{"id":"W6962447961","doi":"10.15468/dl.uyjm4j","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); Download; Range (aeronautics); Set (abstract data type)","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":[0.0008922453,0.002045123,0.001570542,0.005002956,0.000940994,0.002550016,0.002662912,0.001977667,0.1605371],"category_scores_gemma":[0.005623059,0.0009221587,0.001135869,0.009672513,0.0004114272,0.002326137,0.002426049,0.001830412,0.2248273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001520639,"about_ca_system_score_gemma":0.002239636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0197476,"about_ca_topic_score_gemma":0.03459497,"domain_scores_codex":[0.9989573,0.0001409511,0.0001334485,0.0003758216,0.0002187423,0.0001736501],"domain_scores_gemma":[0.9976683,0.0006344729,0.0002295864,0.0005982865,0.000604145,0.0002651631],"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":[0.00003378968,0.00001118133,0.0003834023,0.0005599203,0.00001487429,0.00001421537,0.00001968594,0.0001169415,0.0001237155,0.0003758497,0.996909,0.0014374],"study_design_scores_gemma":[0.00007121006,0.000009287219,0.001826519,0.0001858757,0.00001474351,0.00003653898,0.0000570081,0.0001367304,0.0001896649,0.0007820269,0.9966723,0.00001812088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004096343,0.00002845445,0.00003857241,0.00003086323,0.00001070622,0.000004497453,0.9988965,0.0003169675,0.0006323897],"genre_scores_gemma":[0.0001535603,0.00003426331,0.0001754015,0.00004522387,0.000003493611,0.00003695651,0.9989122,0.0001262313,0.000512677],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8394629,"threshold_uncertainty_score":0.53705,"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."}}