{"id":"W6905819607","doi":"10.15468/dl.qhfj6p","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; Data collection","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":[0.0009804374,0.001979839,0.001562532,0.004864462,0.001000762,0.002629203,0.002678636,0.002103995,0.1579476],"category_scores_gemma":[0.006031032,0.0008718863,0.001256434,0.008978744,0.0004333117,0.002370305,0.002534167,0.001933664,0.227334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001502048,"about_ca_system_score_gemma":0.002205383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02052787,"about_ca_topic_score_gemma":0.03143892,"domain_scores_codex":[0.9989979,0.000140802,0.0001239778,0.0003513304,0.0002211935,0.0001649294],"domain_scores_gemma":[0.9974841,0.0007450713,0.0002160392,0.00065884,0.0006167187,0.0002792491],"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":[0.00002907945,0.00001195822,0.0004119519,0.0005289033,0.00001389043,0.00001616981,0.00002249511,0.0001222307,0.000115366,0.0003362565,0.9969392,0.001452671],"study_design_scores_gemma":[0.0000732993,0.000009485592,0.002030845,0.0002128457,0.00001479328,0.00003983299,0.00008158185,0.0001856666,0.0002022284,0.0007728236,0.9963583,0.00001834107],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000046428,0.0000292189,0.00004514136,0.00004193893,0.00001363853,0.000006034009,0.9987438,0.0004368407,0.0006370104],"genre_scores_gemma":[0.0001769244,0.0000358508,0.0002059105,0.00005164953,0.000004242349,0.00004633898,0.9988472,0.00015698,0.0004748733],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8420524,"threshold_uncertainty_score":0.5283873,"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."}}