{"id":"W7108680501","doi":"10.15468/dl.qtp39t","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","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":[0.001130967,0.001780848,0.00160543,0.004934458,0.001065819,0.002722966,0.002916589,0.002094296,0.1776466],"category_scores_gemma":[0.007058355,0.0009333249,0.001104946,0.009450403,0.0004720766,0.00250767,0.00259315,0.002095264,0.2381386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001713404,"about_ca_system_score_gemma":0.002494214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02338356,"about_ca_topic_score_gemma":0.03728648,"domain_scores_codex":[0.9988833,0.000148776,0.0001438667,0.0003913714,0.0002510969,0.0001815362],"domain_scores_gemma":[0.9970455,0.0008486013,0.0002809745,0.0007663487,0.0007294358,0.0003292448],"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":[0.00002633841,0.00001009129,0.0003481044,0.0004690346,0.00001312032,0.00001236524,0.00002234681,0.0001048081,0.00009598652,0.000377378,0.9972039,0.00131661],"study_design_scores_gemma":[0.00006485166,0.000006873431,0.001792046,0.0001934136,0.00001354762,0.00003057973,0.00007198998,0.0001389612,0.0001742183,0.0007974164,0.9966989,0.0000170695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000324519,0.00001973753,0.00004139546,0.00003205658,0.00001033188,0.000004599214,0.9989545,0.0003162046,0.0005886214],"genre_scores_gemma":[0.0001475911,0.00002823312,0.0001933405,0.00004377563,0.00000335412,0.00003940444,0.9989163,0.0001493622,0.000478677],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8223534,"threshold_uncertainty_score":0.5942872,"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."}}