{"id":"W6924979826","doi":"10.15468/dl.zzqh68","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); Order (exchange)","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":[0.001060229,0.001816046,0.001507522,0.004872594,0.001014066,0.002494197,0.002713283,0.001947992,0.1590904],"category_scores_gemma":[0.006221876,0.0009206653,0.001092488,0.009323053,0.0004471705,0.002216622,0.002552773,0.001954749,0.2141254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001588379,"about_ca_system_score_gemma":0.002342599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02140713,"about_ca_topic_score_gemma":0.03581892,"domain_scores_codex":[0.9989505,0.0001393936,0.0001372762,0.0003625821,0.0002383502,0.0001718086],"domain_scores_gemma":[0.9974316,0.0007359109,0.0002382935,0.0006761318,0.0006289671,0.0002891414],"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":[0.00002836436,0.00001127,0.0004152234,0.0005292572,0.00001444597,0.00001577812,0.00002657619,0.0001173536,0.0001317535,0.0004009943,0.9968844,0.001424553],"study_design_scores_gemma":[0.00006701994,0.000007722512,0.002026292,0.0001953147,0.00001425515,0.00003858215,0.00008010671,0.00013382,0.0001900363,0.000692864,0.9965366,0.00001732147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004237815,0.00002382019,0.00004487013,0.00003371474,0.00001149835,0.000004935072,0.998875,0.0003418354,0.0006219764],"genre_scores_gemma":[0.0001606262,0.00003035192,0.0002030859,0.00004054299,0.000003093405,0.00004202113,0.9989222,0.0001496715,0.0004485287],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8409096,"threshold_uncertainty_score":0.5322104,"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."}}