{"id":"W2116748235","doi":"10.1890/02-5377","title":"BACKCASTING AND FORECASTING BIOLOGICAL INVASIONS OF INLAND LAKES","year":2004,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Biological dispersal; Ecology; Invasive species; Introduced species; Propagule pressure; Propagule; Population; Geography; Freshwater ecosystem; Ecosystem; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000192729,0.00008022789,0.0001391102,0.0000144515,0.0002326912,0.000005874923,0.0001202077,0.0001184984,0.002186794],"category_scores_gemma":[0.0001291872,0.00005748473,0.00002874286,0.0001639568,0.0004517911,0.00005120275,0.0001831267,0.0001111884,0.0003856235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003461593,"about_ca_system_score_gemma":0.000008724085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000175312,"about_ca_topic_score_gemma":0.00007122973,"domain_scores_codex":[0.999284,0.00002860475,0.0002297562,0.0002242685,0.00006292915,0.0001704219],"domain_scores_gemma":[0.9995036,0.0002232982,0.00009190257,0.0001035752,0.000007637074,0.00007001969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007874469,0.0005953068,0.9443634,0.000006807556,0.000007561831,0.000005138669,0.0001253161,0.000499605,0.0285451,0.01345543,0.0001963366,0.01219219],"study_design_scores_gemma":[0.0003063432,0.0001540846,0.9762306,0.000003922087,0.00001155046,0.00002073579,0.00009119458,0.0001551527,0.000957511,0.02096507,0.0009886714,0.0001151176],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892483,0.000009651071,0.00352205,0.0003215514,0.00001360043,0.0003078539,0.000005649648,0.00002987587,0.006541486],"genre_scores_gemma":[0.9878494,0.000009026249,0.01170029,0.0001776564,0.00001671638,0.0001686127,0.000007512337,0.000003115001,0.00006769677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03186731,"threshold_uncertainty_score":0.9987254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08424454980821644,"score_gpt":0.2442781334606537,"score_spread":0.1600335836524373,"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."}}