{"id":"W7092681760","doi":"10.15468/dl.yrgtfd","title":"Occurrence Download","year":2025,"lang":"","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Botanical Studies and Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Order (exchange); Identification (biology)","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":[0.0009733416,0.001724246,0.001502899,0.004969101,0.001000834,0.002572865,0.002645993,0.001954714,0.1713803],"category_scores_gemma":[0.006906958,0.0008774043,0.00107946,0.009830297,0.000431648,0.002298939,0.002510072,0.001953654,0.2185695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001683254,"about_ca_system_score_gemma":0.002361742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0260964,"about_ca_topic_score_gemma":0.0393201,"domain_scores_codex":[0.9989962,0.0001320275,0.0001324303,0.0003332804,0.000236178,0.0001699009],"domain_scores_gemma":[0.9973577,0.0007690685,0.0002516661,0.0006423516,0.0006800204,0.0002991181],"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":[0.00002605155,0.00001038918,0.0003869635,0.0004501989,0.00001259498,0.00001378205,0.00002471779,0.0001167014,0.00008242539,0.0003635886,0.9970756,0.001436876],"study_design_scores_gemma":[0.00006859379,0.000006724381,0.001779613,0.0001901286,0.00001227474,0.00003090933,0.00008366701,0.0001622212,0.0001538398,0.0007255337,0.9967707,0.00001585826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004005917,0.00002161624,0.00004238806,0.00003696736,0.00001030638,0.000005210165,0.9988523,0.0003625126,0.0006287026],"genre_scores_gemma":[0.0001831486,0.00003376132,0.0002132833,0.00004806847,0.00000352129,0.00004484343,0.9987739,0.0001769893,0.0005225532],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8286197,"threshold_uncertainty_score":0.5733243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01722040641561087,"score_gpt":0.216923785118684,"score_spread":0.1997033787030731,"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."}}