{"id":"W6962334866","doi":"10.15468/dl.v59762","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Alien; Data source","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":[0.0009855533,0.002184639,0.001625812,0.004724036,0.001073541,0.002624269,0.003012277,0.002336375,0.1490092],"category_scores_gemma":[0.00646908,0.0008983912,0.001350962,0.008557311,0.0004574247,0.002494636,0.002557041,0.00219426,0.2339849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001584417,"about_ca_system_score_gemma":0.002347817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01821813,"about_ca_topic_score_gemma":0.03183647,"domain_scores_codex":[0.9989027,0.0001585585,0.0001341732,0.0003965119,0.000235054,0.0001730111],"domain_scores_gemma":[0.9974396,0.0007215154,0.00020117,0.0007103984,0.0006467955,0.0002804239],"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":[0.00002715899,0.00001275374,0.0003123494,0.0004406407,0.00001198899,0.00001340517,0.0000166061,0.000111735,0.00008450931,0.0002934063,0.9974322,0.001243218],"study_design_scores_gemma":[0.00008994572,0.0000110529,0.001733814,0.0001882019,0.00001439756,0.0000421775,0.0000712609,0.0002334169,0.0001986211,0.0009485265,0.9964502,0.00001837199],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005150132,0.00003461937,0.00005314821,0.00005149283,0.00001581698,0.000008177683,0.9985117,0.0005514743,0.0007220127],"genre_scores_gemma":[0.0001677738,0.00003534151,0.000221932,0.00005738212,0.000004474841,0.00005219646,0.9988171,0.0001528902,0.0004909843],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8509908,"threshold_uncertainty_score":0.4984855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0169086788684483,"score_gpt":0.2209328989132924,"score_spread":0.2040242200448441,"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."}}