{"id":"W6983230345","doi":"","title":"Managing Turfgrass toReduce Wildlife Hazardsat Airports","year":2013,"lang":"en","type":"article","venue":"Lincoln (University of Nebraska)","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wildlife; Vegetation (pathology); Vegetation cover; Wildlife conservation; Perennial plant; Land use; Wildlife management","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001032076,0.0001180024,0.0001481303,0.0000728319,0.0001747839,0.00002366793,0.0003350351,0.0000527586,0.006392349],"category_scores_gemma":[0.000007504708,0.0001401007,0.00008775992,0.0002528735,0.000166822,0.0005031528,0.0003438376,0.00008289325,0.001306097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001165003,"about_ca_system_score_gemma":0.0000110028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003630669,"about_ca_topic_score_gemma":0.0005973383,"domain_scores_codex":[0.999001,0.00003118578,0.0001102034,0.0002991365,0.0003327491,0.000225777],"domain_scores_gemma":[0.9994209,0.000020095,0.0001251214,0.0002691901,0.00001567141,0.0001490663],"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":[0.0000483232,0.0004667467,0.08012722,0.00007427314,0.0001347412,0.0001345834,0.003780468,0.009207901,0.006352076,0.004255458,0.6007195,0.2946987],"study_design_scores_gemma":[0.0006607604,0.0000691016,0.7044637,0.00001990326,0.00003939123,0.000004099828,0.004731398,0.006527056,0.00009173786,0.002475478,0.2805879,0.000329485],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8544923,0.00002959782,0.00915409,0.01427909,0.0003426108,0.0006886285,0.000007090659,0.0001657781,0.1208408],"genre_scores_gemma":[0.9750561,0.00003824599,0.006643719,0.000759896,0.00002349163,0.000001137965,0.00001036228,0.00001029544,0.01745675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6243365,"threshold_uncertainty_score":0.9994715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005840500898101964,"score_gpt":0.1651697806330441,"score_spread":0.1593292797349421,"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."}}