{"id":"W6905736831","doi":"10.15468/dl.kjywxm","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); Measure (data warehouse); Confidentiality","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":[0.0009474985,0.001889775,0.001522756,0.004672595,0.0009333543,0.002363956,0.002671758,0.001914318,0.1475707],"category_scores_gemma":[0.005453145,0.000885769,0.001149628,0.009605323,0.0004438347,0.002123233,0.002432232,0.001949906,0.1997245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001587176,"about_ca_system_score_gemma":0.002273806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02413123,"about_ca_topic_score_gemma":0.03841098,"domain_scores_codex":[0.9990539,0.0001236266,0.0001215701,0.0003234638,0.0002150377,0.0001622806],"domain_scores_gemma":[0.9978015,0.0006102832,0.0002114191,0.0005764198,0.0005410849,0.0002593233],"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":[0.00002902239,0.0000113982,0.0004180869,0.0005093287,0.00001503415,0.00001571762,0.00002670679,0.0001422689,0.0001326901,0.0004111215,0.9968124,0.001476234],"study_design_scores_gemma":[0.00006785484,0.000007407646,0.001936636,0.0001826141,0.00001388923,0.00003732694,0.00007813284,0.0001554411,0.0002017641,0.0007327994,0.9965688,0.0000172907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004453202,0.00002404931,0.00004643068,0.00003232558,0.0000113091,0.000004855359,0.9988728,0.0003623279,0.0006013099],"genre_scores_gemma":[0.000163823,0.00003053629,0.0001992527,0.00003927516,0.000002914965,0.00003731891,0.9989634,0.0001463658,0.0004171536],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8524293,"threshold_uncertainty_score":0.4936732,"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."}}