{"id":"W6924650847","doi":"10.15468/dl.n5fthd","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; Troglodytes; Matching (statistics); Range (aeronautics); UniProt","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":[0.0009391396,0.001916411,0.001529614,0.004558078,0.0009079609,0.002349484,0.002748208,0.001941256,0.1425164],"category_scores_gemma":[0.005314637,0.0008885128,0.001173307,0.00902938,0.0004384659,0.002077525,0.002416882,0.001892049,0.2054862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00151049,"about_ca_system_score_gemma":0.002167745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02165541,"about_ca_topic_score_gemma":0.03544749,"domain_scores_codex":[0.9990722,0.0001239637,0.0001180921,0.0003239248,0.00020515,0.0001564791],"domain_scores_gemma":[0.9978895,0.0005803152,0.0002028309,0.0005719826,0.0005117693,0.0002436802],"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":[0.00003008471,0.00001143816,0.000434256,0.0005269545,0.00001683311,0.00001524014,0.00002539961,0.0001532833,0.0001393094,0.0003875575,0.9967188,0.001540748],"study_design_scores_gemma":[0.0000751868,0.000008472311,0.002113366,0.0001863797,0.00001575147,0.0000394584,0.00007590075,0.0001752632,0.0002088084,0.0007424437,0.9963408,0.00001815814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004475581,0.00002578135,0.00004629163,0.00003156376,0.00001156607,0.000004698205,0.9988864,0.000381127,0.0005677861],"genre_scores_gemma":[0.0001590627,0.00002882181,0.000187395,0.00003726545,0.000002934706,0.00003469363,0.9990315,0.0001385155,0.0003797074],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8574836,"threshold_uncertainty_score":0.4767649,"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."}}