{"id":"W6886979760","doi":"10.15468/dl.f9dt37","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); 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":[0.00104702,0.002054519,0.001601792,0.005177578,0.0009293216,0.002567177,0.002832045,0.00197709,0.1472125],"category_scores_gemma":[0.005994917,0.0008992536,0.001206352,0.009737212,0.0004529069,0.00225259,0.002653414,0.001890758,0.2163873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159815,"about_ca_system_score_gemma":0.002331013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02044301,"about_ca_topic_score_gemma":0.03301747,"domain_scores_codex":[0.9988944,0.0001558187,0.0001436825,0.0003773274,0.0002457144,0.0001831545],"domain_scores_gemma":[0.9975889,0.0006209576,0.0002358228,0.0006782975,0.0005880828,0.0002879555],"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":[0.0000339278,0.00001130032,0.0003568188,0.0005827413,0.00001710382,0.00001493875,0.0000225739,0.0001263195,0.0001309427,0.000388976,0.9968077,0.001506739],"study_design_scores_gemma":[0.00007272919,0.000008369573,0.001752533,0.0001827031,0.00001459578,0.0000362197,0.00005987265,0.000138132,0.0002000426,0.0007921901,0.9967256,0.000016961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004177948,0.00003137792,0.00004232255,0.0000343904,0.00001083088,0.000005333008,0.9987961,0.0004127159,0.000625218],"genre_scores_gemma":[0.0001589823,0.00003420828,0.000171365,0.00004581311,0.000003215408,0.00003611199,0.9990011,0.0001398562,0.0004093049],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8527875,"threshold_uncertainty_score":0.4924749,"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."}}