{"id":"W6943826343","doi":"10.15468/dl.qtkwrs","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":[0.001006724,0.001929237,0.001551303,0.004874779,0.001037591,0.002492248,0.002766972,0.002135708,0.1525328],"category_scores_gemma":[0.006168276,0.0009015915,0.001289414,0.009448532,0.0004604356,0.002331275,0.002587934,0.00201813,0.2155426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001585401,"about_ca_system_score_gemma":0.002425278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02281712,"about_ca_topic_score_gemma":0.03676444,"domain_scores_codex":[0.9989057,0.0001523899,0.000136928,0.0003792171,0.0002452462,0.0001805022],"domain_scores_gemma":[0.9973124,0.0007839906,0.0002358749,0.0007235055,0.000655483,0.0002887564],"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":[0.0000303311,0.000012556,0.0003966331,0.0005335678,0.00001401356,0.00001559026,0.00002481114,0.0001239645,0.0001192421,0.000359608,0.996887,0.001482486],"study_design_scores_gemma":[0.00007059544,0.000009641483,0.002052487,0.0002083392,0.00001452217,0.00004029233,0.00008354579,0.0001589961,0.0002000401,0.0007501952,0.9963931,0.0000181964],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004938987,0.00002972953,0.00004548581,0.0000410807,0.00001356479,0.000006104616,0.9987521,0.0004104722,0.0006520573],"genre_scores_gemma":[0.0001680754,0.00003416764,0.0001983219,0.00004794075,0.000003567974,0.00004416311,0.9988788,0.0001400734,0.0004847772],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8474672,"threshold_uncertainty_score":0.510273,"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."}}