{"id":"W6943709388","doi":"10.15468/dl.t7cgtk","title":"Occurrence Download","year":2021,"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); Reference data","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":[0.001091708,0.002087814,0.00168436,0.005079851,0.001026845,0.00264178,0.003107207,0.002130089,0.1690938],"category_scores_gemma":[0.006775213,0.001020361,0.00118127,0.01024398,0.0004825679,0.002407782,0.002626838,0.002209428,0.2212723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001843346,"about_ca_system_score_gemma":0.002633493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02586194,"about_ca_topic_score_gemma":0.03859251,"domain_scores_codex":[0.9988907,0.0001390546,0.0001425784,0.0003880112,0.000260207,0.0001795707],"domain_scores_gemma":[0.9971433,0.0008245116,0.0002651841,0.0007633519,0.0006751208,0.0003284279],"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":[0.00002826555,0.0000106045,0.0003266918,0.0004358747,0.00001307233,0.00001372991,0.00002341228,0.0001230557,0.00009778693,0.0003769506,0.9973169,0.001233618],"study_design_scores_gemma":[0.00007308979,0.000007014884,0.001720414,0.0001604572,0.00001344652,0.00003369135,0.00006909834,0.0001680167,0.000204249,0.0007462741,0.9967866,0.00001771021],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003366338,0.00001792592,0.000042255,0.00003284799,0.000009595893,0.000004780524,0.9988821,0.0003959741,0.0005808737],"genre_scores_gemma":[0.0001496367,0.00002522778,0.0001883577,0.00003656023,0.000002806216,0.0000410769,0.9989273,0.0001681904,0.0004608368],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8309062,"threshold_uncertainty_score":0.5656753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}