{"id":"W6905856231","doi":"10.15468/dl.qnv2b5","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); Alien; The Internet","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":[0.0009814836,0.001970869,0.001566211,0.004831684,0.001072678,0.002639108,0.002804485,0.002171706,0.1669258],"category_scores_gemma":[0.006257528,0.0008981815,0.001316136,0.008788371,0.000451038,0.002528877,0.00262436,0.002053862,0.2303638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001566701,"about_ca_system_score_gemma":0.002315077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02207609,"about_ca_topic_score_gemma":0.03528829,"domain_scores_codex":[0.9989625,0.0001480764,0.0001246025,0.0003729215,0.000221038,0.0001709355],"domain_scores_gemma":[0.9974104,0.0007681196,0.0002133785,0.0006905002,0.0006419967,0.000275686],"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":[0.00002756007,0.00001147647,0.0003847466,0.0004875834,0.00001351774,0.00001500089,0.00002220814,0.0001219741,0.0001053112,0.0003354004,0.9970841,0.001391043],"study_design_scores_gemma":[0.00007097075,0.000009361508,0.001915534,0.0002011566,0.00001465637,0.00003823141,0.00008282854,0.0001806983,0.0001877854,0.000827567,0.9964521,0.00001906325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004611387,0.00002914593,0.00004896924,0.00004541019,0.00001514179,0.000006314609,0.9987049,0.0004463567,0.0006576943],"genre_scores_gemma":[0.0001764244,0.00003511024,0.0002215643,0.00005512995,0.000004487522,0.00004889369,0.9987698,0.0001638517,0.0005246388],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8330742,"threshold_uncertainty_score":0.5584223,"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."}}