{"id":"W4241938603","doi":"10.1139/facets-2020-0048","title":"Correction: Tracking insect outbreaks: a case study of community-assisted moth monitoring using sex pheromone traps","year":2020,"lang":"en","type":"article","venue":"FACETS","topic":"Insect Pheromone Research and Control","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Forest Protection Limited (Canada); Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Outbreak; Sex pheromone; Insect; Pheromone; Tracking (education); Pheromone trap; Biology; Zoology; Ecology; Psychology; Virology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002926327,0.0001602723,0.0002993211,0.00001400813,0.0005579222,0.00007848535,0.0002420328,0.00007393966,0.00006890671],"category_scores_gemma":[0.00009317332,0.00007544157,0.00008915989,0.0004865675,0.0000362738,0.0001533805,0.00008797348,0.0004732115,0.000004751245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003769572,"about_ca_system_score_gemma":0.00001419384,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01370346,"about_ca_topic_score_gemma":0.001806983,"domain_scores_codex":[0.9983141,0.0006114196,0.0002845027,0.0001802109,0.0003047254,0.0003050457],"domain_scores_gemma":[0.9992831,0.0002414621,0.0001121174,0.00008652506,0.0001001389,0.0001766723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001021266,0.0008138087,0.01831097,0.00001529671,0.00007786137,0.0003124072,0.01127574,0.0000774596,0.8094925,2.486578e-7,0.00006430343,0.1594573],"study_design_scores_gemma":[0.004701023,0.01222214,0.2649429,0.0001715258,0.0001766058,0.001823903,0.4432894,0.009661273,0.2617351,0.00001988729,0.0001919067,0.001064341],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989305,0.00009448873,0.00001097859,0.0001172441,0.000162283,0.0003860669,0.00001433823,0.00008470137,0.000199447],"genre_scores_gemma":[0.9996204,0.000004625139,0.00001626496,0.00003995954,0.0002630834,0.00001447301,0.000004829215,0.000002384486,0.00003398405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5477574,"threshold_uncertainty_score":0.9928644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1762873267229995,"score_gpt":0.3117570712961978,"score_spread":0.1354697445731983,"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."}}