{"id":"W6886999564","doi":"10.15468/dl.nuexwv","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); Confidentiality; Order (exchange)","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":[0.001100389,0.00202931,0.001643708,0.004830263,0.001074721,0.002579011,0.002995703,0.002151124,0.1702847],"category_scores_gemma":[0.006699099,0.0009915971,0.0012356,0.009348618,0.0004614626,0.002485784,0.002786625,0.002121708,0.2232363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001680012,"about_ca_system_score_gemma":0.002451523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02184361,"about_ca_topic_score_gemma":0.03542742,"domain_scores_codex":[0.9988837,0.0001467683,0.0001438999,0.0003902886,0.0002515603,0.0001838507],"domain_scores_gemma":[0.9973975,0.0007426055,0.0002291179,0.0006951305,0.0006379675,0.0002975645],"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":[0.00002982056,0.00001076457,0.0003367041,0.0005094712,0.00001401342,0.00001376032,0.00002384876,0.0001127502,0.0001134234,0.0003773044,0.9970769,0.001381214],"study_design_scores_gemma":[0.00007643609,0.000007792341,0.001661567,0.0001950571,0.00001419108,0.00003560777,0.00007137671,0.0001485693,0.0001956909,0.0007831196,0.9967931,0.00001738055],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000369953,0.000024215,0.00004798893,0.00003534488,0.00001141536,0.000005369421,0.9988124,0.0004076345,0.0006185662],"genre_scores_gemma":[0.0001459341,0.00003030624,0.000205887,0.00004377988,0.000003049116,0.00004459341,0.9989238,0.0001716784,0.0004309946],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8297153,"threshold_uncertainty_score":0.569659,"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."}}