{"id":"W7106326101","doi":"10.15468/dl.vrmcv8","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); Data set; Set (abstract data type)","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":[0.0008846438,0.001621709,0.001392845,0.004906567,0.0008782855,0.002289662,0.002446338,0.001628647,0.1498071],"category_scores_gemma":[0.005137705,0.0007691676,0.001007649,0.01030285,0.0003968683,0.002006957,0.002193332,0.001729073,0.1975299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001667725,"about_ca_system_score_gemma":0.002749343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03556618,"about_ca_topic_score_gemma":0.05948718,"domain_scores_codex":[0.9990621,0.0001178128,0.000110612,0.0003172325,0.0002243199,0.0001679175],"domain_scores_gemma":[0.9976666,0.0005591283,0.0002335177,0.0005970793,0.0006501416,0.0002936152],"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":[0.00002494461,0.000008852016,0.0004086947,0.0004139057,0.00001375224,0.00001176311,0.00001996001,0.0001251289,0.00009776183,0.0003619792,0.9970515,0.001461705],"study_design_scores_gemma":[0.0000571911,0.000007022302,0.002375182,0.0001768277,0.00001336184,0.00002864975,0.00007390505,0.0001439446,0.0001817656,0.0007263742,0.9961987,0.00001709791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003614921,0.00002032113,0.00003614938,0.00002560824,0.000009511925,0.000004032911,0.9990165,0.0002847985,0.0005667717],"genre_scores_gemma":[0.0001641064,0.00002718883,0.0001752473,0.00003523654,0.000003079642,0.00003079456,0.9989703,0.0001122654,0.0004817486],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8501929,"threshold_uncertainty_score":0.5011547,"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."}}