{"id":"W1942800547","doi":"","title":"Soil moisture retrieval over the Mackenzie River basin using AMSR-E 6.9 GHz brightness temperature.","year":2007,"lang":"en","type":"article","venue":"Espace ÉTS (ETS)","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Brightness temperature; Water content; Microwave; Remote sensing; Atmospheric radiative transfer codes; Moisture; Soil science; Hydrology (agriculture); Radiative transfer; Meteorology; Geology; Geography","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":[0.0001040363,0.0001905079,0.0001204857,0.0003032057,0.0001625709,0.0002640938,0.0001795725,0.0001471982,0.0003396486],"category_scores_gemma":[0.0001843986,0.0001120826,0.0001020526,0.0002305527,0.00006160499,0.0002733201,0.0001356979,0.0001153901,0.000112142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003189761,"about_ca_system_score_gemma":0.0003361818,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05393797,"about_ca_topic_score_gemma":0.1311261,"domain_scores_codex":[0.9999661,0.000005199045,0.000002265566,0.00001149825,0.000009800699,0.0000050893],"domain_scores_gemma":[0.9999739,0.000003934248,0.00000551342,0.000003311143,0.000009543603,0.000003851433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008387771,0.0002748756,0.2923673,0.0001866444,0.0003176327,0.0006083279,0.0003360682,0.09044496,0.3501497,0.0008911747,0.002642678,0.2609419],"study_design_scores_gemma":[0.000178863,0.0001292912,0.6024742,0.00001935491,0.00008789318,0.0001067448,0.000217667,0.3641716,0.02769265,0.0003360831,0.004537288,0.0000483975],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930166,0.0001407794,0.004805806,0.00005792125,0.00000807816,0.00001451954,0.0005126989,0.0001866502,0.001256888],"genre_scores_gemma":[0.9916275,0.00006236949,0.007248237,0.000009273146,0.000003607337,0.000005969354,0.000520505,0.000008079648,0.0005144838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.946062,"threshold_uncertainty_score":0.107248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008814415138855558,"score_gpt":0.2349459118596706,"score_spread":0.2261314967208151,"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."}}