{"id":"W6906225703","doi":"10.15468/dl.w8wapx","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); Software; Confidentiality","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":[0.001001316,0.00191868,0.001603195,0.005396049,0.000950841,0.002540882,0.002846283,0.001876607,0.1650797],"category_scores_gemma":[0.005747872,0.0009237402,0.001184018,0.01028202,0.0004403201,0.002211502,0.002659421,0.00187622,0.2253687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001482125,"about_ca_system_score_gemma":0.002316725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0204726,"about_ca_topic_score_gemma":0.03291164,"domain_scores_codex":[0.9989179,0.0001420515,0.0001408197,0.0003670517,0.0002437899,0.0001883147],"domain_scores_gemma":[0.997605,0.0006105387,0.0002381663,0.0006617108,0.0005925906,0.0002919339],"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":[0.00003207822,0.00001097658,0.0003856389,0.0005892017,0.00001722767,0.00001497427,0.00002423926,0.000116192,0.0001407834,0.0004025885,0.9966562,0.001609844],"study_design_scores_gemma":[0.00006610554,0.000007827467,0.001872567,0.0001833833,0.0000148916,0.00003579965,0.00006427665,0.0001163098,0.000203033,0.0007110351,0.9967078,0.00001704207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004119952,0.00002791267,0.00004318122,0.00003088281,0.00001093294,0.00000500712,0.998827,0.0003851407,0.0006286694],"genre_scores_gemma":[0.0001525987,0.00003216366,0.0001771291,0.00004253408,0.00000317882,0.0000361401,0.9989781,0.0001455931,0.000432655],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8349203,"threshold_uncertainty_score":0.5522465,"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."}}