{"id":"W6887097096","doi":"10.15468/dl.qkz76w","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); State (computer science); 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":[0.001116925,0.002007658,0.001636997,0.005351311,0.00107626,0.002736571,0.002953447,0.002079967,0.1720179],"category_scores_gemma":[0.006579373,0.0009885898,0.00116124,0.01046975,0.0004736446,0.002402935,0.002659554,0.002094135,0.2316298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001685668,"about_ca_system_score_gemma":0.002504126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02392228,"about_ca_topic_score_gemma":0.03874709,"domain_scores_codex":[0.9988452,0.0001553479,0.0001506508,0.0003989572,0.00026281,0.0001870482],"domain_scores_gemma":[0.9971948,0.0007986801,0.0002622634,0.0007384229,0.0006920579,0.0003137296],"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":[0.00002596794,0.00001030775,0.0003382981,0.0004849928,0.00001385579,0.00001396984,0.00002338375,0.0001087227,0.0001033217,0.0003754017,0.9972404,0.001261345],"study_design_scores_gemma":[0.000066427,0.000006935807,0.001742753,0.0001826083,0.00001368451,0.00003572007,0.00007283634,0.000127028,0.0001727999,0.0007324321,0.9968291,0.00001764525],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003483131,0.00002300872,0.00004402574,0.00003242819,0.00001103086,0.000004707575,0.9988999,0.0003359582,0.0006140471],"genre_scores_gemma":[0.000144346,0.00003047299,0.000187757,0.00004087826,0.000003210645,0.0000404661,0.9989435,0.000154911,0.0004544267],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8279821,"threshold_uncertainty_score":0.5754571,"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."}}