{"id":"W4212872165","doi":"10.32920/19189244.v1","title":"Invasive Aquatic Plants in the Aquarium and Ornamental Pond Industries","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Biological Control of Invasive Species","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ornamental plant; Invasive species; Aquatic plant; Geography; Weed; Fishery; Library science; Engineering; Ecology; Biology; Computer science","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":[0.0003098903,0.0001610073,0.0002073753,0.0006011325,0.0007769042,0.001020148,0.0001853581,0.0003224356,0.009902523],"category_scores_gemma":[0.000639803,0.0001164123,0.0001351406,0.001029392,0.0005121923,0.0005027872,0.0007207628,0.0003189858,0.0007592266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001831318,"about_ca_system_score_gemma":0.001265825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1627547,"about_ca_topic_score_gemma":0.3829486,"domain_scores_codex":[0.9997641,0.00002681987,0.000006355889,0.00004292892,0.00008778219,0.00007201276],"domain_scores_gemma":[0.9995866,0.00007066302,0.0001217496,0.00001896895,0.00008049201,0.0001215582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006478351,0.0002877699,0.7134569,0.0005360753,0.0001243631,0.002034958,0.00962416,0.002704054,0.02360006,0.02517784,0.04274646,0.1790596],"study_design_scores_gemma":[0.00001514611,0.0000602768,0.959525,0.00008617366,0.00002468349,0.0003129099,0.006176805,0.001480473,0.001174767,0.003553789,0.02757023,0.00001972866],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.910917,0.003237355,0.0008889147,0.002000853,0.00007146657,0.00002300671,0.0009933318,0.00003224899,0.08183582],"genre_scores_gemma":[0.9801349,0.001505516,0.0003019638,0.00007596014,0.00002250145,0.000005118391,0.0007191004,0.000007958182,0.01722694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1627547,"threshold_uncertainty_score":0.3236148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04865889230382567,"score_gpt":0.231951834080853,"score_spread":0.1832929417770273,"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."}}