{"id":"W6905672945","doi":"10.15468/dl.fmfk6h","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":[0.0008718648,0.002095941,0.001523543,0.004137246,0.001033021,0.002546367,0.003018526,0.002058571,0.1365372],"category_scores_gemma":[0.005418056,0.000890415,0.001215618,0.007902157,0.0004479089,0.002293061,0.002549599,0.002048839,0.20152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659099,"about_ca_system_score_gemma":0.002365054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02324076,"about_ca_topic_score_gemma":0.0389616,"domain_scores_codex":[0.9990969,0.0001192223,0.0001125899,0.0003230307,0.000203854,0.0001444223],"domain_scores_gemma":[0.9981259,0.0005088235,0.0001683956,0.0004954616,0.0004628373,0.0002386387],"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":[0.00003360404,0.00001314348,0.000393992,0.0004984465,0.00001509962,0.00001812131,0.00002371333,0.0001449475,0.0001146726,0.0004128656,0.9969044,0.001426879],"study_design_scores_gemma":[0.00009076443,0.000009430445,0.001809564,0.00018455,0.00001522079,0.00004817269,0.00008276018,0.000254144,0.0002331542,0.0009674271,0.9962851,0.00001971016],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005431199,0.00003026301,0.00005621979,0.00004304228,0.00001203762,0.00000623988,0.9985286,0.0005710649,0.0006982579],"genre_scores_gemma":[0.0001777727,0.00003233949,0.0002263164,0.00004611999,0.000003072498,0.00003664376,0.9988967,0.0001551646,0.0004256787],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8634628,"threshold_uncertainty_score":0.4567625,"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."}}