{"id":"W6905653287","doi":"10.15468/dl.m42duc","title":"Occurrence Download","year":2024,"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","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":[0.0009304867,0.00192131,0.001592258,0.005348936,0.0009834499,0.002769156,0.002786209,0.001939561,0.1772081],"category_scores_gemma":[0.006276594,0.0009460872,0.001227196,0.01083206,0.0004420293,0.002466956,0.002639367,0.001987975,0.2524057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001608574,"about_ca_system_score_gemma":0.002461859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02178538,"about_ca_topic_score_gemma":0.03500289,"domain_scores_codex":[0.9989585,0.0001352658,0.0001434445,0.0003705917,0.0002244293,0.0001676676],"domain_scores_gemma":[0.9975737,0.000697447,0.000217169,0.0006370909,0.0006117555,0.0002628795],"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":[0.00002670875,0.00001021292,0.000361998,0.0006101591,0.00001415857,0.00001512818,0.00002540733,0.0001160752,0.0001036793,0.0003902955,0.9966785,0.001647575],"study_design_scores_gemma":[0.00005503819,0.000006408384,0.001426879,0.0001886366,0.00001270834,0.00003430149,0.00007087542,0.0001225526,0.0001582622,0.0007079456,0.9972016,0.00001495666],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003521931,0.00002830871,0.0000465271,0.00003333924,0.00001124345,0.000005231544,0.9987769,0.0003802256,0.0006830613],"genre_scores_gemma":[0.0001484607,0.00004227863,0.0002232908,0.00004550991,0.000003459137,0.00004410703,0.9987802,0.0001661237,0.0005466543],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8227919,"threshold_uncertainty_score":0.5928202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}