{"id":"W6887237297","doi":"10.15468/dl.xgvtaf","title":"Occurrence Download","year":2016,"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); Training set; File Transfer Protocol","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":[0.001000511,0.001995478,0.001649606,0.005461761,0.0009456718,0.002662309,0.002964288,0.001953577,0.1429992],"category_scores_gemma":[0.006032398,0.0009099638,0.001197162,0.01119737,0.0004233131,0.002430312,0.002661259,0.001965297,0.2177137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001574723,"about_ca_system_score_gemma":0.002455498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02180202,"about_ca_topic_score_gemma":0.03750481,"domain_scores_codex":[0.9988579,0.0001448956,0.0001530273,0.0003991213,0.0002594987,0.0001856872],"domain_scores_gemma":[0.9974864,0.0006203916,0.0002535943,0.0006940758,0.0006454461,0.0003000891],"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":[0.00002606416,0.0000108098,0.0003961201,0.0004984919,0.00001548338,0.00001380125,0.00002313228,0.0001196504,0.0001022367,0.0003724793,0.996982,0.001439655],"study_design_scores_gemma":[0.00005814081,0.000007131905,0.001794162,0.0001847301,0.00001400738,0.00003552779,0.00006964925,0.0001402947,0.0001755356,0.000707841,0.996797,0.00001596981],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004178501,0.00002960465,0.00004434971,0.00003327988,0.00001205762,0.000004618359,0.9988608,0.000350857,0.0006226935],"genre_scores_gemma":[0.0001415542,0.0000334977,0.0001714493,0.00003484745,0.000003137925,0.00003182721,0.9990197,0.0001205328,0.0004433951],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8570008,"threshold_uncertainty_score":0.47838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}