{"id":"W6943436280","doi":"10.15468/dl.w8rxe8","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); Order (exchange); Species name","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":[0.001038375,0.002128567,0.001788573,0.006014424,0.0009992736,0.002612371,0.003085291,0.002081481,0.166059],"category_scores_gemma":[0.005896469,0.0009953438,0.001162475,0.01194322,0.0004700648,0.002344533,0.002552215,0.002049886,0.2129552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001807038,"about_ca_system_score_gemma":0.002744609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02773086,"about_ca_topic_score_gemma":0.04188614,"domain_scores_codex":[0.9989077,0.000132285,0.0001429513,0.0003659499,0.0002584589,0.000192839],"domain_scores_gemma":[0.9974226,0.0006993701,0.0002504355,0.0006468776,0.0006544909,0.0003262988],"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":[0.00003310682,0.0000116166,0.0003540051,0.0005813537,0.00001553025,0.00001625278,0.00002467073,0.0001252386,0.0001350644,0.0003970591,0.9968691,0.001436825],"study_design_scores_gemma":[0.00007335641,0.000007646129,0.002038268,0.0001885008,0.00001541413,0.00003944113,0.00007235644,0.000136506,0.0002155156,0.0006599392,0.9965338,0.00001927944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003396282,0.00002182001,0.00003382899,0.0000263653,0.000008517249,0.000004087985,0.9990401,0.0003020288,0.0005293147],"genre_scores_gemma":[0.000127871,0.00002689282,0.0001526788,0.00003209932,0.000002550817,0.00003091869,0.9991041,0.0001200423,0.0004027777],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.833941,"threshold_uncertainty_score":0.5555227,"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."}}