{"id":"W4245640354","doi":"10.5194/hessd-11-223-2014","title":"Modelled sensitivity of the snow regime to topography, shrub fraction and shrub height","year":2014,"lang":"en","type":"preprint","venue":"","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Environment Research Council; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Snow; Shrub; Snowmelt; Snow field; Environmental science; Atmospheric sciences; Vegetation (pathology); Snow line; Spatial variability; Geology; Snow cover; Geomorphology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002030249,0.0004722893,0.0003795893,0.0002387069,0.0003379665,0.0008372435,0.0006472684,0.0007630545,0.001910625],"category_scores_gemma":[0.0005242347,0.0002976827,0.0007201518,0.0004077076,0.0003160935,0.0003756817,0.0002765023,0.0004495243,0.0002893125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007138801,"about_ca_system_score_gemma":0.000594752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03501497,"about_ca_topic_score_gemma":0.02228399,"domain_scores_codex":[0.9999043,0.00002073653,0.000006123279,0.00002642759,0.00001150278,0.00003087013],"domain_scores_gemma":[0.9997837,0.00009304353,0.00002290301,0.00003045901,0.00004076783,0.00002916042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009911132,0.00004355239,0.0194982,0.00003178543,0.00007899297,0.00009251865,0.00002440101,0.9726464,0.005879296,0.0001659661,0.0001544735,0.001285428],"study_design_scores_gemma":[0.00008038804,0.0001003431,0.02461925,0.000009937277,0.00005161558,0.00003561328,0.00005785332,0.9719649,0.002349925,0.0002563689,0.0004510795,0.00002276178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959205,0.00004795515,0.001014698,0.00003441959,0.000008023196,0.00001240113,0.001091102,0.00008045955,0.001790397],"genre_scores_gemma":[0.9986936,0.00002517773,0.0003984024,0.00001082026,0.000001574222,0.00000922149,0.0005682288,0.00001298912,0.0002800325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03501497,"threshold_uncertainty_score":0.06962234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01980295439166021,"score_gpt":0.2148793969764914,"score_spread":0.1950764425848312,"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."}}