{"id":"W6962396061","doi":"10.15468/dl.xa4xy6","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); State (computer science); Data set","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":[0.001127521,0.002104779,0.001721106,0.005312183,0.001086377,0.002822547,0.003111983,0.002191887,0.1641312],"category_scores_gemma":[0.006531117,0.001016505,0.001224249,0.01036839,0.00048305,0.002508166,0.002685752,0.002127191,0.2371764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00176185,"about_ca_system_score_gemma":0.002588442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02392179,"about_ca_topic_score_gemma":0.03857138,"domain_scores_codex":[0.9987996,0.0001598634,0.0001562903,0.0004195723,0.0002709529,0.0001936943],"domain_scores_gemma":[0.9972498,0.0007808556,0.0002538036,0.000713754,0.000689408,0.0003123393],"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":[0.00002736228,0.00001047926,0.0003290299,0.0005133814,0.00001445025,0.00001427782,0.0000224745,0.0001120835,0.000109452,0.000372173,0.9972171,0.001257849],"study_design_scores_gemma":[0.00006839137,0.000007310916,0.001657045,0.0001877864,0.00001408631,0.00003538571,0.0000698092,0.0001340418,0.0001830981,0.0007318063,0.9968934,0.0000178215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003372099,0.00002416294,0.00004147962,0.00003305227,0.00001080531,0.000004686679,0.9989163,0.000347104,0.00058871],"genre_scores_gemma":[0.0001325407,0.00003066616,0.000173375,0.00004069583,0.000003030703,0.00003703175,0.9990188,0.0001436519,0.0004201926],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8358688,"threshold_uncertainty_score":0.5490736,"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."}}