{"id":"W6962238157","doi":"10.15468/dl.s5dztk","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Education and Public Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Herbarium; Download; Extant taxon; Welsh; Matching (statistics)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000579364,0.0001671116,0.0001838548,0.0001362758,0.0008295048,0.0003002992,0.0007171402,0.00039468,0.004589867],"category_scores_gemma":[0.0008672805,0.0001874699,0.0001182816,0.0006654297,0.0003399905,0.0009893839,0.0001773056,0.0002390865,0.04460349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006208053,"about_ca_system_score_gemma":0.001901045,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01707966,"about_ca_topic_score_gemma":0.0005378068,"domain_scores_codex":[0.9985397,0.0001744186,0.0002849481,0.0001597277,0.0005125046,0.0003286774],"domain_scores_gemma":[0.9987586,0.00004371989,0.000219187,0.0003747926,0.000373918,0.0002298151],"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":[0.000007380884,0.00002844145,0.0005010873,0.00005753306,0.00001391986,1.561748e-7,0.0006444405,3.589981e-7,5.920651e-10,0.00001197871,0.9965874,0.002147335],"study_design_scores_gemma":[0.0001300119,0.000005499815,0.00004570521,0.000002237636,0.00002249543,1.774839e-7,0.001519344,7.300988e-9,9.363168e-8,0.000003549044,0.9981019,0.0001689388],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003787589,0.00001465342,0.000001333995,0.003180078,0.001358588,0.0002713588,0.9830399,0.00009699356,0.0119992],"genre_scores_gemma":[0.000005393328,0.0001858467,7.290811e-7,0.002514538,0.000005584235,0.000004152836,0.9972782,2.793408e-9,0.000005566915],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04001362,"threshold_uncertainty_score":0.9963201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02203850041443962,"score_gpt":0.2967220427580207,"score_spread":0.2746835423435811,"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."}}