{"id":"W2164683520","doi":"10.1111/ele.12500","title":"Climate change‐associated tree mortality increases without decreasing water availability","year":2015,"lang":"en","type":"letter","venue":"Ecology Letters","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada","keywords":"Climate change; Ecology; Global warming; Global change; Taiga; Boreal; Competition (biology); Environmental science; Effects of global warming; Tree (set theory); Geography; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001021487,0.0005116335,0.0006389164,0.0001002518,0.0002552715,0.00006730811,0.000506281,0.0009947431,0.001401852],"category_scores_gemma":[0.00008029116,0.0004091506,0.0001939958,0.0001263376,0.0005309366,0.0002708212,0.0005624144,0.001270465,0.001642042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113091,"about_ca_system_score_gemma":0.00001734821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002308465,"about_ca_topic_score_gemma":0.004716041,"domain_scores_codex":[0.9962186,0.0006107381,0.0005135738,0.0008623276,0.0005080198,0.00128673],"domain_scores_gemma":[0.9987918,0.0001162429,0.0002569344,0.0006602313,0.00001925945,0.0001556043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001411584,0.00008801423,0.7379345,0.00001772697,0.0001118597,0.0004355136,0.0001406709,0.00005942072,0.0002419864,0.000001009267,0.2608222,0.00013298],"study_design_scores_gemma":[0.001378967,0.0001481013,0.8515205,0.00008155813,0.000907833,0.0001625219,0.0000109554,0.004155472,0.00007309734,0.0007588715,0.1389186,0.001883465],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.8586428,0.000007613355,0.000005476729,0.1363474,0.000507973,0.000521214,0.0002491646,0.0001636301,0.003554806],"genre_scores_gemma":[0.3077344,0.00002469573,0.000224424,0.68594,0.0009246768,0.0001916907,0.004258284,0.0001084251,0.0005934308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5509084,"threshold_uncertainty_score":0.999836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02335603896806474,"score_gpt":0.231482058647189,"score_spread":0.2081260196791243,"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."}}