{"id":"W4401377035","doi":"10.1002/ecs2.4967","title":"Landscape, demographic, and dispersal parameters influence the spread and establishment of an aquatic biological invasion","year":2024,"lang":"en","type":"article","venue":"Ecosphere","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland; Fisheries and Oceans Canada; Canada Foundation for Innovation","keywords":"Biological dispersal; Brown trout; Ecology; Salmo; Abiotic component; Metapopulation; Occupancy; Biotic component; Population; Range (aeronautics); Biology; Fishery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007940756,0.0001735872,0.0001456981,0.000464594,0.0002509099,0.0008375651,0.000235069,0.0002129517,0.001790136],"category_scores_gemma":[0.002591857,0.0001443927,0.0003432038,0.000252338,0.0004345415,0.0003203423,0.0002965647,0.0003309011,0.0001156943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000705581,"about_ca_system_score_gemma":0.0004109102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05685177,"about_ca_topic_score_gemma":0.09294432,"domain_scores_codex":[0.9998062,0.00007093704,0.00001402069,0.00004914424,0.00002153281,0.0000381309],"domain_scores_gemma":[0.9974075,0.001454497,0.000580546,0.0001194084,0.0001908276,0.0002472115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006523613,0.00004443065,0.9880563,0.000008274841,0.0001523967,0.00004903254,0.0000382465,0.006951565,0.002319664,0.00009539396,0.0001117097,0.002107655],"study_design_scores_gemma":[0.000004055943,0.00005562355,0.9708371,0.000004326836,0.00006412043,0.0000501888,0.0001337792,0.02840291,0.0002486331,0.00008074452,0.0001124975,0.000006145546],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994779,0.00002120184,0.0002013217,0.00001364077,6.714009e-7,0.000001463108,0.00004105762,0.000005130571,0.0002376087],"genre_scores_gemma":[0.9997508,0.00001049966,0.00008744655,0.00000367831,6.616448e-7,8.456684e-7,0.00003683823,0.000001531001,0.0001076027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05685177,"threshold_uncertainty_score":0.1130417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009042414286153148,"score_gpt":0.2112875370862986,"score_spread":0.2022451228001454,"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."}}