{"id":"W6905972404","doi":"10.15468/dl.upmnzu","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; Set (abstract data type)","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":[0.0009551793,0.001896134,0.001511909,0.004619753,0.0009413312,0.002386627,0.002731395,0.001986978,0.1513758],"category_scores_gemma":[0.005505294,0.0009376286,0.001173966,0.00935917,0.0004317642,0.002126177,0.002444136,0.001965474,0.200834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001564922,"about_ca_system_score_gemma":0.002255612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02335645,"about_ca_topic_score_gemma":0.03700905,"domain_scores_codex":[0.9990636,0.0001214775,0.0001160425,0.0003282886,0.0002136857,0.0001570602],"domain_scores_gemma":[0.9978029,0.0006288021,0.0002061276,0.0005850999,0.0005186744,0.0002582846],"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":[0.00002892774,0.00001120279,0.0004121816,0.0005029994,0.00001578419,0.00001452362,0.00002491127,0.0001406214,0.0001302438,0.0003892815,0.9969025,0.001426827],"study_design_scores_gemma":[0.00007665418,0.00000807209,0.002072134,0.0001826893,0.00001573355,0.00003783416,0.00007376901,0.0001756877,0.0002123422,0.0007778928,0.9963489,0.00001828401],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000431217,0.0000235624,0.00004725678,0.00003233355,0.00001089961,0.000004853033,0.9988457,0.0004046243,0.000587714],"genre_scores_gemma":[0.0001638215,0.00002923903,0.0002002683,0.00004153647,0.000002922616,0.00003891169,0.998947,0.0001620214,0.0004142322],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8486242,"threshold_uncertainty_score":0.5064024,"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."}}