{"id":"W6886962657","doi":"10.15468/dl.8j745h","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Order (exchange); Support vector machine","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":[0.001084793,0.002225882,0.001760452,0.004304903,0.001082551,0.002689261,0.003429002,0.002266712,0.1347417],"category_scores_gemma":[0.006125376,0.0009822728,0.001221917,0.008465216,0.0004977871,0.002482001,0.002780257,0.002433833,0.1985423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001824052,"about_ca_system_score_gemma":0.002565202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0229802,"about_ca_topic_score_gemma":0.03948631,"domain_scores_codex":[0.998943,0.0001428048,0.0001298545,0.0003777532,0.0002450742,0.0001615482],"domain_scores_gemma":[0.9977363,0.0006242128,0.0001968963,0.0006131064,0.0005537265,0.0002756972],"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":[0.00003467081,0.00001405435,0.000356853,0.0005501516,0.00001687715,0.000017607,0.00002422734,0.0001625074,0.0001224439,0.0004557382,0.9967743,0.001470606],"study_design_scores_gemma":[0.00009293071,0.000008078431,0.001584168,0.0001802945,0.0000148571,0.0000413602,0.00007211737,0.0002351511,0.0002366465,0.001017484,0.9964973,0.00001969193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000450172,0.00003040867,0.00006094063,0.0000397955,0.00001099472,0.00000627552,0.9985982,0.0005653856,0.0006430406],"genre_scores_gemma":[0.000155824,0.00003216779,0.0002555542,0.00004302224,0.000002558485,0.00003993642,0.9989036,0.0001683262,0.0003989803],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8652583,"threshold_uncertainty_score":0.4507559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0089153214616674,"score_gpt":0.2136767702076688,"score_spread":0.2047614487460014,"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."}}