{"id":"W6943494210","doi":"10.15468/dl.q9pjde","title":"Occurrence Download","year":2023,"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); Data set; Set (abstract data type)","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":[0.000969611,0.002004023,0.001595614,0.004838542,0.001017282,0.002494004,0.002824343,0.002182602,0.1482639],"category_scores_gemma":[0.005832587,0.0009123607,0.001245134,0.009674697,0.0004445197,0.002193924,0.00256911,0.001975793,0.2102395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638361,"about_ca_system_score_gemma":0.002376261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02375779,"about_ca_topic_score_gemma":0.03657911,"domain_scores_codex":[0.9989629,0.0001370082,0.0001299262,0.0003602267,0.0002388606,0.0001710694],"domain_scores_gemma":[0.9976668,0.0006521574,0.0002172398,0.0006200939,0.0005703847,0.0002732255],"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":[0.00003021675,0.00001174281,0.0004112588,0.0005261406,0.00001572464,0.00001562908,0.0000263147,0.0001358384,0.0001302215,0.0003781035,0.996813,0.001505913],"study_design_scores_gemma":[0.00007581056,0.000008429703,0.002013259,0.0001928923,0.00001514315,0.00003950205,0.00007712001,0.0001804999,0.0002044109,0.000759281,0.9964153,0.00001840625],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004611979,0.00002813955,0.00004817175,0.00003648567,0.00001183399,0.000005283579,0.9987885,0.0004236392,0.0006117439],"genre_scores_gemma":[0.0001715955,0.00003173711,0.0002067624,0.00004460999,0.000003161484,0.00004221233,0.9989189,0.0001551338,0.0004260573],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8517361,"threshold_uncertainty_score":0.495992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}