{"id":"W6962228591","doi":"10.15468/dl.g2srcz","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Probability and Statistical Research","field":"Mathematics","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":[0.000899146,0.002144489,0.001445211,0.004181191,0.0009646087,0.002315984,0.002911816,0.001971963,0.1210318],"category_scores_gemma":[0.006140981,0.0008298098,0.001284698,0.008055599,0.00043706,0.002148172,0.002337104,0.001886206,0.181141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001619112,"about_ca_system_score_gemma":0.002369776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02231145,"about_ca_topic_score_gemma":0.03928225,"domain_scores_codex":[0.9989426,0.0001479875,0.0001405734,0.0003701544,0.0002429453,0.0001558592],"domain_scores_gemma":[0.9976991,0.0006438781,0.0002077934,0.0006178879,0.0005839894,0.0002473845],"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":[0.00003232906,0.00001304879,0.0003701596,0.0004374378,0.00001401439,0.00001462618,0.00001944764,0.0001475603,0.00009871996,0.0003934088,0.9969808,0.001478271],"study_design_scores_gemma":[0.00009796007,0.00001156455,0.001800595,0.0001682787,0.00001498349,0.00004684983,0.00006696575,0.0002734649,0.0002157825,0.001024628,0.9962599,0.00001899717],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006380941,0.00003572372,0.00006310729,0.00004598199,0.00001441983,0.000006787636,0.9983916,0.0006663672,0.0007123338],"genre_scores_gemma":[0.0001874251,0.00003597271,0.0002669175,0.00005246327,0.000003700118,0.00004171141,0.9987639,0.0001706827,0.0004772132],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8789682,"threshold_uncertainty_score":0.4048916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0467988013084544,"score_gpt":0.314114483169401,"score_spread":0.2673156818609467,"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."}}