{"id":"W6905935614","doi":"10.15468/dl.z9urhn","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); Listing (finance); Range (aeronautics); Order (exchange)","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":[0.001038417,0.001941236,0.001590682,0.005413153,0.0009011831,0.002563341,0.002707826,0.001882072,0.1895786],"category_scores_gemma":[0.006786286,0.0009504112,0.001200321,0.009699628,0.0004383908,0.002225108,0.002761251,0.001818945,0.2337416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001559894,"about_ca_system_score_gemma":0.002309651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02109726,"about_ca_topic_score_gemma":0.03241201,"domain_scores_codex":[0.999008,0.0001228225,0.0001387918,0.0003284814,0.0002223221,0.0001796805],"domain_scores_gemma":[0.9973556,0.0007540257,0.0002586768,0.0006648183,0.0006639357,0.000302946],"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":[0.00002905863,0.000009246629,0.0003721386,0.0006515654,0.00001548994,0.00001526676,0.00002195037,0.0001039822,0.0001156848,0.0003602166,0.99689,0.001415424],"study_design_scores_gemma":[0.00007654238,0.000008050883,0.002028478,0.0002558901,0.00001638788,0.00003626795,0.00006294169,0.0001169118,0.0001842272,0.0006989107,0.9964985,0.00001690612],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002730248,0.00001954679,0.00003166685,0.00002566527,0.000008979352,0.00000476862,0.999056,0.0002979491,0.0005281609],"genre_scores_gemma":[0.0001425654,0.00003236339,0.0001628994,0.00004274841,0.000003304975,0.00004161966,0.9990422,0.0001442537,0.0003880482],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8104214,"threshold_uncertainty_score":0.6342036,"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."}}