{"id":"W6906060491","doi":"10.15468/dl.usbk7w","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":"Download; Matching (statistics); Range (aeronautics); Vulnerability (computing); 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":[0.001006181,0.001936065,0.001589134,0.004939187,0.0009652923,0.002503358,0.002836657,0.002030846,0.1604074],"category_scores_gemma":[0.005786262,0.0008880016,0.001133898,0.009405114,0.000455399,0.002299279,0.002512516,0.002003113,0.219284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001539508,"about_ca_system_score_gemma":0.00220265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01938914,"about_ca_topic_score_gemma":0.03234727,"domain_scores_codex":[0.9990078,0.0001371461,0.000125716,0.0003497805,0.0002109436,0.0001687245],"domain_scores_gemma":[0.9976452,0.0006678549,0.000231087,0.0006151047,0.0005644793,0.0002762915],"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":[0.00002873789,0.00001156324,0.0003844396,0.0005435534,0.00001519873,0.00001410855,0.00002365489,0.0001383288,0.0001190335,0.0003787797,0.9968736,0.001468993],"study_design_scores_gemma":[0.0000723473,0.000007956659,0.001750942,0.0001891892,0.00001415643,0.00003508126,0.0000729701,0.0001597802,0.0001820176,0.0007909032,0.9967071,0.00001755896],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004309677,0.0000271833,0.00004645854,0.00003485482,0.00001256615,0.000005198846,0.9988405,0.0003629035,0.0006272905],"genre_scores_gemma":[0.0001708026,0.00003280654,0.0002035702,0.00004367613,0.00000362834,0.00004344984,0.9989001,0.0001469881,0.0004549528],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8395926,"threshold_uncertainty_score":0.5366162,"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."}}