{"id":"W6943471892","doi":"10.15468/dl.sfqyu2","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); State (computer science); Confidentiality","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":[0.0009995064,0.002013697,0.001562084,0.00506503,0.00101495,0.002438881,0.002929367,0.002065301,0.1590599],"category_scores_gemma":[0.005558189,0.0009129559,0.001150336,0.009726716,0.0004682593,0.002284878,0.002516951,0.002060371,0.2188305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00155976,"about_ca_system_score_gemma":0.002214082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02093295,"about_ca_topic_score_gemma":0.03578974,"domain_scores_codex":[0.9990363,0.0001331076,0.0001165472,0.0003372239,0.0002141194,0.0001626929],"domain_scores_gemma":[0.9976854,0.00065248,0.0002230384,0.000619579,0.0005466249,0.0002728486],"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":[0.00002742012,0.00001201274,0.0003644279,0.0005100736,0.00001399164,0.00001452769,0.00002450353,0.0001373552,0.0001172204,0.00037961,0.9969397,0.001459312],"study_design_scores_gemma":[0.00006920462,0.00000780828,0.001766531,0.000180161,0.00001326503,0.0000361645,0.00007302058,0.0001578476,0.0001868914,0.00077375,0.9967179,0.00001732095],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004752208,0.00002706632,0.00005076107,0.00003421748,0.00001288957,0.000005357463,0.9987307,0.000399677,0.0006917532],"genre_scores_gemma":[0.0001634311,0.00003091052,0.0002128447,0.0000419005,0.000003453944,0.00004318845,0.9988819,0.0001568792,0.000465566],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8409401,"threshold_uncertainty_score":0.5321082,"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."}}