{"id":"W2141014347","doi":"10.1109/lgrs.2004.842469","title":"Boreal Forest Transmissivity in the Microwave Domain Using Ground-Based Measurements","year":2005,"lang":"en","type":"article","venue":"IEEE Geoscience and Remote Sensing Letters","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Microwave; Remote sensing; Radiometry; Taiga; Snow; Radiometer; Environmental science; Microwave imaging; Microwave radiometer; Water equivalent; Geology; Physics; Meteorology; Geography; Forestry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001247106,0.0003420957,0.0001222028,0.0002965522,0.0002771232,0.000304169,0.0002544587,0.0001118444,0.0003500319],"category_scores_gemma":[0.0003681454,0.00009243849,0.0001199847,0.0004349459,0.000131212,0.0002930843,0.0001354329,0.0001178419,0.00008712649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007414123,"about_ca_system_score_gemma":0.0005609553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2419018,"about_ca_topic_score_gemma":0.4497412,"domain_scores_codex":[0.9998879,0.00001023374,0.000002532348,0.00002707167,0.00005150055,0.00002073918],"domain_scores_gemma":[0.9999068,0.00001380035,0.0000165699,0.00000758116,0.00004896041,0.000006230379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000508779,0.000102933,0.2566897,0.0002745522,0.000230586,0.0002263362,0.0004432753,0.1259132,0.2741394,0.00164112,0.001240336,0.3385898],"study_design_scores_gemma":[0.00003951845,0.0001390303,0.6676788,0.00003983562,0.0002081546,0.0004120571,0.00033258,0.2434211,0.07884909,0.0005475492,0.00825657,0.00007577994],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9475892,0.000678247,0.04660187,0.0000307913,0.00000864255,0.0000198,0.0004161081,0.0005216391,0.004133678],"genre_scores_gemma":[0.986474,0.0002116542,0.01259176,0.000007574396,0.000003843909,0.000004264251,0.0003028425,0.0000181507,0.0003857877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2419018,"threshold_uncertainty_score":0.4809875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02374306399063383,"score_gpt":0.2362864974496607,"score_spread":0.2125434334590268,"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."}}