{"id":"W6905873085","doi":"10.15468/dl.ru8prq","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); Identification (biology)","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":[0.001149483,0.002035049,0.001628554,0.005355277,0.001057507,0.002712192,0.002942652,0.002130943,0.1608324],"category_scores_gemma":[0.006492584,0.0009778799,0.001191733,0.01036318,0.0004741233,0.002360252,0.002624496,0.002060223,0.2253915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001689863,"about_ca_system_score_gemma":0.002540245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02328599,"about_ca_topic_score_gemma":0.0378979,"domain_scores_codex":[0.9988202,0.0001610112,0.0001570909,0.000409248,0.0002632248,0.000189124],"domain_scores_gemma":[0.9972131,0.0007917881,0.0002647324,0.0007268754,0.0006989925,0.0003045543],"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":[0.00002725543,0.0000109046,0.0003642753,0.0005093989,0.00001472334,0.00001448635,0.00002374315,0.0001141288,0.0001126311,0.0003720597,0.9971488,0.00128762],"study_design_scores_gemma":[0.00006813704,0.000007389131,0.001782094,0.0001898569,0.00001437152,0.00003629774,0.00007356685,0.0001364668,0.0001833674,0.0007202625,0.9967703,0.00001787845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003468078,0.00002366689,0.00004185496,0.0000320188,0.00001056435,0.000004765182,0.998953,0.0003306199,0.0005688299],"genre_scores_gemma":[0.0001413422,0.00002957279,0.0001808117,0.00004009694,0.00000309492,0.00003874624,0.9990133,0.0001388363,0.0004142182],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8391676,"threshold_uncertainty_score":0.538038,"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."}}