{"id":"W6887285866","doi":"10.15468/dl.whczgh","title":"Occurrence Download","year":2023,"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); Data set; 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":[0.000937428,0.001955281,0.001612133,0.005174138,0.001189031,0.002765029,0.002932471,0.002220696,0.1614351],"category_scores_gemma":[0.006198604,0.0009546357,0.00139016,0.009814737,0.0004640852,0.002634251,0.002700385,0.002080375,0.2340504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001624962,"about_ca_system_score_gemma":0.002432873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01955179,"about_ca_topic_score_gemma":0.03314239,"domain_scores_codex":[0.9988695,0.0001540169,0.0001514398,0.0004089287,0.0002276556,0.0001884127],"domain_scores_gemma":[0.9975466,0.0006873486,0.0002068092,0.0006679799,0.00062855,0.0002627072],"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":[0.0000307309,0.00001199905,0.0004209476,0.0006232195,0.00001492958,0.00001835505,0.00002500287,0.0001142382,0.0001258217,0.0003746538,0.9965667,0.001673537],"study_design_scores_gemma":[0.00006513296,0.000008447505,0.001729269,0.0002029746,0.00001464985,0.00004707324,0.00007600732,0.0001588761,0.0001844546,0.0007416265,0.9967546,0.00001684954],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000553079,0.00004134264,0.00005956611,0.00004718655,0.00001651705,0.000007361633,0.9984243,0.0005074172,0.0008410742],"genre_scores_gemma":[0.0001766353,0.00004236959,0.0002228754,0.00005904636,0.000004329032,0.00004884217,0.9987446,0.0001595487,0.0005417081],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8385649,"threshold_uncertainty_score":0.5400543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}