{"id":"W7098490661","doi":"","title":"SLAM: A Multi-Agency Pilot Project to SL.ow A.sh M.ortality Caused by Emerald Ash Borer in","year":2016,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emerald ash borer; Agrilus; Quarantine; Fraxinus; Population; Biological dispersal","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":[0.005820762,0.0006027443,0.0003371435,0.0009438337,0.002187679,0.001034446,0.001169656,0.0009599348,0.008971868],"category_scores_gemma":[0.002999368,0.0003968467,0.0004553819,0.0004181267,0.000786729,0.0006310943,0.002465158,0.001045357,0.00221573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002673148,"about_ca_system_score_gemma":0.01990877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07288155,"about_ca_topic_score_gemma":0.1275312,"domain_scores_codex":[0.9980177,0.001032015,0.00003997131,0.0001561897,0.0002792229,0.0004748949],"domain_scores_gemma":[0.9957592,0.000336461,0.0002798418,0.0003783602,0.0007826874,0.002463429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02036053,0.07750791,0.203403,0.0008656912,0.0003652149,0.003252867,0.008085898,0.003851716,0.02334817,0.007051235,0.2114116,0.4404961],"study_design_scores_gemma":[0.01055437,0.07211155,0.6457315,0.000254716,0.0002498333,0.0008359377,0.01728471,0.01215047,0.006882591,0.00235112,0.2314738,0.000119318],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.878933,0.000345304,0.008117342,0.01046086,0.0004211724,0.03401363,0.02184941,0.001217175,0.04464197],"genre_scores_gemma":[0.8563694,0.0006152566,0.03601884,0.00488195,0.0001527147,0.02456827,0.01505757,0.0001833036,0.06215267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07288155,"threshold_uncertainty_score":0.1449147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1009872678722115,"score_gpt":0.2624217232017149,"score_spread":0.1614344553295034,"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."}}