{"id":"W6929102810","doi":"10.3897/bdj.13.e144840.figure2","title":"Figure 2 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":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Habitat; Biodiversity; Distribution (mathematics); Carex; Geospatial analysis; Endangered species; Flora (microbiology)","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":[0.0005814066,0.001410321,0.0009911361,0.00300353,0.001178848,0.003431068,0.001606223,0.0008249604,0.654445],"category_scores_gemma":[0.005316989,0.0007318028,0.0009001417,0.006002125,0.0005378213,0.001720462,0.002231629,0.001301159,0.4691357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00148541,"about_ca_system_score_gemma":0.004145976,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1407052,"about_ca_topic_score_gemma":0.3399793,"domain_scores_codex":[0.999606,0.00002068198,0.00002180455,0.0001023257,0.0001641079,0.00008512281],"domain_scores_gemma":[0.9982942,0.0002841635,0.00009512787,0.0002531253,0.0008089517,0.0002644849],"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":[0.00001807384,0.00000640977,0.0007672809,0.0002586464,0.000010425,0.00002214145,0.00004630871,0.0000683806,0.00006661075,0.0002975027,0.9943345,0.004103828],"study_design_scores_gemma":[0.00003884947,0.000003185959,0.004415459,0.0002234369,0.00001406926,0.00004588522,0.00008194081,0.00008784923,0.0001919999,0.0008028703,0.9940811,0.00001341923],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0002090023,0.00009646319,0.0004228156,0.0001348764,0.000122617,0.00002223563,0.9830032,0.001960083,0.01402876],"genre_scores_gemma":[0.00228949,0.0002594086,0.002359275,0.0001717623,0.00003790628,0.00009211582,0.9697691,0.002347559,0.02267348],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8592948,"threshold_uncertainty_score":0.4928923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07164206957544131,"score_gpt":0.2900855226279561,"score_spread":0.2184434530525148,"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."}}