{"id":"W2159344802","doi":"10.1890/10-0968.1","title":"Reproductive rate and body size predict road impacts on mammal abundance","year":2010,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Abundance (ecology); Range (aeronautics); Ecology; Relative species abundance; Population density; Mammal; Biology; Reproductive success; Population size; Population; 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000218445,0.0001027372,0.00009020008,0.00001319291,0.000282798,0.00004187961,0.0001388207,0.00008079556,0.002832982],"category_scores_gemma":[0.00026774,0.00008189126,0.00002876982,0.0001696449,0.0002175549,0.0001677632,0.00008725341,0.0002643634,0.0008931254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005015419,"about_ca_system_score_gemma":0.000008696866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007760242,"about_ca_topic_score_gemma":0.0001314438,"domain_scores_codex":[0.999093,0.0000327122,0.0001607461,0.0004430453,0.00009544002,0.0001750313],"domain_scores_gemma":[0.9992681,0.0001859044,0.00008225937,0.0003433794,0.0000146188,0.0001057605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001696663,0.002161035,0.5003864,0.000009483683,0.00004294517,0.000006831397,0.0002415086,0.0002905089,0.3935464,0.02099717,0.03421524,0.04793275],"study_design_scores_gemma":[0.0001126266,0.0001092191,0.9360356,0.000001389035,0.00000647986,0.000008659613,0.00001600888,0.0002923462,0.0008847152,0.003052911,0.0593854,0.00009469938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778247,0.000003173333,0.0002076954,0.004405587,0.00008278948,0.0004888547,0.00001263197,0.0000748019,0.01689974],"genre_scores_gemma":[0.9955127,0.00001276454,0.001335254,0.0008665515,0.0001436024,0.0005023617,0.000008191533,0.000006325974,0.001612251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4356491,"threshold_uncertainty_score":0.9998848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007202335847364393,"score_gpt":0.2385721947865684,"score_spread":0.2313698589392039,"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."}}