{"id":"W6943601139","doi":"10.15468/dl.uy3j8u","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); Column (typography)","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":[0.001039809,0.001950136,0.00161958,0.005181286,0.001012961,0.002598319,0.00291874,0.002052242,0.1609393],"category_scores_gemma":[0.006489554,0.0009257292,0.001176194,0.009858011,0.0004457677,0.002422391,0.002656788,0.001964754,0.2190795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001598118,"about_ca_system_score_gemma":0.002492224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02307838,"about_ca_topic_score_gemma":0.03980299,"domain_scores_codex":[0.9988704,0.000155106,0.0001535917,0.0003872424,0.0002512719,0.0001823468],"domain_scores_gemma":[0.9972802,0.0007567631,0.0002529348,0.0007197913,0.000684711,0.0003055227],"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":[0.00002928312,0.00001142166,0.0003794624,0.0005531111,0.00001503434,0.00001582639,0.00002437102,0.0001156291,0.0001163362,0.0003724512,0.9969932,0.001373827],"study_design_scores_gemma":[0.00006694117,0.000007838866,0.001892499,0.0001985727,0.00001421997,0.00003920865,0.00007337466,0.0001263879,0.0001815616,0.0007055333,0.9966753,0.00001859088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003844159,0.00002526414,0.00004121834,0.00003288983,0.00001076149,0.00000520564,0.9989219,0.0003356097,0.0005888739],"genre_scores_gemma":[0.0001487646,0.00003146727,0.0001826529,0.00004151922,0.000003246808,0.00004084061,0.9989777,0.0001342233,0.0004395843],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8390607,"threshold_uncertainty_score":0.5383956,"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."}}