{"id":"W7106708897","doi":"10.15468/dl.7494m3","title":"Occurrence Download","year":2025,"lang":"","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","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":[0.0008915735,0.001740814,0.001532809,0.005160382,0.001068276,0.002898135,0.002696873,0.001801412,0.1883441],"category_scores_gemma":[0.006368041,0.0008951465,0.001262709,0.00950339,0.0004184886,0.002467672,0.002666535,0.001838356,0.2603442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00150101,"about_ca_system_score_gemma":0.002465486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02244729,"about_ca_topic_score_gemma":0.03571382,"domain_scores_codex":[0.9989522,0.0001243621,0.0001372705,0.0003754821,0.0002264471,0.0001841179],"domain_scores_gemma":[0.9974584,0.0006786718,0.000224777,0.0006812458,0.0006914121,0.0002655215],"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":[0.00002968036,0.000009154432,0.0004975164,0.0005444603,0.00001502529,0.00001770265,0.00002767208,0.0001192299,0.0001290758,0.0004093409,0.9961719,0.002029203],"study_design_scores_gemma":[0.00004777299,0.000006184499,0.001697931,0.0001655791,0.00001246823,0.00003497228,0.00007799683,0.0001395413,0.0001700737,0.000712404,0.9969196,0.00001556163],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004713882,0.00002987794,0.0000640557,0.00004050744,0.00001596653,0.000005709586,0.9983309,0.0006038346,0.0008620466],"genre_scores_gemma":[0.0002037103,0.00004082891,0.0002725526,0.00005345507,0.000004784163,0.00004454275,0.998499,0.000231608,0.0006494301],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8116559,"threshold_uncertainty_score":0.6300737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}