{"id":"W1963953710","doi":"10.1111/ecog.01131","title":"Elevational shifts, biotic homogenization and time lags in vegetation change during 40 years of climate warming","year":2014,"lang":"en","type":"article","venue":"Ecography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":177,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Climate change; Species richness; Homogenization (climate); Biodiversity; Ecology; Environmental science; Species distribution; Beta diversity; Global warming; Abundance (ecology); Range (aeronautics); Relative species abundance; Physical geography; Geography; Biology; Habitat","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005001196,0.0001814472,0.0001878864,0.000819679,0.0004179711,0.000521194,0.0002211096,0.0002900983,0.00114187],"category_scores_gemma":[0.001252281,0.0001264091,0.000249213,0.001064272,0.0005508796,0.00033582,0.0004688983,0.0003061415,0.000152851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001059185,"about_ca_system_score_gemma":0.000486048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1624089,"about_ca_topic_score_gemma":0.2937105,"domain_scores_codex":[0.9997697,0.00003517368,0.000013815,0.00007216958,0.00004665901,0.00006254685],"domain_scores_gemma":[0.9990838,0.0001161643,0.000417805,0.00007607581,0.0001647568,0.0001415112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008454712,0.00001594679,0.9929223,0.00001426644,0.00007629402,0.00004647324,0.0005244104,0.0003277917,0.002332469,0.00004495616,0.0001234127,0.00348714],"study_design_scores_gemma":[1.395191e-7,0.000002496371,0.9998536,4.576641e-7,9.503054e-7,0.000004111112,0.00004555795,0.00003612003,0.00001355027,0.000003412336,0.00003901605,6.468998e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990453,0.0001244016,0.00007948373,0.00002525091,0.000001834723,0.00000247403,0.0003419425,0.000006131512,0.0003731342],"genre_scores_gemma":[0.9994906,0.00004125518,0.0000501654,0.000009485786,0.00000329838,0.000002736772,0.0003134447,0.00000144522,0.00008740537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1624089,"threshold_uncertainty_score":0.3229272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01014963818432769,"score_gpt":0.2037163030863179,"score_spread":0.1935666649019902,"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."}}