{"id":"W6905827883","doi":"10.15468/dl.ky6an2","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); Data set; 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":[0.001033556,0.002118464,0.001707298,0.005076083,0.001083566,0.00272434,0.002978952,0.002256505,0.1598706],"category_scores_gemma":[0.006085396,0.0009777127,0.001231853,0.009895293,0.000463133,0.002635984,0.002717796,0.002164394,0.2255611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001622693,"about_ca_system_score_gemma":0.002375942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02119525,"about_ca_topic_score_gemma":0.03603486,"domain_scores_codex":[0.9988881,0.0001598183,0.0001376769,0.0003977493,0.0002380278,0.0001786611],"domain_scores_gemma":[0.9974056,0.000733123,0.0002321925,0.0007037619,0.0006247452,0.0003005648],"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":[0.00003130456,0.00001184309,0.0003394848,0.0005350391,0.00001445274,0.00001511297,0.0000234406,0.0001191256,0.0001146693,0.0003911316,0.9971464,0.001257974],"study_design_scores_gemma":[0.00007681707,0.000008030565,0.001679222,0.0001820199,0.00001356542,0.000035548,0.00007179606,0.0001451592,0.0001808851,0.0008347513,0.9967536,0.00001860113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003956603,0.00002617842,0.00004528138,0.00003639158,0.00001140257,0.000005340512,0.9988052,0.0003888931,0.000641704],"genre_scores_gemma":[0.0001494841,0.00003130017,0.0001941763,0.00004578561,0.000003292887,0.00004067622,0.9989156,0.0001538891,0.0004657935],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8401294,"threshold_uncertainty_score":0.5348206,"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."}}