{"id":"W7103146486","doi":"10.15468/dl.aykb6x","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":"Matching (statistics); Download; Range (aeronautics); Population; Software","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":[0.001087954,0.001733219,0.001608579,0.005252303,0.00100243,0.002696367,0.002812043,0.001970636,0.1938808],"category_scores_gemma":[0.006807345,0.0009357856,0.001077939,0.0103226,0.0004506314,0.002397046,0.002631167,0.001993168,0.2400919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613187,"about_ca_system_score_gemma":0.002345306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02124072,"about_ca_topic_score_gemma":0.03303096,"domain_scores_codex":[0.9989231,0.0001427113,0.0001449277,0.0003666777,0.0002423588,0.0001802585],"domain_scores_gemma":[0.9971655,0.0008053606,0.0002844835,0.0007215255,0.0007006964,0.0003223586],"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":[0.00002547464,0.00000947403,0.000342822,0.0004820796,0.00001291083,0.00001183748,0.00002206712,0.0001006725,0.00009199299,0.0003569639,0.9971454,0.001398327],"study_design_scores_gemma":[0.0000651118,0.000006581316,0.001868101,0.0002052177,0.00001355839,0.00002996038,0.00007419808,0.0001211965,0.0001574141,0.0007161069,0.9967263,0.00001637425],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000309028,0.0000199274,0.00003720284,0.0000305219,0.00001009182,0.000004340571,0.9990125,0.0002830568,0.0005714803],"genre_scores_gemma":[0.0001579697,0.00003115789,0.0001906987,0.00004297497,0.00000358486,0.0000409542,0.9988818,0.0001550202,0.0004959257],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8061192,"threshold_uncertainty_score":0.6485958,"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."}}