{"id":"W2123515104","doi":"10.1002/hyp.7648","title":"Assessing the effects of post‐pine beetle forest litter on snow albedo","year":2010,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge; Government of British Columbia","funders":"","keywords":"Snow; Albedo (alchemy); Canopy; Environmental science; Litter; Interception; Atmospheric sciences; Plant litter; Forest floor; Leaf area index; Ecology; Geography; Ecosystem; Soil water; Biology; Soil science; Meteorology; Geology","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":[0.0002678809,0.0001828156,0.0002166359,0.0002159527,0.0002503282,0.0003687243,0.0001100538,0.0001175103,0.000921251],"category_scores_gemma":[0.0006325527,0.0001112176,0.0001397112,0.0001388861,0.0001454477,0.0001495812,0.000127367,0.0001405408,0.0001575519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004167673,"about_ca_system_score_gemma":0.0003504037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04422148,"about_ca_topic_score_gemma":0.1188495,"domain_scores_codex":[0.9998982,0.00002725785,0.000003802769,0.00001723051,0.00003312256,0.00002036257],"domain_scores_gemma":[0.9995117,0.0001557373,0.000115784,0.00002735845,0.0001000299,0.00008927818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000847487,0.0001462536,0.8963262,0.00005226688,0.000130306,0.0000913121,0.0001530024,0.001247042,0.08635083,0.000021393,0.0001049549,0.01452891],"study_design_scores_gemma":[0.000001127082,0.00004913128,0.9982985,8.850937e-7,0.000006882447,0.000007415812,0.00002083934,0.0002838527,0.001277956,0.000004956687,0.00004769649,7.306458e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994786,0.00007205869,0.00008279522,0.00000444331,7.610043e-7,0.000003142817,0.00007981969,0.000003739081,0.0002745808],"genre_scores_gemma":[0.9993787,0.00005263081,0.0001297887,0.000007214283,0.000001807009,0.000002788607,0.0001583707,0.000002527286,0.0002662045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04422148,"threshold_uncertainty_score":0.08792818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01726244490911516,"score_gpt":0.2449278268130262,"score_spread":0.227665381903911,"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."}}