{"id":"W7104832211","doi":"10.15468/dl.msxk6d","title":"Occurrence Download","year":2025,"lang":"","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); Order (exchange)","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":[0.0009277323,0.001713224,0.001494537,0.005249281,0.000930484,0.002466948,0.002576498,0.001856189,0.1650785],"category_scores_gemma":[0.005823675,0.000817999,0.001061792,0.01043863,0.0004214321,0.002114041,0.002442808,0.00175052,0.2063654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001665102,"about_ca_system_score_gemma":0.002603754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02958242,"about_ca_topic_score_gemma":0.04721414,"domain_scores_codex":[0.9989668,0.0001266321,0.0001379883,0.0003440739,0.0002395197,0.0001850046],"domain_scores_gemma":[0.9975713,0.000635207,0.0002494433,0.0005895722,0.0006468263,0.0003076394],"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":[0.00002865154,0.00001002824,0.00040052,0.0005410171,0.00001480968,0.00001396875,0.00002110342,0.0001064744,0.0001148068,0.0003618259,0.9970061,0.001380624],"study_design_scores_gemma":[0.0000672368,0.000007421276,0.00229696,0.0001979959,0.00001446761,0.00003267713,0.0000687093,0.0001206047,0.0001814118,0.0006139167,0.9963822,0.00001644531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003561113,0.00002220062,0.00003203032,0.00002732403,0.000009440546,0.000004292104,0.9990286,0.0002773037,0.0005632769],"genre_scores_gemma":[0.0001529238,0.00002929428,0.0001475948,0.00003916282,0.000003188699,0.00003231929,0.999054,0.000110248,0.0004313102],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8349215,"threshold_uncertainty_score":0.5522425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}