{"id":"W6962243493","doi":"10.15468/dl.2twkvw","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); Identification (biology); Order (exchange)","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":[0.0009061205,0.002040992,0.001573855,0.005103693,0.001073543,0.002707464,0.002858265,0.002147924,0.1875875],"category_scores_gemma":[0.005903573,0.000991769,0.001191055,0.009796324,0.0004614484,0.002559378,0.002653313,0.002056891,0.2494175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001842018,"about_ca_system_score_gemma":0.002482296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0289189,"about_ca_topic_score_gemma":0.04817551,"domain_scores_codex":[0.9990034,0.0001285188,0.0001202644,0.0003411763,0.0002385616,0.0001681931],"domain_scores_gemma":[0.9977336,0.00064049,0.0001982206,0.0005769382,0.0006054108,0.000245234],"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":[0.00002552662,0.00001035787,0.0003026706,0.0004962544,0.00001235411,0.00001440964,0.00002564587,0.0001105787,0.00009759584,0.0004019721,0.9970183,0.001484259],"study_design_scores_gemma":[0.00005934172,0.000006257626,0.001413642,0.0001798534,0.00001175176,0.00003332291,0.00007467036,0.000135343,0.0001689467,0.0007373015,0.9971629,0.00001673213],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003806147,0.00002591216,0.00005380366,0.00003716,0.00001165239,0.000005574013,0.9985055,0.0004884408,0.0008339495],"genre_scores_gemma":[0.0001656783,0.00003571452,0.0002577835,0.0000448778,0.00000346505,0.00004436757,0.9986286,0.000215364,0.0006042112],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8124125,"threshold_uncertainty_score":0.6275427,"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."}}