{"id":"W6887161233","doi":"10.15468/dl.pt5sjd","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); Identification (biology); Species name","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":[0.001086027,0.001902981,0.001645592,0.005001779,0.001003004,0.002781014,0.002908752,0.002035705,0.1777367],"category_scores_gemma":[0.006414309,0.000992703,0.001141219,0.009919625,0.0004545128,0.002398323,0.002651983,0.002038603,0.2332196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001580005,"about_ca_system_score_gemma":0.002340961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02081832,"about_ca_topic_score_gemma":0.03315056,"domain_scores_codex":[0.9989095,0.0001439302,0.0001446842,0.0003848126,0.0002411338,0.000175972],"domain_scores_gemma":[0.9974649,0.0007391362,0.0002466553,0.0006611896,0.0005958949,0.0002923489],"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":[0.00002669559,0.000009847441,0.0003438969,0.0005208981,0.0000148007,0.00001380927,0.00002273391,0.0001148787,0.0001079148,0.0003720726,0.9971674,0.00128511],"study_design_scores_gemma":[0.00007128774,0.000007074698,0.001713447,0.0001903833,0.00001479824,0.00003526379,0.00006890731,0.0001373714,0.0001734975,0.0007528966,0.9968181,0.00001709981],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003321296,0.00002327446,0.00004299601,0.00003317279,0.00001090677,0.000004557651,0.9989402,0.0003325446,0.0005791948],"genre_scores_gemma":[0.0001539927,0.00003325762,0.0001920067,0.00004492385,0.000003423186,0.00004127003,0.9989012,0.0001627671,0.0004671749],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8222632,"threshold_uncertainty_score":0.5945886,"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."}}