{"id":"W6887210197","doi":"10.15468/dl.srt423","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); Alien; 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":[0.001014018,0.001884978,0.001513463,0.004820911,0.0009942614,0.002474101,0.00276668,0.002135187,0.1455988],"category_scores_gemma":[0.005988641,0.0008623617,0.001243031,0.009351338,0.0004466786,0.00231408,0.002423349,0.002014829,0.2093849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00160596,"about_ca_system_score_gemma":0.002333849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02286005,"about_ca_topic_score_gemma":0.03839624,"domain_scores_codex":[0.9989248,0.000152177,0.000135588,0.0003742534,0.0002394244,0.0001736499],"domain_scores_gemma":[0.9973757,0.0007693968,0.0002333852,0.0006876242,0.0006518273,0.0002820312],"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":[0.00002895686,0.00001267485,0.0003905666,0.0005029285,0.00001415253,0.00001458113,0.00002185535,0.0001253295,0.000113645,0.0003635944,0.997006,0.001405764],"study_design_scores_gemma":[0.00006956013,0.000009200559,0.002073065,0.000190197,0.0000144358,0.0000372938,0.00007783288,0.0001572621,0.0001973391,0.0007854349,0.9963698,0.00001864204],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004373503,0.0000253014,0.00004281789,0.00003779055,0.0000119217,0.000005384364,0.9989002,0.0003365388,0.0005962472],"genre_scores_gemma":[0.0001621674,0.00003085067,0.0001921859,0.00004376476,0.000003381583,0.00004149741,0.9989378,0.0001247605,0.0004636027],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8544012,"threshold_uncertainty_score":0.4870763,"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."}}