{"id":"W3185818732","doi":"10.1080/17538947.2021.1950852","title":"The influence of tree transmissivity variations in winter on satellite snow parameter observations","year":2021,"lang":"en","type":"article","venue":"International Journal of Digital Earth","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; Seventh Framework Programme","keywords":"Snow; Brightness temperature; Microwave; Environmental science; Remote sensing; Satellite; Water content; Taiga; Vegetation (pathology); Atmospheric sciences; Meteorology; Geology; Geography; Physics","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":[0.000616018,0.0003361739,0.0002029816,0.0003163467,0.0001964644,0.0004004234,0.0002232541,0.000259116,0.0002503211],"category_scores_gemma":[0.002054272,0.0001487565,0.0003628147,0.0004995965,0.0001843912,0.0004237706,0.0002287526,0.0002232907,0.000106038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003641967,"about_ca_system_score_gemma":0.0002820096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009176864,"about_ca_topic_score_gemma":0.01147765,"domain_scores_codex":[0.999734,0.00005510134,0.00001766972,0.00007777786,0.00007908152,0.00003635456],"domain_scores_gemma":[0.999347,0.0004075609,0.00008429473,0.0000714937,0.00007281915,0.00001674155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007472161,0.0001204196,0.3687561,0.0002554613,0.0002940079,0.0005018236,0.0004752603,0.3321448,0.1775353,0.0009186651,0.0007113732,0.1175396],"study_design_scores_gemma":[0.00001477738,0.0001351253,0.4678861,0.00001454621,0.00009533003,0.0002124451,0.00007271698,0.4939705,0.03652726,0.0003012709,0.000743334,0.00002662073],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799255,0.0001804825,0.01847092,0.00002551062,0.00001845222,0.00001155419,0.0003184893,0.0001169321,0.0009322353],"genre_scores_gemma":[0.9967529,0.0001152101,0.002645955,0.000009498349,0.000005051255,0.000006085509,0.0002904615,0.00002080884,0.0001539282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009176864,"threshold_uncertainty_score":0.01824689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02527876382836926,"score_gpt":0.2372306690112682,"score_spread":0.211951905182899,"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."}}