{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001914851,0.0002402,0.00026297,0.00005765541,0.0001228069,0.000008800935,0.0003965263,0.0002276055,0.014289],"category_scores_gemma":[0.000008965562,0.0002425192,0.0001151001,0.00006865084,0.0003909381,0.0001575996,0.0004485111,0.0001631062,0.007252313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003152213,"about_ca_system_score_gemma":0.000006622137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004844604,"about_ca_topic_score_gemma":0.0001079739,"domain_scores_codex":[0.9982463,0.00005738379,0.0002568864,0.000638071,0.0001594798,0.0006419406],"domain_scores_gemma":[0.9992962,0.00004629815,0.0001012539,0.0004447474,8.133251e-7,0.0001107051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001722564,0.003921179,0.568536,0.0001143296,0.0005763918,0.00014847,0.00743482,0.1522272,0.1346484,0.0422541,0.0412884,0.04712812],"study_design_scores_gemma":[0.009213461,0.003166782,0.4509686,0.00001264443,0.0002214416,0.0003332155,0.001101814,0.352267,0.004030081,0.07400341,0.1025638,0.002117656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9581226,0.00003354803,0.007829932,0.0005856315,0.0005122458,0.001072848,0.00002890486,0.00007038833,0.03174391],"genre_scores_gemma":[0.9680946,0.00002275763,0.00308019,0.001690896,0.00002864893,0.0002099453,0.00006527892,0.00003479372,0.02677285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2000398,"threshold_uncertainty_score":0.9935207,"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."}}