{"id":"W6906128529","doi":"10.15468/dl.xbqjvd","title":"Occurrence Download","year":2025,"lang":"en","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":[0.0008582433,0.00174467,0.001488399,0.004726124,0.0009740212,0.002805444,0.002592106,0.001731792,0.1807934],"category_scores_gemma":[0.005625742,0.0008651286,0.001301927,0.00942611,0.000396658,0.002378995,0.002618131,0.001806403,0.2604955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001385461,"about_ca_system_score_gemma":0.002226559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02017159,"about_ca_topic_score_gemma":0.03272495,"domain_scores_codex":[0.9989843,0.0001241876,0.0001318957,0.0003645392,0.0002210635,0.0001739515],"domain_scores_gemma":[0.9977805,0.0005683015,0.000188663,0.0006294533,0.000594622,0.0002384473],"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":[0.00002900953,0.000009827618,0.0004819234,0.0005345591,0.0000162242,0.00001684587,0.0000274233,0.000139064,0.0001313456,0.0004057964,0.9961152,0.002092763],"study_design_scores_gemma":[0.00004922562,0.000006860947,0.001826866,0.0001581554,0.00001307981,0.00003543645,0.00008030572,0.0001704302,0.0001745005,0.0007381598,0.9967312,0.0000158088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005218071,0.00003110137,0.00006948804,0.00004088518,0.00001716651,0.00000581566,0.9982918,0.0006138969,0.0008776642],"genre_scores_gemma":[0.0002013225,0.00004000727,0.0002741275,0.00004883573,0.000004640268,0.00004164338,0.9985643,0.0002135909,0.0006116328],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8192067,"threshold_uncertainty_score":0.6048141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}