{"id":"W6943530805","doi":"10.15468/dl.8dctpd","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); Real world data","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":[0.0009340015,0.001947168,0.00161256,0.005492972,0.0009811452,0.002583571,0.002683733,0.001888215,0.1676778],"category_scores_gemma":[0.005554159,0.0008997632,0.00119311,0.01076644,0.0004453956,0.002174145,0.002779283,0.001892624,0.2300113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001540919,"about_ca_system_score_gemma":0.002390413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02299576,"about_ca_topic_score_gemma":0.03813336,"domain_scores_codex":[0.9989504,0.0001332045,0.0001363264,0.0003522299,0.0002404261,0.0001873619],"domain_scores_gemma":[0.9975997,0.0006193244,0.0002304152,0.0006400405,0.0006140867,0.0002963905],"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":[0.00003331106,0.00001072231,0.0003942417,0.000589783,0.00001649211,0.00001593623,0.00002553782,0.0001163309,0.0001373773,0.0003898934,0.9966676,0.001602867],"study_design_scores_gemma":[0.00006682499,0.000007593585,0.001891013,0.0001901707,0.00001424342,0.00003657421,0.00006634986,0.0001157301,0.0001939679,0.0006879879,0.9967128,0.00001681959],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003963369,0.00002674167,0.00003872769,0.00002884474,0.00001029002,0.000004840733,0.998861,0.0003613705,0.0006286706],"genre_scores_gemma":[0.0001470038,0.00003351391,0.0001699417,0.00004079243,0.000003180409,0.00003582372,0.9989895,0.0001469312,0.0004332238],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8323222,"threshold_uncertainty_score":0.5609382,"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."}}