{"id":"W6943486569","doi":"10.15468/dl.tzsksm","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); Alien; The Internet","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":[0.001058035,0.001909739,0.001549894,0.004820334,0.001024792,0.002589091,0.002761297,0.002087129,0.1605668],"category_scores_gemma":[0.006238007,0.0008996024,0.001261703,0.009162512,0.000442976,0.002334294,0.002610278,0.002017709,0.2253867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001480925,"about_ca_system_score_gemma":0.002342737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01949382,"about_ca_topic_score_gemma":0.03200132,"domain_scores_codex":[0.998975,0.0001446574,0.0001284602,0.000358735,0.0002259846,0.0001671185],"domain_scores_gemma":[0.9973724,0.0007874153,0.0002306577,0.0006865666,0.0006356559,0.0002872997],"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":[0.00002755563,0.00001147332,0.0003613301,0.0005271147,0.00001415654,0.00001504727,0.00002171882,0.0001146137,0.0001139574,0.0003420696,0.9970691,0.001381821],"study_design_scores_gemma":[0.00007615405,0.000009276064,0.001873505,0.0002038921,0.000014777,0.00003717492,0.00007532528,0.0001555017,0.0001992902,0.0007592859,0.9965779,0.0000179156],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004347865,0.00002761121,0.00004491848,0.00004252059,0.00001445113,0.00000613444,0.9987753,0.0004109637,0.0006346984],"genre_scores_gemma":[0.0001643413,0.00003435307,0.0002025175,0.00005298347,0.000004183588,0.00004865845,0.9988496,0.000154634,0.0004886542],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8394332,"threshold_uncertainty_score":0.5371494,"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."}}