{"id":"W2999580921","doi":"","title":"Mapping boreal forest deciduous fractional cover across Alaska and Western Canada","year":2018,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Deciduous; Taiga; Boreal; Geography; Forestry; Physical geography; Cover (algebra); Snow cover; Forest cover; Environmental science; Climatology; Ecology; Geology; Meteorology; Archaeology; Snow; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003700899,0.0002271945,0.0002175067,0.001957175,0.002154766,0.001143449,0.0003708696,0.0002721339,0.0008849849],"category_scores_gemma":[0.000883774,0.0001607385,0.0002076709,0.002942618,0.0003425959,0.0003542065,0.0006784782,0.0002042925,0.0001434653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007248091,"about_ca_system_score_gemma":0.008771995,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.984805,"about_ca_topic_score_gemma":0.9954463,"domain_scores_codex":[0.999787,0.00001630833,0.00001368964,0.00006730212,0.00005461999,0.00006105527],"domain_scores_gemma":[0.9991699,0.00006496576,0.00007536737,0.00002734028,0.000524519,0.000137804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001388689,0.00003452477,0.9703753,0.00003966122,0.00007557865,0.0002391321,0.002488164,0.001447936,0.003479612,0.0002614192,0.001731393,0.01968856],"study_design_scores_gemma":[0.00000459679,0.000006711868,0.992488,0.00003137875,0.00002498942,0.00004919881,0.003647428,0.0008554527,0.0002512905,0.00004831356,0.002583064,0.000009606058],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933016,0.0003407246,0.0001713837,0.00007002031,0.000006355586,0.000013986,0.002277724,0.00001638411,0.003801781],"genre_scores_gemma":[0.9955671,0.0002877759,0.0006592064,0.00003146512,0.000002441156,0.00001585534,0.001565473,0.000007138284,0.001863352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01519495,"threshold_uncertainty_score":0.05258882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02748716806035299,"score_gpt":0.2468054470255984,"score_spread":0.2193182789652454,"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."}}