{"id":"W6905830641","doi":"10.15468/dl.qhaqxb","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); State (computer science); Confidentiality","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":[0.001062219,0.002014767,0.001567204,0.005074196,0.0009959328,0.002488726,0.00287942,0.002105347,0.1534505],"category_scores_gemma":[0.005826138,0.0009320013,0.001169472,0.009484247,0.0004731624,0.002315247,0.002566068,0.002074064,0.2064321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582659,"about_ca_system_score_gemma":0.002255685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02004502,"about_ca_topic_score_gemma":0.03361952,"domain_scores_codex":[0.9989672,0.0001438441,0.000129191,0.000363448,0.0002242467,0.0001720494],"domain_scores_gemma":[0.9975348,0.0007098299,0.000241777,0.0006656166,0.0005572037,0.0002907439],"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":[0.00003037909,0.00001291573,0.0003853965,0.0005355272,0.00001533393,0.0000155877,0.00002575099,0.0001379207,0.0001264688,0.0003964189,0.9969,0.001418263],"study_design_scores_gemma":[0.00007781255,0.000008573526,0.001882162,0.0001861396,0.00001442859,0.00003979389,0.00007655156,0.0001613793,0.0001989685,0.0007914163,0.9965448,0.00001818821],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004845501,0.00002731119,0.00004983791,0.00003688064,0.00001278525,0.000005632114,0.99876,0.0004019325,0.0006571773],"genre_scores_gemma":[0.0001702142,0.0000306583,0.0002105908,0.00004401175,0.000003548634,0.00004419109,0.998897,0.0001544633,0.0004452798],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8465495,"threshold_uncertainty_score":0.5133432,"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."}}