{"id":"W7133273639","doi":"","title":"National screening-level risk assessment (SLRA) of Goldfish, Prussian Carp, Chain Pickerel, and Black Crappie in Canada","year":2025,"lang":"en","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Risk assessment; Ecoregion; Biological dispersal; Invasive species; Range (aeronautics); Population; Introduced species","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":[0.001187244,0.0005055011,0.0001923232,0.00234057,0.001072564,0.0007429871,0.0007798497,0.0003127637,0.0005251412],"category_scores_gemma":[0.002573328,0.000180813,0.0004768342,0.001261646,0.0005368226,0.0002826322,0.000807402,0.000324412,0.00006927129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01561519,"about_ca_system_score_gemma":0.02434373,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9663686,"about_ca_topic_score_gemma":0.9868124,"domain_scores_codex":[0.9989777,0.00007681533,0.00005633075,0.00009751598,0.000616337,0.0001753646],"domain_scores_gemma":[0.9976283,0.0002105005,0.0004464403,0.0000369653,0.001389495,0.0002883546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002230752,0.00006991528,0.9418355,0.0001369682,0.0001488154,0.0004413346,0.001084293,0.01909506,0.002067595,0.0004828396,0.002061094,0.03235352],"study_design_scores_gemma":[0.0000115466,0.0001757664,0.9761294,0.0001092155,0.00009227926,0.0001685299,0.002252941,0.016843,0.0009923964,0.0002656372,0.00291556,0.00004366927],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879621,0.0005027165,0.002002822,0.0003236358,0.000007523615,0.0002104858,0.001975323,0.000073052,0.006942343],"genre_scores_gemma":[0.9945396,0.0003498913,0.002727888,0.00004936124,8.87481e-7,0.0000379612,0.0009282326,0.000005540217,0.00136087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03363138,"threshold_uncertainty_score":0.1132967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01185097833837487,"score_gpt":0.2496261171920618,"score_spread":0.237775138853687,"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."}}