{"id":"W6887152728","doi":"10.15468/dl.shwnvx","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); Alien; Download; Range (aeronautics)","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":[0.0009441638,0.002102461,0.001537319,0.004953527,0.0009761136,0.002538827,0.002624029,0.001979887,0.1661344],"category_scores_gemma":[0.006058846,0.0008900448,0.001249209,0.009702112,0.0004401959,0.002151183,0.002489889,0.001816807,0.2260018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001466567,"about_ca_system_score_gemma":0.002260366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02056517,"about_ca_topic_score_gemma":0.0326065,"domain_scores_codex":[0.9989435,0.0001444802,0.0001311584,0.0003806506,0.0002248053,0.0001754578],"domain_scores_gemma":[0.9975498,0.0007172775,0.0002302627,0.000622331,0.0006065955,0.0002737323],"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":[0.00003123158,0.0000114961,0.0003964174,0.0005162318,0.00001400421,0.00001408808,0.0000204985,0.000128565,0.0001147455,0.0003295689,0.9969908,0.001432434],"study_design_scores_gemma":[0.00007934766,0.00001080638,0.001898337,0.0001903415,0.00001561027,0.00003745292,0.00006710007,0.0001713611,0.0002054408,0.0008045794,0.9965004,0.00001919888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004614889,0.00002826783,0.00004081704,0.00003517723,0.00001285343,0.000005320208,0.998784,0.0004016461,0.000645724],"genre_scores_gemma":[0.0001674175,0.00003502137,0.0001951866,0.00004834023,0.000003953608,0.00004448357,0.9988543,0.000159803,0.0004915402],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8338656,"threshold_uncertainty_score":0.5557748,"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."}}