{"id":"W4415688248","doi":"10.5194/tc-19-5259-2025","title":"A prototype passive microwave retrieval algorithm for tundra snow density","year":2025,"lang":"en","type":"article","venue":"The cryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Snow; Snowpack; Tundra; Arctic; Microwave; Forcing (mathematics)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003156773,0.0003992879,0.0002940323,0.0003779918,0.0002848013,0.000435422,0.0009218349,0.0004242864,0.002256263],"category_scores_gemma":[0.0006893064,0.0001896485,0.0003680642,0.0003491672,0.000105891,0.0005964666,0.0003143424,0.0003163853,0.001113578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002922999,"about_ca_system_score_gemma":0.0004929272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003898039,"about_ca_topic_score_gemma":0.00389006,"domain_scores_codex":[0.9999046,0.00001023144,0.000004859155,0.00003491339,0.00003343302,0.00001191494],"domain_scores_gemma":[0.9998527,0.00002975091,0.00001245295,0.00001930683,0.00007829258,0.000007586601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003689011,0.0001771777,0.005623847,0.0001111825,0.00008860091,0.00009967779,0.0001475025,0.1333642,0.1375015,0.005616183,0.006571872,0.7103294],"study_design_scores_gemma":[0.00005117788,0.00004228391,0.001184263,0.000004521602,0.00001368665,0.00005584297,0.00001708291,0.9831737,0.01140135,0.0008358788,0.003208903,0.00001129723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02485809,0.00005042534,0.9711865,0.00004458406,0.00003900807,0.00004349752,0.00009556317,0.00229521,0.001387125],"genre_scores_gemma":[0.2166507,0.00005473462,0.7796161,0.0000588641,0.00003121065,0.0001209087,0.0004930746,0.0001333434,0.002841152],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003898039,"threshold_uncertainty_score":0.00775069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01399667836764195,"score_gpt":0.2292813166633449,"score_spread":0.2152846382957029,"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."}}