{"id":"W6887248957","doi":"10.15468/dl.u9qmkh","title":"Occurrence Download","year":2022,"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); The Internet; Set (abstract data type)","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":[0.001149809,0.002001308,0.001665395,0.005380593,0.001066975,0.002820899,0.002963005,0.002086594,0.179405],"category_scores_gemma":[0.006817766,0.0009843206,0.001170402,0.01054399,0.0004748264,0.00245075,0.002707411,0.002098516,0.242295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001714593,"about_ca_system_score_gemma":0.002544814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02268586,"about_ca_topic_score_gemma":0.03628881,"domain_scores_codex":[0.9988487,0.0001588465,0.0001507795,0.0004025417,0.0002545893,0.0001846554],"domain_scores_gemma":[0.9971768,0.0008302141,0.0002595285,0.0007120443,0.000714778,0.0003067053],"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":[0.00002717876,0.000009899952,0.0003307387,0.0005398933,0.00001455021,0.00001416812,0.00002382743,0.0001039357,0.0001076764,0.0003858133,0.9971432,0.001299218],"study_design_scores_gemma":[0.00006493804,0.000006639605,0.001571055,0.0001895321,0.00001393311,0.00003365098,0.00007030536,0.000119758,0.000173644,0.0007373157,0.9970019,0.00001715827],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003079604,0.0000240366,0.00004388699,0.00003310594,0.00001080037,0.000004724473,0.9989058,0.0003390929,0.0006076833],"genre_scores_gemma":[0.0001450702,0.00003325225,0.0001943328,0.00004386443,0.000003388079,0.00004236479,0.9989115,0.0001640143,0.0004622385],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.820595,"threshold_uncertainty_score":0.6001697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}