{"id":"W3023728647","doi":"10.1111/1365-2664.13652","title":"Climate change and vessel traffic create networks of invasion in marine protected areas","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Ecology","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Smithsonian Environmental Research Center","keywords":"Marine protected area; Biodiversity; Context (archaeology); Marine reserve; Climate change; Marine spatial planning; Protected area; Marine ecosystem; Ecosystem; Ecology; Environmental science; Environmental resource management; Habitat; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002813113,0.00009929971,0.0003277014,0.00005627011,0.00003964064,0.000004588957,0.0001414787,0.0001255937,0.001645628],"category_scores_gemma":[0.00004920028,0.0000845855,0.00003222829,0.0001824129,0.0001794514,0.00009170981,0.0002704135,0.0002871032,0.00001392801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004173268,"about_ca_system_score_gemma":0.000008190394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000794015,"about_ca_topic_score_gemma":0.000173701,"domain_scores_codex":[0.9991328,0.00004179447,0.0003894487,0.0001430306,0.00007953729,0.000213376],"domain_scores_gemma":[0.9994215,0.00008105114,0.0003346947,0.00006088423,0.00001061339,0.0000912271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00192636,0.0003715466,0.9266623,0.00009666829,0.00004765792,0.0001607606,0.001600052,0.01219032,0.01447716,0.0007937198,0.001446048,0.04022742],"study_design_scores_gemma":[0.00103115,0.0006128254,0.9949351,0.000008345562,0.00001709625,0.00003658777,0.0001209838,0.001360011,0.0007242597,0.0003229127,0.0007458651,0.00008485219],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936447,0.00001370877,0.00000678495,0.001003156,0.00006238919,0.0002679617,7.708171e-7,0.000005409458,0.004995096],"genre_scores_gemma":[0.9983532,0.0003865396,0.000490968,0.0006525718,0.00008559507,0.00001547198,0.000001540507,0.000007244318,0.000006876728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06827282,"threshold_uncertainty_score":0.999267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.017951188753772,"score_gpt":0.200005805717855,"score_spread":0.182054616964083,"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."}}