{"id":"W6961926957","doi":"10.15468/dl.rqeykh","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); Alien; Range (aeronautics); Confidentiality","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":[0.0009966594,0.001983181,0.001650766,0.005006116,0.0010724,0.002614708,0.002826282,0.002180931,0.1577457],"category_scores_gemma":[0.006121766,0.00092035,0.001336316,0.009767282,0.0004567086,0.002389976,0.00257505,0.002042893,0.2299521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591593,"about_ca_system_score_gemma":0.002396844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0227821,"about_ca_topic_score_gemma":0.03556474,"domain_scores_codex":[0.9989341,0.0001477262,0.0001320896,0.0003752343,0.0002327666,0.0001780935],"domain_scores_gemma":[0.9974039,0.0007674117,0.0002281437,0.0006802296,0.0006339627,0.0002863233],"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":[0.0000310265,0.00001223069,0.0003735436,0.0005740899,0.00001469957,0.00001561288,0.00002338387,0.0001149197,0.0001264704,0.0003401851,0.9969261,0.001447637],"study_design_scores_gemma":[0.00007513611,0.000009918983,0.002102936,0.0002220722,0.00001616136,0.00003982602,0.00008053919,0.0001564384,0.0002102617,0.0007247131,0.9963436,0.00001845132],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004727426,0.00003187078,0.00004317235,0.00004010902,0.00001304843,0.000005949486,0.9987475,0.0004210617,0.0006500293],"genre_scores_gemma":[0.0001613637,0.0000374481,0.0001859238,0.00004988219,0.000003727574,0.00004395149,0.9988896,0.0001487539,0.0004793465],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8422543,"threshold_uncertainty_score":0.527712,"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."}}