{"id":"W6905644677","doi":"10.15468/dl.m9972m","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; State (computer science)","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":[0.0009889308,0.001964341,0.001566478,0.004718522,0.001022412,0.002524089,0.002744269,0.002132886,0.1563428],"category_scores_gemma":[0.006111425,0.0009095845,0.001290677,0.009010877,0.0004453143,0.00242594,0.002567516,0.001987388,0.2170005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001531611,"about_ca_system_score_gemma":0.002262331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02192877,"about_ca_topic_score_gemma":0.0343167,"domain_scores_codex":[0.9989638,0.0001443986,0.0001310283,0.0003683434,0.0002235984,0.0001687409],"domain_scores_gemma":[0.9974119,0.0007610338,0.0002240062,0.0007083404,0.0006076759,0.0002870595],"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":[0.00002962472,0.00001244297,0.0003702483,0.0005207151,0.00001420858,0.00001522503,0.00002274599,0.0001263794,0.0001151456,0.0003335996,0.9970162,0.001423458],"study_design_scores_gemma":[0.00008018037,0.00001019645,0.002086011,0.0002029064,0.0000152503,0.00004091223,0.00008178674,0.0001869238,0.0002031563,0.0007741184,0.9962997,0.00001884943],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004916069,0.00002813055,0.00004724415,0.00004332412,0.00001434356,0.00000634931,0.9987369,0.0004527913,0.0006216886],"genre_scores_gemma":[0.0001663807,0.00003375323,0.0001984465,0.00004961489,0.000003921682,0.00004557471,0.998885,0.0001493017,0.0004680049],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8436572,"threshold_uncertainty_score":0.5230188,"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."}}