{"id":"W6924577396","doi":"10.15468/dl.s3cxkj","title":"Occurrence Download","year":2020,"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); Vulpes; Sample (material)","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":[0.001107344,0.00203366,0.001704802,0.005837495,0.0008799566,0.002543483,0.002900157,0.002012368,0.1683357],"category_scores_gemma":[0.006387649,0.0009673975,0.001179691,0.0112439,0.0004571163,0.002357499,0.002589486,0.001894105,0.2168118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618517,"about_ca_system_score_gemma":0.002358367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01906895,"about_ca_topic_score_gemma":0.02872623,"domain_scores_codex":[0.9988489,0.0001510803,0.0001609014,0.000389888,0.0002573576,0.0001919655],"domain_scores_gemma":[0.9972945,0.0007279798,0.0002728034,0.0007115961,0.0006591508,0.0003339614],"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":[0.00003598338,0.00001151053,0.0003805137,0.0006470136,0.00001754047,0.00001567479,0.00002215119,0.0001340416,0.0001343462,0.0003810461,0.9967065,0.001513628],"study_design_scores_gemma":[0.00007774973,0.000008892632,0.00196472,0.0002013283,0.00001600462,0.0000387333,0.0000622174,0.0001461608,0.0002087267,0.0007038385,0.9965534,0.00001821541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003369937,0.0000250473,0.00003541346,0.0000286436,0.00000973938,0.000004785748,0.9990185,0.0003158298,0.0005283477],"genre_scores_gemma":[0.0001414943,0.0000315,0.0001546866,0.00003929393,0.000003112881,0.00003522531,0.9991043,0.000119163,0.0003710559],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8316643,"threshold_uncertainty_score":0.5631389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}