{"id":"W7114816169","doi":"10.15468/un9xr2","title":"DFO Gulf Region Aquatic Invasive Species Data","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Invasive species; Abundance (ecology); Aquatic ecosystem; Aquatic animal; Distribution (mathematics); Aquatic environment","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001054106,0.001561355,0.0009247014,0.004432641,0.0009248824,0.001670459,0.001994242,0.001337667,0.06173602],"category_scores_gemma":[0.005108666,0.0007046128,0.0007584225,0.01041519,0.000331692,0.001254758,0.001750137,0.001482727,0.04540053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002018426,"about_ca_system_score_gemma":0.003394737,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1185188,"about_ca_topic_score_gemma":0.125988,"domain_scores_codex":[0.9990734,0.0001064375,0.0001217083,0.0002000401,0.0003182572,0.0001802071],"domain_scores_gemma":[0.997708,0.0004296729,0.00034878,0.0003066987,0.0009654436,0.0002414666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002950971,0.000009577604,0.0009733803,0.0003447994,0.0000140052,0.00001709243,0.00002338091,0.0001688237,0.00006886471,0.0005312407,0.9961476,0.001671762],"study_design_scores_gemma":[0.000114798,0.000007666646,0.008745225,0.0003300847,0.00001768306,0.00003128172,0.0001050694,0.0002340412,0.0002105754,0.0006968156,0.9894851,0.00002164461],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007361185,0.0000155272,0.00001827086,0.00003331406,0.000007249393,0.000004393835,0.9993061,0.00003320174,0.0005083712],"genre_scores_gemma":[0.0002661278,0.00003557176,0.0001436568,0.00002566087,0.000002739325,0.00005817477,0.9987679,0.00002554623,0.0006746374],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8814812,"threshold_uncertainty_score":0.2356579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06089910033182149,"score_gpt":0.2417918773016902,"score_spread":0.1808927769698687,"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."}}