{"id":"W6924539309","doi":"10.15468/dl.x2adnv","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); Metadata; 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":[0.001116189,0.001941942,0.001692864,0.005564854,0.001067684,0.002952902,0.002997866,0.002021374,0.1845185],"category_scores_gemma":[0.006716567,0.001017843,0.001184827,0.01107616,0.0004626437,0.002552968,0.002774489,0.002083363,0.2403909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592872,"about_ca_system_score_gemma":0.002434367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02155721,"about_ca_topic_score_gemma":0.0349607,"domain_scores_codex":[0.9988294,0.0001589926,0.0001590988,0.0004055272,0.0002588575,0.0001880736],"domain_scores_gemma":[0.9972218,0.0008015003,0.0002558078,0.0007335139,0.0006825795,0.000304715],"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":[0.00002689504,0.000009606043,0.0003216563,0.000542237,0.0000148474,0.00001480799,0.00002529371,0.0001054642,0.0001049156,0.0004196107,0.9971142,0.001300388],"study_design_scores_gemma":[0.00006022016,0.000006198058,0.001486888,0.0001829277,0.00001354341,0.0000339343,0.00007095594,0.0001115439,0.0001570373,0.0007462437,0.9971138,0.00001664152],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003272489,0.000023772,0.00004885029,0.00003290854,0.00001110836,0.000004819603,0.9988181,0.0003729522,0.0006547079],"genre_scores_gemma":[0.0001467034,0.00003444048,0.000202594,0.00004331742,0.000003318657,0.00004082822,0.9988538,0.0001892204,0.0004858317],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8154815,"threshold_uncertainty_score":0.6172758,"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."}}