{"id":"W6887056223","doi":"10.15468/dl.mzf4x3","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); Alien; 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":[0.00101118,0.001928069,0.001547375,0.005033973,0.001022514,0.002617879,0.002724146,0.002127228,0.1640891],"category_scores_gemma":[0.006132629,0.0008889955,0.001229645,0.009561219,0.0004632224,0.002295271,0.002550198,0.001962668,0.2276277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001571241,"about_ca_system_score_gemma":0.002297904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02234665,"about_ca_topic_score_gemma":0.03504806,"domain_scores_codex":[0.9989919,0.0001427059,0.0001249096,0.0003541743,0.0002174306,0.0001687834],"domain_scores_gemma":[0.9973646,0.0007840405,0.0002327309,0.0006915479,0.0006431174,0.0002840424],"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":[0.00002738449,0.00001172311,0.0004275276,0.0005353174,0.00001397843,0.00001534413,0.00002439041,0.0001290791,0.000109249,0.0003486654,0.9969209,0.001436512],"study_design_scores_gemma":[0.00007229712,0.000009191152,0.002061321,0.0002095055,0.00001473006,0.00003763571,0.000086717,0.0001659927,0.0001816068,0.0007719047,0.9963712,0.00001791675],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004576642,0.00002777484,0.0000438789,0.00004029977,0.00001342738,0.000005752718,0.9988017,0.0003824637,0.0006388553],"genre_scores_gemma":[0.0001793088,0.00003484919,0.0002003427,0.0000500251,0.000004047979,0.00004644395,0.9988477,0.0001475559,0.0004896201],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8359109,"threshold_uncertainty_score":0.5489326,"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."}}