{"id":"W2104109430","doi":"10.1111/ddi.12117","title":"Climate change, non‐indigenous species and shipping: assessing the risk of species introduction to a high‐<scp>A</scp>rctic archipelago","year":2013,"lang":"en","type":"article","venue":"Diversity and Distributions","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bioinformatics Solutions (Canada)","funders":"Framsenteret; Norsk Polarinstitutt","keywords":"Archipelago; Propagule pressure; Geography; Fishing; Climate change; Environmental science; Marine ecosystem; Global warming; Vulnerability (computing); Ecosystem; Indigenous; Oceanography; Environmental resource management; Environmental protection; Ecology; Biological dispersal; Biology; Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006966791,0.0003901488,0.0001402875,0.001648012,0.00033017,0.0008934737,0.0003830834,0.000488537,0.001262291],"category_scores_gemma":[0.001522896,0.0001575608,0.0006664561,0.001249581,0.0003578919,0.0003993608,0.0007901603,0.00031715,0.0001430537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001078379,"about_ca_system_score_gemma":0.0004868377,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07024578,"about_ca_topic_score_gemma":0.1062582,"domain_scores_codex":[0.9997677,0.0000826906,0.00001938304,0.00005092948,0.00004434669,0.00003493985],"domain_scores_gemma":[0.9988657,0.0002941498,0.0004818335,0.00007471389,0.0001367403,0.0001468743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003790177,0.00002005519,0.9913873,0.00001142533,0.00009545049,0.0000835896,0.00007103669,0.006595408,0.0002635897,0.00007286553,0.00006221029,0.001299148],"study_design_scores_gemma":[0.000002343894,0.00009510357,0.9763086,0.00001173184,0.00005348341,0.00007251808,0.0007337881,0.02211175,0.0002142127,0.0001352776,0.0002518695,0.000009289753],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988508,0.00003571436,0.0002652688,0.00002733827,0.000001492512,0.000006007942,0.0002980908,0.000004669949,0.0005106202],"genre_scores_gemma":[0.9992393,0.00003858285,0.0002383862,0.000005963278,0.000001631274,0.000005840364,0.0002868029,0.000001444311,0.0001819888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9297542,"threshold_uncertainty_score":0.1396738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01758715223514551,"score_gpt":0.2072753603274717,"score_spread":0.1896882080923262,"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."}}