{"id":"W4308451201","doi":"10.1111/ddi.13649","title":"Tracking a killer shrimp: <i>Dikerogammarus villosus</i> invasion dynamics across Europe","year":2022,"lang":"en","type":"article","venue":"Diversity and Distributions","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Bundesministerium für Bildung und Forschung; Kuwait Foundation for the Advancement of Sciences; Leverhulme Trust","keywords":"Ecology; Species richness; Dominance (genetics); Species evenness; Population; Biology; Invasive species; Introduced species; Geography; Demography","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":[0.0007792328,0.0001766211,0.000171532,0.00109548,0.0001128225,0.0006580031,0.0001793017,0.0002129566,0.0006029503],"category_scores_gemma":[0.0009767574,0.00007849895,0.0002803392,0.0009956197,0.0001669594,0.0003938462,0.0005264269,0.0001686219,0.0001366588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002225371,"about_ca_system_score_gemma":0.0001413783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007083063,"about_ca_topic_score_gemma":0.007512739,"domain_scores_codex":[0.9996997,0.00005114601,0.00003270777,0.0001344195,0.00004723805,0.00003485933],"domain_scores_gemma":[0.9988205,0.0002415409,0.000562663,0.00009138406,0.0001923823,0.00009139007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006393177,0.00001582576,0.9855503,0.0000401476,0.00009894103,0.000119774,0.0001726589,0.0011041,0.002313863,0.0000870422,0.0002245853,0.01020875],"study_design_scores_gemma":[0.000002444677,0.00002905614,0.9971989,0.00001794385,0.00002178164,0.0001177013,0.0001999296,0.00110207,0.0003848788,0.00002647358,0.0008937711,0.00000497823],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998031,0.0002576304,0.0005045737,0.00001832103,0.00000288583,0.00000251318,0.0005927644,0.00001006324,0.0005804108],"genre_scores_gemma":[0.9983961,0.0001692592,0.0004589079,0.00001247887,0.000003320872,0.000003473264,0.0007373134,0.000003277841,0.000215829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007083063,"threshold_uncertainty_score":0.01408368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01967707281129952,"score_gpt":0.2262351283082072,"score_spread":0.2065580554969077,"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."}}