{"id":"W813095008","doi":"","title":"Passive Microwave Remote Sensing of Falling Snow and Associated GPM Field Campaigns","year":2011,"lang":"en","type":"article","venue":"NASA STI Repository (National Aeronautics and Space Administration)","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snow; Environmental science; Satellite; Advanced Microwave Sounding Unit; Meteorology; Remote sensing; Radar; Precipitation; Microwave; Geology; Geography; Aerospace engineering; Computer science; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001313486,0.0001180846,0.0001531166,0.00002580172,0.0003514348,0.00004504878,0.00004754943,0.00008572866,0.00005333034],"category_scores_gemma":[0.0002147925,0.0001110664,0.0000340636,0.0001122855,0.000107994,0.000106507,0.00001342296,0.0001018809,0.000001370604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009683945,"about_ca_system_score_gemma":0.0001225805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005567433,"about_ca_topic_score_gemma":0.002427318,"domain_scores_codex":[0.999099,0.00003476552,0.0002685295,0.0002031059,0.0002554658,0.0001391839],"domain_scores_gemma":[0.9990391,0.000364937,0.0001911219,0.00007227148,0.0002520374,0.00008057024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004085808,0.0002229204,0.8963397,0.0001553293,0.0007233102,0.0001308971,0.006717048,0.0005023323,0.004133026,0.01338899,0.001538765,0.07573913],"study_design_scores_gemma":[0.0002469534,0.000335399,0.9832105,0.00004624132,0.00004757373,0.00003811033,0.0006557673,0.0105195,0.001647186,0.002642479,0.000431579,0.0001787145],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884424,0.0003002154,0.003477399,0.0006537999,0.0002214597,0.0001351538,0.00004215732,0.0000203296,0.006707077],"genre_scores_gemma":[0.9872548,0.00007897542,0.01200415,0.0001526734,0.00006046559,1.828292e-7,0.00005008431,0.000003278478,0.0003953686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08687082,"threshold_uncertainty_score":0.4529155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02874691059205237,"score_gpt":0.2270717568976194,"score_spread":0.198324846305567,"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."}}