{"id":"W6924383380","doi":"10.15468/dl.fdkeun","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); Set (abstract data type)","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":[0.0009828144,0.002376623,0.001764953,0.004586895,0.001141047,0.002760287,0.003426406,0.002314758,0.1432096],"category_scores_gemma":[0.006253509,0.0009987017,0.001355561,0.00906043,0.0004999261,0.002548606,0.002786104,0.002274143,0.2107744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001779271,"about_ca_system_score_gemma":0.002601135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02470357,"about_ca_topic_score_gemma":0.04039191,"domain_scores_codex":[0.9989914,0.0001309757,0.0001265175,0.0003590938,0.0002330841,0.0001589168],"domain_scores_gemma":[0.9978632,0.0005961488,0.0001788753,0.0005823412,0.0005179238,0.0002614767],"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":[0.00003632978,0.00001321561,0.0003368148,0.0005300447,0.00001607805,0.00001847007,0.00002307032,0.0001497443,0.0001158397,0.0004061355,0.9969169,0.001437348],"study_design_scores_gemma":[0.0001017322,0.000009245546,0.001579487,0.000192824,0.00001588346,0.0000482942,0.00007522029,0.0002575061,0.000225553,0.001038526,0.9964359,0.00001993171],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004949495,0.00003558075,0.0000628117,0.00004564322,0.00001269134,0.000006730249,0.9983773,0.0007041876,0.0007055172],"genre_scores_gemma":[0.0001603,0.00003524392,0.0002321824,0.00004774609,0.00000292343,0.00003752068,0.9989051,0.0001902075,0.0003888354],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8567904,"threshold_uncertainty_score":0.479084,"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."}}