{"id":"W1941715952","doi":"10.1111/j.1365-2486.2007.01524.x","title":"Simulated glacial and interglacial vegetation across Africa: implications for species phylogenies and trans‐African migration of plants and animals","year":2007,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Last Glacial Maximum; Glacial period; Interglacial; Climate change; Ecology; Homo sapiens; Vegetation (pathology); Geography; Population; Context (archaeology); Physical geography; Geology; Paleontology; Biology","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":[0.0003957428,0.0004214075,0.0003139126,0.0003781232,0.0005252924,0.0005182578,0.0006581192,0.0008593377,0.001919069],"category_scores_gemma":[0.001314062,0.0002393496,0.00049501,0.0006148574,0.0005204039,0.0003808868,0.0004221101,0.0004595926,0.0001111739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009030398,"about_ca_system_score_gemma":0.0006479532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0364102,"about_ca_topic_score_gemma":0.02261593,"domain_scores_codex":[0.9998983,0.0000502314,0.0000041133,0.00001816709,0.000007249554,0.0000217956],"domain_scores_gemma":[0.9996202,0.0002187664,0.00004024604,0.00002910644,0.00003833198,0.00005325498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001194352,0.00005638395,0.02064774,0.00001659105,0.00005619976,0.00006078753,0.00004537063,0.9763119,0.0007534868,0.0006306792,0.0001975225,0.001103947],"study_design_scores_gemma":[0.0001463968,0.0000772627,0.01012054,0.00001059242,0.0000336915,0.00001904233,0.000112025,0.9879875,0.0004779675,0.0006027848,0.0003969589,0.00001514842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974927,0.00004075867,0.0008382992,0.00009147082,0.000007218277,0.000006203464,0.0004918945,0.00003034554,0.001001114],"genre_scores_gemma":[0.9988654,0.00002401367,0.000610617,0.00002147221,0.000002100807,0.00001312087,0.0002747648,0.00001040572,0.0001780493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0364102,"threshold_uncertainty_score":0.07239658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07362343014562467,"score_gpt":0.3259182033276506,"score_spread":0.2522947731820259,"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."}}