{"id":"W6886967087","doi":"10.15468/dl.7w8re7","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); Set (abstract data type)","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":[0.0009362735,0.001956383,0.001554881,0.004979788,0.001062747,0.002520329,0.002813382,0.002003351,0.1555185],"category_scores_gemma":[0.006238962,0.0008795194,0.001285629,0.009768463,0.000458581,0.002227639,0.00259394,0.001918736,0.2081661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00166588,"about_ca_system_score_gemma":0.002501827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02799787,"about_ca_topic_score_gemma":0.04345271,"domain_scores_codex":[0.9989828,0.0001316282,0.0001305675,0.0003483267,0.0002385358,0.0001681358],"domain_scores_gemma":[0.9976172,0.0006866798,0.0002073517,0.0006267006,0.0006054822,0.0002565947],"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":[0.00002808798,0.0000108018,0.0003796396,0.0005030095,0.00001479066,0.00001566525,0.00002515431,0.0001281663,0.0001071561,0.0003583252,0.9968689,0.001560138],"study_design_scores_gemma":[0.00007245777,0.000008722043,0.002048246,0.0002107661,0.00001591642,0.0000422252,0.00009108665,0.0001839929,0.0001942672,0.000785185,0.9963288,0.00001838525],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004855013,0.00003066721,0.00005127334,0.00004116484,0.00001286058,0.000005517889,0.9986812,0.00048909,0.0006395184],"genre_scores_gemma":[0.0001667698,0.00003432482,0.0002062511,0.00004407483,0.000003241011,0.00003921143,0.9988939,0.0001606754,0.0004515329],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8444815,"threshold_uncertainty_score":0.5202612,"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."}}