{"id":"W6943489760","doi":"10.15468/dl.c9xzgm","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":"Download; Matching (statistics); Range (aeronautics); Asparagus","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":[0.0009973159,0.001901271,0.001600011,0.005072836,0.0009286954,0.002522369,0.002787457,0.001970093,0.1509867],"category_scores_gemma":[0.005634634,0.0008785152,0.001187261,0.009622717,0.0004360142,0.002162845,0.002564119,0.001893804,0.2066378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001451917,"about_ca_system_score_gemma":0.002177747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01814278,"about_ca_topic_score_gemma":0.02997602,"domain_scores_codex":[0.9989496,0.0001407708,0.000143487,0.0003540263,0.0002337493,0.0001783886],"domain_scores_gemma":[0.9976698,0.0006132789,0.0002325767,0.0006365629,0.0005757345,0.0002719694],"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":[0.00003558452,0.00001248254,0.0004127391,0.0006651609,0.00001872662,0.00001679292,0.00002407866,0.0001306043,0.0001637442,0.0004135647,0.9964617,0.001644694],"study_design_scores_gemma":[0.00007565085,0.000008998418,0.001974101,0.0002009319,0.0000158273,0.00003890048,0.00006381482,0.0001304782,0.000219111,0.0007179743,0.9965365,0.00001768876],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004173606,0.0000289589,0.00004055017,0.00003107571,0.00001101536,0.000005513357,0.9988921,0.0003555218,0.0005935054],"genre_scores_gemma":[0.0001559676,0.00003365245,0.0001714087,0.00004344742,0.000003174932,0.00003889884,0.9990494,0.0001232163,0.0003808576],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8490133,"threshold_uncertainty_score":0.5051008,"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."}}