{"id":"W6905737283","doi":"10.15468/dl.f6s2ku","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","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":[0.000915384,0.002107367,0.001544269,0.004844081,0.0009954448,0.002432073,0.002885421,0.002212049,0.124026],"category_scores_gemma":[0.005918717,0.0008449543,0.00125236,0.009023499,0.0004494114,0.002153414,0.002394995,0.0020463,0.19927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001687245,"about_ca_system_score_gemma":0.002439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02481307,"about_ca_topic_score_gemma":0.0403708,"domain_scores_codex":[0.9989251,0.0001412258,0.0001475118,0.0003574339,0.0002544049,0.0001742593],"domain_scores_gemma":[0.9976736,0.000617951,0.0002076702,0.0006432743,0.0005986637,0.0002588736],"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":[0.00003142103,0.00001430362,0.0003854465,0.000490881,0.00001421404,0.00001703032,0.00002329208,0.00014855,0.0001151361,0.0003495478,0.9968591,0.001551081],"study_design_scores_gemma":[0.00008626237,0.0000107082,0.002172272,0.0001962517,0.00001556786,0.00004853082,0.00009412674,0.0002618484,0.0002519438,0.0008732021,0.9959685,0.00002074123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005743684,0.00003154912,0.00005638712,0.00004244122,0.00001362709,0.000006619181,0.9985878,0.0005677848,0.0006363289],"genre_scores_gemma":[0.0001709396,0.00003188508,0.0002265687,0.00004020702,0.000003188416,0.00004038494,0.9989254,0.000130887,0.000430483],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.875974,"threshold_uncertainty_score":0.4149083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01078306371601912,"score_gpt":0.2162517328486523,"score_spread":0.2054686691326332,"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."}}