{"id":"W6924471556","doi":"10.15468/dl.n1uztd","title":"Occurrence Download","year":2017,"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); Data set; Confidentiality","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":[0.0009365053,0.002008395,0.001539107,0.005282907,0.0009338657,0.002444637,0.002930053,0.002060046,0.128501],"category_scores_gemma":[0.005564134,0.000859732,0.001140544,0.01034227,0.0004632065,0.002300069,0.002525596,0.002025025,0.1887553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001580544,"about_ca_system_score_gemma":0.002357532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0203856,"about_ca_topic_score_gemma":0.03543148,"domain_scores_codex":[0.9989993,0.0001348838,0.0001301636,0.0003368331,0.0002276785,0.0001711047],"domain_scores_gemma":[0.9977227,0.0006145697,0.0002274099,0.0006074776,0.0005603656,0.0002675547],"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":[0.00002887099,0.00001252769,0.000462164,0.0005379958,0.00001675284,0.00001681313,0.00002510786,0.0001573451,0.0001193426,0.0004044197,0.9966578,0.001560854],"study_design_scores_gemma":[0.00007307981,0.000008233374,0.001955142,0.0001946993,0.00001480342,0.00004080146,0.00007837501,0.0001839077,0.0001847108,0.0007405706,0.9965089,0.00001672782],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005345115,0.00003306108,0.00004681098,0.00003514567,0.00001295976,0.000005231781,0.9988697,0.000349018,0.0005945149],"genre_scores_gemma":[0.0001553409,0.00003390746,0.0001705891,0.00003474043,0.00000314399,0.00003283436,0.9990892,0.0001071172,0.0003731778],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.871499,"threshold_uncertainty_score":0.4298787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}