{"id":"W6924911736","doi":"10.15468/dl.ncc2sm","title":"Occurrence Download","year":2015,"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); Data set; Confidentiality","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":[0.001021252,0.001924939,0.001676959,0.005565281,0.0009037335,0.002728866,0.00292093,0.001955087,0.1420471],"category_scores_gemma":[0.0062489,0.0008854981,0.001202006,0.01102866,0.0004240802,0.002321987,0.00269208,0.001968079,0.1936247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001614742,"about_ca_system_score_gemma":0.002510435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02151201,"about_ca_topic_score_gemma":0.03504529,"domain_scores_codex":[0.9989133,0.0001397375,0.0001475798,0.0003700213,0.0002506489,0.0001787491],"domain_scores_gemma":[0.9975761,0.0006445323,0.0002540572,0.0006544418,0.0005831182,0.0002879496],"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":[0.00003007186,0.00001054402,0.0004592652,0.0005863625,0.00001898796,0.00001512156,0.00002504743,0.0001383096,0.0001113049,0.0004440744,0.9966201,0.001540804],"study_design_scores_gemma":[0.0000707147,0.000007570416,0.002045826,0.0002056649,0.00001650076,0.00003781232,0.00006991652,0.0001560915,0.0001823707,0.0008159085,0.9963742,0.00001735575],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004401633,0.00003073468,0.00004563885,0.00003205492,0.00001073251,0.000004752331,0.9988456,0.0003858069,0.0006007773],"genre_scores_gemma":[0.0001617132,0.00003450038,0.0001762595,0.00003658787,0.000002911765,0.00003282651,0.9990276,0.0001288667,0.0003986517],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.857953,"threshold_uncertainty_score":0.4751948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}