{"id":"W6943342224","doi":"10.15468/dl.uxwb9n","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":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0009246449,0.002028677,0.00153934,0.004804412,0.0009585315,0.002512732,0.00263577,0.001933942,0.1638781],"category_scores_gemma":[0.006158619,0.0008826551,0.001209669,0.009645734,0.0004322508,0.002191382,0.002490159,0.001798906,0.2232694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00146609,"about_ca_system_score_gemma":0.002226812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02006586,"about_ca_topic_score_gemma":0.03227606,"domain_scores_codex":[0.9989607,0.0001434418,0.0001323375,0.0003798063,0.0002109615,0.0001727157],"domain_scores_gemma":[0.9975733,0.000708404,0.0002320542,0.0006171712,0.0006019459,0.0002671439],"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":[0.0000322693,0.00001111253,0.0004137779,0.0005451243,0.0000146452,0.0000139716,0.00002134516,0.0001305891,0.0001149897,0.000348788,0.9968874,0.001466034],"study_design_scores_gemma":[0.00007694124,0.00001053278,0.001944523,0.0001977586,0.00001589703,0.00003601019,0.0000671735,0.0001654156,0.0001929503,0.0008179066,0.9964557,0.00001911881],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004426549,0.00002672244,0.00004044345,0.00003372912,0.00001230487,0.000004941618,0.9988521,0.0003794019,0.0006061192],"genre_scores_gemma":[0.000166993,0.00003471973,0.0001918887,0.0000469393,0.000003899204,0.00004318077,0.9988701,0.0001558213,0.0004865056],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8361219,"threshold_uncertainty_score":0.5482269,"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."}}