351,0.000591216,0.0004499034,0.0003160254,0.0009668356,0.01212795,0.3934923,0.004483467,0.1429875,0.2863854],"study_design_scores_gemma":[0.001988119,0.001006717,0.3550099,0.00009423583,0.0005288165,0.0003753087,0.0005555672,0.1045163,0.2077345,0.002812003,0.3251001,0.0002784062],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7584061,0.000981665,0.03658872,0.001152432,0.0008251743,0.001368482,0.07867348,0.01041861,0.1115853],"genre_scores_gemma":[0.7651439,0.0004288514,0.1163622,0.001519967,0.0004978612,0.0006158997,0.08438896,0.0019989,0.0290435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01749389,"threshold_uncertainty_score":0.03478408,"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."}}