{"id":"W6887127088","doi":"10.15468/dl.rfy3rc","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); Set (abstract data type); Data set","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":[0.001169453,0.002004235,0.001687499,0.005313168,0.001089963,0.002958201,0.003070535,0.00204179,0.1870686],"category_scores_gemma":[0.006950638,0.001026945,0.001193127,0.01078859,0.0004785089,0.00249501,0.002824369,0.002138163,0.2443519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001637109,"about_ca_system_score_gemma":0.002553441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02190681,"about_ca_topic_score_gemma":0.0353194,"domain_scores_codex":[0.9988417,0.0001538904,0.0001533531,0.0004012666,0.0002623463,0.0001875428],"domain_scores_gemma":[0.9971747,0.0008274388,0.0002542802,0.0007484825,0.0006758301,0.0003192112],"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":[0.00002627831,0.00001014946,0.0003283437,0.0005203462,0.00001408717,0.00001431106,0.00002499443,0.0001052874,0.0001065622,0.0004055149,0.9971872,0.001256944],"study_design_scores_gemma":[0.00006359745,0.000006462659,0.001526824,0.0001875771,0.00001355786,0.00003355286,0.00007324386,0.0001189575,0.0001801054,0.0007937223,0.9969853,0.00001705569],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003297748,0.00002161465,0.00004640602,0.00003322843,0.00001106725,0.000005006185,0.9988406,0.0003602952,0.0006487701],"genre_scores_gemma":[0.0001460884,0.00003167776,0.0001972811,0.00004316581,0.000003221331,0.00004376102,0.9988772,0.00018284,0.0004746372],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8129314,"threshold_uncertainty_score":0.6258067,"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."}}