{"id":"W2782189542","doi":"","title":"Prediction of Gypsy moth (Lymantria dispar) outbreaks under climate change","year":2016,"lang":"en","type":"article","venue":"SCIndeks","topic":"Entomological Studies and Ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lymantria dispar; Gypsy moth; Outbreak; Geography; Population; PEST analysis; Quarter (Canadian coin); Deciduous; Logistic regression; Forestry; Ecology; Demography; Statistics; Lepidoptera genitalia; Mathematics; Biology; Archaeology","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":[0.0008030583,0.0004426691,0.0002351755,0.0004979451,0.000198246,0.0006871242,0.0002444148,0.0003207753,0.0006093058],"category_scores_gemma":[0.001600678,0.00018227,0.0005441025,0.0002102292,0.0001341124,0.0003234978,0.000213241,0.0004090865,0.0001615923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005285383,"about_ca_system_score_gemma":0.0004964331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02460505,"about_ca_topic_score_gemma":0.02399369,"domain_scores_codex":[0.9998748,0.00004787583,0.000007866461,0.00002861612,0.00001028917,0.00003048573],"domain_scores_gemma":[0.9992579,0.0004369163,0.0001538404,0.00002377532,0.0000661764,0.0000613996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001998163,0.0002138811,0.6586921,0.00003167006,0.0001251416,0.0002227229,0.00006214272,0.3265388,0.001278058,0.0002109105,0.0006479794,0.01177683],"study_design_scores_gemma":[0.00001459599,0.0001450029,0.1723175,0.00002257542,0.00003850606,0.00006420618,0.0001860179,0.8261986,0.0006022505,0.0001773197,0.0002212899,0.00001195097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977953,0.00005871046,0.001470208,0.00009022524,0.000008675955,0.0000067417,0.0002019584,0.00002948858,0.0003386505],"genre_scores_gemma":[0.9986909,0.00005798861,0.0007862337,0.000007346554,0.000003286704,0.000004841746,0.0002835378,0.000002467866,0.0001633922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02460505,"threshold_uncertainty_score":0.04892361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07431463183780257,"score_gpt":0.2306967243123722,"score_spread":0.1563820924745696,"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."}}