{"id":"W6905982335","doi":"10.15468/dl.vkz834","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":[0.001002795,0.00206946,0.001607682,0.004924505,0.001049104,0.002636099,0.002775815,0.002208943,0.1602398],"category_scores_gemma":[0.006115722,0.0008967454,0.0012987,0.00916848,0.0004543019,0.002398428,0.002601705,0.002014234,0.2323875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001533529,"about_ca_system_score_gemma":0.002314855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02105214,"about_ca_topic_score_gemma":0.03309872,"domain_scores_codex":[0.9989393,0.0001477928,0.0001334781,0.0003764681,0.0002272798,0.0001756233],"domain_scores_gemma":[0.9973727,0.0007747869,0.0002260011,0.0006993592,0.0006416089,0.0002854822],"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":[0.00002949071,0.00001245192,0.0003873283,0.000526787,0.00001368052,0.00001558875,0.00002239922,0.0001222134,0.0001138145,0.0003182532,0.9970294,0.001408579],"study_design_scores_gemma":[0.00008128674,0.0000107317,0.002041469,0.0002222749,0.00001593137,0.00004146126,0.00008472717,0.0001864744,0.0002097406,0.0007951707,0.996291,0.00001973741],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000464549,0.00002895864,0.00004507955,0.00004180624,0.00001435738,0.000006195173,0.9987727,0.000431422,0.0006129214],"genre_scores_gemma":[0.0001627703,0.0000344713,0.0001992869,0.00004986646,0.000004057628,0.00004638271,0.9988844,0.000149625,0.0004691853],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8397602,"threshold_uncertainty_score":0.5360554,"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."}}