{"id":"W7104252559","doi":"10.15468/dl.cdfn2a","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); Listing (finance); 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":[0.0009044765,0.001802558,0.001502565,0.005164378,0.001003627,0.002845804,0.002744081,0.001824444,0.217833],"category_scores_gemma":[0.006251586,0.0009667875,0.00104175,0.009980832,0.00043216,0.002461597,0.002797012,0.001894098,0.2737693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001838098,"about_ca_system_score_gemma":0.00245003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02502979,"about_ca_topic_score_gemma":0.03989,"domain_scores_codex":[0.9991265,0.0001047507,0.0001060931,0.000297262,0.0002067978,0.0001586612],"domain_scores_gemma":[0.9977696,0.0005913666,0.0002082263,0.0005547582,0.0006060377,0.0002699867],"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":[0.00002251009,0.000007887148,0.0002977955,0.0004857667,0.00001059199,0.00001209214,0.00002095367,0.00008301166,0.00007666444,0.0003797419,0.9970734,0.001529749],"study_design_scores_gemma":[0.00004876326,0.000005039974,0.00134062,0.0001879979,0.00001005442,0.00002654747,0.00006175762,0.00009989895,0.0001400189,0.0007191079,0.9973468,0.00001344443],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002685013,0.00002112608,0.00004119307,0.00003173848,0.000009599636,0.000004929523,0.9986124,0.0003927884,0.0008593102],"genre_scores_gemma":[0.0001751751,0.00003972119,0.000246159,0.00005456682,0.000003856067,0.00004809997,0.9985071,0.0002289523,0.0006963327],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.782167,"threshold_uncertainty_score":0.728724,"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."}}