{"id":"W7107942374","doi":"10.15468/dl.ne7ygy","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)","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":[0.000922613,0.001830125,0.001648951,0.005334057,0.001108001,0.002964697,0.002808943,0.001970166,0.1907321],"category_scores_gemma":[0.006713444,0.0009335957,0.001222098,0.01051427,0.0004132562,0.002570938,0.002727525,0.001917326,0.2558126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001716885,"about_ca_system_score_gemma":0.002556061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02389217,"about_ca_topic_score_gemma":0.03886561,"domain_scores_codex":[0.9988674,0.0001378179,0.0001491949,0.0003990248,0.0002526689,0.0001939175],"domain_scores_gemma":[0.9974476,0.0006769779,0.0002372511,0.0006442465,0.0007093041,0.0002847333],"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":[0.00002927955,0.000008930186,0.0004017062,0.0005772259,0.00001406234,0.00001513109,0.00002304423,0.000100161,0.00009809466,0.0003880278,0.9966169,0.001727574],"study_design_scores_gemma":[0.0000532043,0.000006343232,0.001523501,0.0001923083,0.00001240386,0.00003323156,0.00006894722,0.0001209595,0.0001491392,0.0006718788,0.9971529,0.00001501999],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003749819,0.00003162785,0.00004720268,0.00003856044,0.00001245565,0.000004691087,0.9986236,0.0004511144,0.0007532852],"genre_scores_gemma":[0.0001668556,0.00004196036,0.0002144135,0.00005132704,0.000003955573,0.00003881351,0.9987113,0.0001831914,0.0005881923],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8092679,"threshold_uncertainty_score":0.6380625,"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."}}