{"id":"W6962318074","doi":"10.15468/dl.m66cyz","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":[0.001136508,0.002026664,0.001696929,0.005434866,0.001085064,0.002898243,0.003023068,0.002105147,0.1754791],"category_scores_gemma":[0.006624251,0.001000949,0.001206491,0.01090803,0.0004653723,0.002539755,0.002727918,0.002119133,0.2402843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001682375,"about_ca_system_score_gemma":0.002496601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02294233,"about_ca_topic_score_gemma":0.03772264,"domain_scores_codex":[0.998816,0.0001603096,0.0001549797,0.00041388,0.0002643724,0.0001904234],"domain_scores_gemma":[0.9972568,0.0007974215,0.0002539335,0.0007099059,0.0006696861,0.000312276],"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":[0.00002672274,0.000009751414,0.0003309611,0.0005063547,0.00001437021,0.00001405342,0.00002346482,0.0001079113,0.0001036562,0.0003893495,0.9971936,0.001279869],"study_design_scores_gemma":[0.0000636718,0.000006547764,0.001609476,0.0001895341,0.00001389757,0.00003369351,0.00006850996,0.0001259568,0.0001671211,0.0007599966,0.9969445,0.00001707498],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003265853,0.00002378729,0.00004349207,0.00003196622,0.00001073862,0.000004410252,0.9988891,0.000340385,0.0006234863],"genre_scores_gemma":[0.0001332587,0.00003246743,0.0001836096,0.0000414253,0.000003176465,0.00003782375,0.9989437,0.0001623297,0.0004621498],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8245209,"threshold_uncertainty_score":0.5870361,"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."}}