{"id":"W6928999483","doi":"10.3897/phytokeys.244.124565.figure3","title":"Figure 3 from: Pirie MD, Bellstedt DU, Bouman RW, Fagúndez J, Gehrke B, Kandziora M, Le Maitre NC, Musker SD, Newman E, Nürk NM, Oliver EGH, Pipins S, van der Niet T, Forest F (2024) Spatial decoupling of taxon richness, phylogenetic diversity and threat status in the megagenus Erica (Ericaceae). PhytoKeys 244: 127-150. https://doi.org/10.3897/phytokeys.244.124565","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taxon; Table (database); Species richness; Phylogenetic tree; Quarter (Canadian coin); Distribution (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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003552489,0.0009214599,0.0006531831,0.001191616,0.001106946,0.002763069,0.001004095,0.0009112951,0.9327281],"category_scores_gemma":[0.002736851,0.0003796555,0.0004875373,0.001883426,0.0004931681,0.002094459,0.001809275,0.001197957,0.8339966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006453792,"about_ca_system_score_gemma":0.001049111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004545339,"about_ca_topic_score_gemma":0.01122409,"domain_scores_codex":[0.9997703,0.00002348597,0.00001350378,0.00005793713,0.00009979031,0.00003500695],"domain_scores_gemma":[0.999112,0.0002179037,0.00004018187,0.0001454301,0.0002771256,0.0002074661],"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":[0.00002518522,0.00001121495,0.0001758707,0.0001094026,0.000001907273,0.00004523432,0.00006644204,0.00002740436,0.0001253338,0.0008270001,0.9821906,0.01639448],"study_design_scores_gemma":[0.000008677963,0.000003610765,0.0005576384,0.00005589799,0.000001680083,0.00005725632,0.000047702,0.00003092295,0.0001104914,0.0004366042,0.9986863,0.000003183299],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.0007600475,0.0003176318,0.002121449,0.00110546,0.001611851,0.0001498152,0.08372653,0.007027832,0.9031795],"genre_scores_gemma":[0.00635778,0.0004575783,0.002518531,0.0006394904,0.000244008,0.0001149011,0.04039195,0.004656123,0.9446195],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9327281,"threshold_uncertainty_score":0.09595519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02400239452780898,"score_gpt":0.2209009312324955,"score_spread":0.1968985367046865,"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."}}