{"id":"W6943317501","doi":"10.15468/dl.u6b9em","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); Data collection; Range (aeronautics)","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":[0.001014169,0.001948051,0.001564543,0.005553874,0.0009378292,0.002552229,0.002718308,0.001856615,0.2009561],"category_scores_gemma":[0.006115899,0.0009499771,0.00118504,0.01026017,0.0004317727,0.002406337,0.002878136,0.001876727,0.2688207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563142,"about_ca_system_score_gemma":0.002465662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02284144,"about_ca_topic_score_gemma":0.03982301,"domain_scores_codex":[0.9989042,0.0001392487,0.0001346328,0.0003811259,0.0002544386,0.0001862012],"domain_scores_gemma":[0.9972647,0.0007064476,0.0002538495,0.0007145562,0.0007239112,0.0003366124],"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":[0.00002522807,0.000008225155,0.0003074445,0.0004873702,0.00001324814,0.000011266,0.00001983943,0.00008808594,0.000103945,0.0003112992,0.9972113,0.001412851],"study_design_scores_gemma":[0.00005678043,0.000006845243,0.0016681,0.0001761709,0.0000129093,0.00002898471,0.00005878952,0.00009579052,0.0001672137,0.00063816,0.9970744,0.00001582277],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003243765,0.00002384732,0.00003929993,0.000029786,0.00001085999,0.000004896867,0.9988519,0.0003620789,0.0006449551],"genre_scores_gemma":[0.000137932,0.00003340433,0.0001886266,0.00004292609,0.000003579459,0.00003906363,0.9988617,0.0001686882,0.0005240605],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7990439,"threshold_uncertainty_score":0.6722652,"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."}}