{"id":"W6924402418","doi":"10.15468/dl.kbtr4d","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); Set (abstract data type); Data set","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":[0.001134124,0.001975371,0.001622705,0.004971202,0.001079982,0.002660227,0.002954446,0.002045425,0.1615267],"category_scores_gemma":[0.006326008,0.0009511033,0.001153601,0.009764303,0.0004598757,0.002358417,0.002630036,0.002117116,0.2214881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001684486,"about_ca_system_score_gemma":0.002479797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02307398,"about_ca_topic_score_gemma":0.03865676,"domain_scores_codex":[0.9989089,0.0001476928,0.0001374168,0.0003786777,0.0002531389,0.000174206],"domain_scores_gemma":[0.9974225,0.000740419,0.0002377538,0.0006713728,0.0006407787,0.0002872199],"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":[0.00002723765,0.00001100912,0.0003545825,0.000509447,0.00001441022,0.00001480805,0.00002502914,0.0001171843,0.0001247167,0.0004134263,0.9970305,0.001357595],"study_design_scores_gemma":[0.00006203879,0.000006837116,0.001683789,0.0001763083,0.00001354004,0.00003436208,0.00006803739,0.0001293485,0.0001912258,0.0007306496,0.9968866,0.00001717267],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003866774,0.00002507278,0.00005057775,0.00003448149,0.00001142338,0.000005099327,0.9987606,0.0003867582,0.0006873885],"genre_scores_gemma":[0.0001501086,0.00003047916,0.0002075936,0.00004104965,0.000003018197,0.00004132653,0.998899,0.0001654987,0.0004618835],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8384733,"threshold_uncertainty_score":0.5403608,"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."}}