{"id":"W6887016410","doi":"10.15468/dl.gqk9zj","title":"Occurrence Download","year":2025,"lang":"en","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); Set (abstract data type); Data set; Range (aeronautics)","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":[0.001001286,0.001906063,0.001596396,0.00533902,0.0009072673,0.002598783,0.002740746,0.001910243,0.1699416],"category_scores_gemma":[0.005920404,0.0009058581,0.001153694,0.01004921,0.0004357352,0.002175737,0.002567199,0.001884111,0.2194385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001510568,"about_ca_system_score_gemma":0.002235967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01900008,"about_ca_topic_score_gemma":0.03111919,"domain_scores_codex":[0.9989288,0.0001424508,0.0001398637,0.0003684105,0.0002361259,0.000184218],"domain_scores_gemma":[0.9975725,0.0006622486,0.0002474616,0.0006296465,0.0005884428,0.000299774],"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":[0.00003471323,0.00001117406,0.0003858961,0.0006589387,0.00001793997,0.00001580955,0.00002355944,0.0001211498,0.0001499045,0.0004191412,0.9965946,0.001567246],"study_design_scores_gemma":[0.00007267606,0.000008035508,0.001844767,0.000199333,0.00001541079,0.00003644317,0.00006071982,0.0001201971,0.0002032775,0.0007435984,0.9966788,0.00001671993],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003779451,0.00002769241,0.00003927651,0.00002943701,0.000009801305,0.000004702718,0.998908,0.000351393,0.0005918556],"genre_scores_gemma":[0.0001563019,0.00003420223,0.0001724511,0.00004496008,0.000003136381,0.0000368376,0.9989921,0.000147489,0.0004124738],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8300583,"threshold_uncertainty_score":0.5685115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}