{"id":"W6924557036","doi":"10.15468/dl.qjrw4g","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); The Internet","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":[0.001062439,0.002049082,0.001598373,0.005852141,0.001000173,0.002640928,0.002805598,0.0019127,0.205338],"category_scores_gemma":[0.006377409,0.0009818774,0.001174002,0.01097411,0.0004335153,0.002578605,0.003053439,0.001969804,0.2856821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001621891,"about_ca_system_score_gemma":0.002617038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0248571,"about_ca_topic_score_gemma":0.04371325,"domain_scores_codex":[0.9988078,0.0001504342,0.0001463412,0.0004059787,0.0002861109,0.0002033793],"domain_scores_gemma":[0.9971892,0.0006962989,0.0002561532,0.0007237588,0.0007792724,0.0003553407],"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":[0.00002464513,0.000007713283,0.0002594562,0.0004488233,0.000011356,0.0000110987,0.00001977531,0.00007513771,0.00009584192,0.0003160234,0.9974561,0.001274051],"study_design_scores_gemma":[0.00005295628,0.000006028268,0.001459151,0.0001579238,0.00001111057,0.00002695665,0.00005657951,0.0000843926,0.0001586818,0.000629979,0.9973407,0.00001541067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002939077,0.00002143202,0.00004119217,0.0000292789,0.00001017145,0.000005159734,0.9987477,0.0003846905,0.0007309816],"genre_scores_gemma":[0.0001345362,0.00003223966,0.0001911765,0.00004598833,0.000003556077,0.00004252905,0.9987645,0.0002014414,0.0005840034],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.794662,"threshold_uncertainty_score":0.686924,"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."}}