{"id":"W2334662551","doi":"10.1111/ecog.01998","title":"Climate refugia and migration requirements in complex landscapes","year":2016,"lang":"en","type":"article","venue":"Ecography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Bundesministerium für Bildung und Forschung; Bureau of Educational and Cultural Affairs; Genome Canada; University of California Berkeley; Alexander von Humboldt-Stiftung; American Friends of the Alexander von Humboldt Foundation","keywords":"Glacial period; Climate change; Interglacial; Ecology; Habitat; Last Glacial Maximum; Geography; Physical geography; Geology; Biology; Paleontology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004115484,0.0001361994,0.0001527263,0.0005961032,0.0003361308,0.0006046728,0.0002023738,0.0001764187,0.0009263583],"category_scores_gemma":[0.002357233,0.0001022679,0.0001930979,0.0005735906,0.0003350347,0.0006167638,0.0003659049,0.0002385829,0.00008818132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003152884,"about_ca_system_score_gemma":0.0001675107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005435154,"about_ca_topic_score_gemma":0.01648481,"domain_scores_codex":[0.9998708,0.0000427633,0.00001138758,0.00004276196,0.00001334009,0.000018941],"domain_scores_gemma":[0.9987203,0.0004923018,0.0005110465,0.0001180435,0.0000840096,0.00007432255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006777377,0.00002161399,0.9724807,0.00002073771,0.00006067026,0.00006877084,0.0003091203,0.01481908,0.002870508,0.0008652267,0.0001170484,0.008298742],"study_design_scores_gemma":[0.000004249785,0.000027787,0.9748507,0.000004808299,0.0000164007,0.0001022811,0.0002298204,0.02341613,0.0001687505,0.0008383477,0.0003329912,0.000007635765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990898,0.00003131309,0.0006001139,0.00001228237,6.097151e-7,0.000001008735,0.00004138444,0.000005089924,0.0002184196],"genre_scores_gemma":[0.99929,0.00002441748,0.0005703077,0.000002907099,9.992488e-7,0.000001754673,0.00007763233,0.000002808884,0.00002920545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005435154,"threshold_uncertainty_score":0.01080704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02777257288959109,"score_gpt":0.2527425742293742,"score_spread":0.2249700013397831,"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."}}