{"id":"W6961873804","doi":"10.15468/dl.5kpr7m","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":[0.0009737099,0.002278875,0.001673274,0.004548,0.001027583,0.002621135,0.003150427,0.002000326,0.1385632],"category_scores_gemma":[0.006202405,0.0009568485,0.001250089,0.009146434,0.0004666418,0.002393922,0.002608823,0.002018599,0.1943704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001753588,"about_ca_system_score_gemma":0.002616935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02463338,"about_ca_topic_score_gemma":0.04151274,"domain_scores_codex":[0.9989797,0.000139844,0.0001384527,0.0003649306,0.0002227494,0.0001543138],"domain_scores_gemma":[0.9978386,0.0006101831,0.0002018805,0.0005480057,0.0005431735,0.0002582422],"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":[0.00003939837,0.00001319496,0.0003972274,0.0006121044,0.00001724169,0.00001758209,0.00002559255,0.0001561351,0.0001243509,0.0004706304,0.9965248,0.001601781],"study_design_scores_gemma":[0.00008768166,0.000009291855,0.001467163,0.0001856338,0.00001562423,0.00004158594,0.00006772154,0.0002074175,0.000206063,0.0009649565,0.9967277,0.0000190685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004854238,0.00003307166,0.00005956103,0.00003723588,0.00001108168,0.000006076012,0.9985085,0.0006065988,0.0006892763],"genre_scores_gemma":[0.0001602558,0.00003904159,0.0002530036,0.00004607055,0.000002693759,0.0000371672,0.9988379,0.0001949886,0.0004288905],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8614368,"threshold_uncertainty_score":0.46354,"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."}}