{"id":"W6962431115","doi":"10.15468/dl.mnzqmu","title":"Occurrence Download","year":2023,"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); Range (aeronautics); Alien; 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":[0.001037338,0.001871044,0.001532493,0.00497524,0.001001953,0.002475244,0.002781958,0.002099086,0.1541154],"category_scores_gemma":[0.005837711,0.0008769041,0.001180645,0.00975557,0.00045656,0.002189088,0.002477559,0.002024423,0.2173172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001596544,"about_ca_system_score_gemma":0.002389971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02254873,"about_ca_topic_score_gemma":0.03775642,"domain_scores_codex":[0.998948,0.0001490722,0.0001323865,0.0003628199,0.000234388,0.0001732827],"domain_scores_gemma":[0.9973809,0.0007626619,0.0002414754,0.0006927721,0.0006288779,0.0002933048],"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":[0.00002791334,0.00001278566,0.0003936212,0.0004947992,0.00001416342,0.00001430865,0.00002365058,0.0001265457,0.0001194906,0.0003739759,0.9970096,0.001389157],"study_design_scores_gemma":[0.00007057063,0.000008875847,0.002118076,0.0001889982,0.00001423227,0.00003600801,0.00007913461,0.0001441049,0.0001960581,0.0007652918,0.9963604,0.00001822582],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004479715,0.00002497018,0.00004298969,0.00003560433,0.00001189073,0.000005201204,0.9989076,0.0003193191,0.0006076128],"genre_scores_gemma":[0.0001555865,0.00003043563,0.0001845077,0.00004156132,0.000003344114,0.00004124064,0.9989432,0.000125488,0.000474723],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8458846,"threshold_uncertainty_score":0.5155674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}