{"id":"W7106262755","doi":"10.15468/dl.7vk49x","title":"Occurrence Download","year":2025,"lang":"","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); Data collection; Range (aeronautics); Data set","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":[0.0008919575,0.001682916,0.001424387,0.004882131,0.0008971415,0.002341348,0.002511222,0.001683994,0.1509721],"category_scores_gemma":[0.005186061,0.0007760382,0.001032147,0.01022767,0.0004043792,0.002091884,0.002269089,0.001772039,0.2011404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001713663,"about_ca_system_score_gemma":0.002767989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03620613,"about_ca_topic_score_gemma":0.06117407,"domain_scores_codex":[0.9990471,0.000119791,0.0001106984,0.0003239868,0.0002268649,0.0001715326],"domain_scores_gemma":[0.9976515,0.0005653389,0.0002302102,0.000600607,0.0006536991,0.0002985461],"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":[0.00002497858,0.000008952278,0.0003934143,0.0004115465,0.00001362015,0.000011825,0.00002005348,0.0001210753,0.00009556767,0.0003649619,0.997134,0.001399871],"study_design_scores_gemma":[0.00005819916,0.000007026712,0.002266713,0.0001756192,0.00001342182,0.00002900539,0.00007303536,0.0001459991,0.0001822131,0.0007489108,0.9962826,0.00001717341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000352792,0.00002035168,0.00003641953,0.00002647925,0.000009538606,0.000004049367,0.998991,0.0002989121,0.0005780358],"genre_scores_gemma":[0.0001614629,0.0000271438,0.0001743771,0.00003659383,0.000003088911,0.00003012271,0.9989789,0.0001166358,0.0004717547],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8490279,"threshold_uncertainty_score":0.5050521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}