{"id":"W6947794726","doi":"10.3897/bdj.13.e144840.figure5","title":"Figure 5 from: Kricsfalusy VV, Godfrey A, Chakma K, Stewart A, Danylyk IM (2025) Evaluating the diversity, distribution patterns and habitat preferences of Carex species (Cyperaceae) in western Canada using geospatial analysis. Biodiversity Data Journal 13: e144840. https://doi.org/10.3897/BDJ.13.e144840","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Habitat; Distribution (mathematics); Bar chart; Species distribution; Land cover; Geospatial analysis; Chart; Carex; Endangered species; Spatial distribution","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005121007,0.0009887245,0.0006459407,0.002221773,0.001303453,0.003383129,0.001186372,0.0008868762,0.8385377],"category_scores_gemma":[0.003452532,0.0003657103,0.0007714148,0.003658247,0.0006411875,0.001162726,0.001571625,0.001174016,0.5563471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001992139,"about_ca_system_score_gemma":0.004422848,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1706474,"about_ca_topic_score_gemma":0.4121614,"domain_scores_codex":[0.9995788,0.00001524425,0.00001436318,0.00005724817,0.0002714018,0.0000628597],"domain_scores_gemma":[0.9980168,0.0001308718,0.00006836294,0.000148477,0.001256994,0.0003784107],"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":[0.00001763109,0.000008305566,0.0003036435,0.0001033381,0.000003223209,0.00002836666,0.0000379699,0.00005645162,0.00007271115,0.0004209999,0.9811904,0.0177569],"study_design_scores_gemma":[0.00001416177,0.000004767309,0.002276149,0.0001039757,0.000005881218,0.00003325363,0.00005237276,0.00005988965,0.0001018342,0.0003380464,0.9970047,0.00000505592],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.0009935008,0.001039703,0.002681598,0.002597779,0.003424102,0.0002161812,0.2046297,0.006735348,0.777682],"genre_scores_gemma":[0.007183511,0.001117083,0.004918286,0.000596808,0.00048259,0.0001097659,0.1019981,0.002907329,0.8806863],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.8385377,"threshold_uncertainty_score":0.3393082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1026255893074515,"score_gpt":0.2798124340185453,"score_spread":0.1771868447110938,"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."}}