{"id":"W3197777097","doi":"10.1007/s10530-021-02620-6","title":"Optimizing the location of watercraft inspection stations to slow the spread of aquatic invasive species","year":2021,"lang":"en","type":"article","venue":"Biological Invasions","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Forest Service","funders":"U.S. Forest Service; Legislative-Citizen Commission on Minnesota Resources; Northern Research Station; Minnesota Environment and Natural Resources Trust Fund; U.S. Department of Agriculture","keywords":"Watercraft; Recreation; Fishery; Invasive species; Infestation; Ecology; Environmental resource management; Biology; Environmental science; Engineering; Marine engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000257125,0.00007990546,0.0001274885,0.00001600705,0.0002796988,0.000008204339,0.0002096269,0.0000744174,0.001900531],"category_scores_gemma":[0.0008535871,0.00003743033,0.00004835342,0.0004732895,0.0005060884,0.00005714532,0.000197765,0.0001065934,0.0003321537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004834893,"about_ca_system_score_gemma":0.00004075073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001533623,"about_ca_topic_score_gemma":0.001149397,"domain_scores_codex":[0.9991042,0.0002135795,0.0002585849,0.0001668436,0.0001223256,0.00013445],"domain_scores_gemma":[0.9990245,0.0005644059,0.00009150949,0.0002429017,0.00004109629,0.00003557929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002742882,0.0006449699,0.1359456,0.00001360094,0.0000402004,0.000007113074,0.005754764,0.007446524,0.8343599,0.005326659,0.008633801,0.00179936],"study_design_scores_gemma":[0.0001854627,0.0003214,0.7182457,0.00004510543,0.00006668592,0.00001072621,0.006618903,0.0008837777,0.2700128,0.002631488,0.0008250511,0.0001528615],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904695,0.00002710643,0.004526595,0.003316454,0.000116439,0.0002899441,0.000007856262,0.00001645067,0.001229648],"genre_scores_gemma":[0.9969349,0.00004583305,0.001917894,0.0005385591,0.00001723746,0.00004377887,0.00001631264,0.0000030306,0.0004824754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5823001,"threshold_uncertainty_score":0.9990119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1301888057445207,"score_gpt":0.26184870375245,"score_spread":0.1316598980079292,"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."}}