{"id":"W2154076305","doi":"10.1111/j.1600-0587.2013.00296.x","title":"Historical data reveal power‐law dispersal patterns of invasive aquatic species","year":2014,"lang":"en","type":"article","venue":"Ecography","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Development and Reform Commission; Queen's University; Botanical Society of Britain and Ireland; Natural Hazards Research Platform; Queen's University Belfast; Natural Environment Research Council; Northern Ireland Environment Agency","keywords":"Biological dispersal; Elodea canadensis; Biology; Ecology; Context (archaeology); Invasive species; Introduced species; Habitat; Aquatic plant; Population; Macrophyte","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004095969,0.0001315767,0.0001238457,0.0004905922,0.0001357819,0.0002610078,0.0002770326,0.0002727102,0.000735239],"category_scores_gemma":[0.002278388,0.0001375992,0.0002586377,0.0003483875,0.0002637445,0.000578937,0.0001659585,0.0002171258,0.0001390753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003470694,"about_ca_system_score_gemma":0.00009882575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004948127,"about_ca_topic_score_gemma":0.005249043,"domain_scores_codex":[0.9999268,0.00001951988,0.000006324958,0.00002710297,0.00001140526,0.000008776956],"domain_scores_gemma":[0.9989218,0.000450356,0.0003130948,0.0001712715,0.0000944435,0.00004912072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001037909,0.00005953424,0.628933,0.00007412266,0.0001461345,0.0004047805,0.0004360832,0.3432615,0.004911922,0.002758715,0.0005459945,0.0183645],"study_design_scores_gemma":[0.0000119516,0.0001206811,0.414358,0.00001779896,0.00004589146,0.0003875123,0.0001521988,0.581291,0.0008059692,0.001914957,0.0008600214,0.00003402294],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964648,0.00006789352,0.002780372,0.00002782754,0.000001960925,0.000002494729,0.0001275358,0.00003150965,0.000495442],"genre_scores_gemma":[0.9992954,0.00003718652,0.0004212054,0.000002340535,0.000001041145,0.000001192445,0.0001501803,0.000002548076,0.00008884136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004948127,"threshold_uncertainty_score":0.0098387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190376928107338,"score_gpt":0.2213472050980373,"score_spread":0.2023095122873035,"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."}}