{"id":"W7106699101","doi":"10.15468/dl.xbja4e","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":[0.0008566488,0.001773644,0.001537993,0.005043212,0.001031149,0.002808425,0.00269457,0.001772062,0.1767841],"category_scores_gemma":[0.005923663,0.00088383,0.001276965,0.009314734,0.0004062624,0.002441723,0.00259984,0.00179593,0.2576852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001446842,"about_ca_system_score_gemma":0.002367876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02208792,"about_ca_topic_score_gemma":0.03542697,"domain_scores_codex":[0.9989844,0.0001196741,0.0001323873,0.0003617396,0.0002225886,0.0001791887],"domain_scores_gemma":[0.9976503,0.0005966313,0.0002062138,0.0006465855,0.0006510516,0.0002492802],"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":[0.00002971581,0.000009591023,0.000504475,0.0005317759,0.00001542365,0.00001750875,0.00002682309,0.0001259385,0.0001285344,0.0003860038,0.9961287,0.002095428],"study_design_scores_gemma":[0.00004894675,0.000006671703,0.001804859,0.0001652588,0.00001277212,0.00003611345,0.00007817962,0.0001582106,0.0001759637,0.000698542,0.9967985,0.00001601118],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005055932,0.00003172354,0.00006600968,0.00003907328,0.00001606934,0.000005757579,0.9983006,0.0006497505,0.0008404372],"genre_scores_gemma":[0.0002010978,0.00003979222,0.0002639343,0.00004901594,0.000004627325,0.00004254272,0.9985664,0.000219792,0.0006128302],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8232159,"threshold_uncertainty_score":0.5914018,"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."}}