{"id":"W4409234264","doi":"10.36967/2309926","title":"Invasive exotic plant monitoring at Curecanti National Recreation Area: 2023 field season","year":2025,"lang":"en","type":"report","venue":"National Park Service","topic":"Biological Control of Invasive Species","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recreation; Invasive species; Environmental science; Geography; Field (mathematics); Forestry; Hydrology (agriculture); Ecology; Biology; Geology; Mathematics","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":[0.0005904681,0.0002924917,0.0002260379,0.0008095395,0.001252167,0.0005719283,0.0006998039,0.0003288629,0.005056569],"category_scores_gemma":[0.0005849483,0.000150425,0.0001581301,0.0006481857,0.000147977,0.0003020246,0.0007017346,0.0004660941,0.001337748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001572336,"about_ca_system_score_gemma":0.001638315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1047499,"about_ca_topic_score_gemma":0.4229452,"domain_scores_codex":[0.9997167,0.0000253675,0.000008969245,0.00005416167,0.0001087863,0.00008603493],"domain_scores_gemma":[0.999023,0.00005634013,0.000182669,0.00005057338,0.0004233866,0.0002640575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004672914,0.0009257568,0.8578231,0.0002049227,0.00005063304,0.0005987476,0.001883573,0.0009180827,0.01727678,0.0001272057,0.04437638,0.07534758],"study_design_scores_gemma":[0.00001212676,0.0001530912,0.9846812,0.0000281084,0.000007449378,0.0000869084,0.0008000787,0.0009616783,0.001025562,0.00002385937,0.012208,0.00001189232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.943626,0.0001982091,0.001610024,0.0003594595,0.00007572578,0.001291148,0.02646388,0.0004683266,0.02590723],"genre_scores_gemma":[0.9280751,0.0003013307,0.008276138,0.0006439736,0.00005854551,0.001979985,0.04470813,0.00007564439,0.01588111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1047499,"threshold_uncertainty_score":0.2082804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1346254670146025,"score_gpt":0.2917411508085856,"score_spread":0.1571156837939831,"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."}}