{"id":"W6887098596","doi":"10.15468/dl.p88adb","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); Data set; 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":[0.0008972612,0.001854555,0.0015097,0.005041722,0.0009750605,0.00271931,0.002640655,0.002019492,0.1694534],"category_scores_gemma":[0.006361364,0.0008906421,0.001224669,0.01067625,0.0004135384,0.002468301,0.002493553,0.002013789,0.2426761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00163463,"about_ca_system_score_gemma":0.002301185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02206654,"about_ca_topic_score_gemma":0.03409384,"domain_scores_codex":[0.9989783,0.000139671,0.0001343454,0.0003494146,0.0002303867,0.0001678737],"domain_scores_gemma":[0.9975326,0.0007165868,0.0002174927,0.000619735,0.0006610989,0.0002525241],"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":[0.00002595843,0.00000950169,0.0003514272,0.000509677,0.00001286785,0.00001403389,0.00002111177,0.0001227687,0.00008855911,0.0003645943,0.9969133,0.001566103],"study_design_scores_gemma":[0.00006028384,0.000006900088,0.001520999,0.0001882027,0.00001234532,0.0000333686,0.00007038156,0.000160069,0.0001608982,0.0008178888,0.9969525,0.00001611281],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003781571,0.00002775782,0.00005015556,0.00003979652,0.00001246086,0.000005274483,0.9986696,0.0004163361,0.0007408565],"genre_scores_gemma":[0.0001738789,0.00004053182,0.0002426407,0.0000501493,0.000004183485,0.00004643824,0.998684,0.0001771918,0.0005809764],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8305466,"threshold_uncertainty_score":0.5668782,"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."}}