{"id":"W1986851856","doi":"10.1577/1548-8446(2005)30[21:iasio]2.0.co;2","title":"Invasive Aquatic Species in Ontario","year":2005,"lang":"en","type":"article","venue":"Fisheries","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Natural Resources","keywords":"Legislation; Aquaculture; Fishery; Invasive species; Business; Recreation; Stocking; Ornamental plant; Fish <Actinopterygii>; Aquatic environment; Aquatic animal; Aquatic ecosystem; Aquatic plant; Environmental planning; Environmental protection; Ecology; Biology; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007994348,0.00009579881,0.0001220896,0.00002428745,0.00007073207,0.0000226878,0.0001583817,0.00005103532,0.1068894],"category_scores_gemma":[0.0001025905,0.0000890434,0.00002855854,0.00009288481,0.0002722036,0.0003717878,0.0001583352,0.0001505653,0.002048373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003444761,"about_ca_system_score_gemma":0.00002870614,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02729447,"about_ca_topic_score_gemma":0.9668413,"domain_scores_codex":[0.9993257,0.00002439415,0.0001560759,0.0001756104,0.0001066405,0.0002115731],"domain_scores_gemma":[0.999714,0.00006769592,0.00003556793,0.0001452067,0.000002018282,0.00003553817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007922223,0.00003531525,0.9637495,0.000001319481,0.000002777816,0.000007986881,0.001809317,0.00003982396,0.0001969127,0.0002748839,0.03295363,0.0009206152],"study_design_scores_gemma":[0.0001007371,0.00002901724,0.6759868,0.000002487339,0.000001493572,0.000002481081,0.0001431182,0.000005637032,0.0006961384,0.0006704936,0.3222849,0.00007669345],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6169957,0.000004614155,0.000002834756,0.001297507,0.00006935883,0.00006136014,4.040928e-7,0.00001379665,0.3815545],"genre_scores_gemma":[0.8868033,0.00001037203,0.0007594773,0.0008163605,0.00004374127,0.00001876296,0.000004840579,0.000005414132,0.1115377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9395469,"threshold_uncertainty_score":0.9987286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01668104387233516,"score_gpt":0.1824854199265125,"score_spread":0.1658043760541773,"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."}}