{"id":"W2810657177","doi":"10.1111/gcb.14373","title":"Climatic, topographic, and anthropogenic factors determine connectivity between current and future climate analogs in North America","year":2018,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Wilburforce Foundation","keywords":"Current (fluid); Climate change; Geography; Physical geography; Environmental science; Climatology; Environmental resource management; Oceanography; Geology","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":[0.0002078761,0.00008317888,0.00008919738,0.0006554039,0.0003568582,0.0004895322,0.0001419076,0.0001081994,0.0008461552],"category_scores_gemma":[0.0009817675,0.00009223975,0.0001172469,0.0006680409,0.0003760355,0.0004006596,0.0004152046,0.000150378,0.00004325943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004005083,"about_ca_system_score_gemma":0.000309706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05647955,"about_ca_topic_score_gemma":0.200397,"domain_scores_codex":[0.9999202,0.00001904768,0.000005059808,0.00002912735,0.00001117772,0.00001532755],"domain_scores_gemma":[0.9994885,0.0001577703,0.0001890743,0.00002471553,0.00006800011,0.00007185894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002314051,0.00001177716,0.9931737,0.00001076089,0.00003035011,0.00008779064,0.0005743491,0.0008588608,0.0008428259,0.0001651827,0.0001592621,0.00406205],"study_design_scores_gemma":[0.000001004598,0.000003862529,0.9986554,0.000002942315,0.0000057495,0.00002897568,0.0003568304,0.0006918295,0.00001753412,0.00009676133,0.0001372299,0.000001771804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994369,0.00005455631,0.00005925274,0.00002190406,5.672985e-7,0.000001326452,0.00005716078,0.000002897266,0.000365414],"genre_scores_gemma":[0.9996787,0.0000508047,0.0001105612,0.00000523428,0.000001291795,0.000002048253,0.00009265348,0.000001327878,0.00005727967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05647955,"threshold_uncertainty_score":0.1123016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03411828524352561,"score_gpt":0.2985689443581339,"score_spread":0.2644506591146082,"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."}}