{"id":"W7081954498","doi":"10.15468/dl.dyg69k","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","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":[],"consensus_categories":[],"category_scores_codex":[0.000831409,0.002214156,0.001507766,0.004714817,0.001001065,0.002348338,0.002836484,0.001916848,0.125732],"category_scores_gemma":[0.005747071,0.000866409,0.001278171,0.009018469,0.000428778,0.002229985,0.002414383,0.001860162,0.1778086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001689946,"about_ca_system_score_gemma":0.002450566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0257243,"about_ca_topic_score_gemma":0.04201451,"domain_scores_codex":[0.9989493,0.0001320892,0.0001449186,0.0003614523,0.0002459507,0.0001662755],"domain_scores_gemma":[0.9977784,0.0005921096,0.0002006729,0.0005767237,0.0006033554,0.0002487949],"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":[0.00003451137,0.00001307131,0.0003712979,0.0004774033,0.00001408964,0.00001669351,0.0000213894,0.0001419582,0.0001204189,0.0003915747,0.9968253,0.001572218],"study_design_scores_gemma":[0.00008308465,0.00001064291,0.001784517,0.000162351,0.00001428712,0.00004781996,0.00007089508,0.0002458167,0.0002263836,0.0008519889,0.9964837,0.00001856243],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000623017,0.00003443197,0.00005984928,0.00004405726,0.00001408542,0.000006779242,0.9983786,0.0006541281,0.0007456509],"genre_scores_gemma":[0.0001724868,0.00003590625,0.0002363506,0.00004606828,0.000003246411,0.0000368735,0.9988696,0.0001600858,0.0004393318],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.125732,"threshold_uncertainty_score":0.4206154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116959082794947,"score_gpt":0.2070852442648293,"score_spread":0.1953893359853346,"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."}}