{"id":"W6887015056","doi":"10.15468/dl.d9ksub","title":"Occurrence Download","year":2025,"lang":"it","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taraxacum officinale; Cirsium arvense; Bromus tectorum; Agropyron cristatum; Stellaria media","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":[0.0006750076,0.002945342,0.002077453,0.006459489,0.001345572,0.003599005,0.002945591,0.002769353,0.1715515],"category_scores_gemma":[0.004955568,0.0008218748,0.001889001,0.0100969,0.0003839621,0.004096012,0.00327857,0.002105376,0.2931576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001871565,"about_ca_system_score_gemma":0.002248311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02131683,"about_ca_topic_score_gemma":0.04099827,"domain_scores_codex":[0.9988478,0.0001268865,0.0001662817,0.0004078344,0.000249668,0.0002015599],"domain_scores_gemma":[0.9982286,0.0003941765,0.0001490589,0.0004578631,0.0005375128,0.0002327285],"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":[0.00007114066,0.00002061011,0.000520534,0.0007965078,0.00001906665,0.00004438489,0.00002580643,0.0001473277,0.0001737974,0.0005196147,0.9933478,0.004313402],"study_design_scores_gemma":[0.00006360102,0.00001619564,0.001557284,0.0002007681,0.00001657528,0.00008844464,0.00008937871,0.0004428415,0.0002011316,0.001036113,0.9962658,0.00002185689],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001421476,0.0001677661,0.0001577194,0.0001080041,0.00003977625,0.00001736486,0.9945597,0.002264999,0.00254248],"genre_scores_gemma":[0.0003414533,0.0001019864,0.000467858,0.0001023084,0.000009606127,0.0000427669,0.9976832,0.0002415829,0.001009232],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8284485,"threshold_uncertainty_score":0.5738968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01448005868463553,"score_gpt":0.2302836393323859,"score_spread":0.2158035806477504,"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."}}