{"id":"W3116839108","doi":"10.1111/ele.13667","title":"Forest responses to last‐millennium hydroclimate variability are governed by spatial variations in ecosystem sensitivity","year":2020,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"Natural Environment Research Council; Sight Research UK; National Science Foundation","keywords":"Ecosystem; Climate change; Environmental science; Forest ecology; Ecosystem model; Biodiversity; Biomass (ecology); Spatial ecology; Ecology; Temporal scales; Spatial variability; Climatology; Biology; 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":[0.0007434003,0.0002345192,0.0002271009,0.0002910502,0.00021358,0.0007853302,0.0002781466,0.0003296197,0.0006795637],"category_scores_gemma":[0.00176767,0.0002141904,0.0005160504,0.0003853288,0.0003484642,0.0006590604,0.0005575643,0.0003390982,0.00006883977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005236302,"about_ca_system_score_gemma":0.000284006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009765922,"about_ca_topic_score_gemma":0.009947083,"domain_scores_codex":[0.9998171,0.00006107773,0.00001575788,0.00005749936,0.00001842579,0.00003011865],"domain_scores_gemma":[0.9995915,0.0001563223,0.00009635233,0.0000815845,0.00003763953,0.00003654148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001448479,0.00005703563,0.6848658,0.0000823155,0.0007891944,0.00008531731,0.0001905232,0.2870006,0.01573482,0.001378695,0.0004340592,0.009236723],"study_design_scores_gemma":[0.00001981276,0.00006212144,0.7112974,0.00002070992,0.0001419768,0.00008647356,0.0002150939,0.2819278,0.002987444,0.002264992,0.0009313521,0.00004485531],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978782,0.00007835714,0.0012396,0.00007557995,0.000004636173,0.00000253253,0.0002360641,0.00002797296,0.0004570865],"genre_scores_gemma":[0.9996734,0.0000311962,0.0001482939,0.000009706509,8.899836e-7,0.000001572213,0.000100918,0.000004814787,0.00002929606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009765922,"threshold_uncertainty_score":0.01941818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005131686729235607,"score_gpt":0.1817268059632913,"score_spread":0.1765951192340557,"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."}}