{"id":"W2801382935","doi":"10.1007/s10113-018-1337-3","title":"Importance of climate uncertainty for projections of forest ecosystem services","year":2018,"lang":"en","type":"article","venue":"Regional Environmental Change","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Climate change; Downscaling; Baseline (sea); Environmental science; Biodiversity; Ecosystem; Forest ecology; Climate model; Ecosystem services; Climate change scenario; Environmental resource management; Geography; Physical geography; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001270244,0.0000981863,0.00015178,0.00002618653,0.0001429524,0.000001533827,0.0001162977,0.00004899385,0.0002728231],"category_scores_gemma":[0.000002910093,0.00008943371,0.00007125142,0.00006553916,0.0003592862,0.0001168489,0.0001077715,0.00003077062,0.00005103839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009378421,"about_ca_system_score_gemma":0.000002569193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007484994,"about_ca_topic_score_gemma":0.004791557,"domain_scores_codex":[0.9992473,0.00001765334,0.0002242388,0.0002011482,0.0001358342,0.0001738845],"domain_scores_gemma":[0.9995608,0.00005152117,0.0002210338,0.0001307776,0.000005043361,0.00003082439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006115734,0.0001375537,0.996597,0.0001201875,0.000029495,3.368933e-7,0.0008132891,0.0001934801,0.000937898,0.0007701599,0.00007034717,0.0002691241],"study_design_scores_gemma":[0.0004600675,0.000441987,0.9816378,0.00004310971,0.0000352807,0.000006835209,0.0007038366,0.0112969,0.0003554055,0.0007993357,0.004068267,0.0001511685],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975665,0.00006664352,0.00006792112,0.0001495546,0.00007653653,0.0004678176,0.0001594666,0.000009789699,0.001435836],"genre_scores_gemma":[0.9986637,0.0002425319,0.0005427489,0.0001472731,0.0000673169,0.0001688825,0.00005669396,0.000009300771,0.0001015946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01495917,"threshold_uncertainty_score":0.3647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0250207249695303,"score_gpt":0.2511006715477016,"score_spread":0.2260799465781713,"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."}}