{"id":"W1902370501","doi":"10.1002/jwmg.592","title":"Road kill hotspots do not effectively indicate mitigation locations when past road kill has depressed populations","year":2013,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Parks Canada","funders":"Parks Canada","keywords":"Wildlife; Habitat; Geography; Road traffic; Hotspot (geology); Traffic volume; Population; Habitat destruction; Ecology; Biology; Transport engineering; Demography; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004580011,0.0002445302,0.0002625055,0.0003170197,0.0004222368,0.0003329107,0.0004246414,0.00008531905,0.00174554],"category_scores_gemma":[0.00006996357,0.0002196242,0.0001822327,0.0004064281,0.0001359032,0.001576381,0.0001798689,0.0002758334,0.0009462132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004300303,"about_ca_system_score_gemma":0.0000201197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001104125,"about_ca_topic_score_gemma":0.00007119462,"domain_scores_codex":[0.9976298,0.0001650776,0.0008283759,0.0003196505,0.0007412083,0.0003158611],"domain_scores_gemma":[0.9983988,0.00005146132,0.0008416581,0.0003829249,0.0001143753,0.000210723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001049895,0.001035174,0.3884505,0.00005773581,0.0004687285,0.00003125591,0.001688058,0.02124973,0.002650584,0.0007927726,0.4214635,0.1620069],"study_design_scores_gemma":[0.0007155794,0.0001158629,0.9635041,0.0001110063,0.0001381956,0.0000210802,0.0003313165,0.002053119,0.00008405237,0.0013549,0.0313349,0.0002359393],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9597051,0.00003181581,0.01113193,0.02196604,0.0006683766,0.0008964093,0.000007583513,0.00004503184,0.005547733],"genre_scores_gemma":[0.9886957,0.00003946217,0.006367784,0.003225155,0.000211485,0.0001069137,0.00001704072,0.00002780377,0.001308593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5750536,"threshold_uncertainty_score":0.9998317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01902822598381875,"score_gpt":0.2390378024341909,"score_spread":0.2200095764503721,"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."}}