{"id":"W6905553534","doi":"10.15468/dl.nuycxy","title":"Occurrence Download","year":2022,"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); Reference data; 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":[0.001153119,0.002006446,0.001703674,0.005291353,0.001087123,0.002905866,0.003017684,0.002071346,0.1868086],"category_scores_gemma":[0.00688986,0.001028867,0.00117091,0.01050312,0.0004741765,0.00252135,0.00277471,0.002108124,0.2539573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617545,"about_ca_system_score_gemma":0.002479376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0208374,"about_ca_topic_score_gemma":0.03406573,"domain_scores_codex":[0.9988207,0.0001583966,0.0001533246,0.0004136937,0.0002646382,0.0001891595],"domain_scores_gemma":[0.9972233,0.0008214633,0.0002596104,0.0007199263,0.0006626546,0.0003131106],"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":[0.00002688071,0.000009582765,0.0003182395,0.0005062986,0.00001380434,0.0000138104,0.00002402169,0.0001050585,0.0001040734,0.0003929117,0.9971998,0.001285514],"study_design_scores_gemma":[0.000062304,0.000006555211,0.001484549,0.0001822655,0.00001340683,0.00003367308,0.00006784709,0.000122922,0.0001716296,0.0007775142,0.9970605,0.00001679625],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003281268,0.0000237754,0.00004941415,0.00003331729,0.00001141518,0.000004741992,0.9988172,0.0003746085,0.0006528035],"genre_scores_gemma":[0.0001445003,0.00003250766,0.0002023783,0.00004446674,0.000003422291,0.00004171889,0.998844,0.0001889864,0.0004978926],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8131914,"threshold_uncertainty_score":0.6249372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}