{"id":"W6905723127","doi":"10.15468/dl.9mx5yq","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; Listing (finance); 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":[0.001094294,0.002036556,0.001649259,0.005604341,0.001047636,0.002673104,0.003029986,0.00192075,0.2034198],"category_scores_gemma":[0.00639382,0.001021492,0.001194556,0.009933999,0.0004979695,0.002392616,0.003005945,0.001927661,0.2629242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001837611,"about_ca_system_score_gemma":0.002756859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02749454,"about_ca_topic_score_gemma":0.04536593,"domain_scores_codex":[0.9990014,0.0001230188,0.0001234535,0.0003349755,0.0002289388,0.0001882432],"domain_scores_gemma":[0.9972695,0.0006819835,0.0002483542,0.000740667,0.0007352291,0.0003243712],"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":[0.00002576133,0.000008476141,0.0002743491,0.0004925643,0.00001224464,0.00001235629,0.00001925638,0.00008731682,0.0001016677,0.0003424211,0.9974141,0.001209499],"study_design_scores_gemma":[0.00006854403,0.000006381445,0.001599652,0.0001978264,0.00001281553,0.00003038631,0.0000561167,0.00009808773,0.0001689327,0.0006779248,0.9970674,0.00001602307],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002443378,0.00001711403,0.00003135738,0.00002528412,0.000008827302,0.000004921077,0.998961,0.0003356922,0.000591433],"genre_scores_gemma":[0.0001212514,0.00002827177,0.000169874,0.00004077352,0.000003007232,0.00003970908,0.9990158,0.000166531,0.0004148024],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7965801,"threshold_uncertainty_score":0.6805072,"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."}}