{"id":"W6887207302","doi":"10.15468/dl.vartaj","title":"Occurrence Download","year":2024,"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); Confidentiality; 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":[0.00087692,0.001876913,0.001498168,0.00498647,0.001021884,0.002781789,0.002762792,0.002008302,0.1848628],"category_scores_gemma":[0.006289967,0.0009133418,0.001124906,0.01056431,0.000412963,0.002587294,0.002574023,0.001973895,0.2491125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001742153,"about_ca_system_score_gemma":0.002398222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0249689,"about_ca_topic_score_gemma":0.04060254,"domain_scores_codex":[0.9990036,0.0001346898,0.0001253997,0.0003372277,0.0002361016,0.0001629817],"domain_scores_gemma":[0.9976711,0.0006529813,0.0002066158,0.0005584372,0.0006502189,0.0002607639],"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":[0.0000244481,0.000008966375,0.0002994088,0.0004539669,0.00001157511,0.0000125602,0.00001957719,0.0001112714,0.00007619944,0.000347931,0.997171,0.001463037],"study_design_scores_gemma":[0.00005798451,0.000006126485,0.001309331,0.0001726946,0.00001120497,0.00003040996,0.00006457661,0.000144902,0.0001410184,0.0007694802,0.9972774,0.0000149893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003377135,0.00002746767,0.00004770757,0.00003913744,0.00001209315,0.000004985162,0.9986571,0.0004027313,0.0007750067],"genre_scores_gemma":[0.0001630297,0.00004054274,0.0002329468,0.00005044976,0.000003931878,0.00004248491,0.998676,0.0001731623,0.0006173319],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8151372,"threshold_uncertainty_score":0.6184276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}