{"id":"W4281553984","doi":"10.1016/j.cois.2022.100939","title":"The importance of eco-evolutionary dynamics for predicting and managing insect range shifts","year":2022,"lang":"en","type":"review","venue":"Current Opinion in Insect Science","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Concordia University","funders":"Agence Nationale de la Recherche; Natural Environment Research Council; Sight Research UK","keywords":"Scope (computer science); Biology; Range (aeronautics); Ecology; Biodiversity; Evolutionary dynamics; Environmental resource management; Ecosystem; Economics; Computer 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":[0.001139644,0.0001995977,0.0004487993,0.00005293054,0.001068089,0.00006119697,0.0006492268,0.00004497898,0.000009896922],"category_scores_gemma":[0.0002662434,0.000074091,0.0001359522,0.000975414,0.0003941146,0.000139719,0.0004543081,0.0002513004,4.746447e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001510975,"about_ca_system_score_gemma":0.0000671928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004014694,"about_ca_topic_score_gemma":0.00043527,"domain_scores_codex":[0.9983195,0.00007289578,0.000457336,0.0004561942,0.0003355722,0.0003585207],"domain_scores_gemma":[0.9983535,0.001144304,0.0003719844,0.00004642523,0.00003498884,0.00004876846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000902063,0.00002701583,0.01712412,0.001597737,0.000005926751,2.167488e-7,0.00004783454,4.015098e-7,0.000002814519,0.00131169,0.0001435966,0.9797297],"study_design_scores_gemma":[0.00007871075,0.0001575943,0.03709671,0.002912059,0.00001963944,0.00001244185,0.0001531254,0.0008001489,7.880791e-8,0.0006572262,0.9578502,0.0002620924],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005607621,0.9919311,0.000001547455,0.00006986864,0.00130675,0.0006261732,0.0003346782,0.00002010352,0.000102164],"genre_scores_gemma":[0.002661628,0.9968497,0.00001072332,0.000003120822,0.0002057758,0.0001867684,0.00007419712,0.000001330552,0.000006785817],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9794675,"threshold_uncertainty_score":0.8214988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1900189277859931,"score_gpt":0.3331282047222119,"score_spread":0.1431092769362188,"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."}}