{"id":"W6962335837","doi":"10.15468/dl.u9c743","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); Alien; Range (aeronautics); The Internet","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":[0.0009536844,0.0019738,0.0015679,0.005018033,0.0009719465,0.002627901,0.002683393,0.001979357,0.1854387],"category_scores_gemma":[0.006257493,0.0009180942,0.001198539,0.009748705,0.0004270874,0.002264538,0.002596581,0.001872331,0.2404023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583077,"about_ca_system_score_gemma":0.002361198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02010691,"about_ca_topic_score_gemma":0.03273885,"domain_scores_codex":[0.9989293,0.000144465,0.0001366669,0.0003906032,0.0002195774,0.0001793283],"domain_scores_gemma":[0.9975217,0.0007306802,0.0002389655,0.0006131277,0.0006265612,0.0002688961],"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":[0.00002836695,0.00001072057,0.0003672924,0.0005545203,0.0000134211,0.00001348887,0.00002060559,0.0001088617,0.0001074747,0.0003434487,0.9970199,0.001411905],"study_design_scores_gemma":[0.00007113581,0.000009285518,0.001782161,0.0002034293,0.00001468936,0.00003400138,0.00006495967,0.0001406504,0.0001808851,0.0007363107,0.9967445,0.0000177866],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003723418,0.00002583104,0.00003779508,0.00003372211,0.00001168089,0.000005252276,0.9988952,0.000340584,0.0006127824],"genre_scores_gemma":[0.0001538468,0.00003714236,0.0001916243,0.00005048101,0.000003862097,0.0000491368,0.9988,0.0001556416,0.0005582018],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8145613,"threshold_uncertainty_score":0.6203542,"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."}}