{"id":"W6905986798","doi":"10.15468/dl.wzcgem","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":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.000913791,0.002063607,0.001509616,0.005078762,0.0009582791,0.002450441,0.002577472,0.001924524,0.1631441],"category_scores_gemma":[0.005843852,0.0008989769,0.00120148,0.00991542,0.0004445535,0.002092759,0.002485523,0.001762805,0.2190414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00143958,"about_ca_system_score_gemma":0.002247715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02040279,"about_ca_topic_score_gemma":0.03256786,"domain_scores_codex":[0.998996,0.0001364127,0.0001277968,0.0003601644,0.0002083949,0.000171236],"domain_scores_gemma":[0.9976173,0.000694561,0.0002335502,0.0005966225,0.0005906553,0.0002672164],"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":[0.00003362087,0.00001203837,0.000424664,0.0005806691,0.00001453628,0.00001541322,0.00002296214,0.0001325841,0.0001280139,0.0003483904,0.9967456,0.001541544],"study_design_scores_gemma":[0.00007957072,0.00001104561,0.00198369,0.0001990022,0.00001575761,0.00003797492,0.00007197396,0.0001522736,0.0002035915,0.0007481232,0.996478,0.00001906158],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004706384,0.00002740365,0.00003828158,0.00003186805,0.0000121454,0.000005207046,0.9988592,0.0003645328,0.0006144319],"genre_scores_gemma":[0.0001664169,0.00003493742,0.0001901944,0.00004479209,0.000003731245,0.00004420586,0.9988974,0.0001464699,0.0004717453],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8368559,"threshold_uncertainty_score":0.5457712,"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."}}