{"id":"W6905943956","doi":"10.15468/dl.wfxgv1","title":"Occurrence Download","year":2018,"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":[0.0009913099,0.002006513,0.001605607,0.006021886,0.0009727631,0.002578248,0.002890815,0.001889804,0.1796469],"category_scores_gemma":[0.006303585,0.0008707548,0.001154584,0.01113614,0.0004250114,0.002530399,0.002994856,0.002013132,0.2661055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001560718,"about_ca_system_score_gemma":0.002554293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02263893,"about_ca_topic_score_gemma":0.04122091,"domain_scores_codex":[0.9988475,0.0001442538,0.0001402253,0.0003884824,0.0002779643,0.0002015546],"domain_scores_gemma":[0.9973404,0.0006362362,0.0002460806,0.000691123,0.0007490917,0.000337067],"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":[0.0000234579,0.000007946333,0.0002801731,0.0004302153,0.00001172803,0.00001117448,0.000019106,0.00007743008,0.00008557219,0.0003171201,0.9974567,0.001279299],"study_design_scores_gemma":[0.00005328857,0.000006450848,0.001529463,0.0001639396,0.00001164308,0.00002869323,0.00005780526,0.00009747798,0.0001497502,0.000646868,0.9972398,0.00001479525],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003515952,0.00002785257,0.00004306668,0.00003308126,0.00001169325,0.000005311944,0.9986773,0.0004181495,0.00074827],"genre_scores_gemma":[0.0001373859,0.00003414411,0.0001809413,0.00004200394,0.000003808478,0.00003704788,0.9988661,0.0001664752,0.0005320773],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8203532,"threshold_uncertainty_score":0.6009787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}