{"id":"W2149633366","doi":"10.1890/1051-0761(2002)012[0749:lpoaai]2.0.co;2","title":"LANDSCAPE PATTERNS OF AN AQUATIC INVADER: ASSESSING DISPERSAL EXTENT FROM SPATIAL DISTRIBUTIONS","year":2002,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Connecticut Sea Grant, University of Connecticut; Wisconsin Sea Grant Institute, University of Wisconsin; National Oceanic and Atmospheric Administration","keywords":"Zebra mussel; Dreissena; Biological dispersal; Ecology; Spatial ecology; Spatial distribution; Geography; Invasive species; Mussel; Biology; Mollusca; Bivalvia; Population; Remote sensing","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":[0.0003773186,0.0001148419,0.0001734465,0.001525106,0.0002198573,0.0003950316,0.0001334256,0.0001549476,0.0007037538],"category_scores_gemma":[0.001517629,0.0001220021,0.0001713938,0.0006240996,0.0003019914,0.0004945747,0.000497672,0.0001459946,0.00007569796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003095058,"about_ca_system_score_gemma":0.00009266681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006559392,"about_ca_topic_score_gemma":0.01851428,"domain_scores_codex":[0.9998171,0.0000572385,0.00001828371,0.00005240447,0.00003057545,0.00002447163],"domain_scores_gemma":[0.9991562,0.000228485,0.0003612194,0.00006656373,0.0001023754,0.000085076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000617806,0.0000188582,0.9884271,0.00002155947,0.00006261206,0.00006793262,0.0003458529,0.0008630517,0.004381181,0.000108969,0.00004516802,0.005596014],"study_design_scores_gemma":[0.000001242841,0.00002825698,0.998515,0.000002118635,0.000009705271,0.000094345,0.0001510183,0.0009580646,0.000121458,0.00004742901,0.00006907966,0.000002383715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992605,0.00005480489,0.0003291396,0.000006261586,2.258079e-7,0.000002258589,0.00006130824,0.000005134711,0.0002802409],"genre_scores_gemma":[0.9994687,0.00002708932,0.0003215364,0.000002115217,5.183181e-7,0.000002643225,0.0001213294,0.000001211266,0.00005493249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006559392,"threshold_uncertainty_score":0.01304245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02251725912557362,"score_gpt":0.2482531404706997,"score_spread":0.2257358813451261,"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."}}