{"id":"W325331066","doi":"","title":"Wildlife in Airport Environments: Chapter 10 Managing Turfgrass to Reduce Wildlife Hazards at Airports","year":2013,"lang":"en","type":"article","venue":"Lincoln (University of Nebraska)","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wildlife; Wildlife conservation; Business; Environmental resource management; Environmental planning; Wildlife management; Environmental science; Geography; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002025843,0.0002080312,0.000253364,0.0001912946,0.000180039,0.00001952595,0.0004456511,0.00008574069,0.01287464],"category_scores_gemma":[0.00001181688,0.0002568005,0.0001004437,0.0003012224,0.000183124,0.0005452644,0.0008377535,0.0001138324,0.003516477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004225979,"about_ca_system_score_gemma":0.0000105294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002701259,"about_ca_topic_score_gemma":0.001725923,"domain_scores_codex":[0.9982484,0.00003814519,0.0002324706,0.0005632927,0.0005443012,0.0003733844],"domain_scores_gemma":[0.999073,0.00001998787,0.0001777176,0.0004362956,0.000008421064,0.0002845937],"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":[0.0003752039,0.001217829,0.3121566,0.00009082141,0.0001968888,0.0005771392,0.007877878,0.04102586,0.01598585,0.002526983,0.4350144,0.1829546],"study_design_scores_gemma":[0.0006544082,0.00007772135,0.621091,0.00002496244,0.00001815886,0.000003218916,0.001288265,0.001407583,0.00006710638,0.0002468725,0.3748249,0.0002957882],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9371551,0.00001411667,0.001852199,0.0127692,0.0001584306,0.0009428672,0.000009129682,0.00006215744,0.04703685],"genre_scores_gemma":[0.9420874,0.00004712514,0.004113749,0.002322739,0.00002064877,0.000005361065,0.00001887928,0.00002045283,0.05136366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3089345,"threshold_uncertainty_score":0.9999884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00852801837287746,"score_gpt":0.1870429450091638,"score_spread":0.1785149266362863,"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."}}