{"id":"W6905656859","doi":"10.15468/dl.hva3f3","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); Download; Range (aeronautics); Identification (biology); 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":[0.0009819528,0.002333894,0.001740357,0.004533191,0.001082926,0.002679333,0.003288206,0.002268394,0.137025],"category_scores_gemma":[0.006114293,0.0009768421,0.001344047,0.008837208,0.000489275,0.002431425,0.00269461,0.002269965,0.2026411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001730438,"about_ca_system_score_gemma":0.002519139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02474628,"about_ca_topic_score_gemma":0.04020653,"domain_scores_codex":[0.9989989,0.0001323329,0.0001274548,0.0003567913,0.0002287507,0.0001557379],"domain_scores_gemma":[0.9978681,0.000608354,0.0001813733,0.0005738764,0.0005083637,0.0002598687],"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":[0.00003610026,0.00001395493,0.000361693,0.0005546996,0.00001738812,0.00001897977,0.00002445372,0.0001632064,0.0001223261,0.0004188047,0.9968013,0.001467063],"study_design_scores_gemma":[0.0001025094,0.000009492954,0.001658598,0.0001914849,0.00001634818,0.00004813372,0.00007504137,0.0002574404,0.0002229577,0.0009952398,0.9964024,0.00002026317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005168529,0.00003561436,0.00006117969,0.00004512992,0.00001266598,0.000006595986,0.9984651,0.0006550016,0.0006670597],"genre_scores_gemma":[0.0001620809,0.00003554302,0.0002323707,0.00004650695,0.000002934448,0.00003802384,0.9989148,0.0001811993,0.0003865659],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8629751,"threshold_uncertainty_score":0.4583941,"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."}}