{"id":"W2094849831","doi":"10.1098/rsbl.2009.0094","title":"Landscape modelling spatial bottlenecks: implications for raccoon rabies disease spread","year":2009,"lang":"en","type":"article","venue":"Biology Letters","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Ministry of Natural Resources and Forestry; Trent University","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University; Trent University; Ministry of Natural Resources","keywords":"Rabies; Biological dispersal; Biology; Vicariance; Bottleneck; Range (aeronautics); Ecology; Habitat; Phylogeography; Virology; Population; Genetics; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001101849,0.00008205892,0.0000825086,0.00002054669,0.0001607505,0.000007353752,0.0001267963,0.00006222844,0.0001156462],"category_scores_gemma":[0.00003272241,0.00007561056,0.00004582863,0.00004809382,0.00009067091,0.00008305645,0.00002032922,0.00004788896,0.00007707821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000262732,"about_ca_system_score_gemma":0.000006646261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000354738,"about_ca_topic_score_gemma":0.00002466796,"domain_scores_codex":[0.9993985,0.00003774516,0.0001180751,0.0002285778,0.00002287881,0.0001941947],"domain_scores_gemma":[0.9996446,0.00009147498,0.00005050595,0.0001560228,0.000004225195,0.00005312083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007378256,0.00003990574,0.9651882,0.000001404738,0.00000701909,4.406704e-7,0.00004133341,0.006650627,0.007422431,0.0007076784,0.01443949,0.005427705],"study_design_scores_gemma":[0.000273195,0.00004699771,0.9809685,0.000002146496,0.00001938842,9.364778e-7,0.00000404283,0.007428986,0.00006091568,0.00542673,0.005647053,0.000121155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7936408,0.00002761998,0.1504441,0.05532968,0.0001056706,0.0002042025,0.00001949945,0.0000426359,0.0001858105],"genre_scores_gemma":[0.9833436,0.00001054837,0.001698824,0.01462082,0.0001111043,0.00006383544,0.00009954988,0.000004320734,0.00004737474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1897029,"threshold_uncertainty_score":0.3083309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01691662307136673,"score_gpt":0.2382357056833659,"score_spread":0.2213190826119992,"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."}}