{"id":"W6905491922","doi":"10.15468/dl.9kqhfm","title":"Occurrence Download","year":2024,"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); The Internet","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":[0.0009432444,0.001963444,0.001610382,0.004960313,0.001035474,0.002531864,0.002835341,0.002115,0.152452],"category_scores_gemma":[0.005842279,0.0009397384,0.00124289,0.01000614,0.0004430146,0.002347594,0.002597102,0.001980549,0.2080331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001667417,"about_ca_system_score_gemma":0.002428004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0250232,"about_ca_topic_score_gemma":0.03876928,"domain_scores_codex":[0.9990103,0.0001309675,0.0001299897,0.0003397038,0.0002257597,0.000163108],"domain_scores_gemma":[0.9977175,0.0006585506,0.0002108657,0.000591303,0.0005657822,0.0002559706],"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":[0.00003268242,0.00001174987,0.0003995446,0.0005801368,0.00001642904,0.00001794542,0.00002652075,0.0001401378,0.0001369628,0.0004088446,0.9967088,0.001520247],"study_design_scores_gemma":[0.00007649249,0.000008143014,0.001954975,0.0001926228,0.00001542051,0.00004098274,0.00007919279,0.0001654957,0.0002003227,0.0007237324,0.9965245,0.00001805012],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004696461,0.00002801025,0.00004808214,0.00003786759,0.00001184616,0.000005219663,0.9987417,0.0004408277,0.0006394628],"genre_scores_gemma":[0.0001652359,0.00003353559,0.0001998856,0.0000420594,0.000003114843,0.00003893838,0.9989267,0.0001553356,0.000435193],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8475479,"threshold_uncertainty_score":0.5100029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}