{"id":"W2947602890","doi":"10.1093/ee/nvz051","title":"A Phenology Model for Asian Gypsy Moth Egg Hatch","year":2019,"lang":"en","type":"article","venue":"Environmental Entomology","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Gypsy moth; Lymantria dispar; Phenology; Biology; PEST analysis; Subspecies; Lepidoptera genitalia; Range (aeronautics); Ecology; Population; Invasive species; Adaptation (eye); Zoology; Botany; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003572146,0.0005706177,0.0002839808,0.0003196604,0.0002323853,0.0003378238,0.0006101941,0.0004116941,0.003034781],"category_scores_gemma":[0.0008713686,0.0002214196,0.0008635375,0.0001980591,0.0002932839,0.0003805629,0.0003246336,0.0004895978,0.0004973974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000774423,"about_ca_system_score_gemma":0.0006581578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01983554,"about_ca_topic_score_gemma":0.0152589,"domain_scores_codex":[0.9998968,0.0000241205,0.000004353342,0.00003779496,0.00001267096,0.00002424335],"domain_scores_gemma":[0.999724,0.0001266716,0.00006914438,0.00001909925,0.00003048238,0.00003060043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000213218,0.00007548403,0.02025626,0.00006270665,0.00007242784,0.0001136015,0.0001188834,0.9478318,0.01784,0.004861198,0.0007169564,0.00783744],"study_design_scores_gemma":[0.00003285752,0.00005755608,0.009308875,0.000004262685,0.00002453376,0.00003714711,0.00002082683,0.988147,0.0006199102,0.001202173,0.0005349367,0.000009957548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8827267,0.0003412452,0.1087948,0.0003080968,0.00004165619,0.00007742809,0.001503678,0.0002919296,0.005914452],"genre_scores_gemma":[0.9862567,0.0001510799,0.006776577,0.00004173768,0.00001376529,0.0001396295,0.0005428192,0.00004558575,0.006032258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01983554,"threshold_uncertainty_score":0.03944016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007033983008909462,"score_gpt":0.2101490941786544,"score_spread":0.2031151111697449,"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."}}