{"id":"W6905891850","doi":"10.15468/dl.cay3hz","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); 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":[0.0009025456,0.001997347,0.001586073,0.005121391,0.0009668671,0.002478261,0.002739802,0.00196092,0.1463021],"category_scores_gemma":[0.005530838,0.0008378883,0.001215869,0.009848777,0.000423171,0.002296509,0.002409026,0.001881109,0.2135438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001687407,"about_ca_system_score_gemma":0.002445969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02705263,"about_ca_topic_score_gemma":0.04515293,"domain_scores_codex":[0.9989609,0.0001312481,0.0001343026,0.0003560591,0.0002378441,0.0001797294],"domain_scores_gemma":[0.997578,0.0006357469,0.0002185249,0.0006234113,0.0006563744,0.0002879488],"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":[0.0000302218,0.00001100261,0.0003714795,0.0005406836,0.00001536419,0.00001577002,0.00002106997,0.0001271999,0.0001289916,0.0003472631,0.9969388,0.001452166],"study_design_scores_gemma":[0.00006797717,0.000008611787,0.002043773,0.000192353,0.00001509719,0.00003696934,0.00006919084,0.000157186,0.000205151,0.0007098735,0.9964755,0.00001839269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004005168,0.00002663825,0.00003922359,0.00003096318,0.00001080008,0.000005127211,0.9988864,0.0003586505,0.0006021628],"genre_scores_gemma":[0.0001480163,0.0000307959,0.0001635843,0.00003758591,0.000003207535,0.00003320457,0.9990577,0.0001153592,0.0004104214],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8536978,"threshold_uncertainty_score":0.4894295,"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."}}