{"id":"W6887153749","doi":"10.15468/dl.ppr2my","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); Danaus; Range (aeronautics); UniProt","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":[0.0009222628,0.001993218,0.001512343,0.004383331,0.00101492,0.002510694,0.002910036,0.002070182,0.1596973],"category_scores_gemma":[0.00632107,0.0009283198,0.001255512,0.008536195,0.0004294289,0.002420786,0.002522035,0.002003553,0.2209883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001593844,"about_ca_system_score_gemma":0.002342581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02462014,"about_ca_topic_score_gemma":0.03868982,"domain_scores_codex":[0.9990048,0.0001274995,0.0001256769,0.000352037,0.0002255553,0.0001645262],"domain_scores_gemma":[0.9976426,0.0006764274,0.000202457,0.0006214716,0.00058709,0.000269956],"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":[0.00002747293,0.00001098282,0.0003568851,0.0004402106,0.00001298956,0.00001423899,0.00002205143,0.0001183116,0.00009421659,0.0003169779,0.9972338,0.001351908],"study_design_scores_gemma":[0.00007486142,0.000008864145,0.00192894,0.0001912952,0.00001475547,0.00003901761,0.00007914463,0.0002060299,0.000208092,0.0008139769,0.9964162,0.00001890926],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004346838,0.00002546677,0.00005186849,0.00004088254,0.0000132027,0.000006037776,0.9986376,0.0005229294,0.0006584586],"genre_scores_gemma":[0.000167393,0.00002954696,0.000212009,0.00004791817,0.000003351542,0.00004198408,0.998871,0.0001688917,0.0004578813],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8403027,"threshold_uncertainty_score":0.5342406,"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."}}