{"id":"W2076945043","doi":"10.1007/s10530-012-0204-2","title":"Relative roles of natural and anthropogenic drivers of watershed invasibility in riverine ecosystems","year":2012,"lang":"en","type":"article","venue":"Biological Invasions","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"U.S. Geological Survey; U.S. Fish and Wildlife Service","keywords":"Ecology; Ecosystem; Habitat; Species richness; Biology; River ecosystem; Generalist and specialist species; Watershed; Biodiversity; Invasive species; Lake ecosystem; Freshwater ecosystem; Introduced species","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002700291,0.00007302668,0.000187333,0.00002483105,0.00005564253,7.834981e-7,0.00008401011,0.00006914241,0.0003957309],"category_scores_gemma":[0.0001546187,0.00004684793,0.00003261747,0.0001059788,0.0007148654,0.0001227989,0.0004025923,0.00007437403,0.00001641901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003301308,"about_ca_system_score_gemma":0.000001440006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001254969,"about_ca_topic_score_gemma":0.002113588,"domain_scores_codex":[0.9993426,0.000106266,0.0001885893,0.0001469449,0.00005201846,0.0001635358],"domain_scores_gemma":[0.9996523,0.0001453495,0.00007246141,0.00009138782,0.000004199636,0.00003425747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000017051,0.0001203368,0.9911166,0.000007362252,0.00001589445,7.274254e-7,0.000443465,0.000005498191,0.007298838,0.0006686306,0.0002108628,0.00009473855],"study_design_scores_gemma":[0.0002014619,0.00009665105,0.9964632,0.000007257937,0.000007773119,7.046791e-7,0.0005554068,0.00002516697,0.001789346,0.0005135465,0.0002825623,0.00005692428],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982629,0.000101062,0.000009019321,0.0001652074,0.00006006031,0.0001775896,0.000006973293,0.000008123889,0.001209075],"genre_scores_gemma":[0.9994175,0.0002358427,0.0002572872,0.00003860845,0.000004779709,0.000007341799,0.000005159518,0.000001416774,0.00003206105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005509492,"threshold_uncertainty_score":0.4332976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0757722502580436,"score_gpt":0.2493303574010727,"score_spread":0.1735581071430291,"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."}}