{"id":"W4414376188","doi":"10.3391/mbi.2025.16.3.07","title":"A Horizon Scan watchlist of freshwater non-indigenous species in the maritime provinces of Canada","year":2025,"lang":"en","type":"article","venue":"Management of Biological Invasions","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Horizon; Deepwater horizon; Aquatic animal","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004801139,0.0003338467,0.0002251996,0.005635206,0.002491759,0.0008392579,0.000906996,0.0002409085,0.003654738],"category_scores_gemma":[0.001564602,0.0002053272,0.0002803783,0.005278822,0.000475823,0.0004090788,0.0008965886,0.0002808542,0.000671006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009103979,"about_ca_system_score_gemma":0.01900001,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.977578,"about_ca_topic_score_gemma":0.9937776,"domain_scores_codex":[0.999606,0.00001685272,0.00002623146,0.0000652602,0.000178535,0.0001072597],"domain_scores_gemma":[0.9972081,0.0001812822,0.0003009725,0.000101873,0.001795268,0.0004124794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00033782,0.0000554317,0.7330334,0.0008542895,0.00008264839,0.001215872,0.01154813,0.0019986,0.008645113,0.001535833,0.08176518,0.1589277],"study_design_scores_gemma":[0.00001131556,0.00005112205,0.8799149,0.0002584002,0.00004979609,0.0002836864,0.008803966,0.002283237,0.001575985,0.0002074228,0.1064902,0.00006996597],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8014084,0.002206931,0.004085393,0.0009062617,0.0001159818,0.0007675557,0.1535439,0.0006704333,0.03629514],"genre_scores_gemma":[0.8419334,0.002210958,0.02204366,0.0005256942,0.00003254332,0.0004362397,0.1051728,0.0001604158,0.02748438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02242196,"threshold_uncertainty_score":0.06605434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02369678228781007,"score_gpt":0.2088939260979565,"score_spread":0.1851971438101464,"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."}}