{"id":"W6924540687","doi":"10.15468/dl.r7nyex","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":[0.0009345089,0.002352646,0.001618212,0.004561801,0.0009976403,0.002552088,0.00307394,0.002019245,0.1347747],"category_scores_gemma":[0.00583708,0.000942863,0.001255019,0.00902944,0.0004600679,0.002326051,0.002593184,0.00199536,0.1951846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00174393,"about_ca_system_score_gemma":0.002559935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0247931,"about_ca_topic_score_gemma":0.04218831,"domain_scores_codex":[0.9989968,0.000133002,0.000134619,0.0003579096,0.0002233458,0.0001544849],"domain_scores_gemma":[0.9979327,0.0005603729,0.0001908756,0.0005332094,0.0005278091,0.0002550411],"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":[0.00003935053,0.00001387838,0.0004080347,0.0005930374,0.00001684145,0.00001833881,0.00002538888,0.0001575038,0.0001310335,0.0004605804,0.996518,0.001617956],"study_design_scores_gemma":[0.00008685016,0.000009609363,0.001570549,0.0001774036,0.00001518913,0.00004269881,0.00006840027,0.0002174843,0.0002185186,0.0009236322,0.9966505,0.00001914678],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005342629,0.00003485176,0.00005809155,0.00003696667,0.00001141887,0.000006206906,0.9984632,0.0006230879,0.0007128167],"genre_scores_gemma":[0.0001641659,0.00003797287,0.0002524286,0.00004511429,0.000002734941,0.00003512475,0.9988361,0.0001820484,0.0004443445],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8652253,"threshold_uncertainty_score":0.4508664,"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."}}