{"id":"W3168620725","doi":"10.1111/afe.12457","title":"Optimizing early detection strategies: defining the effective attraction radius of attractants for emerald ash borer <scp> <i>Agrilus planipennis</i> </scp> Fairmaire","year":2021,"lang":"en","type":"article","venue":"Agricultural and Forest Entomology","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Emerald ash borer; Agrilus; Attraction; Fraxinus; Biology; Range (aeronautics); Ecology; Trap (plumbing); Zoology; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001959004,0.00018908,0.0002221231,0.00002366745,0.0003673982,0.00004713954,0.0001347596,0.0001683156,0.00003799521],"category_scores_gemma":[0.00006989151,0.0001155077,0.0000952061,0.0002183246,0.0002168236,0.0003656547,0.0001393478,0.0001988508,0.00002647422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000670474,"about_ca_system_score_gemma":0.000008746982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007319388,"about_ca_topic_score_gemma":0.005968965,"domain_scores_codex":[0.9988094,0.0001057246,0.0002457614,0.0003467212,0.0001291989,0.0003631943],"domain_scores_gemma":[0.9991906,0.0004029184,0.0001863346,0.0001252194,0.00003374161,0.00006115447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006403988,0.001393814,0.3097883,0.0005205473,0.001626563,0.0003008325,0.02383457,0.05316857,0.4818997,0.05827955,0.02011447,0.04843267],"study_design_scores_gemma":[0.0005914179,0.0004936937,0.9852032,0.00001316422,0.00009251529,0.0002501895,0.001776238,0.000161068,0.007366482,0.001943667,0.002016973,0.00009140929],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955436,0.0001829938,0.0008655906,0.0001762795,0.0003674201,0.0005548517,0.00001251175,0.00003535955,0.002261388],"genre_scores_gemma":[0.9987337,0.00007582791,0.0002996695,0.0001883145,0.00005491765,0.0001569846,0.00005100319,0.000008460198,0.000431101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6754149,"threshold_uncertainty_score":0.4710268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005985895533546079,"score_gpt":0.2084091779109715,"score_spread":0.2024232823774255,"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."}}