{"id":"W6905681523","doi":"10.15468/dl.8yu2mz","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":"Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology); Download","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":[0.0009615179,0.002260657,0.001624664,0.004563448,0.001026422,0.00260126,0.00313285,0.001954817,0.1349107],"category_scores_gemma":[0.005997998,0.0009322438,0.001223761,0.009060764,0.0004698687,0.002338789,0.002570126,0.002004412,0.1950433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001709472,"about_ca_system_score_gemma":0.002583558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02420173,"about_ca_topic_score_gemma":0.04100884,"domain_scores_codex":[0.9989873,0.0001389058,0.0001334232,0.0003607591,0.0002244698,0.000155148],"domain_scores_gemma":[0.997877,0.0005850926,0.0001971195,0.0005470722,0.0005322712,0.0002613735],"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":[0.00003778153,0.00001297132,0.0003898837,0.0005622301,0.00001633414,0.00001747779,0.00002465753,0.0001509458,0.0001233878,0.000461406,0.9966277,0.001575021],"study_design_scores_gemma":[0.00008319766,0.000009198726,0.001471163,0.0001722647,0.00001472561,0.00004261556,0.00006686389,0.0002091054,0.0002122465,0.0009376439,0.9967624,0.00001853383],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005345169,0.00003487219,0.00006041369,0.00003789641,0.00001162474,0.000006163101,0.9984283,0.0006347152,0.0007325162],"genre_scores_gemma":[0.0001653902,0.00003836977,0.0002482602,0.00004446732,0.000002761983,0.0000354275,0.9988313,0.0001905707,0.0004434149],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8650894,"threshold_uncertainty_score":0.4513211,"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."}}