{"id":"W6943484890","doi":"10.15468/dl.z53s4e","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":"Matching (statistics); Download; 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":[0.0008681584,0.001937459,0.001537928,0.004754451,0.0008988767,0.002436379,0.002632938,0.001853007,0.1549504],"category_scores_gemma":[0.005282426,0.0009055802,0.001111535,0.009489289,0.0004026606,0.002190616,0.002433723,0.001820764,0.2118549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001452778,"about_ca_system_score_gemma":0.002194872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01941024,"about_ca_topic_score_gemma":0.03386201,"domain_scores_codex":[0.9989792,0.0001358475,0.0001338525,0.0003614965,0.0002181326,0.0001714726],"domain_scores_gemma":[0.9977216,0.0005952641,0.0002340947,0.0005932366,0.0005860641,0.0002697884],"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":[0.0000335958,0.00001138223,0.00039619,0.00054625,0.00001480124,0.000013951,0.00001987714,0.0001178505,0.0001222739,0.0003798103,0.9969383,0.001405696],"study_design_scores_gemma":[0.00007498782,0.000009173967,0.001941352,0.0001772652,0.00001401738,0.00003540684,0.00005855936,0.0001331587,0.0001782572,0.0007448893,0.9966149,0.00001796307],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003873581,0.00002395848,0.00003509468,0.00002870481,0.00001028361,0.000004539487,0.9989752,0.000284127,0.0005993598],"genre_scores_gemma":[0.0001466703,0.00003196645,0.0001657657,0.00004469755,0.000003364114,0.00003647895,0.9989884,0.0001116228,0.0004709733],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8450496,"threshold_uncertainty_score":0.5183609,"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."}}