{"id":"W6906041224","doi":"10.15468/dl.xczbqm","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); Alien; 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":[0.0010683,0.001911315,0.001585617,0.004779092,0.0009995183,0.002544207,0.002834777,0.00208469,0.1581723],"category_scores_gemma":[0.006031358,0.0009259652,0.001238872,0.009462851,0.0004535001,0.002296254,0.002470703,0.00208403,0.2164454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001589954,"about_ca_system_score_gemma":0.00233363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02128292,"about_ca_topic_score_gemma":0.03410786,"domain_scores_codex":[0.9989583,0.0001452145,0.0001283877,0.0003637232,0.0002313208,0.0001731139],"domain_scores_gemma":[0.9974738,0.0007512635,0.0002240428,0.0006676312,0.0006029228,0.0002803693],"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":[0.00002923106,0.0000119918,0.0003727889,0.0005266339,0.0000146666,0.00001443591,0.00002224838,0.0001287821,0.0001299025,0.0003803187,0.9969494,0.001419698],"study_design_scores_gemma":[0.00007141582,0.000008708976,0.001911668,0.0001951887,0.00001485907,0.00003539468,0.00007045715,0.000151305,0.0002126131,0.000775452,0.9965348,0.00001809935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000411257,0.00002544141,0.00004392889,0.00003437865,0.00001156314,0.00000533523,0.9988692,0.00036157,0.0006073001],"genre_scores_gemma":[0.0001562993,0.00003198872,0.0001898416,0.00004343492,0.000003201718,0.00004318039,0.9989383,0.0001419887,0.0004518551],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8418278,"threshold_uncertainty_score":0.529139,"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."}}