{"id":"W6962466907","doi":"10.15468/dl.xskh2x","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); 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":[0.001134377,0.002031132,0.001682302,0.005393832,0.001079231,0.002821067,0.003005486,0.002144711,0.16407],"category_scores_gemma":[0.006386233,0.000989123,0.001200936,0.01034921,0.0004803096,0.002490078,0.002693032,0.002136783,0.2334553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001687466,"about_ca_system_score_gemma":0.002490692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02269898,"about_ca_topic_score_gemma":0.03812575,"domain_scores_codex":[0.9988204,0.0001594592,0.0001601333,0.0004056011,0.0002661197,0.0001883113],"domain_scores_gemma":[0.9972583,0.0007827968,0.0002576606,0.0007086387,0.0006854358,0.000307144],"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":[0.00002762437,0.00001099502,0.0003536554,0.0005359119,0.00001447806,0.00001570259,0.00002522742,0.0001108891,0.0001156636,0.0003938375,0.9970973,0.001298896],"study_design_scores_gemma":[0.00006718039,0.000007095849,0.001689343,0.0001888485,0.00001364144,0.00003848746,0.00007494542,0.0001281084,0.0001739591,0.0007234533,0.9968772,0.00001763251],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003597891,0.00002409447,0.00004555184,0.00003401919,0.00001138309,0.000004954147,0.998877,0.0003452915,0.0006217277],"genre_scores_gemma":[0.000139512,0.0000308113,0.0001894442,0.00004107686,0.000003178534,0.00003874305,0.9989703,0.0001466738,0.0004402462],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.83593,"threshold_uncertainty_score":0.5488689,"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."}}