{"id":"W6962173940","doi":"10.15468/dl.k27mhh","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Natural (archaeology)","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":[0.001025149,0.002047124,0.001488846,0.005141191,0.0009131282,0.002434756,0.002753752,0.001898454,0.1484157],"category_scores_gemma":[0.005898149,0.0008807481,0.001194571,0.00969038,0.0004320456,0.002296855,0.002558766,0.001890399,0.220002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582935,"about_ca_system_score_gemma":0.002342529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02250364,"about_ca_topic_score_gemma":0.03713316,"domain_scores_codex":[0.9988841,0.000154789,0.0001445706,0.0003774958,0.0002531013,0.0001858143],"domain_scores_gemma":[0.9975017,0.0006325068,0.0002338726,0.000691161,0.0006413856,0.0002993022],"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":[0.00002844219,0.00001043559,0.0003265465,0.0004462695,0.0000143728,0.00001260606,0.00001926116,0.0001167939,0.0001068366,0.0003555788,0.9972051,0.001357733],"study_design_scores_gemma":[0.0000682365,0.000008430226,0.001834841,0.0001711566,0.00001380904,0.0000350567,0.00006095798,0.0001537793,0.0001968675,0.0007772872,0.9966624,0.00001721912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004207049,0.00002663709,0.0000429095,0.00003244547,0.00001076788,0.000005417685,0.998787,0.0004052734,0.0006475096],"genre_scores_gemma":[0.0001467069,0.00002886337,0.0001685889,0.00004162839,0.000003101093,0.00003367949,0.9990534,0.0001283324,0.0003956537],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8515843,"threshold_uncertainty_score":0.4965001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}