{"id":"W6906044014","doi":"10.15468/dl.xtjcfv","title":"Occurrence Download","year":2024,"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); 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":[0.0009669012,0.001903497,0.00150255,0.005146047,0.001007581,0.002588511,0.00282804,0.001936628,0.1617935],"category_scores_gemma":[0.006051126,0.0009440276,0.001160313,0.01050314,0.0004332087,0.002423902,0.002616121,0.001963733,0.2150551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001733338,"about_ca_system_score_gemma":0.002662054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02811657,"about_ca_topic_score_gemma":0.04667338,"domain_scores_codex":[0.9989241,0.0001460834,0.0001336407,0.0003687915,0.0002438449,0.0001834816],"domain_scores_gemma":[0.997521,0.0006512169,0.0002348471,0.0006550857,0.0006484851,0.0002893684],"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":[0.00002525724,0.000009551588,0.0003659601,0.0004469281,0.00001400399,0.00001275579,0.00002143413,0.0001181171,0.00009267376,0.0003873203,0.9972405,0.001265491],"study_design_scores_gemma":[0.00006027252,0.000006652097,0.00166843,0.0001663938,0.00001304975,0.00003152546,0.00006936742,0.0001385605,0.0001662782,0.0007896827,0.9968736,0.00001616348],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003868783,0.00002382116,0.00004289539,0.00003404419,0.00001102025,0.000004600083,0.9988461,0.0003545166,0.0006443396],"genre_scores_gemma":[0.0001511349,0.0000299653,0.0001856409,0.00004077586,0.000002951861,0.00003484137,0.998915,0.0001421669,0.0004975569],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8382065,"threshold_uncertainty_score":0.5412531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}