{"id":"W6924721379","doi":"10.15468/dl.vf5x67","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0009897749,0.001783204,0.001519063,0.004614274,0.001011524,0.002965849,0.002764224,0.001938062,0.1710102],"category_scores_gemma":[0.006535654,0.000809815,0.001263358,0.008952162,0.0004170919,0.002460685,0.002573404,0.001931836,0.2649564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001520144,"about_ca_system_score_gemma":0.002358104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01839896,"about_ca_topic_score_gemma":0.03065476,"domain_scores_codex":[0.9989036,0.000153448,0.0001397464,0.0003938912,0.0002308214,0.0001784245],"domain_scores_gemma":[0.9975429,0.0006617286,0.0002062996,0.0006731009,0.0006605359,0.0002554315],"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":[0.00002694948,0.000009498725,0.0003963198,0.0004412431,0.00001306522,0.00001422274,0.00002232249,0.0001301562,0.00008378244,0.0004225924,0.9966232,0.00181669],"study_design_scores_gemma":[0.00005408189,0.000007087367,0.001504955,0.0001676814,0.00001137784,0.00003116227,0.00006928898,0.0001822957,0.0001496184,0.0009190235,0.9968885,0.00001489623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004684923,0.00003427763,0.00006493185,0.00004816943,0.00001634387,0.000006269625,0.9983778,0.0005713479,0.0008339037],"genre_scores_gemma":[0.0001825374,0.00004234931,0.0002533837,0.00005880224,0.000004893348,0.00004544141,0.998556,0.000189212,0.0006673368],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8289899,"threshold_uncertainty_score":0.572086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02426434694614265,"score_gpt":0.1978859768691468,"score_spread":0.1736216299230041,"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."}}