{"id":"W1600707850","doi":"10.5751/es-02993-140213","title":"Can Road-Crossing Structures Improve Population Viability of an Urban Gliding Mammal?","year":2009,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Griffith University","keywords":"Geography; Population; Mammal; Ecology; Environmental resource management; Biology; Environmental science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001617822,0.00006013992,0.0000864583,0.000005737149,0.000311822,0.00002317208,0.00004558485,0.00009150309,0.0001702389],"category_scores_gemma":[0.00002004861,0.00005605731,0.00004071827,0.00005395291,0.0001253038,0.0002177278,0.00002105223,0.0000856167,7.931025e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008200551,"about_ca_system_score_gemma":0.000008078294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006381273,"about_ca_topic_score_gemma":0.0003203794,"domain_scores_codex":[0.9994936,0.00003960953,0.0001365338,0.0001670831,0.00005307256,0.0001100879],"domain_scores_gemma":[0.9997633,0.00001964785,0.00007752352,0.00009888185,0.000007093588,0.00003358304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009210145,0.00004138923,0.9680564,0.000003350001,0.000006092722,2.286286e-7,0.001869402,0.0001517023,0.01537581,0.0002525969,0.0002114129,0.01402239],"study_design_scores_gemma":[0.0001139669,0.00009593991,0.991328,0.000001184533,0.000007218835,0.000002309141,0.0002789811,0.003895321,0.0007432213,0.003369149,0.0001068298,0.00005787684],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999109,0.000004838961,0.00003166693,0.0003685694,0.00009918679,0.00008251106,0.000003767994,0.00001462522,0.0002858627],"genre_scores_gemma":[0.9981065,0.000002325554,0.001271203,0.0004945122,0.00003557457,0.000002013133,0.00001154839,0.000002293379,0.00007407312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02327158,"threshold_uncertainty_score":0.2398314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006353612854129277,"score_gpt":0.2372582699063605,"score_spread":0.2309046570522312,"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."}}