{"id":"W7109106904","doi":"10.15468/dl.urhf63","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); Data set; Set (abstract data type)","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":[0.0008745677,0.001861105,0.001466046,0.004403611,0.0008797756,0.002365041,0.002591588,0.001848186,0.1737312],"category_scores_gemma":[0.005754334,0.0008570069,0.001132931,0.008478438,0.0003921115,0.002289667,0.002431398,0.001789628,0.2174557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001504799,"about_ca_system_score_gemma":0.002130287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02408131,"about_ca_topic_score_gemma":0.03629785,"domain_scores_codex":[0.9991218,0.0001101214,0.0001075286,0.0003135709,0.0002028775,0.0001441026],"domain_scores_gemma":[0.9978544,0.0006149305,0.000198719,0.000550354,0.0005286074,0.0002528249],"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":[0.00002787755,0.00001051713,0.0003858694,0.0004804617,0.00001466324,0.00001392663,0.00002216554,0.0001309433,0.0001040329,0.0003271197,0.9969686,0.00151387],"study_design_scores_gemma":[0.00008281658,0.000009290159,0.002199631,0.000193835,0.00001576257,0.00003762927,0.0000780358,0.0002141894,0.0002065314,0.0008231399,0.996121,0.00001818009],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004222969,0.00002418294,0.00005058017,0.00003603196,0.0000115228,0.000005470394,0.9986911,0.0005225423,0.0006163189],"genre_scores_gemma":[0.0001830476,0.00002999589,0.0002157269,0.000047157,0.000003541132,0.00004077468,0.9988214,0.0001873497,0.0004708986],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8262688,"threshold_uncertainty_score":0.5811887,"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."}}