{"id":"W4318832653","doi":"10.15788/ndot2022.1.4","title":"Animal Vehicle Collision Reduction and Habitat Connectivity Cost Effective Solutions - Final Report","year":2022,"lang":"en","type":"report","venue":"","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nevada Department of Transportation; Arizona Department of Transportation; U.S. Department of Transportation","keywords":"Wildlife; Fencing; Habitat; Collision; Environmental science; Transport engineering; Wildlife corridor; Environmental resource management; Computer science; Business; Ecology; Engineering; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004233595,0.0007850975,0.0003654914,0.002402078,0.0008391225,0.00278131,0.002018217,0.001418992,0.04532333],"category_scores_gemma":[0.005755625,0.0003301609,0.000987432,0.001477824,0.0002652414,0.001087984,0.001082993,0.0009856556,0.006369145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003847616,"about_ca_system_score_gemma":0.0117664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03705698,"about_ca_topic_score_gemma":0.04665796,"domain_scores_codex":[0.9962275,0.0008211715,0.0001346595,0.0001814124,0.002177612,0.0004577382],"domain_scores_gemma":[0.9944231,0.0005551045,0.0002492266,0.0002076952,0.004118626,0.0004463483],"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":[0.0002489993,0.001684803,0.004827755,0.0013997,0.00008095423,0.0001463615,0.0002596268,0.004306283,0.002707641,0.01291518,0.5409801,0.4304426],"study_design_scores_gemma":[0.0003244544,0.002124388,0.02330079,0.001381852,0.0001969395,0.0001453765,0.001837916,0.003788555,0.00846124,0.003435621,0.9549419,0.00006098201],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07143357,0.009343989,0.03765997,0.03321852,0.00304617,0.01361994,0.03108338,0.003158148,0.7974363],"genre_scores_gemma":[0.258573,0.02324977,0.1393487,0.006628931,0.001113888,0.008600563,0.04228785,0.0007060374,0.5194913],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04532333,"threshold_uncertainty_score":0.1516217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03893794309743594,"score_gpt":0.2918744051887681,"score_spread":0.2529364620913321,"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."}}