{"id":"W2952416812","doi":"10.1111/gcb.14568","title":"Four decades of plant community change along a continental gradient of warming","year":2019,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Climate change; Global warming; Species richness; Vegetation (pathology); Ecology; Environmental science; Magnitude (astronomy); Species distribution; Geography; Physical geography; Habitat; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005694273,0.0001171173,0.0002066541,0.0007204813,0.0005592409,0.0005317997,0.0003417022,0.0003871331,0.001108953],"category_scores_gemma":[0.0009457781,0.0001114055,0.0002230735,0.0007862576,0.0003854667,0.0003432044,0.0004218957,0.0003593519,0.0001260675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001390722,"about_ca_system_score_gemma":0.0005808904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1478468,"about_ca_topic_score_gemma":0.2651023,"domain_scores_codex":[0.9998009,0.00003840715,0.00001199968,0.00005893718,0.00003360696,0.00005614078],"domain_scores_gemma":[0.9991907,0.00009676418,0.0001995362,0.00009193183,0.0002794442,0.0001415901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001261215,0.00002136928,0.9842535,0.00003696893,0.000158319,0.00007553703,0.0009291999,0.000219194,0.005346436,0.00006890166,0.0002211729,0.008543214],"study_design_scores_gemma":[2.937254e-7,0.000008381105,0.9995753,0.000001825749,0.000004893851,0.000007470934,0.0001327818,0.00003980155,0.00005327519,0.000004388213,0.0001705274,0.000001077012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987004,0.0002557148,0.0000967989,0.00005054896,0.000004941494,0.000003459164,0.0003993578,0.000007098312,0.0004817499],"genre_scores_gemma":[0.9991978,0.00007924018,0.0001003826,0.00002480578,0.000003936199,0.000003328277,0.0003681512,0.000001395197,0.0002210066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1478468,"threshold_uncertainty_score":0.2939724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09133159887004631,"score_gpt":0.2866562744559007,"score_spread":0.1953246755858544,"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."}}