{"id":"W6905979295","doi":"10.15468/dl.ysgqzu","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":[0.001045384,0.001906131,0.0015798,0.005288458,0.0009385743,0.002633974,0.002725117,0.002080887,0.1606796],"category_scores_gemma":[0.006209261,0.0008853568,0.001220089,0.01019545,0.0004577852,0.002224572,0.002527626,0.001938286,0.2259259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001566535,"about_ca_system_score_gemma":0.002356783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0205733,"about_ca_topic_score_gemma":0.03240699,"domain_scores_codex":[0.9989026,0.0001532685,0.0001462013,0.0003794944,0.0002351991,0.0001833038],"domain_scores_gemma":[0.9972847,0.0008008298,0.0002647814,0.0007001308,0.0006507097,0.000298971],"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":[0.00002943089,0.00001124428,0.0003892582,0.0005675899,0.00001564825,0.00001465231,0.00002230142,0.0001209216,0.0001121015,0.0003546086,0.9969931,0.001369137],"study_design_scores_gemma":[0.0000773385,0.000009162334,0.002035693,0.00021403,0.00001583864,0.00003788306,0.00007514429,0.0001405597,0.0001878864,0.000767037,0.9964216,0.00001779378],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000361192,0.0000250669,0.00003523327,0.00003245147,0.0000110986,0.000004728594,0.9990605,0.0002829697,0.0005118334],"genre_scores_gemma":[0.000150505,0.00003345051,0.0001654224,0.00004362926,0.000003698083,0.00003968094,0.9990089,0.0001195273,0.0004351317],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8393204,"threshold_uncertainty_score":0.5375268,"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."}}