{"id":"W6886993607","doi":"10.15468/dl.kg34yu","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); 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":[0.00114356,0.001961223,0.001661547,0.005306449,0.001030253,0.002705144,0.002935292,0.002019637,0.172341],"category_scores_gemma":[0.006603499,0.0009927861,0.001150413,0.01059639,0.0004545007,0.002352854,0.002580348,0.002046941,0.2331615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001678181,"about_ca_system_score_gemma":0.002497834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02440325,"about_ca_topic_score_gemma":0.03837194,"domain_scores_codex":[0.9988951,0.0001491711,0.0001447657,0.0003802884,0.0002506338,0.0001800068],"domain_scores_gemma":[0.9972762,0.0007883789,0.0002554424,0.0006925753,0.000693293,0.0002940141],"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":[0.00002613846,0.000009733417,0.0003338172,0.0005096985,0.00001505501,0.00001402837,0.00002384875,0.0001110205,0.0001066486,0.0003937,0.9971528,0.001303386],"study_design_scores_gemma":[0.00006516437,0.000006571885,0.001675055,0.0001850159,0.00001435063,0.00003377032,0.00006853151,0.0001262664,0.0001727726,0.0007395653,0.9968958,0.00001716338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003162613,0.00002280592,0.00004458163,0.0000310814,0.00001014074,0.000004535086,0.9989113,0.0003391691,0.0006048919],"genre_scores_gemma":[0.0001415963,0.00003200639,0.0001911622,0.00004023777,0.000003060233,0.00004019374,0.998946,0.0001625318,0.0004432932],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.827659,"threshold_uncertainty_score":0.5765382,"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."}}