{"id":"W2128399902","doi":"10.1111/j.1365-2486.2008.01620.x","title":"Will climate change be beneficial or detrimental to the invasive swede midge in North America? Contrasting predictions using climate projections from different general circulation models","year":2008,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Insect-Plant Interactions and Control","field":"Agricultural and Biological Sciences","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph","funders":"Ministry of Agriculture, Food and Rural Affairs; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"HadCM3; Climate change; Climate model; Environmental science; Population; Geography; Climatology; Ecology; Physical geography; General Circulation Model; GCM transcription factors; Geology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0007298267,0.0004561676,0.0002757341,0.0004881826,0.0005631005,0.001073746,0.0004590895,0.0007972035,0.001079162],"category_scores_gemma":[0.001563574,0.0002658883,0.0008724382,0.0005213544,0.0003622847,0.0007729844,0.0003605672,0.0005530479,0.0001091765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001859101,"about_ca_system_score_gemma":0.001085611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1988072,"about_ca_topic_score_gemma":0.1883409,"domain_scores_codex":[0.9998454,0.00005304965,0.000008222804,0.00003952547,0.00002069086,0.00003309583],"domain_scores_gemma":[0.9994712,0.000181285,0.00008533257,0.00002345529,0.0001448576,0.00009387639],"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":[0.0002793437,0.0001284516,0.3995287,0.0001171982,0.0003628138,0.0003607838,0.0004150155,0.5826741,0.003076142,0.0033206,0.00303614,0.006700739],"study_design_scores_gemma":[0.0001124426,0.0001189576,0.2988475,0.00004496896,0.0001775799,0.00006094201,0.0009283278,0.6939206,0.0005331273,0.003260598,0.001919175,0.00007577654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936,0.0001971967,0.0007906555,0.001030485,0.00003495642,0.00001193812,0.0007932293,0.00005155062,0.003490006],"genre_scores_gemma":[0.9985393,0.0002045008,0.0003813028,0.00008755508,0.00001617283,0.000009529449,0.0005169372,0.00001062138,0.0002340204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1988072,"threshold_uncertainty_score":0.3953001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1226062436709302,"score_gpt":0.281198107699581,"score_spread":0.1585918640286508,"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."}}