{"id":"W6887355402","doi":"10.15468/dl.yke856","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; Column (typography)","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":[0.0008931712,0.002074114,0.001699066,0.005136526,0.001156205,0.002791021,0.002955765,0.002276972,0.1633657],"category_scores_gemma":[0.005797649,0.0009670675,0.001488005,0.009509132,0.0004514294,0.002556577,0.002710137,0.002112619,0.243435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00158347,"about_ca_system_score_gemma":0.002426639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01990876,"about_ca_topic_score_gemma":0.03251971,"domain_scores_codex":[0.9989422,0.0001385281,0.0001371026,0.0003876611,0.000215256,0.0001792041],"domain_scores_gemma":[0.9977659,0.0006086747,0.0001876985,0.0006037116,0.0005845244,0.0002495441],"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":[0.00003147557,0.00001228585,0.000398271,0.0006565132,0.00001644397,0.00001754088,0.00002443335,0.0001210356,0.0001313198,0.0003430888,0.9965469,0.001700555],"study_design_scores_gemma":[0.00007061024,0.000009309204,0.001744729,0.0002175571,0.00001662255,0.00004473859,0.00007427563,0.0001850644,0.0002058124,0.0007598672,0.9966535,0.00001803281],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005175494,0.00004197835,0.0000547194,0.00004385056,0.00001622418,0.000007115399,0.9984614,0.0005518732,0.0007711229],"genre_scores_gemma":[0.0001640045,0.00004220195,0.0002190253,0.00005644935,0.000004157512,0.00004562292,0.9987979,0.0001699051,0.0005006327],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8366343,"threshold_uncertainty_score":0.5465128,"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."}}