{"id":"W6943138672","doi":"10.15468/dl.c6mguq","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Butterfly; Download; Matching (statistics); Barcode; Range (aeronautics); Population","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":["insufficient_payload"],"category_scores_codex":[0.0008821716,0.002617232,0.002042819,0.006112498,0.001124577,0.003672656,0.002447959,0.00210818,0.31229],"category_scores_gemma":[0.005900255,0.001009213,0.001968283,0.009142887,0.0003533197,0.003495703,0.003552052,0.002014267,0.3583755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001485131,"about_ca_system_score_gemma":0.00232842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01915156,"about_ca_topic_score_gemma":0.03243706,"domain_scores_codex":[0.9987988,0.0001362741,0.0001809291,0.0004465081,0.0002393162,0.0001981057],"domain_scores_gemma":[0.9973722,0.0007204802,0.0002061324,0.000663218,0.0006816314,0.0003562922],"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":[0.00005648332,0.0000181104,0.0003584807,0.0005939662,0.00001828652,0.00001989902,0.00002512901,0.0001389293,0.000101369,0.0004156875,0.994917,0.00333658],"study_design_scores_gemma":[0.0001052999,0.00001595735,0.00156723,0.0001856653,0.00001956286,0.00004276028,0.000083615,0.0003654114,0.0001917884,0.001295054,0.9961008,0.00002685459],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005641886,0.00004103714,0.0001039353,0.00005528985,0.00002753661,0.00001274554,0.9965311,0.001524522,0.001647451],"genre_scores_gemma":[0.0002562706,0.00006037161,0.0005951213,0.0000937572,0.00000954877,0.00006208003,0.9973752,0.0004126772,0.001135075],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.68771,"threshold_uncertainty_score":0.9809349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}