{"id":"W6887140116","doi":"10.15468/dl.s6ynad","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Download; Set (abstract data type); Identification (biology)","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":[0.0009027107,0.002020358,0.001634984,0.005325323,0.001013076,0.00263737,0.002732526,0.001976862,0.1699746],"category_scores_gemma":[0.005935125,0.0009409119,0.001158761,0.01051018,0.000429471,0.002415899,0.002494546,0.001886604,0.2268271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001610682,"about_ca_system_score_gemma":0.002332579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0208332,"about_ca_topic_score_gemma":0.03528353,"domain_scores_codex":[0.9989231,0.0001447984,0.0001420036,0.0003866797,0.0002267868,0.0001766675],"domain_scores_gemma":[0.9976072,0.0006812295,0.0002350682,0.000586149,0.000611758,0.0002785051],"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":[0.00003218218,0.00001027979,0.0003601061,0.0005855099,0.00001452071,0.00001499189,0.00002035377,0.0001144449,0.0001130812,0.0003921526,0.9969355,0.001407017],"study_design_scores_gemma":[0.0000712748,0.000008755173,0.001727378,0.0001898895,0.00001429309,0.00003686906,0.00005795407,0.0001246352,0.0001636278,0.000761569,0.9968262,0.00001762932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003746897,0.00002986887,0.00003728357,0.00003142449,0.00001093952,0.000004443411,0.9988953,0.0002937212,0.0006595399],"genre_scores_gemma":[0.0001490085,0.00003838122,0.0001734116,0.00004612032,0.00000357616,0.00003844874,0.998899,0.0001321403,0.000520018],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8300254,"threshold_uncertainty_score":0.5686216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}