{"id":"W6887198876","doi":"10.15468/dl.u8qupm","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); Alien; Species name","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":[0.001013277,0.001993097,0.001560635,0.004775245,0.001033719,0.002571024,0.00282,0.002120088,0.1670821],"category_scores_gemma":[0.006314706,0.0009160592,0.001282484,0.008773836,0.0004534202,0.002384024,0.002536772,0.002031487,0.229415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547383,"about_ca_system_score_gemma":0.002299902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02244567,"about_ca_topic_score_gemma":0.03517026,"domain_scores_codex":[0.9989904,0.0001443372,0.000119647,0.0003600479,0.0002193665,0.0001661851],"domain_scores_gemma":[0.9974591,0.0007724488,0.0002021844,0.0006675844,0.0006256925,0.0002730452],"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":[0.00002600737,0.0000116148,0.000348013,0.000468047,0.00001292719,0.00001429321,0.00002198411,0.0001174906,0.0001051419,0.0003291776,0.9972014,0.001343767],"study_design_scores_gemma":[0.00007409143,0.000009178815,0.001875245,0.0002007154,0.00001453718,0.00003793633,0.00008359802,0.0001810635,0.0001943679,0.0008216233,0.9964886,0.00001907855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004548018,0.00002812232,0.00005103773,0.00004481245,0.00001463161,0.000006593084,0.9986618,0.0004656645,0.0006818423],"genre_scores_gemma":[0.0001751794,0.00003409497,0.0002250007,0.0000536534,0.000004185512,0.00005112203,0.9987717,0.0001736478,0.0005112781],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8329179,"threshold_uncertainty_score":0.5589453,"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."}}