{"id":"W6924553748","doi":"10.15468/dl.qzv47j","title":"Occurrence Download","year":2023,"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); 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":[0.0009252072,0.002038522,0.001566168,0.004471894,0.0009944129,0.002367495,0.002822904,0.002150596,0.1388181],"category_scores_gemma":[0.005339489,0.0009059237,0.001279019,0.009097314,0.0004469167,0.002140368,0.002511841,0.001998418,0.2077852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590712,"about_ca_system_score_gemma":0.002291522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0236914,"about_ca_topic_score_gemma":0.03837216,"domain_scores_codex":[0.9990175,0.0001313706,0.0001222196,0.0003383282,0.0002253922,0.0001652151],"domain_scores_gemma":[0.9978539,0.0005797695,0.0001941113,0.0005910546,0.0005255389,0.0002555794],"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":[0.00003017363,0.00001248086,0.0004216596,0.0005120556,0.00001596574,0.00001642566,0.00002661024,0.0001442164,0.0001385523,0.0003790407,0.9968337,0.001469161],"study_design_scores_gemma":[0.00007432714,0.000008544911,0.002030863,0.0001827097,0.00001500131,0.00004063895,0.00007766089,0.0001907255,0.0002196988,0.0007669941,0.9963741,0.00001865371],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004942511,0.00002753207,0.00004888592,0.00003552316,0.00001244461,0.000005392794,0.998771,0.0004317318,0.0006180053],"genre_scores_gemma":[0.0001641818,0.00002903503,0.0002004845,0.00004112849,0.00000304977,0.00003882843,0.9989828,0.0001417956,0.0003986538],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8611819,"threshold_uncertainty_score":0.4643927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}