{"id":"W4388490188","doi":"10.3391/ai.2023.18.4.114182","title":"Horizon scanning for potentially invasive non-native marine species to inform trans-boundary conservation management – Example of the northern Gulf of Mexico","year":2023,"lang":"en","type":"article","venue":"Aquatic Invasions","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Centre for Environment, Fisheries and Aquaculture Science; U.S. Department of the Interior","keywords":"Biology; Fishery; Invasive species; Introduced species; Ecology; Indicator species; Mussel; Habitat","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":[0.0004318959,0.0001533348,0.0002410974,0.0001219833,0.0003809642,0.0000137412,0.000398902,0.00006019766,0.002037973],"category_scores_gemma":[0.0003689667,0.00012017,0.0001342666,0.0008911942,0.0003864522,0.0001701892,0.0005715165,0.00008721277,0.000148885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001036958,"about_ca_system_score_gemma":0.00006409605,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00163257,"about_ca_topic_score_gemma":0.01894001,"domain_scores_codex":[0.9986235,0.00004494224,0.0004544879,0.0002434506,0.0003593788,0.0002742342],"domain_scores_gemma":[0.9988307,0.0004710802,0.000223922,0.0003641469,0.00005320742,0.00005691523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003656775,0.0005476103,0.7678534,0.0005828824,0.0006938208,0.00001525695,0.01959749,0.0119234,0.06037137,0.03901026,0.06063937,0.03839944],"study_design_scores_gemma":[0.0008259022,0.0005565387,0.9317647,0.0001096847,0.0001105718,0.000001839769,0.002442743,0.0006539837,0.02390015,0.01331221,0.02607222,0.0002494158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8922204,0.000001855121,0.004486963,0.00276366,0.0002527575,0.001660885,0.00004295207,0.00002772647,0.09854276],"genre_scores_gemma":[0.979749,0.00002960522,0.004006521,0.0004803088,0.00002855044,0.0002116247,0.00008085776,0.0000207189,0.01539283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1639113,"threshold_uncertainty_score":0.9989617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03381243516586967,"score_gpt":0.2390705587482327,"score_spread":0.205258123582363,"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."}}