{"id":"W1978269838","doi":"10.3189/172756402781817680","title":"Snow-cover variations over the Mackenzie River basin, Canada, derived from SSM/I passive-microwave satellite data","year":2002,"lang":"en","type":"article","venue":"Annals of Glaciology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snow; Environmental science; Special sensor microwave/imager; Snow cover; Land cover; Satellite; Deciduous; Latitude; Climatology; Structural basin; Remote sensing; Meteorology; Microwave; Geology; Geography; Land use","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001241166,0.0001370083,0.0002344862,0.00001435205,0.0002683302,0.00001666784,0.0005264013,0.00007368264,0.008143012],"category_scores_gemma":[0.0002318938,0.0000955615,0.00004977541,0.0001677334,0.0002543058,0.0001451453,0.00007812252,0.0001263591,0.0001139076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004065702,"about_ca_system_score_gemma":0.00007985771,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5582523,"about_ca_topic_score_gemma":0.7090127,"domain_scores_codex":[0.9988286,0.0001225666,0.0002847735,0.0002993473,0.0001560956,0.0003085502],"domain_scores_gemma":[0.9981077,0.0009526055,0.0001638501,0.0006064682,0.0001030905,0.00006630661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003551996,0.00003697474,0.5548345,0.000005143186,0.0003536135,0.0000178914,0.001165061,0.0003674312,0.00005390084,0.0004269404,0.3950197,0.04768329],"study_design_scores_gemma":[0.0001206835,0.00002455413,0.7746058,0.000004188528,0.00002551078,0.000001332343,0.0001275159,0.00328874,0.00002787799,0.0007071734,0.2209705,0.00009614653],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674096,0.006411273,0.000467029,0.01662687,0.0007701704,0.0002053639,0.005141412,0.0000187288,0.002949556],"genre_scores_gemma":[0.9867353,0.003097974,0.0004754493,0.007954258,0.000186737,0.000001280815,0.00123857,0.000004027765,0.0003063956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2197713,"threshold_uncertainty_score":0.9927637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07879824357467179,"score_gpt":0.2561563097956872,"score_spread":0.1773580662210154,"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."}}