{"id":"W6961931591","doi":"10.15468/dl.rb4swp","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); Identification (biology); 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":[0.0009917208,0.002019857,0.001592971,0.004542858,0.0009953902,0.002473932,0.002939077,0.00203511,0.1507378],"category_scores_gemma":[0.00586654,0.0009263169,0.001223255,0.0093713,0.0004534009,0.00225105,0.002553203,0.00202911,0.2154058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001628544,"about_ca_system_score_gemma":0.002326563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0243271,"about_ca_topic_score_gemma":0.03920396,"domain_scores_codex":[0.9990158,0.0001324682,0.0001234104,0.0003411019,0.0002218172,0.0001653521],"domain_scores_gemma":[0.9977345,0.000630774,0.0002066445,0.0006171577,0.0005490796,0.0002619306],"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":[0.00002914261,0.00001087739,0.0003582024,0.0004912589,0.00001471118,0.00001482676,0.00002463071,0.0001300442,0.0001209635,0.0003825169,0.9970553,0.001367434],"study_design_scores_gemma":[0.00007298269,0.000007775352,0.001811972,0.0001773942,0.00001419227,0.00003716725,0.00007409242,0.0001620375,0.0001983147,0.0007590454,0.9966672,0.0000176793],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004229103,0.00002538414,0.00004790004,0.00003505475,0.00001181272,0.000005145414,0.9987828,0.0004283985,0.0006212223],"genre_scores_gemma":[0.0001499505,0.00002856135,0.0001902877,0.00004002306,0.000002895012,0.00003757313,0.9989879,0.0001572292,0.0004055502],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8492622,"threshold_uncertainty_score":0.5042682,"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."}}