{"id":"W7106568754","doi":"10.15468/dl.mbfjmb","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); Polygon (computer graphics); 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":[0.0008242708,0.001797862,0.001441043,0.004954895,0.0009941027,0.002656593,0.002685837,0.001957739,0.1609098],"category_scores_gemma":[0.005776359,0.0008922465,0.001100242,0.009868438,0.0004113472,0.002390714,0.002426276,0.001937377,0.2301879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001676802,"about_ca_system_score_gemma":0.002282822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0221638,"about_ca_topic_score_gemma":0.03538838,"domain_scores_codex":[0.9990261,0.0001223481,0.0001256673,0.0003455774,0.0002152349,0.0001651768],"domain_scores_gemma":[0.9977766,0.0005997836,0.0002026683,0.000566155,0.0006054495,0.0002494102],"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":[0.00002636148,0.00001020114,0.0003853967,0.0004843865,0.00001178948,0.00001400832,0.00002184033,0.0001122706,0.00009690069,0.0003614571,0.9968067,0.001668638],"study_design_scores_gemma":[0.00005523276,0.000007101336,0.001668871,0.0001854356,0.00001136942,0.00003590542,0.00007890892,0.0001546001,0.0001737937,0.0007200108,0.9968929,0.00001575873],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004297975,0.00002784429,0.00004634897,0.0000375735,0.00001210964,0.000005177615,0.998651,0.0004089326,0.0007681723],"genre_scores_gemma":[0.0001836643,0.00003657513,0.000226526,0.00004807999,0.00000379798,0.00003935297,0.9987341,0.0001537036,0.0005741898],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8390902,"threshold_uncertainty_score":0.5382969,"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."}}