{"id":"W3010236929","doi":"10.1093/aesa/saz072","title":"An Applied Empirical Framework for Invasion Science: Confronting Biological Invasion Through Collaborative Research Aimed at Tool Production","year":2020,"lang":"en","type":"article","venue":"Annals of the Entomological Society of America","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Canada; University of British Columbia; Canadian Food Inspection Agency; Natural Resources Canada; Université Laval; Canadian Sport Centre Pacific","funders":"FPInnovations; Genome British Columbia; Canadian Forest Service; Canadian Food Inspection Agency; Genome Canada","keywords":"Biology; Threatened species; Invasive species; Environmental resource management; Ecology; Environmental planning; Habitat; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.1556732,0.001878995,0.001647596,0.01101577,0.005796758,0.01306288,0.005604958,0.007419778,0.006755137],"category_scores_gemma":[0.1471653,0.0007826553,0.001645395,0.007332442,0.06214445,0.01738436,0.01082207,0.005853162,0.0006012139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01083922,"about_ca_system_score_gemma":0.01311829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003867963,"about_ca_topic_score_gemma":0.002389401,"domain_scores_codex":[0.7538269,0.2222683,0.005452878,0.007886769,0.008294016,0.002271199],"domain_scores_gemma":[0.6470956,0.3084947,0.0159778,0.01413629,0.01126062,0.00303491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001682494,0.00008802699,0.002106071,0.000401467,0.0000451253,0.0001598414,0.002922295,0.00122728,0.00008891696,0.9844259,0.0006594685,0.007858896],"study_design_scores_gemma":[0.00007658224,0.0001084474,0.001313833,0.0009924539,0.00004959265,0.0001342909,0.005167762,0.01116779,0.0001904583,0.9628111,0.01795043,0.00003728976],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02941622,0.006890496,0.7764657,0.08416796,0.0007203991,0.002598605,0.0003816649,0.0001551944,0.09920372],"genre_scores_gemma":[0.6223488,0.00328293,0.3583287,0.005712635,0.000535133,0.007415534,0.0002216215,0.00005360792,0.002101059],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1556732,"threshold_uncertainty_score":0.8232883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1995521797043765,"score_gpt":0.4085453140024098,"score_spread":0.2089931342980333,"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."}}