{"id":"W6924831490","doi":"10.15468/dl.txd24x","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","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":[0.001026812,0.001988671,0.001629446,0.004916775,0.001038093,0.002623982,0.00279577,0.002171408,0.1591721],"category_scores_gemma":[0.006392124,0.0009401243,0.001307965,0.009342049,0.0004540217,0.002481203,0.002693787,0.002035955,0.2242583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001597809,"about_ca_system_score_gemma":0.002367921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02174636,"about_ca_topic_score_gemma":0.03394021,"domain_scores_codex":[0.9988986,0.0001541999,0.0001435393,0.0003910974,0.0002339008,0.000178752],"domain_scores_gemma":[0.997272,0.000794388,0.0002385678,0.0007295602,0.0006690783,0.0002964638],"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":[0.00002990275,0.00001215802,0.0003875918,0.0005737032,0.00001510579,0.0000152991,0.00002375776,0.0001250596,0.0001177708,0.0003611566,0.9969213,0.001417191],"study_design_scores_gemma":[0.00007598363,0.000009530358,0.001969837,0.000213156,0.00001546627,0.00003854222,0.00008052394,0.0001660247,0.0001892702,0.0007566105,0.9964665,0.00001854116],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004316444,0.00002798099,0.0000445775,0.00004113543,0.00001377799,0.000005916137,0.9988207,0.0004001471,0.0006025831],"genre_scores_gemma":[0.0001567919,0.00003512304,0.0001954145,0.00004977805,0.000003767938,0.00004314144,0.998916,0.0001439294,0.0004560322],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8408278,"threshold_uncertainty_score":0.5324839,"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."}}