{"id":"W6924984586","doi":"10.15468/dl.zapg9n","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":[0.000975785,0.001890632,0.001504165,0.00481609,0.0009637613,0.002515383,0.002653201,0.002012818,0.1641482],"category_scores_gemma":[0.006048242,0.0008839703,0.001221874,0.008926554,0.0004382436,0.00217272,0.002473213,0.001939488,0.2280146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001508459,"about_ca_system_score_gemma":0.002215207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02123715,"about_ca_topic_score_gemma":0.03368378,"domain_scores_codex":[0.9990444,0.0001328318,0.0001150572,0.0003395092,0.0002092291,0.0001590361],"domain_scores_gemma":[0.9975721,0.0007478608,0.0002074605,0.000611035,0.0005857408,0.0002756358],"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":[0.00002735738,0.000011624,0.000389978,0.0005267398,0.00001396109,0.0000152963,0.00002364019,0.0001247336,0.0001196707,0.0003373893,0.9969985,0.001411007],"study_design_scores_gemma":[0.00007656701,0.000009749248,0.002067001,0.0002121054,0.00001569015,0.0000391422,0.00008240216,0.0001814274,0.0001956563,0.0007823801,0.9963193,0.00001864632],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004593613,0.00002752169,0.0000455013,0.00003973784,0.00001339616,0.000006009538,0.998777,0.0004072154,0.0006376824],"genre_scores_gemma":[0.0001780631,0.00003469886,0.0002058303,0.00005225674,0.000004096692,0.00005010842,0.9988039,0.0001661257,0.000504918],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8358518,"threshold_uncertainty_score":0.5491303,"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."}}